STONY BROOK MEDICINE

Department of Biomedical Informatics

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FACULTY PROFILE · REVIEW PREVIEW

Prateek Prasanna

Department of Biomedical Informatics

Publications

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RankByGene: GeneGene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency

Wentao Huang, Meilong Xu, Xiaoling Hu, Shahira Abousamra, Aniruddha Ganguly, Saarthak Kapse, Alisa Yurovsky, Prateek Prasanna, Tahsin Kurç, Joel Saltz, Michael L. Miller, Chao Chen

ORCID match IEEE Transactions on Medical Imaging · 2026 · Found in OpenAlex

DOI: 10.1109/tmi.2026.3725898

Choose for “RankByGene: GeneGene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency”

Radiomics-based Differentiation of Recurrent Brain Metastases from Treatment Effects: A Multi-Institutional Comparative Study with Advanced Imaging

Hyemin Um, Marwa Ismail, Virginia Hill, Sushant Puri, Jennifer S. Yu, Lan Lŭ, Ameya Nayate, Anthony Higinbotham, Lisa R. Rogers, Prateek Prasanna, Mainak Bardhan, Chengnan Li, Mustafa Basree, Andrew M. Baschnagel, Alan B. McMillan, Ankush Bhatia, Manmeet S. Ahluwalia, Michael C. Veronesi, Pallavi Tiwari

ORCID match Radiology Imaging Cancer · 2026 · Found in OpenAlex, PubMed

DOI: 10.1148/rycan.250435

Choose for “Radiomics-based Differentiation of Recurrent Brain Metastases from Treatment Effects: A Multi-Institutional Comparative Study with Advanced Imaging”

Heterogeneous and Nonlinear Growth Patterns in Abdominal Aortic Aneurysms

William Kartsonis, Ahmad Aljobeh, Joel Saltz, Mary Saltz, Prateek Prasanna, Apostolos Tassiopoulos

ORCID match Journal of Vascular Surgery · 2026 · Found in OpenAlex

DOI: 10.1016/j.jvs.2026.03.310

Choose for “Heterogeneous and Nonlinear Growth Patterns in Abdominal Aortic Aneurysms”

Erratum to Wu J, Bae J, Chen C, Ryu S, Lozeau D, Stessin A, Prasanna P. Magnetic resonance imaging radiomic analysis of radiation-induced morphea of the breast: a proof-of-concept study. Adv Radiat Oncol 2025;10:101881

Jieying Wu, Joseph Bae, Chao Chen, Samuel Ryu, Daniel Lozeau, Alexander Stessin, Prateek Prasanna

ORCID match Advances in Radiation Oncology · 2026 · Found in OpenAlex, PubMed

DOI: 10.1016/j.adro.2026.102011

Choose for “Erratum to Wu J, Bae J, Chen C, Ryu S, Lozeau D, Stessin A, Prasanna P. Magnetic resonance imaging radiomic analysis of radiation-induced morphea of the breast: a proof-of-concept study. Adv Radiat Oncol 2025;10:101881”

DSAI-09 INTERPRETABLE RADIOMICS RISK SIGNATURE FOR DISTINGUISHING TUMOR RECURRENCE FROM RADIATION NECROSIS IN BRAIN METASTASES ON POST-TREATMENT MRI: A COMPARATIVE ANALYSIS WITH ‘BLACK-BOX’ APPROACHES

Dheerendranath Battalapalli, Hyemin Um, Marwa Ismail, Virginia Hill, Sushant Puri, Jennifer S. Yu, Lan Lŭ, Ameya Nayate, Anthony Higinbotham, Lisa R. Rogers, Prateek Prasanna, Mainak Bardhan, Chengnan Li, Mustafa Basree, Andrew M. Baschnagel, Alan B. McMillan, Ankush Bhatia, Manmeet Singh Ahluwalia, Michael C. Veronesi, Pallavi Tiwari

ORCID match Neuro-Oncology Advances · 2026 · Found in OpenAlex

DOI: 10.1093/noajnl/vdag161.026

Choose for “DSAI-09 INTERPRETABLE RADIOMICS RISK SIGNATURE FOR DISTINGUISHING TUMOR RECURRENCE FROM RADIATION NECROSIS IN BRAIN METASTASES ON POST-TREATMENT MRI: A COMPARATIVE ANALYSIS WITH ‘BLACK-BOX’ APPROACHES”

ZoomLDM: Latent Diffusion Model for multi-scale image generation

Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Prateek Prasanna, Rajarsi Gupta, Joel Saltz, Dimitris Samaras

ORCID match · 2025 · Found in OpenAlex

DOI: 10.1109/cvpr52734.2025.02184

Choose for “ZoomLDM: Latent Diffusion Model for multi-scale image generation”

TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model

Meilong Xu, Saumya Gupta, Xiaoling Hu, Chen Li, Shahira Abousamra, Dimitris Samaras, Prateek Prasanna, Chao Chen

ORCID match Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2025 · Found in OpenAlex, PubMed

DOI: 10.1109/cvpr52734.2025.01954

Choose for “TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model”

PixCell: A generative foundation model for digital histopathology images.

Srikar Yellapragada, Alexandros Graikos, Zilinghan Li, Kostas Triaridis, Varun Belagali, Saarthak Kapse, Tarak Nandi, Ravi Madduri, Prateek Prasanna, Tahsin Kurç, Rajarsi Gupta, Joel Saltz, Dimitris Samaras

ORCID match PubMed · 2025 · Found in OpenAlex, PubMed

Choose for “PixCell: A generative foundation model for digital histopathology images.”

Pathology Image Compression with Pre-trained Autoencoders

Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Zilinghan Li, Tarak Nandi, Ravi Madduri, Prateek Prasanna, Joel Saltz, Dimitris Samaras

ORCID match Lecture notes in computer science · 2025 · Found in OpenAlex

DOI: 10.1007/978-3-032-04937-7_42

Choose for “Pathology Image Compression with Pre-trained Autoencoders”

Pathology Image Compression with Pre-trained Autoencoders

Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Zilinghan Li, Tarak Nandi, Ravi Madduri, Prateek Prasanna, Joel Saltz, Dimitris Samaras

ORCID match arXiv (Cornell University) · 2025 · Found in OpenAlex

DOI: 10.48550/arxiv.2503.11591

Choose for “Pathology Image Compression with Pre-trained Autoencoders”

Microstructure, Mechanical Characteristics, Wear Behaviour, and Machine Operation of AZ91D-B4C-ZrO2 Blended Composites

Chilakamarri L. Aslesha, Angadi Seshappa, Prateek Prasanna, K.C. Anil, K. Deepak, K. Prudhvi Raj

ORCID match Advances in engineering research/Advances in Engineering Research · 2025 · Found in OpenAlex

DOI: 10.2991/978-94-6463-662-8_41

Choose for “Microstructure, Mechanical Characteristics, Wear Behaviour, and Machine Operation of AZ91D-B4C-ZrO2 Blended Composites”

Manufacturing with Investigations on Al-7175/RHA/Al2O3 Composite Using a Stir Casting

L. Jayahari, Angadi Seshappa, Prateek Prasanna, K. Prudhvi Raj, Bhavanasi Subbaratnam, K. Chandra Shekar

ORCID match Advances in engineering research/Advances in Engineering Research · 2025 · Found in OpenAlex

DOI: 10.2991/978-94-6463-662-8_38

Choose for “Manufacturing with Investigations on Al-7175/RHA/Al2O3 Composite Using a Stir Casting”

Implementation of 8-Bit Asynchronous SAR ADC

Prateek Prasanna

ORCID match International Journal for Research in Applied Science and Engineering Technology · 2025 · Found in OpenAlex

DOI: 10.22214/ijraset.2025.67010

Choose for “Implementation of 8-Bit Asynchronous SAR ADC”

GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology

Saarthak Kapse, Pushpak Pati, Srikar Yellapragada, Srijan Das, Rajarsi Gupta, Joel Saltz, Dimitris Samaras, Prateek Prasanna

ORCID match · 2025 · Found in OpenAlex

DOI: 10.1109/iccv51701.2025.01862

Choose for “GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology”

From digitized whole‐slide histology images to biomarker discovery: A protocol for handcrafted feature analysis in brain cancer pathology

Xuan-Jun Lu, Yawen Ying, Jing Chen, Zhiyang Chen, Yuxin Wu, Prateek Prasanna, Xin Chen, Mingli Jing, Zaiyi Liu, Cheng Lu

ORCID match Brain‐X · 2025 · Found in OpenAlex

DOI: 10.1002/brx2.70030

Choose for “From digitized whole‐slide histology images to biomarker discovery: A protocol for handcrafted feature analysis in brain cancer pathology”

Extended reality in the changing landscape of cranial neurosurgery: Role of image fusions and connectomics in precision and safety

Gagandeep Singh, Annie Singh, Tejasvi Kainth, Sidharth Sunil Menon, Shubham Jain, Vadim Spektor, Prateek Prasanna, Sunil Manjila

ORCID match Journal of Clinical Neuroscience · 2025 · Found in OpenAlex, PubMed

DOI: 10.1016/j.jocn.2025.111652

Choose for “Extended reality in the changing landscape of cranial neurosurgery: Role of image fusions and connectomics in precision and safety”

Eco-evolutionary Guided Pathomics Analysis to Predict DCIS Upstaging.

Yujie Xiao, Manal Elmasry, Ji Dong K. Bai, Andrew Chen, Yuzhu Chen, Brooke Jackson, Joseph Johnson, Robert J. Gillies, Prateek Prasanna, Chao Chen, Mehdi Damaghi

Name match · unconfirmed bioRxiv : the preprint server for biology · 2025 · Found in PubMed

DOI: 10.1101/2024.06.23.600274

Choose for “Eco-evolutionary Guided Pathomics Analysis to Predict DCIS Upstaging.”

Comparing efficiency of an attention-based deep learning network with contemporary radiological workflow for pulmonary embolism detection on CTPA: A retrospective study

Gagandeep Singh, Annie Singh, Tejasvi Kainth, Sudhir Suman, Nicole Sakla, Luke Partyka, Tej Phatak, Prateek Prasanna

ORCID match European Journal of Radiology Open · 2025 · Found in OpenAlex, PubMed

DOI: 10.1016/j.ejro.2025.100657

Choose for “Comparing efficiency of an attention-based deep learning network with contemporary radiological workflow for pulmonary embolism detection on CTPA: A retrospective study”

ZoomLDM: Latent Diffusion Model for multi-scale image generation

Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Prateek Prasanna, Rajarsi Gupta, Joel Saltz, Dimitris Samaras

ORCID match arXiv (Cornell University) · 2024 · Found in OpenAlex

DOI: 10.48550/arxiv.2411.16969

Choose for “ZoomLDM: Latent Diffusion Model for multi-scale image generation”

Unauthorized Drone Detection Using Deep Learning

P Bhavani, Prateek Prasanna, M Dhivagar, S Velliangiry

ORCID match International Journal for Research in Applied Science and Engineering Technology · 2024 · Found in OpenAlex

DOI: 10.22214/ijraset.2024.61496

Choose for “Unauthorized Drone Detection Using Deep Learning”

TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model

Meilong Xu, Saumya Gupta, Xiaoling Hu, Chen Li, Shahira Abousamra, Dimitris Samaras, Prateek Prasanna, Chao Chen

ORCID match arXiv (Cornell University) · 2024 · Found in OpenAlex

DOI: 10.48550/arxiv.2412.06011

Choose for “TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model”

Surgical Phase Recognition in Laparoscopic Cholecystectomy

Yunfan Li, Himanshu Gupta, Prateek Prasanna, I. V. Ramakrishnan, Haibin Ling

ORCID match Procedia Computer Science · 2024 · Found in OpenAlex

DOI: 10.1016/j.procs.2024.06.386

Choose for “Surgical Phase Recognition in Laparoscopic Cholecystectomy”

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology

Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel Saltz, Dimitris Samaras, Rajarsi Gupta, Prateek Prasanna

ORCID match Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2024 · Found in OpenAlex, PubMed

DOI: 10.1109/cvpr52733.2024.01067

Choose for “SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology”

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency

Wentao Huang, Meilong Xu, Hu, Xiaoling, Shahira Abousamra, Aniruddha Ganguly, Saarthak Kapse, Alisa Yurovsky, Prateek Prasanna, Tahsin Kurç, Joel Saltz, M. L. Miller, Chao Chen

ORCID match arXiv (Cornell University) · 2024 · Found in ORCID, OpenAlex

DOI: 10.48550/arxiv.2411.15076

Choose for “RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency”

Pretreatment Spatially Aware Magnetic Resonance Imaging Radiomics Can Predict Distant Brain Metastases (DBMs) After Stereotactic Radiosurgery/Radiation Therapy (SRS/SRT)

Joseph Bae, Kartik Mani, Ewa Zabrocka, Renee Cattell, B. O'Grady, David Payne, John Roberson, Samuel Ryu, Prateek Prasanna

ORCID match Advances in Radiation Oncology · 2024 · Found in OpenAlex, PubMed

DOI: 10.1016/j.adro.2024.101457

Choose for “Pretreatment Spatially Aware Magnetic Resonance Imaging Radiomics Can Predict Distant Brain Metastases (DBMs) After Stereotactic Radiosurgery/Radiation Therapy (SRS/SRT)”

Performance of GPT-4 on the American College of Radiology In-training Examination: Evaluating Accuracy, Model Drift, and Fine-tuning

David Payne, Kush Purohit, Walter Morales Borrero, Katherine Chung, Max Hao, Mutshipay Mpoy, Michael Jin, Prateek Prasanna, Virginia Hill

ORCID match Academic Radiology · 2024 · Found in OpenAlex, PubMed

DOI: 10.1016/j.acra.2024.04.006

Choose for “Performance of GPT-4 on the American College of Radiology In-training Examination: Evaluating Accuracy, Model Drift, and Fine-tuning”

Performance of GPT-4 on the American College of Radiology In-Service Examination

David Payne, Kush Purohit, Walter Morales Borrero, Katherine Chung, Max Hao, Mutshipay Mpoy, Michael Jin, Prateek Prasanna, Virginia Hill

ORCID match bioRxiv (Cold Spring Harbor Laboratory) · 2024 · Found in OpenAlex

DOI: 10.1101/2024.02.15.580546

Choose for “Performance of GPT-4 on the American College of Radiology In-Service Examination”

PathLDM: Text conditioned Latent Diffusion Model for Histopathology

Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin Kurç, Joel Saltz, Dimitris Samaras

ORCID match IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision · 2024 · Found in OpenAlex, PubMed

DOI: 10.1109/wacv57701.2024.00510

Choose for “PathLDM: Text conditioned Latent Diffusion Model for Histopathology”

New frontiers in domain-inspired radiomics and radiogenomics: increasing role of molecular diagnostics in CNS tumor classification and grading following WHO CNS-5 updates

Gagandeep Singh, Annie Singh, Joseph Bae, Sunil Manjila, Vadim Spektor, Prateek Prasanna, Angela Lignelli

ORCID match Cancer Imaging · 2024 · Found in OpenAlex, PubMed

DOI: 10.1186/s40644-024-00769-6

Choose for “New frontiers in domain-inspired radiomics and radiogenomics: increasing role of molecular diagnostics in CNS tumor classification and grading following WHO CNS-5 updates”

New Spatial Phenotypes from Imaging Uncover Survival Differences for Breast Cancer Patients

Mahmudul Hasan, Ariadna Kim Silva, Shahira Abousamra, Shao‐Jun Tang, Prateek Prasanna, Joel Saltz, Kevin Gardner, Chao Chen, Alisa Yurovsky

ORCID match ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2024 · Found in OpenAlex, PubMed

DOI: 10.1145/3698587.3701333

Choose for “New Spatial Phenotypes from Imaging Uncover Survival Differences for Breast Cancer Patients”

Linking The Cancer Imaging Archive and GenBank to the National Clinical Cohort Collaborative

Ahmad Baghal, Joel Saltz, Tahsin Kurç, Prateek Prasanna, Samantha Baghal, Janos Hajagos, Erich Bremer, Shaymaa Al‐Shukri, Joshua L. Kennedy, Michael Rutherford, Tracy S. Nolan, Kirk Smith, Christopher G. Chute, Fred Prior

ORCID match Learning Health Systems · 2024 · Found in OpenAlex, PubMed

DOI: 10.1002/lrh2.10457

Choose for “Linking The Cancer Imaging Archive and GenBank to the National Clinical Cohort Collaborative”

Learned Representation-Guided Diffusion Models for Large-Image Generation

Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel Saltz, Dimitris Samaras

ORCID match Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2024 · Found in OpenAlex, PubMed

DOI: 10.1109/cvpr52733.2024.00815

Choose for “Learned Representation-Guided Diffusion Models for Large-Image Generation”

Hard Negative Sample Mining for Whole Slide Image Classification

Wentao Huang, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Chao Chen

ORCID match Lecture notes in computer science · 2024 · Found in OpenAlex, PubMed

DOI: 10.1007/978-3-031-72083-3_14

Choose for “Hard Negative Sample Mining for Whole Slide Image Classification”

Hard Negative Sample Mining for Whole Slide Image Classification

Wentao Huang, Hu, Xiaoling, Shahira Abousamra, Prateek Prasanna, Chao Chen

ORCID match arXiv (Cornell University) · 2024 · Found in OpenAlex

DOI: 10.48550/arxiv.2410.02212

Choose for “Hard Negative Sample Mining for Whole Slide Image Classification”

Geometric features of pulmonary arteries are associated with early progression and progression-free survival in small-cell lung cancer patients treated with chemotherapy and immunotherapy

Margalit G. Mitzner, Moinak Bhattacharya, Radhika Gutta, Chao Chen, Shirish M. Gadgeel, Prateek Prasanna

ORCID match · 2024 · Found in OpenAlex

DOI: 10.1117/12.3008810

Choose for “Geometric features of pulmonary arteries are associated with early progression and progression-free survival in small-cell lung cancer patients treated with chemotherapy and immunotherapy”

Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning

Varun Belagali, Srikar Yellapragada, Alexandros Graikos, Saarthak Kapse, Zilinghan Li, Tarak Nandi, Ravi Madduri, Prateek Prasanna, Joel Saltz, Dimitris Samaras

ORCID match arXiv (Cornell University) · 2024 · Found in OpenAlex

DOI: 10.48550/arxiv.2412.01672

Choose for “Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning”

Deep learning and radiomics-based vascular calcification characterization in dental cone beam computed tomography as a predictive tool for cardiovascular disease: a proof-of-concept study

Mina Mahdian, Amr A. Ahmed, Moinak Bhattacharya, Prateek Prasanna

ORCID match Oral Surgery Oral Medicine Oral Pathology and Oral Radiology · 2024 · Found in OpenAlex, PubMed

DOI: 10.1016/j.oooo.2024.12.010

Choose for “Deep learning and radiomics-based vascular calcification characterization in dental cone beam computed tomography as a predictive tool for cardiovascular disease: a proof-of-concept study”

DSAI-04 AI-DRIVEN MR IMAGE FEATURES VERSUS RANO-BM CRITERIA IN DISTINGUISHING RECURRENT BRAIN METASTASES FROM RADIATION TREATMENT EFFECT: A COMPARATIVE, MULTI-INSTITUTIONAL STUDY

Hyemin Um, Marwa Ismail, Virginia Hill, Sushant Puri, Jennifer S. Yu, Lan Lŭ, Ameya Nayate, Lisa R. Rogers, Prateek Prasanna, Mainak Bardhan, Chengnan Li, Mustafa Basree, Andrew Baschnagel, Alan B. McMillan, Ankush Bhatia, Manmeet S. Ahluwalia, Michael C. Veronesi, Pallavi Tiwari

ORCID match Neuro-Oncology Advances · 2024 · Found in OpenAlex

DOI: 10.1093/noajnl/vdae090.036

Choose for “DSAI-04 AI-DRIVEN MR IMAGE FEATURES VERSUS RANO-BM CRITERIA IN DISTINGUISHING RECURRENT BRAIN METASTASES FROM RADIATION TREATMENT EFFECT: A COMPARATIVE, MULTI-INSTITUTIONAL STUDY”

Correction: New frontiers in domain-inspired radiomics and radiogenomics: increasing role of molecular diagnostics in CNS tumor classification and grading following WHO CNS-5 updates

Gagandeep Singh, Annie Singh, Joseph Bae, Sunil Manjila, Vadim Spektor, Prateek Prasanna, Angela Lignelli

ORCID match Cancer Imaging · 2024 · Found in OpenAlex, PubMed

DOI: 10.1186/s40644-024-00795-4

Choose for “Correction: New frontiers in domain-inspired radiomics and radiogenomics: increasing role of molecular diagnostics in CNS tumor classification and grading following WHO CNS-5 updates”

Biophysical deformation in brain-around-tumor on MRI can distinguish radionecrosis vs recurrent tumor in brain metastases: A feasibility study

Hyemin Um, Virginia Hill, Marwa Ismail, Sushant Puri, Ameya Nayate, Prateek Prasanna, Lisa R. Rogers, Jennifer S. Yu, Pallavi Tiwari

ORCID match Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · 2024 · Found in OpenAlex

DOI: 10.58530/2023/0487

Choose for “Biophysical deformation in brain-around-tumor on MRI can distinguish radionecrosis vs recurrent tumor in brain metastases: A feasibility study”

BIOM-54. AI-DRIVEN RISK-OF-PROGRESSION (AIRIP) CLASSIFIER FOR DISTINGUISHING RECURRENT BRAIN METASTASES FROM RADIATION TREATMENT EFFECT: A MULTI-INSTITUTIONAL COMPARATIVE STUDY WITH ADVANCED MULTIMODAL IMAGING

Hyemin Um, Marwa Ismail, Virginia Hill, Sushant Puri, Jennifer S. Yu, Lan Lŭ, Ameya Nayate, Lisa R. Rogers, Prateek Prasanna, Mainak Bardhan, Chengnan Li, Mustafa Basree, Andrew Baschnagel, Alan B. McMillan, Ankush Bhatia, Manmeet S. Ahluwalia, Michael C. Veronesi, Pallavi Tiwari

ORCID match Neuro-Oncology · 2024 · Found in OpenAlex

DOI: 10.1093/neuonc/noae165.0126

Choose for “BIOM-54. AI-DRIVEN RISK-OF-PROGRESSION (AIRIP) CLASSIFIER FOR DISTINGUISHING RECURRENT BRAIN METASTASES FROM RADIATION TREATMENT EFFECT: A MULTI-INSTITUTIONAL COMPARATIVE STUDY WITH ADVANCED MULTIMODAL IMAGING”

Automated Detection of Cervical Spinal Stenosis and Cord Compression via Vision Transformer and Rules-Based Classification

David Payne, Xuan Xu, Farshid Faraji, Kevin John, Katherine Ferra Pradas, Vahni Vishala Bernard, Lev Bangiyev, Prateek Prasanna

ORCID match American Journal of Neuroradiology · 2024 · Found in OpenAlex, PubMed

DOI: 10.3174/ajnr.a8141

Choose for “Automated Detection of Cervical Spinal Stenosis and Cord Compression via Vision Transformer and Rules-Based Classification”

Advancing Precision Medicine: Algebraic Topology and Differential Geometry in Radiology and Computational Pathology

Richard M. Levenson, Yashbir Singh, Bastian Rieck, Quincy A. Hathaway, Colleen Farrelly, Jennifer Rozenblit, Prateek Prasanna, Bradley J. Erickson, Ashok Choudhury, Gunnar Carlsson, Deepa Sarkar

ORCID match Laboratory Investigation · 2024 · Found in OpenAlex, PubMed

DOI: 10.1016/j.labinv.2024.102060

Choose for “Advancing Precision Medicine: Algebraic Topology and Differential Geometry in Radiology and Computational Pathology”

Tu1991 COMPUTATIONAL MAPPING OF IMMUNOHISTOCHEMICAL MARKER POSITIVITY TO H&E-DETECTED HISTOLOGICAL ABNORMALITIES ACROSS MOUSE MODELS OF COLITIS

Soma Kobayashi, Chris J. Sullivan, Ainara Ruiz de Sabando, Sui Y. Zee, Prateek Prasanna, Agnieszka B. Bialkowska, Joel Saltz, Vincent W. Yang

ORCID match Gastroenterology · 2023 · Found in OpenAlex

DOI: 10.1016/s0016-5085(23)03709-5

Choose for “Tu1991 COMPUTATIONAL MAPPING OF IMMUNOHISTOCHEMICAL MARKER POSITIVITY TO H&E-DETECTED HISTOLOGICAL ABNORMALITIES ACROSS MOUSE MODELS OF COLITIS”

Topology-Aware Uncertainty for Image Segmentation

Saumya Gupta, Yikai Zhang, Hu, Xiaoling, Prateek Prasanna, Chao Chen

ORCID match PubMed · 2023 · Found in OpenAlex, PubMed

DOI: 10.48550/arxiv.2306.05671

Choose for “Topology-Aware Uncertainty for Image Segmentation”

Token Sparsification for Faster Medical Image Segmentation

Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna

ORCID match Lecture notes in computer science · 2023 · Found in OpenAlex, PubMed

DOI: 10.1007/978-3-031-34048-2_57

Choose for “Token Sparsification for Faster Medical Image Segmentation”

Token Sparsification for Faster Medical Image Segmentation

Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna

ORCID match arXiv (Cornell University) · 2023 · Found in OpenAlex

DOI: 10.48550/arxiv.2303.06522

Choose for “Token Sparsification for Faster Medical Image Segmentation”

Supplementary Tables from Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer

Mohammadhadi Khorrami, Prateek Prasanna, Amit Gupta, Pradnya D. Patil, Priya Velu, Rajat Thawani, Germán Corredor, Mehdi Alilou, Kaustav Bera, Pingfu Fu, Michael D. Feldman, Vamsidhar Velcheti, Anant Madabhushi

ORCID match · 2023 · Found in OpenAlex

DOI: 10.1158/2326-6066.22543101

Choose for “Supplementary Tables from Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer”

Supplementary Tables from Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer

Mohammadhadi Khorrami, Prateek Prasanna, Amit Gupta, Pradnya D. Patil, Priya Velu, Rajat Thawani, Germán Corredor, Mehdi Alilou, Kaustav Bera, Pingfu Fu, Michael D. Feldman, Vamsidhar Velcheti, Anant Madabhushi

ORCID match · 2023 · Found in OpenAlex

DOI: 10.1158/2326-6066.22543101.v1

Choose for “Supplementary Tables from Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer”

Supplementary Sheet from Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma

Niha Beig, Kaustav Bera, Prateek Prasanna, Jacob Antunes, Ramón Correa, Salendra Singh, Anas Saeed Bamashmos, Marwa Ismail, Nathaniel Braman, Ruchika Verma, Virginia Hill, Volodymyr Statsevych, Manmeet S. Ahluwalia, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari

ORCID match · 2023 · Found in OpenAlex

DOI: 10.1158/1078-0432.22476179.v1

Choose for “Supplementary Sheet from Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma”

Supplementary Sheet from Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma

Niha Beig, Kaustav Bera, Prateek Prasanna, Jacob Antunes, Ramón Correa, Salendra Singh, Anas Saeed Bamashmos, Marwa Ismail, Nathaniel Braman, Ruchika Verma, Virginia Hill, Volodymyr Statsevych, Manmeet S. Ahluwalia, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari

ORCID match · 2023 · Found in OpenAlex

DOI: 10.1158/1078-0432.22476179

Choose for “Supplementary Sheet from Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma”

Supplementary Figures from Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer

Mohammadhadi Khorrami, Prateek Prasanna, Amit Gupta, Pradnya D. Patil, Priya Velu, Rajat Thawani, Germán Corredor, Mehdi Alilou, Kaustav Bera, Pingfu Fu, Michael D. Feldman, Vamsidhar Velcheti, Anant Madabhushi

ORCID match · 2023 · Found in OpenAlex

DOI: 10.1158/2326-6066.22543104

Choose for “Supplementary Figures from Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer”

Supplementary Figures from Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer

Mohammadhadi Khorrami, Prateek Prasanna, Amit Gupta, Pradnya D. Patil, Priya Velu, Rajat Thawani, Germán Corredor, Mehdi Alilou, Kaustav Bera, Pingfu Fu, Michael D. Feldman, Vamsidhar Velcheti, Anant Madabhushi

ORCID match · 2023 · Found in OpenAlex

DOI: 10.1158/2326-6066.22543104.v1

Choose for “Supplementary Figures from Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer”

Supplementary Document from Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma

Niha Beig, Kaustav Bera, Prateek Prasanna, Jacob Antunes, Ramón Correa, Salendra Singh, Anas Saeed Bamashmos, Marwa Ismail, Nathaniel Braman, Ruchika Verma, Virginia Hill, Volodymyr Statsevych, Manmeet S. Ahluwalia, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari

ORCID match · 2023 · Found in OpenAlex

DOI: 10.1158/1078-0432.22476182

Choose for “Supplementary Document from Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma”

Supplementary Document from Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma

Niha Beig, Kaustav Bera, Prateek Prasanna, Jacob Antunes, Ramón Correa, Salendra Singh, Anas Saeed Bamashmos, Marwa Ismail, Nathaniel Braman, Ruchika Verma, Virginia Hill, Volodymyr Statsevych, Manmeet S. Ahluwalia, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari

ORCID match · 2023 · Found in OpenAlex

DOI: 10.1158/1078-0432.22476182.v1

Choose for “Supplementary Document from Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma”

Supplementary Data from Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers

Nathaniel Braman, Prateek Prasanna, Kaustav Bera, Mehdi Alilou, Mohammadhadi Khorrami, Patrick Leo, Maryam Etesami, Manasa Vulchi, Paulette Turk, Amit Gupta, Prantesh Jain, Pingfu Fu, Nathan A. Pennell, Vamsidhar Velcheti, Jame Abraham, Donna Plecha, Anant Madabhushi

ORCID match · 2023 · Found in OpenAlex

DOI: 10.1158/1078-0432.22488830

Choose for “Supplementary Data from Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers”

Supplementary Data from Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers

Nathaniel Braman, Prateek Prasanna, Kaustav Bera, Mehdi Alilou, Mohammadhadi Khorrami, Patrick Leo, Maryam Etesami, Manasa Vulchi, Paulette Turk, Amit Gupta, Prantesh Jain, Pingfu Fu, Nathan A. Pennell, Vamsidhar Velcheti, Jame Abraham, Donna Plecha, Anant Madabhushi

ORCID match · 2023 · Found in OpenAlex

DOI: 10.1158/1078-0432.22488830.v1

Choose for “Supplementary Data from Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers”

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology

Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel Saltz, Dimitris Samaras, Rajarsi Gupta, Prateek Prasanna

ORCID match arXiv (Cornell University) · 2023 · Found in ORCID, OpenAlex

DOI: 10.48550/arxiv.2312.15010

Choose for “SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology”

SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology

Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras

ORCID match Lecture notes in computer science · 2023 · Found in OpenAlex

DOI: 10.1007/978-3-031-47401-9_16

Choose for “SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology”

Predictive Value of Pre-Treatment MRI Radiomics for Distant Brain Metastases Following Stereotactic Radiosurgery/Radiotherapy

Joseph Bae, Kartik Mani, Ewa Zabrocka, Renee Cattell, B. O'Grady, David Payne, John Roberson, Samuel Ryu, Prateek Prasanna

ORCID match International Journal of Radiation Oncology*Biology*Physics · 2023 · Found in OpenAlex

DOI: 10.1016/j.ijrobp.2023.06.835

Choose for “Predictive Value of Pre-Treatment MRI Radiomics for Distant Brain Metastases Following Stereotactic Radiosurgery/Radiotherapy”

PathLDM: Text conditioned Latent Diffusion Model for Histopathology

Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin Kurç, Joel Saltz, Dimitris Samaras

ORCID match arXiv (Cornell University) · 2023 · Found in OpenAlex

DOI: 10.48550/arxiv.2309.00748

Choose for “PathLDM: Text conditioned Latent Diffusion Model for Histopathology”

Learned representation-guided diffusion models for large-image generation

Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel Saltz, Dimitris Samaras

ORCID match arXiv (Cornell University) · 2023 · Found in ORCID, OpenAlex

DOI: 10.48550/arxiv.2312.07330

Choose for “Learned representation-guided diffusion models for large-image generation”

Data from Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma

Niha Beig, Kaustav Bera, Prateek Prasanna, Jacob Antunes, Ramón Correa, Salendra Singh, Anas Saeed Bamashmos, Marwa Ismail, Nathaniel Braman, Ruchika Verma, Virginia Hill, Volodymyr Statsevych, Manmeet S. Ahluwalia, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari

ORCID match · 2023 · Found in OpenAlex

DOI: 10.1158/1078-0432.c.6529319

Choose for “Data from Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma”

Data from Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma

Niha Beig, Kaustav Bera, Prateek Prasanna, Jacob Antunes, Ramón Correa, Salendra Singh, Anas Saeed Bamashmos, Marwa Ismail, Nathaniel Braman, Ruchika Verma, Virginia Hill, Volodymyr Statsevych, Manmeet S. Ahluwalia, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari

ORCID match · 2023 · Found in OpenAlex

DOI: 10.1158/1078-0432.c.6529319.v1

Choose for “Data from Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma”

Data from Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers

Nathaniel Braman, Prateek Prasanna, Kaustav Bera, Mehdi Alilou, Mohammadhadi Khorrami, Patrick Leo, Maryam Etesami, Manasa Vulchi, Paulette Turk, Amit Gupta, Prantesh Jain, Pingfu Fu, Nathan A. Pennell, Vamsidhar Velcheti, Jame Abraham, Donna Plecha, Anant Madabhushi

ORCID match · 2023 · Found in OpenAlex

DOI: 10.1158/1078-0432.c.6532814

Choose for “Data from Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers”

Data from Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers

Nathaniel Braman, Prateek Prasanna, Kaustav Bera, Mehdi Alilou, Mohammadhadi Khorrami, Patrick Leo, Maryam Etesami, Manasa Vulchi, Paulette Turk, Amit Gupta, Prantesh Jain, Pingfu Fu, Nathan A. Pennell, Vamsidhar Velcheti, Jame Abraham, Donna Plecha, Anant Madabhushi

ORCID match · 2023 · Found in OpenAlex

DOI: 10.1158/1078-0432.c.6532814.v1

Choose for “Data from Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers”

Data from Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer

Mohammadhadi Khorrami, Prateek Prasanna, Amit Gupta, Pradnya D. Patil, Priya Velu, Rajat Thawani, Germán Corredor, Mehdi Alilou, Kaustav Bera, Pingfu Fu, Michael D. Feldman, Vamsidhar Velcheti, Anant Madabhushi

ORCID match · 2023 · Found in OpenAlex

DOI: 10.1158/2326-6066.c.6550137.v1

Choose for “Data from Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer”

Data from Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer

Mohammadhadi Khorrami, Prateek Prasanna, Amit Gupta, Pradnya D. Patil, Priya Velu, Rajat Thawani, Germán Corredor, Mehdi Alilou, Kaustav Bera, Pingfu Fu, Michael D. Feldman, Vamsidhar Velcheti, Anant Madabhushi

ORCID match · 2023 · Found in OpenAlex

DOI: 10.1158/2326-6066.c.6550137

Choose for “Data from Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer”

Automated Assessment of Critical View of Safety in Laparoscopic Cholecystectomy

Yunfan Li, Himanshu Gupta, Haibin Ling, I. V. Ramakrishnan, Prateek Prasanna, Georgios Georgakis, Aaron Sasson

ORCID match arXiv (Cornell University) · 2023 · Found in OpenAlex

DOI: 10.48550/arxiv.2309.07330

Choose for “Automated Assessment of Critical View of Safety in Laparoscopic Cholecystectomy”

Author Correction: Federated learning enables big data for rare cancer boundary detection

Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth Jayachandran Preetha, Felix Sahm, Klaus Maier‐Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey D. Rudie, Javier Villanueva‐Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John W. Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balañá, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, Joseph Lombardo, Joshua D. Palmer, Adam E. Flanders, Adam P. Dicker, Haris I. Sair, Craig Jones, Archana Venkataraman, Meirui Jiang, Tiffany Y. So, Cheng Chen, Pheng‐Ann Heng, Qi Dou, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Keřkovský, Tereza Kopřivová, Marek Dostál, Václav Vybíhal, Michael A. Vogelbaum, J. Ross Mitchell, Joaquim M. Farinhas, Joseph A. Maldjian, Chandan Ganesh Bangalore Yogananda, Marco C. Pinho, Divya Reddy, James M. Holcomb, Benjamin Wagner, Benjamin M. Ellingson, Timothy F. Cloughesy, Catalina Raymond, Talia C. Oughourlian, Akifumi Hagiwara, Chencai Wang, Minh‐Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Alexandre X. Falcão, Samuel Botter Martins, Bernardo Corrêa de Almeida Teixeira, F Sprenger, David Menotti, Diego Rafael Lucio, Pamela LaMontagne, Daniel Marcus, Benedikt Wiestler, Florian Kofler, Ivan Ezhov, Marie Metz

Name match · unconfirmed Nature Communications · 2023 · Found in PubMed

DOI: 10.1038/s41467-023-36188-7

Choose for “Author Correction: Federated learning enables big data for rare cancer boundary detection”

AN INNOVATIVE METHOD OF USING TRASH DEBRIS TO MINIMIZE PRODUCT COSTS WAS INVESTIGATED DURING AN EXAMINATION OF THE TECHNOLOGICAL CHARACTERISTICS OF A HYBRID NANO-COMPOSITE MADE OF AN ALUMINUM MATRIX

Angadi Seshappa, Prateek Prasanna, Bhavanasi Subbaratnam, Naresh Kumar S

ORCID match · 2023 · Found in OpenAlex

DOI: 10.58532/v3bfme7p3ch2

Choose for “AN INNOVATIVE METHOD OF USING TRASH DEBRIS TO MINIMIZE PRODUCT COSTS WAS INVESTIGATED DURING AN EXAMINATION OF THE TECHNOLOGICAL CHARACTERISTICS OF A HYBRID NANO-COMPOSITE MADE OF AN ALUMINUM MATRIX”

Surgical Phase Recognition in Laparoscopic Cholecystectomy

Yunfan Li, Vinayak Shenoy, Prateek Prasanna, I. V. Ramakrishnan, Haibin Ling, Himanshu Gupta

ORCID match arXiv (Cornell University) · 2022 · Found in OpenAlex

DOI: 10.48550/arxiv.2206.07198

Choose for “Surgical Phase Recognition in Laparoscopic Cholecystectomy”

Subtype-Specific Spatial Descriptors of Tumor-Immune Microenvironment are Prognostic of Survival in Lung Adenocarcinoma

Saarthak Kapse, Luke A. Torre-Healy, Richard A. Moffitt, Rajarsi Gupta, Prateek Prasanna

ORCID match 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) · 2022 · Found in OpenAlex

DOI: 10.1109/isbi52829.2022.9761461

Choose for “Subtype-Specific Spatial Descriptors of Tumor-Immune Microenvironment are Prognostic of Survival in Lung Adenocarcinoma”

Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma

Marwa Ismail, Prateek Prasanna, Kaustav Bera, Volodymyr Statsevych, Virginia Hill, Gagandeep Singh, Sasan Partovi, Niha Beig, Sean D. McGarry, Peter S. LaViolette, Manmeet S. Ahluwalia, Anant Madabhushi, Pallavi Tiwari

ORCID match IEEE Transactions on Medical Imaging · 2022 · Found in OpenAlex

DOI: 10.1109/tmi.2022.3148780

Choose for “Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma”

RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment

Jacob Antunes, Marwa Ismail, Imran Hossain, Zhoumengdi Wang, Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, Satish E. Viswanath

ORCID match IEEE Journal of Biomedical and Health Informatics · 2022 · Found in OpenAlex

DOI: 10.1109/jbhi.2022.3146778

Choose for “RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment”

Prediction of Regional and Distant Failure After Definitive Thoracic Stereotactic Body Radiation Therapy (SBRT) Using Pre-Treatment CT-Based Radiomic Analysis

Joseph Bae, Ewa Zabrocka, C. Rodriguez, David Payne, Renee Cattell, S. Ryu, Prateek Prasanna, Kartik Mani

ORCID match International Journal of Radiation Oncology*Biology*Physics · 2022 · Found in OpenAlex

DOI: 10.1016/j.ijrobp.2021.10.181

Choose for “Prediction of Regional and Distant Failure After Definitive Thoracic Stereotactic Body Radiation Therapy (SBRT) Using Pre-Treatment CT-Based Radiomic Analysis”

Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers

Nathaniel Braman, Prateek Prasanna, Kaustav Bera, Mehdi Alilou, Mohammadhadi Khorrami, Patrick Leo, Maryam Etesami, Manasa Vulchi, Paulette Turk, Amit Gupta, Prantesh Jain, Pingfu Fu, Nathan A. Pennell, Vamsidhar Velcheti, Jame Abraham, Donna Plecha, Anant Madabhushi

ORCID match Clinical Cancer Research · 2022 · Found in OpenAlex, PubMed

DOI: 10.1158/1078-0432.ccr-21-4148

Choose for “Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers”

Learning Topological Interactions for Multi-Class Medical Image Segmentation

Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary Saltz, Tahsin Kurç, Joel Saltz, Apostolos K. Tassiopoulos, Prateek Prasanna, Chao Chen

ORCID match arXiv (Cornell University) · 2022 · Found in OpenAlex

DOI: 10.48550/arxiv.2207.09654

Choose for “Learning Topological Interactions for Multi-Class Medical Image Segmentation”

Learning Topological Interactions for Multi-Class Medical Image Segmentation

Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary Saltz, Tahsin Kurç, Joel Saltz, Apostolos K. Tassiopoulos, Prateek Prasanna, Chao Chen

ORCID match Lecture notes in computer science · 2022 · Found in OpenAlex

DOI: 10.1007/978-3-031-19818-2_40

Choose for “Learning Topological Interactions for Multi-Class Medical Image Segmentation”

Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome

Ruiwen Ding, Prateek Prasanna, Germán Corredor, Cristian Barrera, Philipp Zens, Cheng Lu, Priya Velu, Patrick Leo, Niha Beig, Haojia Li, Paula Toro, Sabina Berezowska, Vipul Baxi, David Balli, Merzu Belete, David L. Rimm, Vamsidhar Velcheti, Kurt A. Schalper, Anant Madabhushi

ORCID match npj Precision Oncology · 2022 · Found in OpenAlex, PubMed

DOI: 10.1038/s41698-022-00277-5

Choose for “Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome”

Federated learning enables big data for rare cancer boundary detection

Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih‐Han Wang, G. Anthony Reina, Patrick Foley, А. Д. Груздев, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth Jayachandran Preetha, Felix Sahm, Klaus Maier‐Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey D. Rudie, Javier Villanueva‐Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John W. Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balañá, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, Joseph S. Lombardo, Joshua D. Palmer, Adam E. Flanders, Adam P. Dicker, Haris I. Sair, Craig Jones, Archana Venkataraman, Meirui Jiang, Tiffany Y. So, Cheng Chen, Pheng‐Ann Heng, Qi Dou, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Keřkovský, Tereza Kopřivová, Marek Dostál, Václav Vybíhal, Michael A. Vogelbaum, J. Ross Mitchell, Joaquim M. Farinhas, Joseph A. Maldjian, Chandan Ganesh Bangalore Yogananda, Marco C. Pinho, Divya Reddy, James Holcomb, Benjamin Wagner, Benjamin M. Ellingson, Timothy F. Cloughesy, Catalina Raymond, Talia C. Oughourlian, Akifumi Hagiwara, Chencai Wang, Minh‐Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Alexandre X. Falcão, Samuel Botter Martins, Bernardo Corrêa de Almeida Teixeira, F Sprenger, David Menotti, Diego Rafael Lucio, Pamela LaMontagne, Daniel S. Marcus, Benedikt Wiestler, Florian Kofler, Ivan Ezhov, Marie Metz

Name match · unconfirmed Nature Communications · 2022 · Found in PubMed

DOI: 10.1038/s41467-022-33407-5

Choose for “Federated learning enables big data for rare cancer boundary detection”

EventScore: An Automated Real-time Early Warning Score for Clinical Events

Ibrahim Hammoud, Prateek Prasanna, I. V. Ramakrishnan, Adam J. Singer, Mark C. Henry, Henry C. Thode

ORCID match 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) · 2022 · Found in OpenAlex

DOI: 10.1109/ichi54592.2022.00038

Choose for “EventScore: An Automated Real-time Early Warning Score for Clinical Events”

Density patterns of tumor-infiltrating lymphocytes and association with objective response to nivolumab in patients with lung adenocarcinoma from CheckMate 057.

Germán Corredor, Ruiwen Ding, Prateek Prasanna, Cristian Barrera, Paula Toro, Vidya Sankar Viswanathan, Philipp Zens, Sabina Berezowska, Vipul Baxi, David Balli, Merzu Belete, Vamsidhar Velcheti, Kurt A. Schalper, Anant Madabhushi

ORCID match Journal of Clinical Oncology · 2022 · Found in OpenAlex

DOI: 10.1200/jco.2022.40.16_suppl.2662

Choose for “Density patterns of tumor-infiltrating lymphocytes and association with objective response to nivolumab in patients with lung adenocarcinoma from CheckMate 057.”

Deep learning-based approach to the characterization and quantification of histopathology in mouse models of colitis

Soma Kobayashi, Jason Shieh, Ainara Ruiz de Sabando, Julie Kim, Yang Liu, Sui Y. Zee, Prateek Prasanna, Agnieszka B. Bialkowska, Joel Saltz, Vincent W. Yang

ORCID match PLoS ONE · 2022 · Found in OpenAlex, PubMed

DOI: 10.1371/journal.pone.0268954

Choose for “Deep learning-based approach to the characterization and quantification of histopathology in mouse models of colitis”

Deep learning-based approach for the characterization and quantification of histopathology in mouse models of colitis

Soma Kobayashi, Jason Shieh, Ainara Ruiz de Sabando, Julie Kim, Yang Liu, Sui Y. Zee, Prateek Prasanna, Agnieszka B. Bialkowska, Joel Saltz, Vincent W. Yang

ORCID match bioRxiv (Cold Spring Harbor Laboratory) · 2022 · Found in OpenAlex

DOI: 10.1101/2022.05.12.491690

Choose for “Deep learning-based approach for the characterization and quantification of histopathology in mouse models of colitis”

Analysis of Efficient Security Using Machine Learning Methods

R. Ganesh Babu, J. Bino, K. Kavin Kumar, Prateek Prasanna

ORCID match Lecture notes in electrical engineering · 2022 · Found in OpenAlex

DOI: 10.1007/978-981-16-7985-8_32

Choose for “Analysis of Efficient Security Using Machine Learning Methods”

A tumor vasculature–based imaging biomarker for predicting response and survival in patients with lung cancer treated with checkpoint inhibitors

Mehdi Alilou, Mohammadhadi Khorrami, Prateek Prasanna, Kaustav Bera, Amit Gupta, Vidya Sankar Viswanathan, Pradnya D. Patil, Priya Velu, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi

ORCID match Science Advances · 2022 · Found in OpenAlex, PubMed

DOI: 10.1126/sciadv.abq4609

Choose for “A tumor vasculature–based imaging biomarker for predicting response and survival in patients with lung cancer treated with checkpoint inhibitors”

Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps

Amogh Hiremath, Rakesh Shiradkar, Harri Merisaari, Prateek Prasanna, Otto Ettala, Pekka Taimen, Hannu J. Aronen, Peter J. Boström, Ivan Jambor, Anant Madabhushi

ORCID match European Radiology · 2021 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1007/s00330-020-07065-4

Choose for “Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps”

Sexually dimorphic radiogenomic models identify distinct imaging and biological pathways that are prognostic of overall survival in glioblastoma

Niha Beig, Salendra Singh, Kaustav Bera, Prateek Prasanna, Gagandeep Singh, Jonathan Chen, Anas Saeed Bamashmos, Addison Barnett, Kyle Hunter, Volodymyr Statsevych, Virginia Hill, Vinay Varadan, Anant Madabhushi, Manmeet S. Ahluwalia, Pallavi Tiwari

ORCID match Neuro-oncology · 2021 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1093/neuonc/noaa231

Choose for “Sexually dimorphic radiogenomic models identify distinct imaging and biological pathways that are prognostic of overall survival in glioblastoma”

Radiomics and radiogenomics in gliomas: a contemporary update

Gagandeep Singh, Sunil Manjila, Nicole Sakla, Alan True, Amr H. Wardeh, Niha Beig, Anatoliy Vaysberg, John W. Matthews, Prateek Prasanna, Vadim Spektor

ORCID match British Journal of Cancer · 2021 · Found in OpenAlex, PubMed

DOI: 10.1038/s41416-021-01387-w

Choose for “Radiomics and radiogenomics in gliomas: a contemporary update”

Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma

Marwa Ismail, Prateek Prasanna, Kaustav Bera, Volodymyr Statsevych, Virginia Hill, Gagandeep Singh, Sasan Partovi, Niha Beig, Sean D. McGarry, Peter S. LaViolette, Manmeet S. Ahluwalia, Anant Madabhushi, Pallavi Tiwari

ORCID match arXiv (Cornell University) · 2021 · Found in OpenAlex

DOI: 10.48550/arxiv.2103.07423

Choose for “Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma”

Predicting Mechanical Ventilation and Mortality in COVID-19 Using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study.

Joseph Bae, Saarthak Kapse, Gagandeep Singh, Rishabh Gattu, Syed Ali, Neal Shah, Colin Marshall, Jonathan Pierce, Tej Phatak, Amit Gupta, Jeremy Green, Nikhil Madan, Prateek Prasanna

ORCID match Diagnostics (Basel, Switzerland) · 2021 · Found in PubMed

DOI: 10.3390/diagnostics11101812

Choose for “Predicting Mechanical Ventilation and Mortality in COVID-19 Using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study.”

Predicting Mechanical Ventilation and Mortality in COVID-19 Using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study

Joseph Bae, Saarthak Kapse, Gagandeep Singh, Rishabh Gattu, Syed Liaquat Ali, Neal Shah, Colin Marshall, Jonathan D. Pierce, Tej Phatak, Amit Gupta, Jeremy Green, Nikhil Madan, Prateek Prasanna

ORCID match Diagnostics · 2021 · Found in ORCID, OpenAlex

DOI: 10.3390/diagnostics11101812

Choose for “Predicting Mechanical Ventilation and Mortality in COVID-19 Using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study”

Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network

Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Liaquat Ali, Jeremy Green, Tej Phatak, Amit Gupta, Chao Chen, Joel Saltz, Prateek Prasanna

ORCID match Medical Imaging with Deep Learning · 2021 · Found in OpenAlex

Choose for “Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network”

Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers

Cheng Lu, Can Koyuncu, Germán Corredor, Prateek Prasanna, Patrick Leo, Xiangxue Wang, Andrew Janowczyk, Kaustav Bera, James Lewis, Vamsidhar Velcheti, Anant Madabhushi

ORCID match Medical Image Analysis · 2021 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1016/j.media.2020.101903

Choose for “Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers”

Evolution of chest radiograph radiomics and association with respiratory and inflammatory parameters in COVID-19 patients undergoing prone ventilation: preliminary findings

Connor Cowan, Joseph Bae, Gagandeep Singh, Rohit Khullar, Shrey Shah, Nikhil Madan, Prateek Prasanna

ORCID match · 2021 · Found in OpenAlex

DOI: 10.1117/12.2582292

Choose for “Evolution of chest radiograph radiomics and association with respiratory and inflammatory parameters in COVID-19 patients undergoing prone ventilation: preliminary findings”

EventScore: An Automated Real-time Early Warning Score for Clinical Events

Ibrahim Hammoud, Prateek Prasanna, I. V. Ramakrishnan, Adam J. Singer, Mark Henry, Henry C. Thode

ORCID match arXiv (Cornell University) · 2021 · Found in OpenAlex

DOI: 10.48550/arxiv.2102.05958

Choose for “EventScore: An Automated Real-time Early Warning Score for Clinical Events”

Confirming Hardware Accuracy in Eye Tracking Research

Noah Jennings, Desh Ranjan, Shubham Jain, Prateek Prasanna

ORCID match ODU Digital Commons (Old Dominion University) · 2021 · Found in OpenAlex

Choose for “Confirming Hardware Accuracy in Eye Tracking Research”

Chest Radiograph Disentanglement for COVID-19 Outcome Prediction

Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Dimitris Samaras, Prateek Prasanna

ORCID match Lecture notes in computer science · 2021 · Found in OpenAlex

DOI: 10.1007/978-3-030-87234-2_33

Choose for “Chest Radiograph Disentanglement for COVID-19 Outcome Prediction”

A Novel Nodule Edge Sharpness Radiomic Biomarker Improves Performance of Lung-RADS for Distinguishing Adenocarcinomas from Granulomas on Non-Contrast CT Scans

Mehdi Alilou, Prateek Prasanna, Kaustav Bera, Amit Gupta, Prabhakar Rajiah, Michael Yang, Frank J. Jacono, Vamsidhar Velcheti, Robert Gilkeson, Philip A. Linden, Anant Madabhushi

ORCID match Cancers · 2021 · Found in ORCID, OpenAlex, PubMed

DOI: 10.3390/cancers13112781

Choose for “A Novel Nodule Edge Sharpness Radiomic Biomarker Improves Performance of Lung-RADS for Distinguishing Adenocarcinomas from Granulomas on Non-Contrast CT Scans”

Spatial-And-Context aware (SpACe) "virtual biopsy" radiogenomic maps to\n target tumor mutational status on structural MRI

Marwa Ismail, Ramón Correa, Kaustav Bera, Ruchika Verma, Anas Saeed Bamashmos, Niha Beig, Jacob Antunes, Prateek Prasanna, Volodymyr Statsevych, Manmeet S. Ahluwalia, Pallavi Tiwari

ORCID match arXiv (Cornell University) · 2020 · Found in OpenAlex

DOI: 10.48550/arxiv.2006.09878

Choose for “Spatial-And-Context aware (SpACe) "virtual biopsy" radiogenomic maps to\n target tumor mutational status on structural MRI”

Spatial-And-Context Aware (SpACe) “Virtual Biopsy” Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI

Marwa Ismail, Ramón Correa, Kaustav Bera, Ruchika Verma, Anas Saeed Bamashmos, Niha Beig, Jacob Antunes, Prateek Prasanna, Volodymyr Statsevych, Manmeet S. Ahluwalia, Pallavi Tiwari

ORCID match Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 2020 · Found in ORCID, OpenAlex

DOI: 10.1007/978-3-030-59713-9_30

Choose for “Spatial-And-Context Aware (SpACe) “Virtual Biopsy” Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI”

Radiomics-based assessment of ultra-widefield leakage patterns and vessel network architecture in the PERMEATE study: insights into treatment durability

Prateek Prasanna, Vishal Bobba, Natália Figueiredo, Duriye Damla Sevgi, Cheng Lu, Nathaniel Braman, Mehdi Alilou, Sumit Sharma, Sunil K. Srivastava, Anant Madabhushi, Justis P. Ehlers

ORCID match British Journal of Ophthalmology · 2020 · Found in OpenAlex, PubMed

DOI: 10.1136/bjophthalmol-2020-317182

Choose for “Radiomics-based assessment of ultra-widefield leakage patterns and vessel network architecture in the PERMEATE study: insights into treatment durability”

Radiogenomic-based survival risk stratification of tumor habitat on Gd-T1w MRI is associated with biological processes in glioblastoma

Niha Beig, Kaustav Bera, Prateek Prasanna, Jacob Antunes, Ramón Correa, Salendra Singh, Anas Saeed Bamashmos, Marwa Ismail, Nathaniel Braman, Ruchika Verma, Virginia Hill, Volodymyr Statsevych, Manmeet S. Ahluwalia, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari

ORCID match Clinical Cancer Research · 2020 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1158/1078-0432.ccr-19-2556

Choose for “Radiogenomic-based survival risk stratification of tumor habitat on Gd-T1w MRI is associated with biological processes in glioblastoma”

Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study

Joseph Bae, Saarthak Kapse, Gagandeep Singh, Tej Phatak, Jeremy Green, Nikhil Madan, Prateek Prasanna

ORCID match arXiv (Cornell University) · 2020 · Found in OpenAlex

Choose for “Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study”

Predicting Clinical Outcomes in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study

Bae, Joseph, Saarthak Kapse, Gagandeep Singh, Rishabh Gattu, Ali S, Shah, Neal, Colin Marshall, Pierce, Jonathan, Tej Phatak, Amit Gupta, J. Green, Madan, Nikhil, Prateek Prasanna

ORCID match arXiv (Cornell University) · 2020 · Found in OpenAlex

DOI: 10.48550/arxiv.2007.08028

Choose for “Predicting Clinical Outcomes in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study”

PD57-05 A DEEP LEARNING NETWORK ALONG WITH PIRADS CAN DISTINGUISH CLINICALLY SIGNIFICANT AND INSIGNIFICANT PROSTATE CANCER ON BI-PARAMETRIC MRI: A MULTI-CENTER STUDY

Amogh Hiremath, Rakesh Shiradkar, Harri Merisaari, Lin Li, Prateek Prasanna, Otta Ettala, Pekka Taimen, Hannu J. Aronen, Peter J. Boström, Jonathan D. Pierce, Sree Harsha Tirumani, Art Rastinehad, Ivan Jambor, Andrei S. Purysko, Anant Madabhushi

ORCID match The Journal of Urology · 2020 · Found in OpenAlex

DOI: 10.1097/ju.0000000000000967.05

Choose for “PD57-05 A DEEP LEARNING NETWORK ALONG WITH PIRADS CAN DISTINGUISH CLINICALLY SIGNIFICANT AND INSIGNIFICANT PROSTATE CANCER ON BI-PARAMETRIC MRI: A MULTI-CENTER STUDY”

Imaging Features of Vessels and Leakage Patterns Predict Extended Interval Aflibercept Dosing Using Ultra-Widefield Angiography in Retinal Vascular Disease: Findings From the PERMEATE Study

Azam Moosavi, Natália Figueiredo, Prateek Prasanna, Sunil K. Srivastava, Sumit Sharma, Anant Madabhushi, Justis P. Ehlers

ORCID match IEEE Transactions on Biomedical Engineering · 2020 · Found in OpenAlex

DOI: 10.1109/tbme.2020.3018464

Choose for “Imaging Features of Vessels and Leakage Patterns Predict Extended Interval Aflibercept Dosing Using Ultra-Widefield Angiography in Retinal Vascular Disease: Findings From the PERMEATE Study”

Identifying Cross-Scale Associations between Radiomic and Pathomic Signatures of Non-Small Cell Lung Cancer Subtypes: Preliminary Results

Charlems Alvarez‐Jimenez, Alvaro Sandino, Prateek Prasanna, Amit Gupta, Satish E. Viswanath, Eduardo Romero

ORCID match Cancers · 2020 · Found in ORCID, OpenAlex, PubMed

DOI: 10.3390/cancers12123663

Choose for “Identifying Cross-Scale Associations between Radiomic and Pathomic Signatures of Non-Small Cell Lung Cancer Subtypes: Preliminary Results”

Effects of Prone Ventilation on Oxygenation, Inflammation, and Lung Infiltrates in COVID-19 Related Acute Respiratory Distress Syndrome: A Retrospective Cohort Study

Rohit Khullar, Shrey Shah, Gagandeep Singh, Joseph Bae, Rishabh Gattu, Shubham Jain, Jeremy Green, Thiruvengadam Anandarangam, Marc Cohen, Nikhil Madan, Prateek Prasanna

ORCID match Journal of Clinical Medicine · 2020 · Found in ORCID, OpenAlex, PubMed

DOI: 10.3390/jcm9124129

Choose for “Effects of Prone Ventilation on Oxygenation, Inflammation, and Lung Infiltrates in COVID-19 Related Acute Respiratory Distress Syndrome: A Retrospective Cohort Study”

Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores

Ruiwen Ding, Prateek Prasanna, Germán Corredor, Cheng Lu, Priya Velu, Khoi U. Le, Patrick Leo, Niha Beig, Vamsidhar Velcheti, David L. Rimm, Kurt A. Schalper, Anant Madabhushi

ORCID match · 2020 · Found in OpenAlex

DOI: 10.1117/12.2549588

Choose for “Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores”

Changes in CT radiomic features associated with lymphocyte distribution predict overall survival and response to immunotherapy in non–small cell lung cancer

Mohammadhadi Khorrami, Prateek Prasanna, Amit Gupta, Pradnya D. Patil, Priya Velu, Rajat Thawani, Germán Corredor, Mehdi Alilou, Kaustav Bera, Pingfu Fu, Michael D. Feldman, Vamsidhar Velcheti, Anant Madabhushi

ORCID match Cancer Immunology Research · 2020 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1158/2326-6066.cir-19-0476

Choose for “Changes in CT radiomic features associated with lymphocyte distribution predict overall survival and response to immunotherapy in non–small cell lung cancer”

Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study

Marwa Ismail, Virginia Hill, Volodymyr Statsevych, Evan Mason, Ramón Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Anant Madabhushi, Manmeet S. Ahluwalia, Pallavi Tiwari

ORCID match arXiv (Cornell University) · 2020 · Found in OpenAlex

DOI: 10.48550/arxiv.2006.09483

Choose for “Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study”

Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma?—A Feasibility Study

Marwa Ismail, Virginia Hill, Volodymyr Statsevych, Evan Mason, Ramón Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Manmeet S. Ahluwalia, Anant Madabhushi, Pallavi Tiwari

ORCID match Frontiers in Computational Neuroscience · 2020 · Found in ORCID, OpenAlex, PubMed

DOI: 10.3389/fncom.2020.563439

Choose for “Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma?—A Feasibility Study”

CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction.

Pranjal Vaidya, Kaustav Bera, Amit Gupta, Xiangxue Wang, Germán Corredor, Pingfu Fu, Niha Beig, Prateek Prasanna, Pradnya D Patil, Priya D Velu, Prabhakar Rajiah, Robert Gilkeson, Michael D Feldman, Humberto Choi, Vamsidhar Velcheti, Anant Madabhushi

ORCID match The Lancet. Digital health · 2020 · Found in PubMed

DOI: 10.1016/s2589-7500(20)30002-9

Choose for “CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction.”

CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction

Pranjal Vaidya, Kaustav Bera, Amit Gupta, Xiangxue Wang, Germán Corredor, Pingfu Fu, Niha Beig, Prateek Prasanna, Pradnya D. Patil, Priya Velu, Prabhakar Rajiah, Robert Gilkeson, Michael D. Feldman, Humberto Choi, Vamsidhar Velcheti, Anant Madabhushi

ORCID match The Lancet Digital Health · 2020 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1016/s2589-7500(20)30002-9

Choose for “CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction”

Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer

David Paredes, Prateek Prasanna, Christina Preece, Rajarsi Gupta, Farzad Fereidouni, Dimitris Samaras, Tahsin Kurç, Richard M. Levenson, Patricia Thompson-Carino, Joel Saltz, Chao Chen

ORCID match Lecture notes in computer science · 2020 · Found in ORCID, OpenAlex

DOI: 10.1007/978-3-030-66415-2_17

Choose for “Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer”

Abstract P1-10-06: Radiomic measurements of tumor-associated vasculature morphology and function on pretreatment dynamic MRI identifies responders to neoadjuvant chemotherapy

Nathaniel Braman, Prateek Prasanna, Kaustav Bera, Mehdi Alilou, Manasa Vulchi, Maryam Etesami, Paulette Turk, Jame Abraham, Donna Plecha, Anant Madabhushi

ORCID match Cancer Research · 2020 · Found in OpenAlex

DOI: 10.1158/1538-7445.sabcs19-p1-10-06

Choose for “Abstract P1-10-06: Radiomic measurements of tumor-associated vasculature morphology and function on pretreatment dynamic MRI identifies responders to neoadjuvant chemotherapy”

A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study

Cheng Lu, Kaustav Bera, Xiangxue Wang, Prateek Prasanna, Jun Xu, Andrew Janowczyk, Niha Beig, Michael Yang, Pingfu Fu, James S. Lewis, Humberto Choi, Ralph A. Schmid, Sabina Berezowska, Kurt A. Schalper, David L. Rimm, Vamsidhar Velcheti, Anant Madabhushi

ORCID match The Lancet Digital Health · 2020 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1016/s2589-7500(20)30225-9

Choose for “A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study”

A comparative study of experimental and adaptive neuro fuzzy inference system based prediction model of machined AM60 magnesium alloy and its parameter effects

S.P. Sundar Singh Sivam, Ganesh Babu Loganathan, N. Harshavardhana, Durai Kumaran, Prateek Prasanna

ORCID match Materials Today Proceedings · 2020 · Found in OpenAlex

DOI: 10.1016/j.matpr.2020.03.158

Choose for “A comparative study of experimental and adaptive neuro fuzzy inference system based prediction model of machined AM60 magnesium alloy and its parameter effects”

A combination of intra- and peri-tumoral deep features from prostate bi-parametric MRI can distinguish clinically significant and insignificant prostate cancer

Amogh Hiremath, Rakesh Shiradkar, Nathaniel Braman, Prateek Prasanna, Art Rastinehad, Andrei S. Purysko, Anant Madabhushi

ORCID match Progress in Biomedical Optics and Imaging - Proceedings of SPIE · 2020 · Found in ORCID, OpenAlex

DOI: 10.1117/12.2550963

Choose for “A combination of intra- and peri-tumoral deep features from prostate bi-parametric MRI can distinguish clinically significant and insignificant prostate cancer”

Spatial arrangement of leakage patterns in diabetic macular edema is associated with tolerance of aflibercept treatment interval length: Preliminary findings

Prateek Prasanna, Justis P. Ehlers, Vishal Bobba, Natalia Figueredo, Cheng Lu, Sumit Sharma, Sunil K. Srivastava, Anant Madabhushi

ORCID match Progress in Biomedical Optics and Imaging - Proceedings of SPIE · 2019 · Found in ORCID, OpenAlex

DOI: 10.1117/12.2513654

Choose for “Spatial arrangement of leakage patterns in diabetic macular edema is associated with tolerance of aflibercept treatment interval length: Preliminary findings”

Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways

Niha Beig, Virginia Hill, Ruchika Verma, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari, Prateek Prasanna

ORCID match Progress in Biomedical Optics and Imaging - Proceedings of SPIE · 2019 · Found in ORCID, OpenAlex

DOI: 10.1117/12.2512258

Choose for “Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways”

Predicting Tolerance to Extended Interval Dosing in Diabetic Macular Edema and Retinal Vein Occlusion via Subvisual Feature Assessment of Ultra-widefield Angiography: Preliminary Findings in the PERMEATE study

Azam Moosavi, Natália Figueiredo, Prateek Prasanna, Sunil K. Srivastava, Ming Hu, Sumit Sharma, Jamie Reese, Justis P. Ehlers, Anant Madabhushi

ORCID match Investigative Ophthalmology & Visual Science · 2019 · Found in OpenAlex

Choose for “Predicting Tolerance to Extended Interval Dosing in Diabetic Macular Edema and Retinal Vein Occlusion via Subvisual Feature Assessment of Ultra-widefield Angiography: Preliminary Findings in the PERMEATE study”

Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas

Niha Beig, Mohammadhadi Khorrami, Mehdi Alilou, Prateek Prasanna, Nathaniel Braman, Mahdi Orooji, Sagar Rakshit, Kaustav Bera, Prabhakar Rajiah, J Ginsberg, Christopher Donatelli, Rajat Thawani, Michael Yang, Frank J. Jacono, Pallavi Tiwari, Vamsidhar Velcheti, Robert Gilkeson, Philip A. Linden, Anant Madabhushi

ORCID match Radiology · 2019 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1148/radiol.2018180910

Choose for “Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas”

NIMG-75. RADIOMIC FEATURES LOCALIZED TO STEREOTACTIC BIOPSY LOCATIONS CAN CAPTURE EGFR PRESENCE IN GLIOBLASTOMA

Marwa Ismail, Ramón Correa, Kaustav Bera, Anas Saeed Bamashmos, Volodymyr Statsevych, Prateek Prasanna, Niha Beig, Anant Madabhushi, Manmeet S. Ahluwalia, Pallavi Tiwari

ORCID match Neuro-Oncology · 2019 · Found in OpenAlex

DOI: 10.1093/neuonc/noz175.744

Choose for “NIMG-75. RADIOMIC FEATURES LOCALIZED TO STEREOTACTIC BIOPSY LOCATIONS CAN CAPTURE EGFR PRESENCE IN GLIOBLASTOMA”

Morphology of vascular network in eyes with diabetic macular edema varies based on tolerance of aflibercept treatment interval length: Preliminary findings

Prateek Prasanna, Justis P. Ehlers, Nathaniel Braman, Natalia Figueredo, Vishal Bobba, Sumit Sharma, Sunil Srivastava, Anant Madabhushi

ORCID match Progress in Biomedical Optics and Imaging - Proceedings of SPIE · 2019 · Found in ORCID, OpenAlex

DOI: 10.1117/12.2513419

Choose for “Morphology of vascular network in eyes with diabetic macular edema varies based on tolerance of aflibercept treatment interval length: Preliminary findings”

Mass Effect Deformation Heterogeneity (MEDH) on Gadolinium-contrast T1-weighted MRI is associated with decreased survival in patients with right cerebral hemisphere Glioblastoma: A feasibility study

Prateek Prasanna, Jhimli Mitra, Niha Beig, Ameya Nayate, Jay Patel, Soumya Ghose, Rajat Thawani, Sasan Partovi, Anant Madabhushi, Pallavi Tiwari

ORCID match Scientific Reports · 2019 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1038/s41598-018-37615-2

Choose for “Mass Effect Deformation Heterogeneity (MEDH) on Gadolinium-contrast T1-weighted MRI is associated with decreased survival in patients with right cerebral hemisphere Glioblastoma: A feasibility study”

Intra and perinodular CT delta radiomic features associated with early response to predict overall survival (OS) in immunotherapy-treated non-small cell lung cancer (NSCLC): A multisite multi-agent study.

Prateek Prasanna, Mohammadhadi Khorrami, Amit Gupta, Pradnya D. Patil, Monica Khunger, Priya Velu, Kaustav Bera, Mehdi Alilou, Vamsidhar Velcheti, Anant Madabhushi

ORCID match Journal of Clinical Oncology · 2019 · Found in OpenAlex

DOI: 10.1200/jco.2019.37.15_suppl.2588

Choose for “Intra and perinodular CT delta radiomic features associated with early response to predict overall survival (OS) in immunotherapy-treated non-small cell lung cancer (NSCLC): A multisite multi-agent study.”

Disorder in pixel-level edge directions on T1Wi is associated with the degree of radiation necrosis in primary and metastatic brain tumors: Preliminary findings

Prateek Prasanna, Lisa R. Rogers, Tai‐Chung Lam, Mark L. Cohen, Archana Siddalingappa, Leo Wolansky, Marco C. Pinho, Amit Gupta, Kimmo J. Hatanpaa, Anant Madabhushi, Pallavi Tiwari

ORCID match American Journal of Neuroradiology · 2019 · Found in ORCID, OpenAlex, PubMed

DOI: 10.3174/ajnr.a5958

Choose for “Disorder in pixel-level edge directions on T1Wi is associated with the degree of radiation necrosis in primary and metastatic brain tumors: Preliminary findings”

Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI

Sukanya Raj Iyer, Marwa Ismail, Benita Tamrazi, Ashley Margol, Ruchika Verma, Ramón Correa, Prateek Prasanna, Niha Beig, Kaustav Bera, Volodymyr Statsevych, Alexander R. Judkins, Anant Madabhushi, Pallavi Tiwari

ORCID match Progress in Biomedical Optics and Imaging - Proceedings of SPIE · 2019 · Found in ORCID, OpenAlex

DOI: 10.1117/12.2513567

Choose for “Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI”

Author Correction: Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas (Scientific Reports, (2018), 8, 1, (15290), 10.1038/s41598-018-33473-0)

Mehdi Alilou, Mahdi Orooji, Niha Beig, Prateek Prasanna, Prabhakar Rajiah, Christopher Donatelli, Vamsidhar Velcheti, Sagar Rakshit, Michael Yang, Frank J. Jacono, Robert Gilkeson, Philip A. Linden, Anant Madabhushi

ORCID match Scientific Reports · 2019 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1038/s41598-019-52008-9

Choose for “Author Correction: Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas (Scientific Reports, (2018), 8, 1, (15290), 10.1038/s41598-018-33473-0)”

Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2)-Positive Breast Cancer

Nathaniel Braman, Prateek Prasanna, Jon Whitney, Salendra Singh, Niha Beig, Maryam Etesami, ‬David D. B. Bates, Katherine Gallagher, B Bloch, Manasa Vulchi, Paulette Turk, Kaustav Bera, Jame Abraham, William M. Sikov, George Somlo, Lyndsay N. Harris, Hannah Gilmore, Donna Plecha, Vinay Varadan, Anant Madabhushi

ORCID match JAMA network open · 2019 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1001/jamanetworkopen.2019.2561

Choose for “Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2)-Positive Breast Cancer”

A combination of intra-and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint inhibitors: A multi-agent multi-site study

Pradnya D. Patil, Kaustav Bera, Pirya Velu, Mohammadhadi Khorrami, Prateek Prasanna, Vamsidhar Velcheti, Anant Madabhushi, Mehdi Alilou, Pingfu Fu

ORCID match Progress in Biomedical Optics and Imaging - Proceedings of SPIE · 2019 · Found in ORCID, OpenAlex

DOI: 10.1117/12.2513001

Choose for “A combination of intra-and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint inhibitors: A multi-agent multi-site study”

Vascular network organization via hough transform (VaNgOGH): A novel radiomic biomarker for diagnosis and treatment response

Nathaniel Braman, Prateek Prasanna, Mehdi Alilou, Niha Beig, Anant Madabhushi

ORCID match Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 2018 · Found in ORCID, OpenAlex

DOI: 10.1007/978-3-030-00934-2_89

Choose for “Vascular network organization via hough transform (VaNgOGH): A novel radiomic biomarker for diagnosis and treatment response”

Shape features of the lesion habitat to differentiate brain tumor progression from pseudoprogression on routine multiparametric MRI: A multisite study

Marwa Ismail, Virginia Hill, Volodymyr Statsevych, Raymond Y. Huang, Prateek Prasanna, Ramón Correa, Gagandeep Singh, Kaustav Bera, Niha Beig, Rajat Thawani, Anant Madabhushi, M. Aahluwalia, Pallavi Tiwari

ORCID match American Journal of Neuroradiology · 2018 · Found in ORCID, OpenAlex, PubMed

DOI: 10.3174/ajnr.a5858

Choose for “Shape features of the lesion habitat to differentiate brain tumor progression from pseudoprogression on routine multiparametric MRI: A multisite study”

Radiomics and radiogenomics in lung cancer: A review for the clinician

Rajat Thawani, Michael J. McLane, Niha Beig, Soumya Ghose, Prateek Prasanna, Vamsidhar Velcheti, Anant Madabhushi

ORCID match Lung Cancer · 2018 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1016/j.lungcan.2017.10.015

Choose for “Radiomics and radiogenomics in lung cancer: A review for the clinician”

Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma

Niha Beig, Jay Patel, Prateek Prasanna, Virginia Hill, Amit Gupta, Ramón Correa, Kaustav Bera, Salendra Singh, Sasan Partovi, Vinay Varadan, Manmeet S. Ahluwalia, Anant Madabhushi, Pallavi Tiwari

ORCID match Scientific Reports · 2018 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1038/s41598-017-18310-0

Choose for “Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma”

Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas

Mehdi Alilou, Mahdi Orooji, Niha Beig, Prateek Prasanna, Prabhakar Rajiah, Christopher Donatelli, Vamsidhar Velcheti, Sagar Rakshit, Michael Yang, Frank J. Jacono, Robert Gilkeson, Philip A. Linden, Anant Madabhushi

ORCID match Scientific Reports · 2018 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1038/s41598-018-33473-0

Choose for “Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas”

P1.13-34 Changes in Radiomic Features Between Baseline and Two Weeks Post-Nivolumab Treatment Are Predictive of Pathologic Complete Response

Mohammadhadi Khorrami, Prateek Prasanna, G. Corredor-Prada, Vamsidhar Velcheti, Anant Madabhushi, Kaustav Bera

ORCID match Journal of Thoracic Oncology · 2018 · Found in OpenAlex

DOI: 10.1016/j.jtho.2018.08.891

Choose for “P1.13-34 Changes in Radiomic Features Between Baseline and Two Weeks Post-Nivolumab Treatment Are Predictive of Pathologic Complete Response”

NIMG-27. RADIOGENOMIC ANALYSIS OF GLIOBLASTOMA REVEALS TEXTURAL FEATURES FROM MRI THAT CORRELATE WITH GENOMIC IMMUNE SCORE AND ARE ALSO PREDICTIVE OF CHEMO-RADIATION TREATMENT RESPONSE

Niha Beig, Nathaniel Braman, Prateek Prasanna, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari

ORCID match Neuro-Oncology · 2018 · Found in OpenAlex

DOI: 10.1093/neuonc/noy148.753

Choose for “NIMG-27. RADIOGENOMIC ANALYSIS OF GLIOBLASTOMA REVEALS TEXTURAL FEATURES FROM MRI THAT CORRELATE WITH GENOMIC IMMUNE SCORE AND ARE ALSO PREDICTIVE OF CHEMO-RADIATION TREATMENT RESPONSE”

NIMG-26. RADIOMIC FEATURES OF GLIOBLASTOMA ON PRE-TREATMENT GD-T1W MRI ARE PREDICTIVE OF RESPONSE TO CHEMO-RADIATION THERAPY AND ASSOCIATED WITH AKT AND APOPTOSIS PATHWAYS

Niha Beig, Prateek Prasanna, Ruchika Verma, Virginia Hill, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari

ORCID match Neuro-Oncology · 2018 · Found in OpenAlex

DOI: 10.1093/neuonc/noy148.752

Choose for “NIMG-26. RADIOMIC FEATURES OF GLIOBLASTOMA ON PRE-TREATMENT GD-T1W MRI ARE PREDICTIVE OF RESPONSE TO CHEMO-RADIATION THERAPY AND ASSOCIATED WITH AKT AND APOPTOSIS PATHWAYS”

NCMP-01. COMPARISON AND QUANTITATION OF HISTOPATHOLOGY ABNORMALITIES IN SURGICALLY RESECTED CEREBRAL RADIATION NECROSIS AS COMPARED WITH RECURRENT BRAIN TUMOR FOLLOWING RADIATION

Lisa R. Rogers, Curt Tatsuoka, Mitchell Machtay, Chaitra Badve, Pallavi Tiwari, Prateek Prasanna, Andrew E. Sloan, Warren R. Selman, Mark L. Cohen

ORCID match Neuro-Oncology · 2018 · Found in OpenAlex

DOI: 10.1093/neuonc/noy148.803

Choose for “NCMP-01. COMPARISON AND QUANTITATION OF HISTOPATHOLOGY ABNORMALITIES IN SURGICALLY RESECTED CEREBRAL RADIATION NECROSIS AS COMPARED WITH RECURRENT BRAIN TUMOR FOLLOWING RADIATION”

Feature driven local cell graph (FeDeG): Predicting overall survival in early stage lung cancer

Cheng Lu, Xiangxue Wang, Prateek Prasanna, Germán Corredor, Geoffrey Sedor, Kaustav Bera, Vamsidhar Velcheti, Anant Madabhushi

ORCID match Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 2018 · Found in ORCID, OpenAlex

DOI: 10.1007/978-3-030-00934-2_46

Choose for “Feature driven local cell graph (FeDeG): Predicting overall survival in early stage lung cancer”

Correlation of radiomic features with PD-L1 expression in early stage non-small cell lung cancer (ES-NSCLC) to predict recurrence and overall survival (OS).

Pradnya D. Patil, Kaustav Bera, Pranjal Vaidya, Prateek Prasanna, Monica Khunger, Arjun Khunger, Vamsidhar Velcheti, Anant Madabhushi

ORCID match Journal of Clinical Oncology · 2018 · Found in OpenAlex

DOI: 10.1200/jco.2018.36.15_suppl.e24247

Choose for “Correlation of radiomic features with PD-L1 expression in early stage non-small cell lung cancer (ES-NSCLC) to predict recurrence and overall survival (OS).”

Computer-extracted features relating to spatial arrangement of tumor infiltrating lymphocytes to predict response to nivolumab in non-small cell lung cancer (NSCLC).

Cristian Barrera, Priya Velu, Kaustav Bera, Xiangxue Wang, Prateek Prasanna, Monica Khunger, Arjun Khunger, Vamsidhar Velcheti, Eduardo Romero, Anant Madabhushi

ORCID match Journal of Clinical Oncology · 2018 · Found in OpenAlex

DOI: 10.1200/jco.2018.36.15_suppl.12115

Choose for “Computer-extracted features relating to spatial arrangement of tumor infiltrating lymphocytes to predict response to nivolumab in non-small cell lung cancer (NSCLC).”

Computer extracted features of cancer nuclei from H&E stained tissues of tumor predicts response to nivolumab in non-small cell lung cancer.

Xiangxue Wang, Cristian Barrera, Priya Velu, Kaustav Bera, Prateek Prasanna, Monica Khunger, Arjun Khunger, Vamsidhar Velcheti, Anant Madabhushi

ORCID match Journal of Clinical Oncology · 2018 · Found in OpenAlex

DOI: 10.1200/jco.2018.36.15_suppl.12061

Choose for “Computer extracted features of cancer nuclei from H&E stained tissues of tumor predicts response to nivolumab in non-small cell lung cancer.”

Abstract P4-02-07: Radiogenomic analysis of HER2+ breast cancer reveals MRI features correlated with genomic immune index are predictive of neoadjuvant chemotherapy response

Nathaniel Braman, Prateek Prasanna, Salendra Singh, Niha Beig, H Gilmore, Maryam Etesami, ‬David D. B. Bates, Kristalyn K. Gallagher, Bloch Bn, George Somlo, William M. Sikov, Lyndsay Harris, Donna Plecha, Vinay Varadan, A Madabhushi

ORCID match Cancer Research · 2018 · Found in OpenAlex

DOI: 10.1158/1538-7445.sabcs17-p4-02-07

Choose for “Abstract P4-02-07: Radiogenomic analysis of HER2+ breast cancer reveals MRI features correlated with genomic immune index are predictive of neoadjuvant chemotherapy response”

Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings

Prateek Prasanna, Jay Patel, Sasan Partovi, Anant Madabhushi, Pallavi Tiwari

ORCID match European Radiology · 2017 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1007/s00330-016-4637-3

Choose for “Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings”

Radiographic-deformation and textural heterogeneity (r-DepTH): An integrated descriptor for brain tumor prognosis

Prateek Prasanna, Jhimli Mitra, Niha Beig, Sasan Partovi, Gagandeep Singh, Marco C. Pinho, Anant Madabhushi, Pallavi Tiwari

ORCID match Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 2017 · Found in ORCID, OpenAlex

DOI: 10.1007/978-3-319-66185-8_52

Choose for “Radiographic-deformation and textural heterogeneity (r-DepTH): An integrated descriptor for brain tumor prognosis”

Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma

Niha Beig, Jay Patel, Prateek Prasanna, Sasan Partovi, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari

ORCID match Progress in Biomedical Optics and Imaging - Proceedings of SPIE · 2017 · Found in ORCID, OpenAlex

DOI: 10.1117/12.2255694

Choose for “Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma”

RADIomic spatial textural descriptor (RADISTAT): Characterizing intra-tumoral heterogeneity for response and outcome prediction

Jacob Antunes, Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, Satish E. Viswanath

ORCID match Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 2017 · Found in ORCID, OpenAlex

DOI: 10.1007/978-3-319-66185-8_53

Choose for “RADIomic spatial textural descriptor (RADISTAT): Characterizing intra-tumoral heterogeneity for response and outcome prediction”

NIMG-80. SHAPE ATTRIBUTES OF ENHANCING LESION BOUNDARIES CAN DIFFERENTIATE TUMOR RECURRENCE FROM PSEUDO-PROGRESSION ON ROUTINE BRAIN MRI SCANS: PRELIMINARY FINDINGS

Marwa Isamail, Prateek Prasanna, Raymond Huang, Gagandeep Singh, Rajat Thawani, Anant Madabhushi, Manmeet S. Ahluwalia, Pallavi Tiwari

ORCID match Neuro-Oncology · 2017 · Found in OpenAlex

DOI: 10.1093/neuonc/nox168.651

Choose for “NIMG-80. SHAPE ATTRIBUTES OF ENHANCING LESION BOUNDARIES CAN DIFFERENTIATE TUMOR RECURRENCE FROM PSEUDO-PROGRESSION ON ROUTINE BRAIN MRI SCANS: PRELIMINARY FINDINGS”

NIMG-17. STRUCTURAL DEFORMATION FIELD ON T1W MRI IN HEALTHY BRAIN PARENCHYMA IS ASSOCIATED WITH OVERALL SURVIVAL IN TREATMENT-NAÏVE GLIOBLASTOMA MULTIFORME

Prateek Prasanna, Jhimli Mitra, Niha Beig, Sasan Partovi, Gagandeep Singh, Marco C. Pinho, Anant Madabhushi, Pallavi Tiwari

ORCID match Neuro-Oncology · 2017 · Found in OpenAlex

DOI: 10.1093/neuonc/nox168.595

Choose for “NIMG-17. STRUCTURAL DEFORMATION FIELD ON T1W MRI IN HEALTHY BRAIN PARENCHYMA IS ASSOCIATED WITH OVERALL SURVIVAL IN TREATMENT-NAÏVE GLIOBLASTOMA MULTIFORME”

MEDU-48. MRI TEXTURAL FEATURES CAN DIFFERENTIATE PEDIATRIC POSTERIOR FOSSA TUMORS

Niha Beig, Ramón Correa, Rajat Thawani, Prateek Prasanna, Chaitra Badve, Deborah Rukin Gold, Anant Madabhushi, Peter de Blank, Pallavi Tiwari

ORCID match Neuro-Oncology · 2017 · Found in OpenAlex

DOI: 10.1093/neuonc/nox083.197

Choose for “MEDU-48. MRI TEXTURAL FEATURES CAN DIFFERENTIATE PEDIATRIC POSTERIOR FOSSA TUMORS”

Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI

Nathaniel Braman, Maryam Etesami, Prateek Prasanna, Christina Dubchuk, Hannah Gilmore, Pallavi Tiwari, Donna Plecha, Anant Madabhushi

ORCID match Breast Cancer Research · 2017 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1186/s13058-017-0846-1

Choose for “Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI”

Erratum: Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI. [Breast Cancer Res. 19, (2017) (57)] DOI: 10.1186/s13058-017-0846-1

Nathaniel Braman, Maryam Etesami, Prateek Prasanna, Christina Dubchuk, Hannah Gilmore, Pallavi Tiwari, Donna Plecha, Anant Madabhushi

ORCID match Breast Cancer Research · 2017 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1186/s13058-017-0862-1

Choose for “Erratum: Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI. [Breast Cancer Res. 19, (2017) (57)] DOI: 10.1186/s13058-017-0846-1”

Erratum to: Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings (Eur Radiol, 10.1007/s00330-016-4637-3)

Prateek Prasanna, Jay Patel, Sasan Partovi, Anant Madabhushi, Pallavi Tiwari

ORCID match European Radiology · 2017 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1007/s00330-017-4815-y

Choose for “Erratum to: Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings (Eur Radiol, 10.1007/s00330-016-4637-3)”

NIMG-75. FEATURES OF LOCAL GRADIENT DISORDER ON MRI THAT DISTINGUISH RADIATION NECROSIS AND TUMOR RECURRENCE POST-RADIOTHERAPY ARE ASSOCIATED WITH ZONAL NECROSIS, VESSEL WALL THICKENING, HYALINIZATION AND DEMYELINATION: A PRELIMINARY STUDY IN BRAIN TUMORS

Prateek Prasanna, Lisa R. Rogers, Mark L. Cohen, Gagandeep Singh, Chaitra Badve, Leo Wolansky, Anant Madabhushi, Pallavi Tiwari

ORCID match Neuro-Oncology · 2016 · Found in OpenAlex

DOI: 10.1093/neuonc/now212.586

Choose for “NIMG-75. FEATURES OF LOCAL GRADIENT DISORDER ON MRI THAT DISTINGUISH RADIATION NECROSIS AND TUMOR RECURRENCE POST-RADIOTHERAPY ARE ASSOCIATED WITH ZONAL NECROSIS, VESSEL WALL THICKENING, HYALINIZATION AND DEMYELINATION: A PRELIMINARY STUDY IN BRAIN TUMORS”

NIMG-69. DISTINGUISHING RADIATION NECROSIS FROM BRAIN TUMOR RECURRENCE ON ROUTINE MRI: A PRELIMINARY HUMAN-MACHINE READER COMPARISON STUDY

Prateek Prasanna, Ameya Nayate, Amit Gupta, Lisa R. Rogers, Gagandeep Singh, Leo Wolansky, Marco C. Pinho, Kimmo J. Hatanpaa, Anant Madabhushi, Pallavi Tiwari

ORCID match Neuro-Oncology · 2016 · Found in OpenAlex

DOI: 10.1093/neuonc/now212.580

Choose for “NIMG-69. DISTINGUISHING RADIATION NECROSIS FROM BRAIN TUMOR RECURRENCE ON ROUTINE MRI: A PRELIMINARY HUMAN-MACHINE READER COMPARISON STUDY”

Computer-extracted texture features to distinguish cerebral radionecrosis from recurrent brain tumors on multiparametric mri: A feasibility study

Pallavi Tiwari, Prateek Prasanna, Leo Wolansky, Marco C. Pinho, Mark L. Cohen, Ameya Nayate, Amit Gupta, Gagandeep Singh, Kimmo J. Hatanpaa, Andrew E. Sloan, Lisa R. Rogers, Anant Madabhushi

ORCID match American Journal of Neuroradiology · 2016 · Found in ORCID, OpenAlex, PubMed

DOI: 10.3174/ajnr.a4931

Choose for “Computer-extracted texture features to distinguish cerebral radionecrosis from recurrent brain tumors on multiparametric mri: A feasibility study”

Automated Crack Detection on Concrete Bridges

Prateek Prasanna, Kristin Dana, Nenad Gucunski, Basily B. Basily, Hung Manh La, Ronny Salim Lim, Hooman Parvardeh

ORCID match IEEE Transactions on Automation Science and Engineering · 2016 · Found in ORCID, OpenAlex

DOI: 10.1109/tase.2014.2354314

Choose for “Automated Crack Detection on Concrete Bridges”

TSEB: More Efficient Thompson Sampling for Policy Learning

Prateek Prasanna, Sarath Chandar, Balaraman Ravindran

ORCID match arXiv (Cornell University) · 2015 · Found in OpenAlex

DOI: 10.48550/arxiv.1510.02874

Choose for “TSEB: More Efficient Thompson Sampling for Policy Learning”

NIMG-67COMPUTER EXTRACTED TEXTURE DESCRIPTORS FROM DIFFERENT TISSUE COMPARTMENTS WITHIN THE TUMOR HABITAT ON TREATMENT-NAÏVE MRI PREDICT CLINICAL SURVIVAL IN GLIOBLASTOMA PATIENTS

Pallavi Tiwari, Jay Patel, Sasan Partovi, Prateek Prasanna, Anant Madabhushi

ORCID match Neuro-Oncology · 2015 · Found in OpenAlex

DOI: 10.1093/neuonc/nov225.67

Choose for “NIMG-67COMPUTER EXTRACTED TEXTURE DESCRIPTORS FROM DIFFERENT TISSUE COMPARTMENTS WITHIN THE TUMOR HABITAT ON TREATMENT-NAÏVE MRI PREDICT CLINICAL SURVIVAL IN GLIOBLASTOMA PATIENTS”

MP60-04 QUANTITATIVE ASSESSMENT OF T2-WEIGHTED MRI TO BETTER IDENTIFY PATIENTS WITH PROSTATE CANCER IN A SCREENING POPULATION

Ahmad Algohary, Satish E. Viswanath, Prateek Prasanna, Shivani Pahwa, Vikas Gulani, Daniel Moses, R Shnier, Maret Böhm, Anne‐Maree Haynes, Phillip Brenner, Warick Delprado, James Thompson, Marley Pulbrock, Phillip D. Stricker, Lee Ponsky, Anant Madabhushi

ORCID match The Journal of Urology · 2015 · Found in OpenAlex

DOI: 10.1016/j.juro.2015.02.2206

Choose for “MP60-04 QUANTITATIVE ASSESSMENT OF T2-WEIGHTED MRI TO BETTER IDENTIFY PATIENTS WITH PROSTATE CANCER IN A SCREENING POPULATION”

ATPS-67MORPHOLOGIC HETEROGENEITY AT A PIXEL-LEVEL CAPTURED VIA ENTROPY OF GRADIENT ORIENTATIONS ON T1-POST CONTRAST MRI ENABLES DISCRIMINATION OF TUMOR RECURRENCE FROM CEREBRAL RADIATION NECROSIS

Prateek Prasanna, Archana Siddalingappa, Leo Wolansky, Lisa R. Rogers, Tai‐Chung Lam, Victoria To, Anant Madabhushi, Pallavi Tiwari

ORCID match Neuro-Oncology · 2015 · Found in OpenAlex

DOI: 10.1093/neuonc/nov204.67

Choose for “ATPS-67MORPHOLOGIC HETEROGENEITY AT A PIXEL-LEVEL CAPTURED VIA ENTROPY OF GRADIENT ORIENTATIONS ON T1-POST CONTRAST MRI ENABLES DISCRIMINATION OF TUMOR RECURRENCE FROM CEREBRAL RADIATION NECROSIS”

Texture descriptors to distinguish radiation necrosis from recurrent brain tumors on multi-parametric MRI

Pallavi Tiwari, Prateek Prasanna, Lisa R. Rogers, Leo Wolansky, Chaitra Badve, Andrew E. Sloan, Mark L. Cohen, Anant Madabhushi

ORCID match Progress in Biomedical Optics and Imaging - Proceedings of SPIE · 2014 · Found in ORCID, OpenAlex

DOI: 10.1117/12.2043969

Choose for “Texture descriptors to distinguish radiation necrosis from recurrent brain tumors on multi-parametric MRI”

NI-75 * QUANTITATIVE TEXTURE DESCRIPTORS ON BASELINE-MRI CAN PREDICT PATIENT SURVIVAL IN NEWLY DIAGNOSED GLIOBLASTOMA MULTIFORME PATIENTS

Pallavi Tiwari, Prateek Prasanna, Boxiang Jiang, Jill S. Barnholtz‐Sloan, Andrew E. Sloan, Quinn T. Ostrom, Anant Madabhushi

ORCID match Neuro-Oncology · 2014 · Found in OpenAlex

DOI: 10.1093/neuonc/nou264.73

Choose for “NI-75 * QUANTITATIVE TEXTURE DESCRIPTORS ON BASELINE-MRI CAN PREDICT PATIENT SURVIVAL IN NEWLY DIAGNOSED GLIOBLASTOMA MULTIFORME PATIENTS”

Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing tumor confounders and molecular subtypes on MRI

Prateek Prasanna, Pallavi Tiwari, Anant Madabhushi

ORCID match Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 2014 · Found in ORCID, OpenAlex, PubMed

DOI: 10.1007/978-3-319-10443-0_10

Choose for “Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing tumor confounders and molecular subtypes on MRI”

The Prognostic Utility of Log Odds Ratios in Non-Small Cell Lung Cancer (NSCLC)

Danielle M. Thesier, Adrienne Groman, Prateek Prasanna, M. Hennon, Elisabeth U. Dexter, Anthony Picone, Todd L. Demmy, Chukwumere Nwogu, Sai Yendamuri

ORCID match Journal of Surgical Research · 2013 · Found in OpenAlex

DOI: 10.1016/j.jss.2012.10.071

Choose for “The Prognostic Utility of Log Odds Ratios in Non-Small Cell Lung Cancer (NSCLC)”

Retinopathy Using Smartphones

Prateek Prasanna, Shubham Jain, Neelakshi Bhagatt, Anant Madabhushi

ORCID match · 2013 · Found in OpenAlex

Choose for “Retinopathy Using Smartphones”

Decision support system for detection of diabetic retinopathy using smartphones

Prateek Prasanna, Shubham Jain, Neelakshi Bhagat, Anant Madabhushi

ORCID match Proceedings of the 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2013 · 2013 · Found in ORCID, OpenAlex

DOI: 10.4108/icst.pervasivehealth.2013.252093

Choose for “Decision support system for detection of diabetic retinopathy using smartphones”

Decision Support System for Detection of Diabetic Retinopathy Using Smartphones

Prateek Prasanna, Shubham Jain, Neelakshi Bhagat, Anant Madabhushi

ORCID match Proceedings of the ICTs for improving Patients Rehabilitation Research Techniques · 2013 · Found in OpenAlex

DOI: 10.4108/pervasivehealth.2013.252093

Choose for “Decision Support System for Detection of Diabetic Retinopathy Using Smartphones”

Computer vision based crack detection and analysis

Prateek Prasanna, Kristin Dana, Nenad Gucunski, Basily Basily

ORCID match Proceedings of SPIE - The International Society for Optical Engineering · 2012 · Found in ORCID, OpenAlex

DOI: 10.1117/12.915384

Choose for “Computer vision based crack detection and analysis”
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