STONY BROOK MEDICINE

Department of Biomedical Informatics

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FACULTY PROFILE · REVIEW PREVIEW

Rajarsi Gupta

Department of Biomedical Informatics

Publications

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Measuring and predicting where and when pathologists focus their visual attention while grading whole slide images of cancer.

Souradeep Chakraborty, Ruoyu Xue, Rajarsi Gupta, Oksana Yaskiv, Constantin Friedman, Natallia Sheuka, Dana Perez, Paul G. Friedman, Won‐Tak Choi, Waqas Mahmud, Beatrice S. Knudsen, Gregory J. Zelinsky, Joel Saltz, Dimitris Samaras

ORCID match Medical image analysis · 2026 · Found in OpenAlex

DOI: 10.1016/j.media.2025.103752

Choose for “Measuring and predicting where and when pathologists focus their visual attention while grading whole slide images of cancer.”

Label-Efficient Deep Color Deconvolution of Brightfield Multiplex IHC Images

Shahira Abousamra, Danielle Fassler, Rajarsi Gupta, Tahsin Kurç, Luisa F. Escobar‐Hoyos, Dimitris Samaras, Kenneth R. Shroyer, Joel Saltz, Chao Chen

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

DOI: 10.1109/tmi.2025.3609245

Choose for “Label-Efficient Deep Color Deconvolution of Brightfield Multiplex IHC Images”

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”

Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

Alexandre Momeni, Qian Wang, Avinash Kori, Mahendra Khened, Tianhao Zhao, Keyvan Farahani, Rajarsi Gupta, Qi Qi, Yunlong Zhang, Spyridon Bakas, Joel Saltz, Yue Huang, Lichi Zhang, Aditya Bagari, Xinghao Ding, Ganapathy Krishnamurthi, Tahsin Kurç, Dinggang Shen, Xuhua Ren, Jayashree Kalpathy–Cramer, James Davis, Olivier Gevaert, Ashish Kumar, Marc Thibault

ORCID match Carolina Digital Repository (University of North Carolina at Chapel Hill) · 2025 · Found in OpenAlex

DOI: 10.17615/k55d-nq81

Choose for “Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches”

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

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

Pathomics Image Analysis of Tumor Infiltrating Lymphocytes (TILs) in Colon Cancer

Yuwei Zhang, Shahira Abousamra, Mahmudul Hasan, Luke A. Torre-Healy, Spencer Krichevsky, Sampurna Shrestha, Erich Bremer, Derek A. Oldridge, Andrew J. Rech, Emma E. Furth, Thèrése Bocklage, Justin S. Levens, Isaac Hands, Eric B. Durbin, Dimitris Samaras, Tahsin Kurç, Joel Saltz, Rajarsi Gupta

ORCID match Research Square · 2025 · Found in OpenAlex

DOI: 10.21203/rs.3.rs-6173056/v1

Choose for “Pathomics Image Analysis of Tumor Infiltrating Lymphocytes (TILs) in Colon Cancer”

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer

Souradeep Chakraborty, Ruoyu Xue, Rajarsi Gupta, Oksana Yaskiv, Constantin Friedman, Natallia Sheuka, Dana Perez, Paul G. Friedman, Won‐Tak Choi, Waqas Mahmud, Beatrice S. Knudsen, Gregory J. Zelinsky, Joel Saltz, Dimitris Samaras

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

DOI: 10.48550/arxiv.2508.01668

Choose for “Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer”

IBCL-618: Perspective on Marginal Zone Lymphoma in India

Ajay Gogia, Ashutosh Sharma, Rajarsi Gupta, H. C. Pant, A. Biswas, Supriya Mallick, Hari Krishna Raju Sagiraju

ORCID match Clinical Lymphoma Myeloma & Leukemia · 2025 · Found in OpenAlex

DOI: 10.1016/s2152-2650(25)02422-x

Choose for “IBCL-618: Perspective on Marginal Zone Lymphoma in India”

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”

Early Detection of Prostate Cancer Immune Response to Radiation and Androgen Deprivation Therapy: Unleashing the Power of HRS Mpmri Imaging, Molecular Biomarkers and Digital Pathology

Sandra M. Gaston, Radka Stoyanova, Oleksandr N. Kryvenko, Matthew C. Abramowitz, Adrian Breto, Everaldo Jerez Hernández, V.T. Clonch, Christopher P. Anderson, A. Galvez, Adam C. Bartley, L. Salcedo, Joel Saltz, Yuesheng Zhang, Rajarsi Gupta, Tahsin Kurç, Brandon Mahal, A. Dal Pra, I Mihaylov, Andrew Pollack, B. Spieler

ORCID match International Journal of Radiation Oncology*Biology*Physics · 2025 · Found in OpenAlex

DOI: 10.1016/j.ijrobp.2025.06.2880

Choose for “Early Detection of Prostate Cancer Immune Response to Radiation and Androgen Deprivation Therapy: Unleashing the Power of HRS Mpmri Imaging, Molecular Biomarkers and Digital Pathology”

Abstract 5315: Mapping tumor infiltrating lymphocytes in whole prostatectomy specimens to visualize and quantify the immune microenvironment of prostate cancer

Yuwei Zhang, Rajarsi Gupta, Joel Saltz, Tahsin Kurç, Jakub Kaczmarzyk, Erich Bremer, Veronica Wallaengen, Amanda Gálvez Mariscal, Abigail Bartley, Leonard Salcedo, A. Pollack, Sanoj Punnen, Oleksandr N. Kryvenko, Radka Stoyanova, Sandra M. Gaston

ORCID match Cancer Research · 2025 · Found in OpenAlex

DOI: 10.1158/1538-7445.am2025-5315

Choose for “Abstract 5315: Mapping tumor infiltrating lymphocytes in whole prostatectomy specimens to visualize and quantify the immune microenvironment of prostate cancer”

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”

Uncertainty Estimation for Tumor Prediction with Unlabeled Data

Ju‐Young Yun, Shahira Abousamra, Li Chen, Rajarsi Gupta, Tahsin Kurç, Dimitris Samaras, Alison L. Van Dyke, Joel Saltz, Chao Chen

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

DOI: 10.1109/cvprw63382.2024.00688

Choose for “Uncertainty Estimation for Tumor Prediction with Unlabeled Data”

Training pathologists to assess stromal tumour‐infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research

Amy Ly, Víctor García, Kim Blenman, Anna Ehinger, Katherine Elfer, Matthew G. Hanna, Xiaoxian Li, Dieter Peeters, Ryan Birmingham, Sarah Dudgeon, Emma Gardecki, Rajarsi Gupta, Jochen K. Lennerz, Tony Pan, Joel Saltz, Keith A. Wharton, Daniel Ehinger, Balázs Ács, Elisabeth Dequeker, Roberto Salgado, Brandon D. Gallas

ORCID match Histopathology · 2024 · Found in OpenAlex

DOI: 10.1111/his.15140

Choose for “Training pathologists to assess stromal tumour‐infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research”

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

DOI: 10.1109/cvpr52733.2024.01067

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

Pan-Cancer Tumor Infiltrating Lymphocyte Detection based on Federated Learning

Ujjwal Baid, Sarthak Pati, Tahsin Kurç, Rajarsi Gupta, Erich Bremer, Shahira Abousamra, Siddhesh Thakur, Joel Saltz, Spyridon Bakas

ORCID match · 2024 · Found in OpenAlex

DOI: 10.1109/bigdata62323.2024.10825083

Choose for “Pan-Cancer Tumor Infiltrating Lymphocyte Detection based on Federated Learning”

Open and reusable deep learning for pathology with WSInfer and QuPath

Jakub Kaczmarzyk, Alan O’Callaghan, Fiona Inglis, Swarad Gat, Tahsin Kurç, Rajarsi Gupta, Erich Bremer, Peter Bankhead, Joel Saltz

ORCID match npj Precision Oncology · 2024 · Found in OpenAlex

DOI: 10.1038/s41698-024-00499-9

Choose for “Open and reusable deep learning for pathology with WSInfer and QuPath”

Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer.

Chowdhury Arif Jahangir, David B. Page, Glenn Broeckx, Claudia Aura Gonzalez, Caoimbhe Burke, Clodagh Murphy, Jorge S. Reis‐Filho, Amy Ly, Paul W. Harms, Rajarsi Gupta, Michael Vieth, Akira I. Hida, Mohamed M. Kahila, Zuzana Kos, P. J. van Diest, Sara Verbandt, Jeppe Thagaard, Reena Khiroya, Khalid AbdulJabbar, Gabriela Acosta Haab, Balázs Ács, Sylvia Adams, Jonas S. Almeida, Isabel Alvarado‐Cabrero, Farid Azmoudeh Ardalan, Sunil Badve, Nurkhairul Bariyah Baharun, Enrique Bellolio, Vydehi Bheemaraju, Kim RM Blenman, Luciana Botinelly Mendonça Fujimoto, Octavio Burgues, Alexandros Hardas, Maggie C.U. Cheang, Francesco Ciompi, Lee Cooper, An Coosemans, Germán Corredor, Flávio Luis Dantas Portela, Frederik Deman, Sandra Demaria, Sarah Dudgeon, Mahmoud Elghazawy, Claudio Fernandez‐Martín, Susan Fineberg, Stephen B. Fox, Jennifer M. Giltnane, Sacha Gnjatic, Paula I. González-Ericsson, Anita Grigoriadis, Niels Halama, Matthew G Hanna, Aparna Harbhajanka, Steven N. Hart, Johan Hartman, Stephen M. Hewitt, Hugo M. Horlings, Zaheed Husain, Sheeba Irshad, Emiel A. M. Janssen, Tatsuki R. Kataoka, Kosuke Kawaguchi, Andrey Khramtsov, Umay Kiraz, Pawan Kirtani, Liudmila L. Kodach, Konstanty Korski, Güray Aktürk, Ely Scott, Anikó Kovács, Anne‐Vibeke Lænkholm, Corinna Lang‐Schwarz, Denis Larsimont, Jochen K. Lennerz, Marvin Lerousseau, Xiaoxian Li, Anant Madabhushi, Sai Maley, Vidya Manur Narasimhamurthy, Douglas K. Marks, Elizabeth S. McDonald, Ravi Mehrotra, Stefan Michiels, Kharidehal Durga, Fayyaz Minhas, Shachi Mittal, David Moore, Shamim Mushtaq, Nighat Hussain, Thomas Papathomas, Frédérique Penault‐Llorca, Rashindrie Perera, Christopher J. Pinard, Juan Carlos Pinto‐Cardenas, Giancarlo Pruneri, Lajos Pusztai, Nasir Rajpoot, Bernardo L. Rapoport, Tilman T. Rau, Joana Ribeiro

ORCID match The Journal of pathology · 2024 · Found in OpenAlex

DOI: 10.1002/path.6238

Choose for “Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer.”

Decoding the visual attention of pathologists to reveal their level of expertise

Souradeep Chakraborty, Dana Perez, Paul G. Friedman, Natallia Sheuka, Constantin Friedman, Oksana Yaskiv, Rajarsi Gupta, Gregory J. Zelinsky, Joel Saltz, Dimitris Samaras

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

DOI: 10.48550/arxiv.2403.17255

Choose for “Decoding the visual attention of pathologists to reveal their level of expertise”

Decoding the Visual Attention of Pathologists to Reveal Their Level of Expertise

Souradeep Chakraborty, Rajarsi Gupta, Oksana Yaskiv, Constantin Friedman, Natallia Sheuka, Dana Perez, Paul G. Friedman, Gregory J. Zelinsky, Joel Saltz, Dimitris Samaras

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

DOI: 10.1007/978-3-031-72384-1_12

Choose for “Decoding the Visual Attention of Pathologists to Reveal Their Level of Expertise”

Contributors

Jacob T. Abel, Tanishq Mathew Abraham, Ognjen Arandjelović, Ulysses J. Balis, Peter D. Caie, Chhavi Chauhan, Jerome Cheng, Marion C. Cohen, Stanley Cohen, Neofytos Dimitriou, Michael Donovan, Gerardo Fernández, Rama R. Gullapalli, Rajarsi Gupta, David Harris‐Birtill, Tahsin Kurç, Richard M. Levenson, Zaibo Li, Abishek Sainath Madduri, Bahram Marami, David S. McClintock, Benjamin R. Mitchell, David Morrison, Daniel A. Orringer, Liron Pantanowitz, Anil V. Parwani, Marcel Prastawa, Joel Saltz, Richard T. Scott, Hamid R. Tizhoosh, Austin Todd, John E. Tomaszewski, Jack Zeineh

ORCID match Elsevier eBooks · 2024 · Found in OpenAlex

DOI: 10.1016/b978-0-323-95359-7.09997-0

Choose for “Contributors”

Abstract B082: Early risk stratification of ER+/HER2– breast cancer patients using digital pathology and multi-task, weakly-supervised deep learning

Jakub Kaczmarzyk, Luke A. Torre-Healy, Richard A. Moffitt, Rajarsi Gupta, Alina M. Hamilton, Tahsin Kurç, Katherine A. Hoadley, Melissa A. Troester, Joel Saltz

ORCID match Cancer Research · 2024 · Found in OpenAlex

DOI: 10.1158/1538-7445.advbc23-b082

Choose for “Abstract B082: Early risk stratification of ER+/HER2– breast cancer patients using digital pathology and multi-task, weakly-supervised deep learning”

Topology-Guided Multi-Class Cell Context Generation for Digital Pathology

Shahira Abousamra, Rajarsi Gupta, Tahsin Kurç, Dimitris Samaras, Joel Saltz, Chao Chen

ORCID match Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2023 · Found in OpenAlex

DOI: 10.1109/cvpr52729.2023.00324

Choose for “Topology-Guided Multi-Class Cell Context Generation for Digital Pathology”

Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.

David B. Page, Glenn Broeckx, Chowdhury Arif Jahangir, Sara Verbandt, Rajarsi Gupta, Jeppe Thagaard, Reena Khiroya, Zuzana Kos, Khalid AbdulJabbar, Gabriela Acosta Haab, Balázs Ács, Güray Aktürk, Jonas S. Almeida, Isabel Alvarado‐Cabrero, Farid Azmoudeh Ardalan, Sunil V. Badve, Nurkhairul Bariyah Baharun, Enrique Bellolio, Vydehi Bheemaraju, Kim RM Blenman, Luciana Botinelly Mendonça Fujimoto, Najat Bouchmaa, Octavio Burgues, Maggie C.U. Cheang, Francesco Ciompi, Lee Cooper, An Coosemans, Germán Corredor, Flávio Luis Dantas Portela, Frederik Deman, Sandra Demaria, Sarah Dudgeon, Mahmoud Elghazawy, Scott Ely, Claudio Fernandez‐Martín, Susan Fineberg, Stephen B. Fox, William M. Gallagher, Jennifer M. Giltnane, Sacha Gnjatic, Paula I. González-Ericsson, Anita Grigoriadis, Niels Halama, Matthew G Hanna, Aparna Harbhajanka, Alexandros Hardas, Steven N. Hart, Johan Hartman, Stephen M. Hewitt, Akira I. Hida, Hugo M. Horlings, Zaheed Husain, Evangelos Hytopoulos, Sheeba Irshad, Emiel A. M. Janssen, Mohamed Kahila, Tatsuki R. Kataoka, Kosuke Kawaguchi, Kharidehal Durga, Andrey Khramtsov, Umay Kiraz, Pawan Kirtani, Liudmila L. Kodach, Konstanty Korski, Anikó Kovács, Anne‐Vibeke Lænkholm, Corinna Lang‐Schwarz, Denis Larsimont, Jochen K. Lennerz, Marvin Lerousseau, Xiaoxian Li, Amy Ly, Anant Madabhushi, Sai Maley, Vidya Manur Narasimhamurthy, Douglas K. Marks, Elizabeth S. McDonald, Ravi Mehrotra, Stefan Michiels, Fayyaz Minhas, Shachi Mittal, David Moore, Shamim Mushtaq, Nighat Hussain, Thomas Papathomas, Frédérique Penault‐Llorca, Rashindrie Perera, Christopher J. Pinard, Juan Carlos Pinto‐Cardenas, Giancarlo Pruneri, Lajos Pusztai, Arman Rahman, Nasir Rajpoot, Bernardo L. Rapoport, Tilman T. Rau, Jorge S. Reis‐Filho, Joana Ribeiro, David L. Rimm, Anne Vincent‐Salomon, Manuel Salto‐Tellez

ORCID match The Journal of pathology · 2023 · Found in OpenAlex

DOI: 10.1002/path.6165

Choose for “Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.”

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 OpenAlex

DOI: 10.48550/arxiv.2312.15010

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

Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.

Jeppe Thagaard, Glenn Broeckx, David B. Page, Chowdhury Arif Jahangir, Sara Verbandt, Zuzana Kos, Rajarsi Gupta, Reena Khiroya, Khalid AbdulJabbar, Gabriela Acosta Haab, Balázs Ács, Güray Aktürk, Jonas S. Almeida, Isabel Alvarado‐Cabrero, Mohamed Amgad, Farid Azmoudeh Ardalan, Sunil Badve, Nurkhairul Bariyah Baharun, Eva Balslev, Enrique Bellolio, Vydehi Bheemaraju, Kim RM Blenman, Luciana Botinelly Mendonça Fujimoto, Najat Bouchmaa, Octavio Burgues, Alexandros Hardas, Maggie C.U. Cheang, Francesco Ciompi, Lee Cooper, An Coosemans, Germán Corredor, Anders Bjorholm Dahl, Flávio Luis Dantas Portela, Frederik Deman, Sandra Demaria, Johan Doré Hansen, Sarah Dudgeon, Thomas Ebstrup, Mahmoud Elghazawy, Claudio Fernandez‐Martín, Stephen B. Fox, William M. Gallagher, Jennifer M. Giltnane, Sacha Gnjatic, Paula I. González-Ericsson, Anita Grigoriadis, Niels Halama, Matthew G Hanna, Aparna Harbhajanka, Steven N. Hart, Johan Hartman, Søren Hauberg, Stephen M. Hewitt, Akira I. Hida, Hugo M. Horlings, Zaheed Husain, Evangelos Hytopoulos, Sheeba Irshad, Emiel A. M. Janssen, Mohamed M. Kahila, Tatsuki R. Kataoka, Kosuke Kawaguchi, Kharidehal Durga, Andrey Khramtsov, Umay Kiraz, Pawan Kirtani, Liudmila L. Kodach, Konstanty Korski, Anikó Kovács, Anne‐Vibeke Lænkholm, Corinna Lang‐Schwarz, Denis Larsimont, Jochen K. Lennerz, Marvin Lerousseau, Xiaoxian Li, Amy Ly, Anant Madabhushi, Sai Maley, Vidya Manur Narasimhamurthy, Douglas K. Marks, Elizabeth S. McDonald, Ravi Mehrotra, Stefan Michiels, Fayyaz Minhas, Shachi Mittal, David A. Moore, Shamim Mushtaq, Nighat Hussain, Thomas Papathomas, Frédérique Penault‐Llorca, Rashindrie Perera, Christopher J. Pinard, Juan Carlos Pinto‐Cardenas, Giancarlo Pruneri, Lajos Pusztai, Arman Rahman, Nasir Rajpoot, Bernardo L. Rapoport, Tilman T. Rau, Jorge S. Reis‐Filho

ORCID match The Journal of pathology · 2023 · Found in OpenAlex

DOI: 10.1002/path.6155

Choose for “Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.”

Open and reusable deep learning for pathology with WSInfer and QuPath

Jakub Kaczmarzyk, Alan O’Callaghan, Fiona Inglis, Tahsin Kurç, Rajarsi Gupta, Erich Bremer, Peter Bankhead, Joel Saltz

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

DOI: 10.48550/arxiv.2309.04631

Choose for “Open and reusable deep learning for pathology with WSInfer and QuPath”

Initial interactions with the FDA on developing a validation dataset as a medical device development tool

Steven N. Hart, Víctor García, Sarah Dudgeon, Matthew G. Hanna, Xiaoxian Li, Kim Blenman, Katherine Elfer, Amy Ly, Roberto Salgado, Joel Saltz, Rajarsi Gupta, Evangelos Hytopoulos, Denis Larsimont, Jochen K. Lennerz, Brandon D. Gallas

ORCID match The Journal of Pathology · 2023 · Found in OpenAlex

DOI: 10.1002/path.6208

Choose for “Initial interactions with the FDA on developing a validation dataset as a medical device development tool”

AI and Pathology: Steering Treatment and Predicting Outcomes

Rajarsi Gupta, Jakub Kaczmarzyk, Soma Kobayashi, Tahsin Kurç, Joel Saltz

ORCID match WORLD SCIENTIFIC eBooks · 2023 · Found in OpenAlex

DOI: 10.1142/9789811265679_0019

Choose for “AI and Pathology: Steering Treatment and Predicting Outcomes”

Visual Attention Analysis Of Pathologists Examining Whole Slide Images Of Prostate Cancer

Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice S. Knudsen, Gregory J. Zelinsky, Joel Saltz, Dimitris Samaras

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

DOI: 10.1109/isbi52829.2022.9761489

Choose for “Visual Attention Analysis Of Pathologists Examining Whole Slide Images Of Prostate Cancer”

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”

Spatial Characterization of Tumor-Infiltrating Lymphocytes and Breast Cancer Progression

Danielle Fassler, Luke A. Torre-Healy, Rajarsi Gupta, Alina M. Hamilton, Soma Kobayashi, Sarah C. Van Alsten, Yuwei Zhang, Tahsin Kurç, Richard A. Moffitt, Melissa A. Troester, Katherine A. Hoadley, Joel Saltz

ORCID match Cancers · 2022 · Found in OpenAlex

DOI: 10.3390/cancers14092148

Choose for “Spatial Characterization of Tumor-Infiltrating Lymphocytes and Breast Cancer Progression”

Spatial Characterization of Tumor-Infiltrating Lymphocytes and Breast Cancer Progression

Luke A. Torre-Healy, Melissa A. Troester, Soma Kobayashi, Sarah C. Van Alsten, Rajarsi Gupta, Katherine A. Hoadley, Yuwei Zhang, Alina M. Hamilton, Tahsin Kurç, Danielle Fassler, Joel Saltz, Richard A. Moffitt

ORCID match Carolina Digital Repository (University of North Carolina at Chapel Hill) · 2022 · Found in OpenAlex

DOI: 10.17615/yqef-6n73

Choose for “Spatial Characterization of Tumor-Infiltrating Lymphocytes and Breast Cancer Progression”

Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer

Souradeep Chakraborty, Rajarsi Gupta, Ke Ma, Darshana Govind, Pinaki Sarder, Won‐Tak Choi, Waqas Mahmud, Eric U. Yee, Felicia D. Allard, Beatrice S. Knudsen, Gregory J. Zelinsky, Joel Saltz, Dimitris Samaras

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

DOI: 10.1007/978-3-031-16961-8_2

Choose for “Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer”

Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithms

Katherine Elfer, Sarah Dudgeon, Víctor García, Kim Blenman, Evangelos Hytopoulos, Si Wen, Xiaoxian Li, Amy Ly, Bruce Werness, Manasi Sheth, Mohamed Amgad, Rajarsi Gupta, Joel Saltz, Matthew G. Hanna, Anna Ehinger, Dieter Peeters, Roberto Salgado, Brandon D. Gallas

ORCID match Journal of medical imaging · 2022 · Found in OpenAlex

DOI: 10.1117/1.jmi.9.4.047501

Choose for “Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithms”

Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning

Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel Saltz, Maria Vakalopoulou, Dimitris Samaras

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

DOI: 10.1007/978-3-031-16434-7_19

Choose for “Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning”

Federated Learning for the Classification of Tumor Infiltrating Lymphocytes

Ujjwal Baid, Sarthak Pati, Tahsin Kurç, Rajarsi Gupta, Erich Bremer, Shahira Abousamra, Siddhesh Thakur, Joel Saltz, Spyridon Bakas

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

DOI: 10.48550/arxiv.2203.16622

Choose for “Federated Learning for the Classification of Tumor Infiltrating Lymphocytes”

Evaluating histopathology transfer learning with ChampKit

Jakub Kaczmarzyk, Tahsin Kurç, Shahira Abousamra, Rajarsi Gupta, Joel Saltz, Peter K. Koo

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

DOI: 10.48550/arxiv.2206.06862

Choose for “Evaluating histopathology transfer learning with ChampKit”

An Expandable Informatics Framework for Enhancing Central Cancer Registries with Digital Pathology Specimens, Computational Imaging Tools, and Advanced Mining Capabilities.

D.J. Foran, Eric B. Durbin, Wenjin Chen, Evita Sadimin, Ashish Sharma, Imon Banerjee, Tahsin Kurç, Nan Li, Antoinette M. Stroup, Gerald Harris, Annie Gu, Maria J. Schymura, Rajarsi Gupta, Erich Bremer, Joseph Balsamo, Tammy DiPrima, Feiqiao Wang, Shahira Abousamra, Dimitris Samaras, Isaac Hands, Kevin C. Ward, Joel H. Saltz

ORCID match Journal of pathology informatics · 2022 · Found in OpenAlex

DOI: 10.4103/jpi.jpi_31_21

Choose for “An Expandable Informatics Framework for Enhancing Central Cancer Registries with Digital Pathology Specimens, Computational Imaging Tools, and Advanced Mining Capabilities.”

AI and Pathology: Steering Treatment and Predicting Outcomes

Rajarsi Gupta, Jakub Kaczmarzyk, Soma Kobayashi, Tahsin Kurç, Joel Saltz

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

DOI: 10.48550/arxiv.2206.07573

Choose for “AI and Pathology: Steering Treatment and Predicting Outcomes”

Outcomes and Healthcare Provider Perceptions of Real-Time Continuous Glucose Monitoring (rtCGM) in Patients With Diabetes and COVID-19 Admitted to the ICU

Kenneth Chow, Danielle J. Kelly, Mary C. Rieff, Patricia A. Skala, Igor Kravets, Marina Charitou, Eric J. Morley, Rajarsi Gupta, Joshua D. Miller

ORCID match Journal of Diabetes Science and Technology · 2021 · Found in OpenAlex

DOI: 10.1177/1932296820985263

Choose for “Outcomes and Healthcare Provider Perceptions of Real-Time Continuous Glucose Monitoring (rtCGM) in Patients With Diabetes and COVID-19 Admitted to the ICU”

Multi-Class Cell Detection Using Spatial Context Representation

Shahira Abousamra, David Belinsky, John Van Arnam, Felicia D. Allard, Eric U. Yee, Rajarsi Gupta, Tahsin Kurç, Dimitris Samaras, Joel Saltz, Chao Chen

ORCID match 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · Found in OpenAlex

DOI: 10.1109/iccv48922.2021.00397

Choose for “Multi-Class Cell Detection Using Spatial Context Representation”

Multi-Class Cell Detection Using Spatial Context Representation

Shahira Abousamra, David Belinsky, John Van Arnam, Felicia D. Allard, Eric U. Yee, Rajarsi Gupta, Tahsin Kurç, Dimitris Samaras, Joel Saltz, Chao Chen

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

DOI: 10.48550/arxiv.2110.04886

Choose for “Multi-Class Cell Detection Using Spatial Context Representation”

Automated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma

Michael Moore, Isabel D. Friesner, Emanuelle M. Rizk, Benjamin T. Fullerton, Manas Mondal, Megan H. Trager, Karen Mendelson, Ijeuru Chikeka, Tahsin Kurç, Rajarsi Gupta, Bethany R. Rohr, Eric Robinson, Balázs Ács, Rui Chang, Harriet M. Kluger, Bret Taback, Larisa J. Geskin, Basil A. Horst, Kevin Gardner, George Niedt, Jülide Tok Çelebi, Robyn D. Gartrell‐Corrado, Jane L. Messina, Tammie Ferringer, David L. Rimm, Joel Saltz, Jing Wang, R. Vanguri, Yvonne M. Saenger

ORCID match Scientific Reports · 2021 · Found in OpenAlex

DOI: 10.1038/s41598-021-82305-1

Choose for “Automated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma”

A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study

Sarah Dudgeon, Si Wen, Matthew G. Hanna, Rajarsi Gupta, Mohamed Amgad, Manasi Sheth, Hetal D. Marble, Richard Huang, Markus D. Herrmann, Clifford H. Szu, Darick Tong, Bruce Werness, Evan Szu, Denis Larsimont, Anant Madabhushi, Evangelos Hytopoulos, Weijie Chen, Rajendra Singh, Steven N. Hart, Ashish Sharma, Joel Saltz, Roberto Salgado, Brandon D. Gallas

ORCID match Journal of Pathology Informatics · 2021 · Found in OpenAlex

DOI: 10.4103/jpi.jpi_83_20

Choose for “A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study”

Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images

Shahira Abousamra, Danielle Fassler, Le Hou, Yuwei Zhang, Rajarsi Gupta, Tahsin Kurç, Luisa F. Escobar‐Hoyos, Dimitris Samaras, Beatrice Knudson, Kenneth R. Shroyer, Joel Saltz, Chao Chen

ORCID match · 2020 · Found in OpenAlex

DOI: 10.1109/isbi45749.2020.9098652

Choose for “Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images”

Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer

Han Le, Rajarsi Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Luke A. Torre-Healy, Richard A. Moffitt, Tahsin Kurç, Dimitris Samaras, Rebecca Batiste, Tianhao Zhao, Arvind Rao, Alison L. Van Dyke, Ashish Sharma, Erich Bremer, Jonas S. Almeida, Joel Saltz

ORCID match American Journal Of Pathology · 2020 · Found in OpenAlex

DOI: 10.1016/j.ajpath.2020.03.012

Choose for “Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer”

Su1151 DEEP LEARNING FOR HISTOLOGICAL ANALYSIS OF TUMOR-LYMPHOCYTE INTERACTIONS IN PANCREATIC DUCTAL ADENOCARCINOMA

Soma Kobayashi, Le Han, Lucie Chrastecka, Rajarsi Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Kenneth R. Shroyer, Dimitris Samaras, Richard A. Moffitt, Joel Saltz

ORCID match Gastroenterology · 2020 · Found in OpenAlex

DOI: 10.1016/s0016-5085(20)32000-x

Choose for “Su1151 DEEP LEARNING FOR HISTOLOGICAL ANALYSIS OF TUMOR-LYMPHOCYTE INTERACTIONS IN PANCREATIC DUCTAL ADENOCARCINOMA”

Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

Tahsin Kurç, Spyridon Bakas, Xuhua Ren, Aditya Bagari, Alexandre Momeni, Yue Huang, Lichi Zhang, Ashish Kumar, Marc Thibault, Qi Qi, Qian Wang, Avinash Kori, Olivier Gevaert, Yunlong Zhang, Dinggang Shen, Mahendra Khened, Xinghao Ding, Ganapathy Krishnamurthi, Jayashree Kalpathy–Cramer, James Davis, Tianhao Zhao, Rajarsi Gupta, Joel Saltz, Keyvan Farahani

ORCID match Frontiers in Neuroscience · 2020 · Found in OpenAlex

DOI: 10.3389/fnins.2020.00027

Choose for “Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches”

Publisher Correction to: Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images

Danielle Fassler, Shahira Abousamra, Rajarsi Gupta, Chao Chen, Maozheng Zhao, David Paredes, Syeda Areeha Batool, Beatrice S. Knudsen, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Dimitris Samaras, Tahsin Kurç, Joel Saltz

ORCID match Diagnostic Pathology · 2020 · Found in OpenAlex

DOI: 10.1186/s13000-020-01021-y

Choose for “Publisher Correction to: Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images”

Preoperative Pembrolizumab Treatment Changes Tils in Naïve Stage I/IIA TNBC Patients Within a Window of Opportunity Trial

Q. Wang, R. Vanguri, Hua Guo, Shuobo Boboila, Tahsin Kurç, Han Le, Shahira Abousamra, Le Hou, Dimitris Samaras, Rajarsi Gupta, Joel Saltz, Kevin Gardner, Hanina Hibshoosh, Kevin Kalinsky, Eileen P. Connolly

ORCID match International Journal of Radiation Oncology*Biology*Physics · 2020 · Found in OpenAlex

DOI: 10.1016/j.ijrobp.2020.07.1091

Choose for “Preoperative Pembrolizumab Treatment Changes Tils in Naïve Stage I/IIA TNBC Patients Within a Window of Opportunity Trial”

From Whole Slide Tissues to Knowledge: Mapping Sub-cellular Morphology of Cancer

Tahsin Kurç, Ashish Sharma, Rajarsi Gupta, Le Hou, Han Le, Shahira Abousamra, Erich Bremer, Ryan Birmingham, Tammy DiPrima, Nan Li, Feiqiao Wang, Joseph Balsamo, Whitney Bremer, Dimitris Samaras, Joel Saltz

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

DOI: 10.1007/978-3-030-46643-5_37

Choose for “From Whole Slide Tissues to Knowledge: Mapping Sub-cellular Morphology of Cancer”

Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning Approach (Preprint)

Sina Rashidian, Kayley Abell-Hart, Janos Hajagos, Richard A. Moffitt, Veena Lingam, Víctor García, Chao-Wei Tsai, Fusheng Wang, Xinyu Dong, Siao Sun, Jianyuan Deng, Rajarsi Gupta, Joshua D. Miller, Joel Saltz, Mary Saltz

ORCID match · 2020 · Found in OpenAlex

DOI: 10.2196/preprints.22649

Choose for “Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning Approach (Preprint)”

Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning Approach

Sina Rashidian, Kayley Abell-Hart, Janos Hajagos, Richard A. Moffitt, Veena Lingam, Víctor García, Chao-Wei Tsai, Fusheng Wang, Xinyu Dong, Siao Sun, Jianyuan Deng, Rajarsi Gupta, Joshua D. Miller, Joel Saltz, Mary Saltz

ORCID match JMIR Medical Informatics · 2020 · Found in OpenAlex

DOI: 10.2196/22649

Choose for “Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning Approach”

Delivering Scalable Deep Learning to Research with Bridges-AI

Paola A. Buitrago, Nicholas A. Nystrom, Rajarsi Gupta, Joel Saltz

ORCID match Communications in computer and information science · 2020 · Found in OpenAlex

DOI: 10.1007/978-3-030-41005-6_14

Choose for “Delivering Scalable Deep Learning to Research with Bridges-AI”

Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images

Danielle Fassler, Shahira Abousamra, Rajarsi Gupta, Chao Chen, Maozheng Zhao, David Paredes, Syeda Areeha Batool, Beatrice S. Knudsen, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Dimitris Samaras, Tahsin Kurç, Joel Saltz

ORCID match Diagnostic Pathology · 2020 · Found in OpenAlex

DOI: 10.1186/s13000-020-01003-0

Choose for “Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images”

Contributors

Tanishq Mathew Abraham, Ognjen Arandjelović, Peter D. Caie, Stanley Cohen, Neofytos Dimitriou, Michael Donovan, Gerardo Fernández, Rajarsi Gupta, Richard M. Levenson, Bahram Marami, Benjamin R. Mitchell, Daniel A. Orringer, Anil V. Parwani, Marcel Prastawa, Abishek Sainath Madduri, Joel Saltz, Richard Scott, Austin Todd, John E. Tomaszewski, Jack Zeineh

ORCID match Elsevier eBooks · 2020 · Found in OpenAlex

DOI: 10.1016/b978-0-323-67538-3.01002-2

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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 OpenAlex

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

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

Abstract P3-09-17: Preoperative pembrolizumab increases sTILs in treatment naïve stage I/IIA TNBC patients in a window of opportunity trial

R. Vanguri, Hua Guo, Shuobo Boboila, Tahsin Kurç, Han Le, Shahira Abousamra, Le Hou, Dimitris Samaras, Rajarsi Gupta, Joel Saltz, Kevin Gardner, Hanina Hibshoosh, Kevin Kalinsky, Eileen P. Connolly

ORCID match Cancer Research · 2020 · Found in OpenAlex

DOI: 10.1158/1538-7445.sabcs19-p3-09-17

Choose for “Abstract P3-09-17: Preoperative pembrolizumab increases sTILs in treatment naïve stage I/IIA TNBC patients in a window of opportunity trial”

Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer

Han Le, Rajarsi Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Tahsin Kurç, Dimitris Samaras, Rebecca Batiste, Tianhao Zhao, Arvind Rao, Alison L. Van Dyke, Ashish Sharma, Erich Bremer, Jonas S. Almeida, Joel Saltz

ORCID match arXiv (Cornell University) · 2019 · Found in OpenAlex

DOI: 10.48550/arxiv.1905.10841

Choose for “Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer”

The Emergence of Pathomics

Rajarsi Gupta, Tahsin Kurç, Ashish Sharma, Jonas S. Almeida, Joel Saltz

ORCID match Current Pathobiology Reports · 2019 · Found in OpenAlex

DOI: 10.1007/s40139-019-00200-x

Choose for “The Emergence of Pathomics”

Robust Histopathology Image Analysis: To Label or to Synthesize?

Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin Kurç, Rajarsi Gupta, Joel Saltz

ORCID match Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2019 · Found in OpenAlex

DOI: 10.1109/cvpr.2019.00873

Choose for “Robust Histopathology Image Analysis: To Label or to Synthesize?”

Methods for Segmentation and Classification of Digital Microscopy Tissue Images

Quoc Dang Vu, Simon Graham, Tahsin Kurç, Minh Nguyen Nhat To, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, Jayashree Kalpathy-Cramer, Tianhao Zhao, Rajarsi Gupta, Jin Tae Kwak, Nasir Rajpoot, Joel Saltz, Keyvan Farahani

ORCID match Frontiers in Bioengineering and Biotechnology · 2019 · Found in OpenAlex

DOI: 10.3389/fbioe.2019.00053

Choose for “Methods for Segmentation and Classification of Digital Microscopy Tissue Images”

Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types

Shahira Abousamra, Le Hou, Rajarsi Gupta, Chao Chen, Dimitris Samaras, Tahsin Kurç, Rebecca Batiste, Tianhao Zhao, Shroyer Kenneth, Joel Saltz

ORCID match arXiv (Cornell University) · 2019 · Found in OpenAlex

DOI: 10.48550/arxiv.1907.03960

Choose for “Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types”

Label Super Resolution with Inter-Instance Loss

Maozheng Zhao, Le Hou, Han Le, Dimitris Samaras, Nebojša Jojić, Danielle Fassler, Tahsin Kurç, Rajarsi Gupta, Kolya Malkin, Shroyer Kenneth, Joel Saltz

ORCID match arXiv (Cornell University) · 2019 · Found in OpenAlex

DOI: 10.48550/arxiv.1904.04429

Choose for “Label Super Resolution with Inter-Instance Loss”

Abstract A27: Deep learning for analysis of tumor-lymphocyte interactions in pancreatic ductal adenocarcinoma

Soma Kobayashi, Le Han, Lucie Chrastecka, Rajarsi Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Kenneth R. Shroyer, Dimitris Samaras, Tahsin Kurç, Richard A. Moffitt, Joel Saltz

ORCID match Cancer Research · 2019 · Found in OpenAlex

DOI: 10.1158/1538-7445.panca19-a27

Choose for “Abstract A27: Deep learning for analysis of tumor-lymphocyte interactions in pancreatic ductal adenocarcinoma”

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Joel Saltz, Rajarsi Gupta, Le Hou, Tahsin Kurç, Pankaj K. Singh, Vu Nguyen, Dimitris Samaras, Kenneth R. Shroyer, Tianhao Zhao, Rebecca Batiste, John Van Arnam, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Zhining Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Sam Meier, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Vésteinn Thorsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Han Liang, Shiyun Ling, Shiyun Ling, Yiling Lu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michael Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Jianjiong Gao, Benjamin E. Gross, Zachary Heins, Ritika Kundra, Marc Ladanyi, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa, Sarah Phillips, Ed Reznik, Francisco Sanchez-Vega, Chris Sander, Nikolaus Schultz, Robert Sheridan, S. Onur Sumer, Yichao Sun, Barry S. Taylor, Jioajiao Wang

ORCID match Cell Reports · 2018 · Found in OpenAlex

DOI: 10.1016/j.celrep.2018.03.086

Choose for “Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images”

Methods for Segmentation and Classification of Digital Microscopy Tissue\n Images

Quoc Dang Vu, Simon Graham, Minh Nguyen Nhat To, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, Tahsin Kurç, Keyvan Farahani, Tianhao Zhao, Rajarsi Gupta, Jin Tae Kwak, Nasir Rajpoot, Joel Saltz

ORCID match arXiv (Cornell University) · 2018 · Found in OpenAlex

DOI: 10.48550/arxiv.1810.13230

Choose for “Methods for Segmentation and Classification of Digital Microscopy Tissue\n Images”

Disease phenotyping using deep learning: A diabetes case study

Sina Rashidian, Janos Hajagos, Richard A. Moffitt, Fusheng Wang, Xinyu Dong, Kayley Abell-Hart, Kimberly Noel, Rajarsi Gupta, Mathew Tharakan, Veena Lingam, Joel Saltz, Mary Saltz

ORCID match arXiv (Cornell University) · 2018 · Found in OpenAlex

DOI: 10.48550/arxiv.1811.11818

Choose for “Disease phenotyping using deep learning: A diabetes case study”

Unsupervised Histopathology Image Synthesis

Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin Kurç, Rajarsi Gupta, Joel Saltz

ORCID match arXiv (Cornell University) · 2017 · Found in OpenAlex

DOI: 10.48550/arxiv.1712.05021

Choose for “Unsupervised Histopathology Image Synthesis”

Transformation of myelodysplastic syndrome with isolated 5q-syndrome to chronic myelogenous leukemia with a novel complex BCR/ABL1 translocation with rapid progression to blast crisis

Ann‐Leslie Zaslav, Rajarsi Gupta, Bruce T Burks, Michael Schuster, Bita Jalilizeinali, Erin Knorr, Dan Tully, Paula Fernicola, Theresa Mercado, Silvia Spitzer, Marc G. Golightly, Yupo Ma, Tahmeena Ahmed

ORCID match Hematology and Leukemia · 2016 · Found in OpenAlex

DOI: 10.7243/2052-434x-4-2

Choose for “Transformation of myelodysplastic syndrome with isolated 5q-syndrome to chronic myelogenous leukemia with a novel complex BCR/ABL1 translocation with rapid progression to blast crisis”

Correlation of functional and resting state connectivity of cerebral oxy-, deoxy-, and total hemoglobin concentration changes measured by near-infrared spectrophotometry

Ursula Wolf, Vladislav Toronov, Jee Hyun Choi, Rajarsi Gupta, Antonios Michalos, Enrico Gratton, Martin Wolf

ORCID match Journal of Biomedical Optics · 2011 · Found in OpenAlex

DOI: 10.1117/1.3615249

Choose for “Correlation of functional and resting state connectivity of cerebral oxy-, deoxy-, and total hemoglobin concentration changes measured by near-infrared spectrophotometry”

Cerebrovascular Responses in OSA Patients during CPAP Therapy Measured in the Frontal Lobes of the Brain Bilaterally, Simultaneously, and Non-Invasively Using Frequency-Domain Near-Infrared Spectroscopy.

A. Michalos, Rajarsi Gupta, CO Olopade, Picchietti Dl, Marcel Hungs, Enrico Gratton

ORCID match · 2009 · Found in OpenAlex

DOI: 10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a3554

Choose for “Cerebrovascular Responses in OSA Patients during CPAP Therapy Measured in the Frontal Lobes of the Brain Bilaterally, Simultaneously, and Non-Invasively Using Frequency-Domain Near-Infrared Spectroscopy.”

Noninvasive determination of the optical properties of adult brain: near-infrared spectroscopy approach

Jee Hyun Choi, Martin Wolf, Vladislav Toronov, Ursula Wolf, Chiara Polzonetti, Dennis M. Hueber, Larisa P. Safonova, Rajarsi Gupta, Antonios Michalos, William W. Mantulin, Enrico Gratton

ORCID match Journal of Biomedical Optics · 2004 · Found in OpenAlex

DOI: 10.1117/1.1628242

Choose for “Noninvasive determination of the optical properties of adult brain: near-infrared spectroscopy approach”

Age-correlated changes in cerebral hemodynamics assessed by near-infrared spectroscopy

Larisa P. Safonova, Antonios Michalos, Ursula Wolf, Martin Wolf, Dennis M. Hueber, Jee Hyun Choi, Rajarsi Gupta, Chiara Polzonetti, William W. Mantulin, Enrico Gratton

ORCID match Archives of Gerontology and Geriatrics · 2004 · Found in OpenAlex

DOI: 10.1016/j.archger.2004.03.007

Choose for “Age-correlated changes in cerebral hemodynamics assessed by near-infrared spectroscopy”

Use of GC Clamps in DHPLC Mutation Scanning

R J Wurzburger, Rajarsi Gupta, A Parnassa, R.K. Jain, J. A. Wexler, J. L. Chu, Keith B. Elkon, Robert D. Blank

ORCID match Clinical Medicine & Research · 2003 · Found in OpenAlex

DOI: 10.3121/cmr.1.2.111

Choose for “Use of GC Clamps in DHPLC Mutation Scanning”

Study of the FMRI blood oxygen level dependent effect by near-infrared spectroscopy

Vladislav Toronov, Andrew Webb, Scott Walker, Rajarsi Gupta, Jee Hyun Choi, Enrico Gratton, Dennis M. Hueber

ORCID match Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003 · Found in OpenAlex

DOI: 10.1117/12.518770

Choose for “Study of the FMRI blood oxygen level dependent effect by near-infrared spectroscopy”

Spectroscopically Determined Collagen Pyr/deH-DHLNL Cross-Link Ratio and Crystallinity Indices Differ Markedly in Recombinant Congenic Mice with Divergent Calculated Bone Tissue Strength

Robert D. Blank, Todd Baldini, Michael Kaufman, Stephanie Bailey, Rajarsi Gupta, Yevgeniy Yershov, Adele L. Boskey, S. N. Coppersmith, Peter Démant, Eleftherios P. Paschalis

ORCID match Connective Tissue Research · 2003 · Found in OpenAlex

DOI: 10.1080/03008200390223918

Choose for “Spectroscopically Determined Collagen Pyr/deH-DHLNL Cross-Link Ratio and Crystallinity Indices Differ Markedly in Recombinant Congenic Mice with Divergent Calculated Bone Tissue Strength”

Spectroscopically Determined Collagen Pyr/deH-DHLNL Cross-Link Ratio and Crystallinity Indices Differ Markedly in Recombinant Congenic Mice with Divergent Calculated Bone Tissue Strength

Robert H. Blank, Todd Baldini, Michael J. Kaufman, Stephanie Bailey, Rajarsi Gupta, Yevgeniy Yershov, Adele L. Boskey, S. N. Coppersmith, Peter Démant, Eleftherios I. Paschalis

ORCID match Connective Tissue Research · 2003 · Found in OpenAlex

DOI: 10.1080/713713681

Choose for “Spectroscopically Determined Collagen Pyr/deH-DHLNL Cross-Link Ratio and Crystallinity Indices Differ Markedly in Recombinant Congenic Mice with Divergent Calculated Bone Tissue Strength”

Detection of the Fast Neuronal Signal on the Motor Cortex Using Functional Frequency Domain near Infrared Spectroscopy

Martin Wolf, Ursula Wolf, Jee Hyun Choi, Rajarsi Gupta, Larisa P. Safonova, L. Adelina Paunescu, Antonios Michalos, Enrico Gratton

ORCID match Advances in experimental medicine and biology · 2003 · Found in OpenAlex

DOI: 10.1007/978-1-4615-0205-0_32

Choose for “Detection of the Fast Neuronal Signal on the Motor Cortex Using Functional Frequency Domain near Infrared Spectroscopy”

Reduced cerebral hemodynamic response in sleep disorders: A NIRS frequency-domain study

A. Michalos, Larisa P. Safonova, DM Hueber, Ursula Wolf, Martin Wolf, Jee Hyun Choi, Rajarsi Gupta, Chiara Polzonetti, Beniamino Barbieri, William W. Mantulin, Enrico Gratton

ORCID match · 2002 · Found in OpenAlex

DOI: 10.1364/bio.2002.ma1

Choose for “Reduced cerebral hemodynamic response in sleep disorders: A NIRS frequency-domain study”

Noninvasive determination of optical properties of adult brain with frequency-domain near-infrared spectroscopy

Jee Hyun Choi, Martin Wolf, Ursula Wolf, Chiara Polzonetti, Larisa P. Safonova, Rajarsi Gupta, Antonios Michalos, William W. Mantulin, Enrico Gratton, Vladislav Toronov, Dennis M. Hueber

ORCID match · 2002 · Found in OpenAlex

DOI: 10.1364/bio.2002.sud33

Choose for “Noninvasive determination of optical properties of adult brain with frequency-domain near-infrared spectroscopy”

Age correlated changes in cerebral hemodynamics assessed by near-infrared spectroscopy

Larisa P. Safonova, A. Michalos, DM Hueber, Ursula Wolf, Martin Wolf, Jee Hyun Choi, Rajarsi Gupta, Chiara Polzonetti, Beniamino Barbieri, William W. Mantulin, Enrico Gratton

ORCID match · 2002 · Found in OpenAlex

DOI: 10.1364/bio.2002.sud35

Choose for “Age correlated changes in cerebral hemodynamics assessed by near-infrared spectroscopy”
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