Unsupervised Histopathology Image Synthesis. - Le Hou; Ayush Agarwal; Dimitris Samaras; Tahsin M. Kurç; Rajarsi R. Gupta; Joel H. Saltz (CoRR, 2017)

Methods for Segmentation and Classification of Digital Microscopy Tissue Images. - Quoc Dang Vu; Simon Graham; Minh Nguyen Nhat To; Muhammad Shaban; Talha Qaiser; Navid Alemi Koohbanani; Syed Ali Khurram; Tahsin M. Kurç; Keyvan Farahani; Tianhao Zhao; Rajarsi R. Gupta; Jin Tae Kwak; et al. (CoRR, 2018)

Disease phenotyping using deep learning: A diabetes case study. - Sina Rashidian; Janos G. Hajagos; Richard A. Moffitt; Fusheng Wang 001; Xinyu Dong; Kayley Abell-Hart; Kimberly Noel; Rajarsi R. Gupta; Mathew Tharakan; Veena Lingam; Joel H. Saltz; Mary M. Saltz (CoRR, 2018)

From Whole Slide Tissues to Knowledge: Mapping Sub-cellular Morphology of Cancer. - Tahsin M. Kurç; Ashish Sharma 001; Rajarsi Gupta 001; Le Hou; Han Le; Shahira Abousamra; Erich Bremer; Ryan Birmingham; Tammy Diprima; Nan Li; Feiqiao Wang; Joseph Balsamo; et al. (BrainLes@MICCAI (2), 2019)

Delivering Scalable Deep Learning to Research with Bridges-AI. - Paola A. Buitrago; Nicholas A. Nystrom; Rajarsi Gupta 001; Joel H. Saltz (CARLA, 2019)

Robust Histopathology Image Analysis: To Label or to Synthesize? - Le Hou; Ayush Agarwal; Dimitris Samaras; Tahsin M. Kurç; Rajarsi R. Gupta; Joel H. Saltz (CVPR, 2019)

Pancreatic Cancer Detection in Whole Slide Images Using Noisy Label Annotations. - Han Le; Dimitris Samaras; Tahsin M. Kurç; Rajarsi Gupta 001; Kenneth Shroyer; Joel H. Saltz (MICCAI (1), 2019)

Label Super Resolution with Inter-Instance Loss. - Maozheng Zhao; Le Hou; Han Le; Dimitris Samaras; Nebojsa Jojic; Danielle Fassler; Tahsin M. Kurç; Rajarsi R. Gupta; Kolya Malkin; Shahira Abousamra; Kenneth Shroyer; Joel H. Saltz (CoRR, 2019)

Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer. - Han Le; Rajarsi R. Gupta; Le Hou; Shahira Abousamra; Danielle Fassler; Tahsin M. Kurç; Dimitris Samaras; Rebecca Batiste; Tianhao Zhao; Alison L. Van Dyke; Ashish Sharma 001; Erich Bremer; et al. (CoRR, 2019)

Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types. - Shahira Abousamra; Le Hou; Rajarsi R. Gupta; Chao Chen 012; Dimitris Samaras; Tahsin M. Kurç; Rebecca Batiste; Tianhao Zhao; Kenneth Shroyer; Joel H. Saltz (CoRR, 2019)

Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images. - Le Hou; Vu Nguyen 004; Ariel B. Kanevsky; Dimitris Samaras; Tahsin M. Kurç; Tianhao Zhao; Rajarsi R. Gupta; Yi Gao 002; Wenjin Chen; David J. Foran; Joel H. Saltz (Pattern Recognit., 2019)

Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer. - David Paredes; Prateek Prasanna; Christina Preece; Rajarsi Gupta 001; Farzad Fereidouni; Dimitris Samaras; Tahsin M. Kurç; Richard M. Levenson 001; Patricia Thompson-Carino; Joel H. Saltz; Chao Chen 012 (ECCV Workshops (1), 2020)

Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images. - Shahira Abousamra; Danielle Fassler; Le Hou; Yuwei Zhang; Rajarsi Gupta 001; Tahsin M. Kurç; Luisa F. Escobar-Hoyos; Dimitris Samaras; Beatrice Knudson; Kenneth Shroyer; Joel H. Saltz; Chao Chen 012 (ISBI, 2020)

Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types. - Le Hou; Rajarsi Gupta 001; John S. Van Arnam; Yuwei Zhang; Kaustubh Sivalenka; Dimitris Samaras; Tahsin M. Kurç; Joel H. Saltz (CoRR, 2020)

A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification. - Jingwei Zhang; Ke Ma 005; John S. Van Arnam; Rajarsi Gupta 001; Joel H. Saltz; Maria Vakalopoulou; Dimitris Samaras (CVPR Workshops, 2021)

Multi-Class Cell Detection Using Spatial Context Representation. - Shahira Abousamra; David Belinsky; John S. Van Arnam; Felicia Allard; Eric Yee; Rajarsi Gupta 001; Tahsin M. Kurç; Dimitris Samaras; Joel H. Saltz; Chao Chen 012 (ICCV, 2021)

Visual Attention Analysis Of Pathologists Examining Whole Slide Images Of Prostate Cancer. - Souradeep Chakraborty; Ke Ma 005; Rajarsi Gupta 001; Beatrice Knudsen; Gregory J. Zelinsky; Joel H. Saltz; Dimitris Samaras (ISBI, 2022)

Subtype-Specific Spatial Descriptors of Tumor-Immune Microenvironment are Prognostic of Survival in Lung Adenocarcinoma. - Saarthak Kapse; Luke Torre-Healy; Richard A. Moffitt; Rajarsi Gupta 001; Prateek Prasanna (ISBI, 2022)

Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer. - Souradeep Chakraborty; Rajarsi Gupta 001; Ke Ma 005; Darshana Govind; Pinaki Sarder; Won-Tak Choi; Waqas Mahmud; Eric Yee; Felicia Allard; Beatrice Knudsen; Gregory J. Zelinsky; Joel H. Saltz; et al. (MOVI@MICCAI, 2022)

Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning. - Jingwei Zhang; Xin Zhang; Ke Ma 005; Rajarsi Gupta 001; Joel H. Saltz; Maria Vakalopoulou; Dimitris Samaras (MICCAI (2), 2022)

Shape-based tumor microenvironment analysis to differentiate non-small cell lung cancer subtypes: a radio-pathomic study. - Saarthak Kapse; Rajarsi Gupta 001; Prateek Prasanna (Digital and Computational Pathology, 2022)

Federated Learning for the Classification of Tumor Infiltrating Lymphocytes. - Ujjwal Baid; Sarthak Pati; Tahsin M. Kurç; Rajarsi Gupta 001; Erich Bremer; Shahira Abousamra; Siddhesh P. Thakur; Joel H. Saltz; Spyridon Bakas (CoRR, 2022)

Evaluating histopathology transfer learning with ChampKit. - Jakub R. Kaczmarzyk; Tahsin M. Kurç; Shahira Abousamra; Rajarsi Gupta 001; Joel H. Saltz; Peter K. Koo (CoRR, 2022)

AI and Pathology: Steering Treatment and Predicting Outcomes. - Rajarsi Gupta 001; Jakub Kaczmarzyk; Soma Kobayashi; Tahsin M. Kurç; Joel H. Saltz (CoRR, 2022)

Topology-Guided Multi-Class Cell Context Generation for Digital Pathology. - Shahira Abousamra; Rajarsi Gupta 001; Tahsin M. Kurç; Dimitris Samaras; Joel H. Saltz; Chao Chen 012 (CVPR, 2023)

ViT-DAE: Transformer-Driven Diffusion Autoencoder for Histopathology Image Analysis. - Xuan Xu; Saarthak Kapse; Rajarsi Gupta 001; Prateek Prasanna (DGM4MICCAI, 2023)

Few Shot Hematopoietic Cell Classification. - Vu Nguyen 004; Prantik Howlader; Le Hou; Dimitris Samaras; Rajarsi R. Gupta; Joel H. Saltz (MIDL, 2023)

Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images. - Shahira Abousamra; Danielle Fassler; Jiachen Yao; Rajarsi R. Gupta; Tahsin M. Kurç; Luisa F. Escobar-Hoyos; Dimitris Samaras; Kenneth Shroyer; Joel H. Saltz; Chao Chen 012 (MIDL, 2023)

Halcyon - A Pathology Imaging and Feature analysis and Management System. - Erich Bremer; Tammy DiPrima; Joseph Balsamo; Jonas S. Almeida; Rajarsi Gupta 001; Joel H. Saltz (CoRR, 2023)

Open and reusable deep learning for pathology with WSInfer and QuPath. - Jakub R. Kaczmarzyk; Alan O'Callaghan; Fiona Inglis; Tahsin M. Kurç; Rajarsi Gupta 001; Erich Bremer; Peter Bankhead; Joel H. Saltz (CoRR, 2023)

ChampKit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification. - Jakub R. Kaczmarzyk; Rajarsi Gupta 001; Tahsin M. Kurç; Shahira Abousamra; Joel H. Saltz; Peter K. Koo (Comput. Methods Programs Biomed., 2023)

Pan-Cancer Tumor Infiltrating Lymphocyte Detection based on Federated Learning. - Ujjwal Baid; Sarthak Pati; Tahsin M. Kurç; Rajarsi Gupta 001; Erich Bremer; Shahira Abousamra; Siddhesh P. Thakur; Joel H. Saltz; Spyridon Bakas (IEEE Big Data, 2024)

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. - Saarthak Kapse; Pushpak Pati; Srijan Das; Jingwei Zhang; Chao Chen 012; Maria Vakalopoulou; Joel H. Saltz; Dimitris Samaras; Rajarsi R. Gupta; Prateek Prasanna (CVPR, 2024)

Uncertainty Estimation for Tumor Prediction with Unlabeled Data. - Juyoung Yun; Shahira Abousamra; Chen Li 045; Rajarsi Gupta 001; Tahsin M. Kurç; Dimitris Samaras; Alison L. Van Dyke; Joel H. Saltz; Chao Chen 012 (CVPR Workshops, 2024)

∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions. - Minh-Quan Le; Alexandros Graikos; Srikar Yellapragada; Rajarsi Gupta 001; Joel H. Saltz; Dimitris Samaras (ECCV (32), 2024)

Decoding the Visual Attention of Pathologists to Reveal Their Level of Expertise. - Souradeep Chakraborty; Rajarsi Gupta 001; Oksana Yaskiv; Constantin Friedman; Natallia Sheuka; Dana Perez; Paul Friedman; Gregory J. Zelinsky; Joel H. Saltz; Dimitris Samaras (MICCAI (3), 2024)

Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning. - Saarthak Kapse; Srijan Das; Jingwei Zhang; Rajarsi R. Gupta; Joel H. Saltz; Dimitris Samaras; Prateek Prasanna (Medical Image Anal., 2024)

Multi-Scale Feature Alignment for Continual Learning of Unlabeled Domains. - Kevin Thandiackal; Luigi Piccinelli; Rajarsi Gupta 001; Pushpak Pati; Orcun Goksel (IEEE Trans. Medical Imaging, 2024)

ZoomLDM: Latent Diffusion Model for Multi-scale Image Generation. - Srikar Yellapragada; Alexandros Graikos; Kostas Triaridis; Prateek Prasanna; Rajarsi Gupta 001; Joel H. Saltz; Dimitris Samaras (CVPR, 2025)

GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology. - Saarthak Kapse; Pushpak Pati; Srikar Yellapragada; Srijan Das; Rajarsi R. Gupta; Joel H. Saltz; Dimitris Samaras; Prateek Prasanna (CoRR, 2025)

PixCell: A generative foundation model for digital histopathology images. - Srikar Yellapragada; Alexandros Graikos; Zilinghan Li; Kostas Triaridis; Varun Belagali; Saarthak Kapse; Tarak Nath Nandi; Ravi K. Madduri; Prateek Prasanna; Tahsin M. Kurç; Rajarsi R. Gupta; Joel H. Saltz; et al. (CoRR, 2025)