Rajarsi Gupta - RankMe

37 papers A* 3B 1Journal 18Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Label-Efficient Deep Color Deconvolution of Brightfield Multiplex IHC Images. IEEE Trans. Medical Imaging Shahira Abousamra, Danielle Fassler, Rajarsi Gupta, Tahsin Kurc, Luisa F. Escobar-Hoyos, Dimitris Samaras, Kenneth R. Shroyer, Joel H. Saltz, Chao Chen
2026	J	`jnl`	Measuring and predicting where and when pathologists focus their visual attention while grading whole slide images of cancer. Medical Image Anal. Souradeep Chakraborty, Ruoyu Xue, Rajarsi Gupta, Oksana Yaskiv, Constantin Friedman, Natallia Sheuka, Dana Perez, Paul Friedman, Won-Tak Choi, Waqas Mahmud, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras
2026	J	`jnl`	Towards interpretable prediction of recurrence risk in breast cancer using pathology foundation models. npj Digit. Medicine Jakub R. Kaczmarzyk, Sarah C. Van Alsten, Alyssa J. Cozzo, Rajarsi Gupta, Peter K. Koo, Melissa A. Troester, Katherine A. Hoadley, Joel H. Saltz
2025	A*	`conf`	ZoomLDM: Latent Diffusion Model for Multi-scale Image Generation. CVPR Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Prateek Prasanna, Rajarsi Gupta, Joel H. Saltz, Dimitris Samaras
2024	—	`conf`	Decoding the Visual Attention of Pathologists to Reveal Their Level of Expertise. MICCAI (3) Souradeep Chakraborty, Rajarsi Gupta, Oksana Yaskiv, Constantin Friedman, Natallia Sheuka, Dana Perez, Paul Friedman, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras
2024	J	`jnl`	Decoding the visual attention of pathologists to reveal their level of expertise. CoRR Souradeep Chakraborty, Dana Perez, Paul Friedman, Natallia Sheuka, Constantin Friedman, Oksana Yaskiv, Rajarsi Gupta, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras
2024	J	`jnl`	Multi-Scale Feature Alignment for Continual Learning of Unlabeled Domains. IEEE Trans. Medical Imaging Kevin Thandiackal, Luigi Piccinelli, Rajarsi Gupta, Pushpak Pati, Orcun Goksel
2024	B	`conf`	Pan-Cancer Tumor Infiltrating Lymphocyte Detection based on Federated Learning. IEEE Big Data Ujjwal Baid, Sarthak Pati, Tahsin M. Kurç, Rajarsi Gupta, Erich Bremer, Shahira Abousamra, Siddhesh P. Thakur, Joel H. Saltz, Spyridon Bakas
2024	—	`conf`	Uncertainty Estimation for Tumor Prediction with Unlabeled Data. CVPR Workshops Juyoung Yun, Shahira Abousamra, Chen Li, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Alison L. Van Dyke, Joel H. Saltz, Chao Chen
2024	—	`conf`	∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions. ECCV (32) Minh-Quan Le, Alexandros Graikos, Srikar Yellapragada, Rajarsi Gupta, Joel H. Saltz, Dimitris Samaras
2024	J	`jnl`	∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions. CoRR Minh-Quan Le, Alexandros Graikos, Srikar Yellapragada, Rajarsi Gupta, Joel H. Saltz, Dimitris Samaras
2023	J	`jnl`	ChampKit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification. Comput. Methods Programs Biomed. Jakub R. Kaczmarzyk, Rajarsi Gupta, Tahsin M. Kurç, Shahira Abousamra, Joel H. Saltz, Peter K. Koo
2023	J	`jnl`	Halcyon - A Pathology Imaging and Feature analysis and Management System. CoRR Erich Bremer, Tammy DiPrima, Joseph Balsamo, Jonas S. Almeida, Rajarsi Gupta, Joel H. Saltz
2023	J	`jnl`	Open and reusable deep learning for pathology with WSInfer and QuPath. CoRR Jakub R. Kaczmarzyk, Alan O'Callaghan, Fiona Inglis, Tahsin M. Kurç, Rajarsi Gupta, Erich Bremer, Peter Bankhead, Joel H. Saltz
2023	A*	`conf`	Topology-Guided Multi-Class Cell Context Generation for Digital Pathology. CVPR Shahira Abousamra, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
2023	J	`jnl`	Topology-Guided Multi-Class Cell Context Generation for Digital Pathology. CoRR Shahira Abousamra, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
2023	—	`conf`	ViT-DAE: Transformer-Driven Diffusion Autoencoder for Histopathology Image Analysis. DGM4MICCAI Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna
2023	J	`jnl`	ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis. CoRR Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna
2022	J	`jnl`	AI and Pathology: Steering Treatment and Predicting Outcomes. CoRR Rajarsi Gupta, Jakub Kaczmarzyk, Soma Kobayashi, Tahsin M. Kurç, Joel H. Saltz
2022	J	`jnl`	Evaluating histopathology transfer learning with ChampKit. CoRR Jakub R. Kaczmarzyk, Tahsin M. Kurç, Shahira Abousamra, Rajarsi Gupta, Joel H. Saltz, Peter K. Koo
2022	J	`jnl`	Federated Learning for the Classification of Tumor Infiltrating Lymphocytes. CoRR Ujjwal Baid, Sarthak Pati, Tahsin M. Kurç, Rajarsi Gupta, Erich Bremer, Shahira Abousamra, Siddhesh P. Thakur, Joel H. Saltz, Spyridon Bakas
2022	—	`conf`	Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning. MICCAI (2) Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
2022	J	`jnl`	Gigapixel Whole-Slide Images Classification using Locally Supervised Learning. CoRR Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
2022	—	`conf`	Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer. MOVI@MICCAI Souradeep Chakraborty, Rajarsi Gupta, Ke Ma, Darshana Govind, Pinaki Sarder, Won-Tak Choi, Waqas Mahmud, Eric Yee, Felicia Allard, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras
2022	—	`conf`	Shape-based tumor microenvironment analysis to differentiate non-small cell lung cancer subtypes: a radio-pathomic study. Digital and Computational Pathology Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna
2022	—	`conf`	Subtype-Specific Spatial Descriptors of Tumor-Immune Microenvironment are Prognostic of Survival in Lung Adenocarcinoma. ISBI Saarthak Kapse, Luke Torre-Healy, Richard A. Moffitt, Rajarsi Gupta, Prateek Prasanna
2022	—	`conf`	Visual Attention Analysis Of Pathologists Examining Whole Slide Images Of Prostate Cancer. ISBI Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras
2022	J	`jnl`	Visual attention analysis of pathologists examining whole slide images of Prostate cancer. CoRR Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras
2021	—	`conf`	A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification. CVPR Workshops Jingwei Zhang, Ke Ma, John S. Van Arnam, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
2021	A*	`conf`	Multi-Class Cell Detection Using Spatial Context Representation. ICCV Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
2021	J	`jnl`	Multi-Class Cell Detection Using Spatial Context Representation. CoRR Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
2020	—	`conf`	Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer. ECCV Workshops (1) David Paredes, Prateek Prasanna, Christina Preece, Rajarsi Gupta, Farzad Fereidouni, Dimitris Samaras, Tahsin M. Kurç, Richard M. Levenson, Patricia Thompson-Carino, Joel H. Saltz, Chao Chen
2020	J	`jnl`	Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types. CoRR Le Hou, Rajarsi Gupta, John S. Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Dimitris Samaras, Tahsin M. Kurç, Joel H. Saltz
2020	—	`conf`	Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images. ISBI Shahira Abousamra, Danielle Fassler, Le Hou, Yuwei Zhang, Rajarsi Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Beatrice Knudson, Kenneth Shroyer, Joel H. Saltz, Chao Chen
2019	—	`conf`	Delivering Scalable Deep Learning to Research with Bridges-AI. CARLA Paola A. Buitrago, Nicholas A. Nystrom, Rajarsi Gupta, Joel H. Saltz
2019	—	`conf`	From Whole Slide Tissues to Knowledge: Mapping Sub-cellular Morphology of Cancer. BrainLes@MICCAI (2) Tahsin M. 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 H. Saltz
2019	—	`conf`	Pancreatic Cancer Detection in Whole Slide Images Using Noisy Label Annotations. MICCAI (1) Han Le, Dimitris Samaras, Tahsin M. Kurç, Rajarsi Gupta, Kenneth Shroyer, Joel H. Saltz