Rajarsi Gupta

According to our database, Rajarsi Gupta authored at least 36 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Scale Feature Alignment for Continual Learning of Unlabeled Domains.

Kevin Thandiackal, Luigi Piccinelli, Rajarsi Gupta, Pushpak Pati, Orcun Goksel

IEEE Trans. Medical Imaging, July, 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

∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions.

Minh-Quan Le, Alexandros Graikos, Srikar Yellapragada, Rajarsi Gupta, Joel H. Saltz, Dimitris Samaras

CoRR, 2024

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 Friedman, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Uncertainty Estimation for Tumor Prediction with Unlabeled Data.

Juyoung Yun, Shahira Abousamra, Chen Li, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Alison L. Van Dyke, Joel H. Saltz, Chao Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

ChampKit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification.

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

Comput. Methods Programs Biomed., September, 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, Erich Bremer, Peter Bankhead, Joel H. Saltz

CoRR, 2023

Halcyon - A Pathology Imaging and Feature analysis and Management System.

Erich Bremer, Tammy DiPrima, Joseph Balsamo, Jonas S. Almeida, Rajarsi Gupta, Joel H. Saltz

CoRR, 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

Proceedings of the Medical Imaging with Deep Learning, 2023

Few Shot Hematopoietic Cell Classification.

Vu Nguyen, Prantik Howlader, Le Hou, Dimitris Samaras, Rajarsi R. Gupta, Joel H. Saltz

Proceedings of the Medical Imaging with Deep Learning, 2023

ViT-DAE: Transformer-Driven Diffusion Autoencoder for Histopathology Image Analysis.

Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

AI and Pathology: Steering Treatment and Predicting Outcomes.

Rajarsi Gupta, Jakub Kaczmarzyk, Soma Kobayashi, Tahsin M. Kurç, Joel H. Saltz

CoRR, 2022

Evaluating histopathology transfer learning with ChampKit.

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

CoRR, 2022

Federated Learning for the Classification of Tumor Infiltrating Lymphocytes.

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

CoRR, 2022

Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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 Yee, Felicia Allard, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 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, Prateek Prasanna

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

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

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

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Multi-Class Cell Detection Using Spatial Context Representation.

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification.

Jingwei Zhang, Ke Ma, John S. Van Arnam, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types.

Le Hou, Rajarsi Gupta, John S. Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Dimitris Samaras, Tahsin M. Kurç, Joel H. Saltz

CoRR, 2020

Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images.

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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer.

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

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images.

Le Hou, Vu Nguyen, Ariel B. Kanevsky, Dimitris Samaras, Tahsin M. Kurç, Tianhao Zhao, Rajarsi R. Gupta, Yi Gao, Wenjin Chen, David J. Foran, Joel H. Saltz

Pattern Recognit., 2019

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

Shahira Abousamra, Le Hou, Rajarsi R. Gupta, Chao Chen, Dimitris Samaras, Tahsin M. Kurç, Rebecca Batiste, Tianhao Zhao, 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, Erich Bremer, Jonas S. Almeida, Joel H. Saltz

CoRR, 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

Pancreatic Cancer Detection in Whole Slide Images Using Noisy Label Annotations.

Han Le, Dimitris Samaras, Tahsin M. Kurç, Rajarsi Gupta, Kenneth Shroyer, Joel H. Saltz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Delivering Scalable Deep Learning to Research with Bridges-AI.

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

Proceedings of the High Performance Computing - 6th Latin American Conference, 2019

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

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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

Disease phenotyping using deep learning: A diabetes case study.

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

CoRR, 2018

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, Nasir M. Rajpoot, Joel H. Saltz

CoRR, 2018

2017

Unsupervised Histopathology Image Synthesis.

Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M. Kurç, Rajarsi R. Gupta, Joel H. Saltz

CoRR, 2017