Saarthak Kapse

33 papers A* 2Journal 20Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
SuperDiff: A diffusion super-resolution method for digital pathology with comprehensive quality assessment.
Medical Image Anal.
Xuan Xu, Saarthak Kapse, Prateek Prasanna
2025 J jnl
Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing.
CoRR
Saarthak Kapse, Robin Betz, Srinivasan Sivanandan
2025 J jnl
GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology.
CoRR
Saarthak Kapse, Pushpak Pati, Srikar Yellapragada, Srijan Das, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras, Prateek Prasanna
2025 J jnl
PEaRL: Pathway-Enhanced Representation Learning for Gene and Pathway Expression Prediction from Histology.
CoRR
Sejuti Majumder, Saarthak Kapse, Moinak Bhattacharya, Xuan Xu, Alisa Yurovsky, Prateek Prasanna
2025 J jnl
PixCell: A generative foundation model for digital histopathology images.
CoRR
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, Dimitris Samaras
2025 J jnl
TICON: A Slide-Level Tile Contextualizer for Histopathology Representation Learning.
CoRR
Varun Belagali, Saarthak Kapse, Pierre Marza, Srijan Das, Zilinghan Li, Sofiène Boutaj, Pushpak Pati, Srikar Yellapragada, Tarak Nath Nandi, Ravi K. Madduri, Joel H. Saltz, Prateek Prasanna, Stergios Christodoulidis, Maria Vakalopoulou, Dimitris Samaras
2024 J jnl
Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning.
Medical Image Anal.
Saarthak Kapse, Srijan Das, Jingwei Zhang, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras, Prateek Prasanna
2024 — conf
Coca-Mil: Attention-Based Handcrafted-Deep Feature Fusion in Computational Pathology.
ISBI
Paras Goel, Saarthak Kapse, Pushpak Pati, Prateek Prasanna
2024 J jnl
Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning.
CoRR
Varun Belagali, Srikar Yellapragada, Alexandros Graikos, Saarthak Kapse, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras
2024 J jnl
Histo-Diffusion: A Diffusion Super-Resolution Method for Digital Pathology with Comprehensive Quality Assessment.
CoRR
Xuan Xu, Saarthak Kapse, Prateek Prasanna
2024 — conf
HoG-Net: Hierarchical Multi-organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images.
MICCAI (5)
Joseph Bae, Saarthak Kapse, Lei Zhou, Kartik Mani, Prateek Prasanna
2024 A* conf
Learned Representation-Guided Diffusion Models for Large-Image Generation.
CVPR
Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras
2024 J jnl
RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency.
CoRR
Wentao Huang, Meilong Xu, Xiaoling Hu, Shahira Abousamra, Aniruddha Ganguly, Saarthak Kapse, Alisa Yurovsky, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Michael L. Miller, Chao Chen
2024 A* conf
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology.
CVPR
Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna
2023 J jnl
Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning.
CoRR
Saarthak Kapse, Srijan Das, Jingwei Zhang, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras, Prateek Prasanna
2023 — conf
CD-Net: Histopathology Representation Learning Using Context-Detail Transformer Network.
ISBI
Saarthak Kapse, Srijan Das, Prateek Prasanna
2023 J jnl
Learned representation-guided diffusion models for large-image generation.
CoRR
Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras
2023 — conf
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology.
IPMI
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras
2023 J jnl
Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning.
CoRR
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
2023 — conf
Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning.
MICCAI (8)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
2023 — conf
Role of stain normalization in computational pathology: use case in metastatic tissue classification.
Digital and Computational Pathology
Paras Goel, Saarthak Kapse, Prateek Prasanna
2023 — conf
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology.
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras
2023 J jnl
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology.
CoRR
Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras
2023 J jnl
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology.
CoRR
Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna
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
CD-Net: Histopathology Representation Learning using Pyramidal Context-Detail Network.
CoRR
Saarthak Kapse, Srijan Das, Prateek Prasanna
2022 J jnl
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology.
CoRR
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, 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
2021 — conf
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer.
IPMI
Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen
2021 J jnl
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer.
CoRR
Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen
2020 J jnl
Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study.
CoRR
Joseph Bae, Saarthak Kapse, Gagandeep Singh, Tej Phatak, Jeremy Green, Nikhil Madan, Prateek Prasanna