Saarthak Kapse

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Diffusion Model

Image Generation

Top Venues

Medical Image Anal.

Publications

Saarthak Kapse, Srijan Das, Jingwei Zhang, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras, Prateek Prasanna
Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning. Medical Image Anal. 93 (2024)
Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras
Learned representation-guided diffusion models for large-image generation. CoRR (2023)
Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna
ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis. CoRR (2023)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning. CoRR (2023)
Saarthak Kapse, Srijan Das, Jingwei Zhang, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras, Prateek Prasanna
Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning. CoRR (2023)
Saarthak Kapse, Srijan Das, Prateek Prasanna
CD-Net: Histopathology Representation Learning Using Context-Detail Transformer Network. ISBI (2023)
Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. CoRR (2023)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. IPMI (2023)
Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. CoRR (2023)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning. MICCAI (8) (2023)
Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna
ViT-DAE: Transformer-Driven Diffusion Autoencoder for Histopathology Image Analysis. DGM4MICCAI (2023)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. CoRR (2022)
Saarthak Kapse, Srijan Das, Prateek Prasanna
CD-Net: Histopathology Representation Learning using Pyramidal Context-Detail Network. CoRR (2022)
Saarthak Kapse, Luke Torre-Healy, Richard A. Moffitt, Rajarsi Gupta, Prateek Prasanna
Subtype-Specific Spatial Descriptors of Tumor-Immune Microenvironment are Prognostic of Survival in Lung Adenocarcinoma. ISBI (2022)
Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer. CoRR (2021)
Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer. IPMI (2021)
Joseph Bae, Saarthak Kapse, Gagandeep Singh, Tej Phatak, Jeremy Green, Nikhil Madan, Prateek Prasanna
Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study. CoRR (2020)