Saarthak Kapse

According to our database, Saarthak Kapse authored at least 12 papers between 2020 and 2023.

Collaborative distances:

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

2023

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

CoRR, 2023

Learned representation-guided diffusion models for large-image generation.

Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras

CoRR, 2023

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

CoRR, 2023

SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology.

Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning.

Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

CD-Net: Histopathology Representation Learning Using Context-Detail Transformer Network.

Saarthak Kapse, Srijan Das, Prateek Prasanna

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology.

Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras

Proceedings of the Information Processing in Medical Imaging, 2023

2022

CD-Net: Histopathology Representation Learning using Pyramidal Context-Detail Network.

Saarthak Kapse, Srijan Das, Prateek Prasanna

CoRR, 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

2021

TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer.

Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen

Proceedings of the Information Processing in Medical Imaging, 2021

2020

Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study.

Joseph Bae, Saarthak Kapse, Gagandeep Singh, Tej Phatak, Jeremy Green, Nikhil Madan, Prateek Prasanna

CoRR, 2020