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Saarthak Kapse

ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis

Apr 03, 2023
Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna

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* Submitted to MICCAI 2023

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Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning

Mar 21, 2023
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel Saltz, Maria Vakalopoulou, Dimitris Samaras

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* Submitted to MICCAI 2023

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

Mar 28, 2022
Saarthak Kapse, Srijan Das, Prateek Prasanna

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* Submitted to MICCAI 2022

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

May 13, 2021
Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen

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* 12 pages, 5 figures, 2 tables, accepted to International Conference on Information Processing in Medical Imaging (IPMI) 2021

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

Jul 15, 2020
Joseph Bae, Saarthak Kapse, Gagandeep Singh, Tej Phatak, Jeremy Green, Nikhil Madan, Prateek Prasanna

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* Joseph Bae and Saarthak Kapse have contributed equally to this work. This manuscript has been submitted for consideration to _European Radiology_. 12 pages, 6 figures, 4 tables

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