Analysis of COVID-19 pandemic and forecasting using machine learning models. - Ekansh Chauhan; Manpreet Sirswal; Deepak Gupta 002; Ashish Khanna; Aditya Khamparia (Int. J. Comput. Appl. Technol., 2021)

LRH-Net: A Multi-level Knowledge Distillation Approach for Low-Resource Heart Network. - Ekansh Chauhan; Swathi Guptha; Likith Reddy; Raju S. Bapi (DeCaF/FAIR@MICCAI, 2022)

Lupus Nephritis Subtype Classification with only Slide Level Labels. - Amit Sharma; Ekansh Chauhan; Megha S. Uppin; Liza Rajasekhar; C. V. Jawahar; P. K. Vinod (MIDL, 2024)

Multiple Instance Learning for Glioma Diagnosis using Hematoxylin and Eosin Whole Slide Images: An Indian Cohort Study. - Ekansh Chauhan; Amit Sharma; Megha S. Uppin; C. V. Jawahar; P. K. Vinod (CoRR, 2024)

Contrasting Low and High-Resolution Features for HER2 Scoring using Deep Learning. - Ekansh Chauhan; Anila Sharma; Amit Sharma; Vikas Nishadham; Asha Ghughtyal; Ankur Kumar; Gurudutt Gupta; Anurag Mehta; C. V. Jawahar; P. K. Vinod (CoRR, 2025)