2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation. - Jay Patravali; Shubham Jain; Sasank Chilamkurthy (STACOM@MICCAI, 2017)

Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans. - Sasank Chilamkurthy; Rohit Ghosh; Swetha Tanamala; Mustafa Biviji; Norbert G. Campeau; Vasantha Kumar Venugopal; Vidur Mahajan; Pooja Rao; Prashant Warier (CoRR, 2018)

PyTorch: An Imperative Style, High-Performance Deep Learning Library. - Adam Paszke; Sam Gross; Francisco Massa; Adam Lerer; James Bradbury; Gregory Chanan; Trevor Killeen; Zeming Lin; Natalia Gimelshein; Luca Antiga; Alban Desmaison; Andreas Köpf; et al. (NeurIPS, 2019)

Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity Measurement. - Ujjwal Upadhyay; Mukul Ranjan; Satish Golla; Swetha Tanamala; Preetham Sreenivas; Sasank Chilamkurthy; Jeyaraj Pandian; Jason Tarpley (ECCV Workshops (3), 2022)

Mind the Clot: Automated LVO Detection on CTA using Deep Learning. - Shubham Kumar; Arjun Agarwal; Satish Golla; Swetha Tanamala; Ujjwal Upadhyay; Subhankar Chattoraj; Preetham Putha; Sasank Chilamkurthy (ICCV (Workshops), 2023)

C-lisp and Flexible Macro Programming with S-expressions. - Vedanth Padmaraman; Sasank Chilamkurthy (CoRR, 2024)