Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications. - Sahar Almahfouz Nasser; Shashwat Pathak; Keshav Singhal; Mohit Meena; Nihar Gupte; Ananya Chinmaya; Prateek Garg; Amit Sethi (CoRR, 2023)

Utilizing Radiomic Features for Automated MRI Keypoint Detection: Enhancing Graph Applications. - Sahar Almahfouz Nasser; Shashwat Pathak; Keshav Singhal; Mohit Meena; Nihar Gupte; Ananya Chinmaya; Prateek Garg; Amit Sethi (BIOSTEC (1), 2024)

Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data. - Sahar Almahfouz Nasser; Nihar Gupte; Amit Sethi (WACV, 2024)

Real-time gravitational-wave inference for binary neutron stars using machine learning. - Maximilian Dax; Stephen R. Green; Jonathan Gair; Nihar Gupte; Michael Pürrer; Vivien Raymond; Jonas Wildberger; Jakob H. Macke; Alessandra Buonanno; Bernhard Schölkopf (CoRR, 2024)

Deep Learning-Based Cosmetic Evaluation of Breast Cancer Conservative Treatment. - Nihar Gupte; Ananya Chinmaya; Tanmay Jain; Sanket Potdar; Shreya Rane; Arushi Kawale; Naseera Syeda; Nimisha Sharma; Tabassum Wadasadawala; Amit Sethi (ISBI, 2025)

Real-time inference for binary neutron star mergers using machine learning. - Maximilian Dax; Stephen R. Green; Jonathan Gair; Nihar Gupte; Michael Pürrer; Vivien Raymond; Jonas Wildberger; Jakob H. Macke; Alessandra Buonanno; Bernhard Schölkopf (Nat., 2025)