HMC: A Hybrid Reinforcement Learning Based Model Compression for Healthcare Applications. - Ravi Soni; Jiahui Guan; Gopal Avinash; V. Ratna Saripalli (CASE, 2019)

D3MC: A Reinforcement Learning Based Data-Driven Dyna Model Compression. - Jiahui Guan; Ravi Soni; Dibyajyoti Pati; Gopal Avinash; V. Ratna Saripalli (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

A Generalized Approach to Determine Confident Samples for Deep Neural Networks on Unseen Data. - Min Zhang; Kevin H. Leung; Zili Ma; Jin Wen; Gopal Avinash (UNSURE/CLIP@MICCAI, 2019)

AI Assisted Annotator using Reinforcement Learning. - V. Ratna Saripalli; Gopal Avinash; Charles W. Anderson (CoRR, 2019)

FastEstimator: A Deep Learning Library for Fast Prototyping and Productization. - Xiaomeng Dong; Junpyo Hong; Hsi-Ming Chang; Michael Potter; Aritra Chowdhury; Purujit Bahl; Vivek Soni; Yun-Chan Tsai; Rajesh Tamada; Gaurav Kumar; Caroline Favart; V. Ratna Saripalli; et al. (CoRR, 2019)

AI-Assisted Annotator Using Reinforcement Learning. - V. Ratna Saripalli; Dibyajyoti Pati; Michael Potter; Gopal Avinash; Charles W. Anderson (SN Comput. Sci., 2020)

Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19. - Tao Tan; Bipul Das; Ravi Soni; Mate Fejes; Sohan Ranjan; Daniel Attila Szabo; Vikram Melapudi; K. S. Shriram; Utkarsh Agrawal; László Ruskó; Zita Herczeg; Barbara Darázs; et al. (MICCAI (7), 2021)

Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists. - Tao Tan; Bipul Das; Ravi Soni; Mate Fejes; Hongxu Yang; Sohan Ranjan; Daniel Attila Szabo; Vikram Melapudi; K. S. Shriram; Utkarsh Agrawal; László Ruskó; Zita Herczeg; et al. (Neurocomputing, 2022)

Enhancing 3D Cardiac CT Segmentation with Latent Diffusion Model and Self-Supervised Learning. - Quanqi Hu; Ashok Vardhan Addala; Masaki Ikuta; Ravi Soni; Gopal Avinash (ML4H@NeurIPS, 2024)

CSG: A Context-Semantic Guided Diffusion Approach in De Novo Musculoskeletal Ultrasound Image Generation. - Elay Dahan; Hedda Cohen Indelman; Angeles M. Perez-Agosto; Carmit Shiran; Gopal Avinash; Doron Shaked; Nati Daniel (CoRR, 2024)

SynthFM: Training Modality-Agnostic Foundation Models for Medical Image Segmentation Without Real Medical Data. - Sourya Sengupta; Satrajit Chakrabarty; Keerthi Sravan Ravi; Gopal Avinash; Ravi Soni (ISBI, 2025)

MOSS: Learning from Multiple Organs Via Self-Supervision. - Mohammad Reza Hosseinzadeh Taher; Junpyo Hong; Ravi Soni; Gopal Avinash (ISBI, 2025)

Quality Enhancement of Radiographic X-ray Images by Interpretable Mapping. - Hongxu Yang; Najib Akram Aboobacker; Xiaomeng Dong; German Gonzalez; Lehel Ferenczi; Gopal Avinash (CoRR, 2025)

SAS: Segment Anything Small for Ultrasound - A Non-Generative Data Augmentation Technique for Robust Deep Learning in Ultrasound Imaging. - Danielle Lopes Ferreira; Ahana Gangopadhyay; Hsi-Ming Chang; Ravi Soni; Gopal Avinash (CoRR, 2025)