Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare. - Manish Gawali; C. S. Arvind; Shriya Suryavanshi; Harshit Madaan; Ashrika Gaikwad; K. N. Bhanu Prakash; Viraj Kulkarni; Aniruddha Pant (MIUA, 2021)

Deep Learning Models for Calculation of Cardiothoracic Ratio from Chest Radiographs for Assisted Diagnosis of Cardiomegaly. - Tanveer Gupte; Mrunmai Niljikar; Manish Gawali; Viraj Kulkarni; Amit Kharat; Aniruddha Pant (CoRR, 2021)

Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice. - Viraj Kulkarni; Manish Gawali; Amit Kharat (CoRR, 2021)

Vulnerability Due to Training Order in Split Learning. - Harshit Madaan; Manish Gawali; Viraj Kulkarni; Aniruddha Pant (CoRR, 2021)

A deep learning approach for automated diagnosis of pulmonary embolism on computed tomographic pulmonary angiography. - Pranav Ajmera; Amit Kharat; Jitesh Seth; Snehal Rathi; Richa Pant; Manish Gawali; Viraj Kulkarni; Ragamayi Maramraju; Isha Kedia; Rajesh Botchu; Sanjay Khaladkar (BMC Medical Imaging, 2022)

Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model. - Amartya Bhattacharya; Manish Gawali; Jitesh Seth; Viraj Kulkarni (CoRR, 2022)

SETLEXSEM CHALLENGE: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models. - Nicholas A. Dronen; Bardiya Akhbari; Manish Gawali (NeurIPS, 2024)