Latent Co-development Analysis Based Semantic Search for Large Code Repositories. - Rahul Venkataramani; Allahbaksh M. Asadullah; Vasudev D. Bhat; Basavaraju Muddu (ICSM, 2013)

Discovery of technical expertise from open source code repositories. - Rahul Venkataramani; Atul Gupta; Allahbaksh M. Asadullah; Basavaraju Muddu; Vasudev D. Bhat (WWW (Companion Volume), 2013)

Understanding the Mechanisms of Deep Transfer Learning for Medical Images. - Hariharan Ravishankar; Prasad Sudhakar; Rahul Venkataramani; Sheshadri Thiruvenkadam; Pavan Annangi; Narayanan Babu; Vivek Vaidya 001 (LABELS/DLMIA@MICCAI, 2016)

Filter sharing: Efficient learning of parameters for volumetric convolutions. - Rahul Venkataramani; Sheshadri Thiruvenkadam; Prasad Sudhakar; Hariharan Ravishankar; Vivek Vaidya 001 (CoRR, 2016)

Joint Deep Learning of Foreground, Background and Shape for Robust Contextual Segmentation. - Hariharan Ravishankar; Sheshadri Thiruvenkadam; Rahul Venkataramani; Vivek Vaidya 001 (IPMI, 2017)

Learning and Incorporating Shape Models for Semantic Segmentation. - Hariharan Ravishankar; Rahul Venkataramani; Sheshadri Thiruvenkadam; Prasad Sudhakar; Vivek Vaidya 001 (MICCAI (1), 2017)

Towards Continuous Domain adaptation for Healthcare. - Rahul Venkataramani; Hariharan Ravishankar; Saihareesh Anamandra (CoRR, 2018)

Towards Continuous Domain Adaptation For Medical Imaging. - Rahul Venkataramani; Hariharan Ravishankar; Saihareesh Anamandra (ISBI, 2019)

Feature Transformers: Privacy Preserving Lifelong Learners for Medical Imaging. - Hariharan Ravishankar; Rahul Venkataramani; Saihareesh Anamandra; Prasad Sudhakar; Pavan Annangi (MICCAI (4), 2019)

Towards Generalization of Medical Imaging AI Models: Sharpness-Aware Minimizers and Beyond. - Deepa Anand; Rohan Patil; Utkarsh Agrawal; Rahul Venkataramani; Hariharan Ravishankar; Prasad Sudhakar (ISBI, 2022)

Stochastic Weight Perturbations Along the Hessian: A Plug-and-Play Method to Compute Uncertainty. - Hariharan Ravishankar; Rohan Patil; Deepa Anand; Vanika Singhal; Utkarsh Agrawal; Rahul Venkataramani; Prasad Sudhakar (UNSURE@MICCAI, 2022)

Fast Marching based Tissue Adaptive Delay Estimation for Aberration Corrected Delay and Sum Beamforming in Ultrasound Imaging. - Asif M. S; Gayathri Malamal; Madhavanunni A N; Vikram Melapudi; Rahul V; Abhijit Patil; Rajesh Langoju; Mahesh Raveendranatha Panicker (EMBC, 2023)

Task-Driven Prompt Evolution for Foundation Models. - Rachana Sathish; Rahul Venkataramani; K. S. Shriram; Prasad Sudhakar (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation. - Krishan Agyakari Raja Babu; Rachana Sathish; Mrunal Pattanaik; Rahul Venkataramani (DEMI@MICCAI, 2024)

Causal Feature Alignment: Learning to Ignore Spurious Background Features. - Rahul Venkataramani; Parag Dutta; Vikram Melapudi; Ambedkar Dukkipati (WACV, 2024)

Synthetic Data for Assessing Robustness of Deep Learning Models to Distributional Shifts. - Rahul V; Rachana Sathish; Mrunal Pattanaik; Krishan Agyakari Raja Babu (ISBI, 2025)