Rahul Venkataramani

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 14

Top Topics

Transfer Learning

Privacy Preserving

Domain Adaptation

Semantic Segmentation

Top Venues

LABELS/DLMIA@MICCAI

Publications

Krishan Agyakari Raja Babu, Rachana Sathish, Mrunal Pattanaik, Rahul Venkataramani
Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation. CoRR (2024)
Rahul Venkataramani, Parag Dutta, Vikram Melapudi, Ambedkar Dukkipati
Causal Feature Alignment: Learning to Ignore Spurious Background Features. WACV (2024)
Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar
Task-driven Prompt Evolution for Foundation Models. CoRR (2023)
Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar
Task-Driven Prompt Evolution for Foundation Models. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Deepa Anand, Rohan Patil, Utkarsh Agrawal, Rahul Venkataramani, Hariharan Ravishankar, Prasad Sudhakar
Towards Generalization of Medical Imaging AI Models: Sharpness-Aware Minimizers and Beyond. ISBI (2022)
Hariharan Ravishankar, Rohan Patil, Deepa Anand, Vanika Singhal, Utkarsh Agrawal, Rahul Venkataramani, Prasad Sudhakar
Stochastic Weight Perturbations Along the Hessian: A Plug-and-Play Method to Compute Uncertainty. UNSURE@MICCAI (2022)
Hariharan Ravishankar, Rahul Venkataramani, Saihareesh Anamandra, Prasad Sudhakar, Pavan Annangi
Feature Transformers: Privacy Preserving Lifelong Learners for Medical Imaging. MICCAI (4) (2019)
Rahul Venkataramani, Hariharan Ravishankar, Saihareesh Anamandra
Towards Continuous Domain Adaptation For Medical Imaging. ISBI (2019)
Rahul Venkataramani, Hariharan Ravishankar, Saihareesh Anamandra
Towards Continuous Domain adaptation for Healthcare. CoRR (2018)
Hariharan Ravishankar, Prasad Sudhakar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Pavan Annangi, Narayanan Babu, Vivek Vaidya
Understanding the Mechanisms of Deep Transfer Learning for Medical Images. CoRR (2017)
Hariharan Ravishankar, Sheshadri Thiruvenkadam, Rahul Venkataramani, Vivek Vaidya
Joint Deep Learning of Foreground, Background and Shape for Robust Contextual Segmentation. IPMI (2017)
Hariharan Ravishankar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Vivek Vaidya
Learning and Incorporating Shape Models for Semantic Segmentation. MICCAI (1) (2017)
Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Hariharan Ravishankar, Vivek Vaidya
Filter sharing: Efficient learning of parameters for volumetric convolutions. CoRR (2016)
Hariharan Ravishankar, Prasad Sudhakar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Pavan Annangi, Narayanan Babu, Vivek Vaidya
Understanding the Mechanisms of Deep Transfer Learning for Medical Images. LABELS/DLMIA@MICCAI (2016)
Rahul Venkataramani, Atul Gupta, Allahbaksh M. Asadullah, Basavaraju Muddu, Vasudev D. Bhat
Discovery of technical expertise from open source code repositories. WWW (Companion Volume) (2013)
Rahul Venkataramani, Allahbaksh M. Asadullah, Vasudev D. Bhat, Basavaraju Muddu
Latent Co-development Analysis Based Semantic Search for Large Code Repositories. ICSM (2013)