Rahul Venkataramani

18 papers A 1Journal 5Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
Robust Input Feature Attribution Maps for Deep Neural Networks.
iMIMIC@MICCAI
Rachana Sathish, Rahul Venkataramani
2024 A conf
Causal Feature Alignment: Learning to Ignore Spurious Background Features.
WACV
Rahul Venkataramani, Parag Dutta, Vikram Melapudi, Ambedkar Dukkipati
2024 — conf
Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation.
DEMI@MICCAI
Krishan Agyakari Raja Babu, Rachana Sathish, Mrunal Pattanaik, Rahul Venkataramani
2024 J jnl
Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation.
CoRR
Krishan Agyakari Raja Babu, Rachana Sathish, Mrunal Pattanaik, Rahul Venkataramani
2023 — conf
Task-Driven Prompt Evolution for Foundation Models.
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar
2023 J jnl
Task-driven Prompt Evolution for Foundation Models.
CoRR
Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar
2022 — conf
Stochastic Weight Perturbations Along the Hessian: A Plug-and-Play Method to Compute Uncertainty.
UNSURE@MICCAI
Hariharan Ravishankar, Rohan Patil, Deepa Anand, Vanika Singhal, Utkarsh Agrawal, Rahul Venkataramani, Prasad Sudhakar
2022 — conf
Towards Generalization of Medical Imaging AI Models: Sharpness-Aware Minimizers and Beyond.
ISBI
Deepa Anand, Rohan Patil, Utkarsh Agrawal, Rahul Venkataramani, Hariharan Ravishankar, Prasad Sudhakar
2019 — conf
Feature Transformers: Privacy Preserving Lifelong Learners for Medical Imaging.
MICCAI (4)
Hariharan Ravishankar, Rahul Venkataramani, Saihareesh Anamandra, Prasad Sudhakar, Pavan Annangi
2019 — conf
Towards Continuous Domain Adaptation For Medical Imaging.
ISBI
Rahul Venkataramani, Hariharan Ravishankar, Saihareesh Anamandra
2018 J jnl
Towards Continuous Domain adaptation for Healthcare.
CoRR
Rahul Venkataramani, Hariharan Ravishankar, Saihareesh Anamandra
2017 — conf
Joint Deep Learning of Foreground, Background and Shape for Robust Contextual Segmentation.
IPMI
Hariharan Ravishankar, Sheshadri Thiruvenkadam, Rahul Venkataramani, Vivek Vaidya
2017 — conf
Learning and Incorporating Shape Models for Semantic Segmentation.
MICCAI (1)
Hariharan Ravishankar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Vivek Vaidya
2017 J jnl
Understanding the Mechanisms of Deep Transfer Learning for Medical Images.
CoRR
Hariharan Ravishankar, Prasad Sudhakar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Pavan Annangi, Narayanan Babu, Vivek Vaidya
2016 J jnl
Filter sharing: Efficient learning of parameters for volumetric convolutions.
CoRR
Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Hariharan Ravishankar, Vivek Vaidya
2016 — conf
Understanding the Mechanisms of Deep Transfer Learning for Medical Images.
LABELS/DLMIA@MICCAI
Hariharan Ravishankar, Prasad Sudhakar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Pavan Annangi, Narayanan Babu, Vivek Vaidya
2013 — conf
Discovery of technical expertise from open source code repositories.
WWW (Companion Volume)
Rahul Venkataramani, Atul Gupta, Allahbaksh M. Asadullah, Basavaraju Muddu, Vasudev D. Bhat
2013 — conf
Latent Co-development Analysis Based Semantic Search for Large Code Repositories.
ICSM
Rahul Venkataramani, Allahbaksh M. Asadullah, Vasudev D. Bhat, Basavaraju Muddu