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ORCIDRahul Venkataramani
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2020 – today
- 2024
[c13]Krishan Agyakari Raja Babu
, Rachana Sathish, Mrunal Pattanaik, Rahul Venkataramani:
Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation. DEMI@MICCAI 2024: 64-72- [c12]Rahul Venkataramani, Parag Dutta, Vikram Melapudi, Ambedkar Dukkipati:
Causal Feature Alignment: Learning to Ignore Spurious Background Features. WACV 2024: 4654-4662 - [i5]Krishan Agyakari Raja Babu, Rachana Sathish, Mrunal Pattanaik, Rahul Venkataramani:
Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation. CoRR abs/2407.21674 (2024) - 2023
- [c11]Asif M. S, Gayathri Malamal, Madhavanunni A N, Vikram Melapudi, Rahul V, Abhijit Patil, Rajesh Langoju, Mahesh Raveendranatha Panicker:
Fast Marching based Tissue Adaptive Delay Estimation for Aberration Corrected Delay and Sum Beamforming in Ultrasound Imaging. EMBC 2023: 1-4 - [c10]Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar:
Task-Driven Prompt Evolution for Foundation Models. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 256-264 - [i4]Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar:
Task-driven Prompt Evolution for Foundation Models. CoRR abs/2310.17128 (2023) - 2022
- [c9]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: 1-5 - [c8]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: 80-88
2010 – 2019
- 2019
- [c7]Rahul Venkataramani, Hariharan Ravishankar, Saihareesh Anamandra:
Towards Continuous Domain Adaptation For Medical Imaging. ISBI 2019: 443-446 - [c6]Hariharan Ravishankar, Rahul Venkataramani, Saihareesh Anamandra, Prasad Sudhakar, Pavan Annangi:
Feature Transformers: Privacy Preserving Lifelong Learners for Medical Imaging. MICCAI (4) 2019: 347-355 - 2018
- [i3]Rahul Venkataramani, Hariharan Ravishankar, Saihareesh Anamandra:
Towards Continuous Domain adaptation for Healthcare. CoRR abs/1812.01281 (2018) - 2017
- [c5]Hariharan Ravishankar, Sheshadri Thiruvenkadam, Rahul Venkataramani, Vivek Vaidya:
Joint Deep Learning of Foreground, Background and Shape for Robust Contextual Segmentation. IPMI 2017: 622-632 - [c4]Hariharan Ravishankar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Vivek Vaidya:
Learning and Incorporating Shape Models for Semantic Segmentation. MICCAI (1) 2017: 203-211 - [i2]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 abs/1704.06040 (2017) - 2016
- [c3]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: 188-196 - [i1]Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Hariharan Ravishankar, Vivek Vaidya:
Filter sharing: Efficient learning of parameters for volumetric convolutions. CoRR abs/1612.02575 (2016) - 2013
- [c2]Rahul Venkataramani, Allahbaksh M. Asadullah, Vasudev D. Bhat, Basavaraju Muddu:
Latent Co-development Analysis Based Semantic Search for Large Code Repositories. ICSM 2013: 372-375 - [c1]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: 97-98
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