Rahul Venkataramani

According to our database, Rahul Venkataramani authored at least 15 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Causal Feature Alignment: Learning to Ignore Spurious Background Features.

Rahul Venkataramani, Parag Dutta, Vikram Melapudi, Ambedkar Dukkipati

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation.

Krishan Agyakari Raja Babu, Rachana Sathish, Mrunal Pattanaik, Rahul Venkataramani

Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024

2023

Task-Driven Prompt Evolution for Foundation Models.

Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

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

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

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

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

Towards Generalization of Medical Imaging AI Models: Sharpness-Aware Minimizers and Beyond.

Deepa Anand, Rohan Patil, Utkarsh Agrawal, Rahul Venkataramani, Hariharan Ravishankar, Prasad Sudhakar

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2019

Feature Transformers: Privacy Preserving Lifelong Learners for Medical Imaging.

Hariharan Ravishankar, Rahul Venkataramani, Saihareesh Anamandra, Prasad Sudhakar, Pavan Annangi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Towards Continuous Domain Adaptation For Medical Imaging.

Rahul Venkataramani, Hariharan Ravishankar, Saihareesh Anamandra

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Towards Continuous Domain adaptation for Healthcare.

Rahul Venkataramani, Hariharan Ravishankar, Saihareesh Anamandra

CoRR, 2018

2017

Learning and Incorporating Shape Models for Semantic Segmentation.

Hariharan Ravishankar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Vivek Vaidya

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Joint Deep Learning of Foreground, Background and Shape for Robust Contextual Segmentation.

Hariharan Ravishankar, Sheshadri Thiruvenkadam, Rahul Venkataramani, Vivek Vaidya

Proceedings of the Information Processing in Medical Imaging, 2017

2016

Filter sharing: Efficient learning of parameters for volumetric convolutions.

Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Hariharan Ravishankar, Vivek Vaidya

CoRR, 2016

Understanding the Mechanisms of Deep Transfer Learning for Medical Images.

Hariharan Ravishankar, Prasad Sudhakar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Pavan Annangi, Narayanan Babu, Vivek Vaidya

Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

2013

Discovery of technical expertise from open source code repositories.

Rahul Venkataramani, Atul Gupta, Allahbaksh M. Asadullah, Basavaraju Muddu, Vasudev D. Bhat

Proceedings of the 22nd International World Wide Web Conference, 2013

Latent Co-development Analysis Based Semantic Search for Large Code Repositories.

Rahul Venkataramani, Allahbaksh M. Asadullah, Vasudev D. Bhat, Basavaraju Muddu

Proceedings of the 2013 IEEE International Conference on Software Maintenance, 2013