Hariharan Ravishankar

According to our database, Hariharan Ravishankar authored at least 15 papers between 2012 and 2023.

Collaborative distances:

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

2023

SonoSAM - Segment Anything on Ultrasound Images.

Hariharan Ravishankar, Rohan Patil, Vikram Melapudi, Parminder Bhatia, Taha A. Kass-Hout, Pavan Annangi

CoRR, 2023

SonoSAM - Segment Anything on Ultrasound Images.

Hariharan Ravishankar, Rohan Patil, Vikram Melapudi, Pavan Annangi

Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 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

Hybrid approach for automatic segmentation of fetal abdomen from ultrasound images using deep learning.

Hariharan Ravishankar, Sahana M. Prabhu, Vivek Vaidya, Nitin Singhal

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Recursive feature elimination for biomarker discovery in resting-state functional connectivity.

Hariharan Ravishankar, Radhika Madhavan, Rakesh Mullick, Teena Shetty, Luca Marinelli, Suresh E. Joel

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2014

An early respiratory distress detection method with Markov models.

Hariharan Ravishankar, Aditya Saha, Gokul Swamy, Sahika Genc

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2012

Offline handwritten word recognition in Hindi.

Ramachandrula Sitaram, Shrang Jain, Hariharan Ravishankar

Proceedings of the Proceeding of the workshop on Document Analysis and Recognition, 2012