Hariharan Ravishankar

20 papers Journal 5Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Inference Time Adaptation for Improved Retinal Disease Diagnosis Using Optical Coherence Tomography Images. ISBI Hariharan Ravishankar, Naveen Paluru, Prasad Sudhakar, Phaneendra K. Yalavarthy
2025	J	`jnl`	Information Geometric Approaches for Patient-Specific Test-Time Adaptation of Deep Learning Models for Semantic Segmentation. IEEE Trans. Medical Imaging Hariharan Ravishankar, Naveen Paluru, Prasad Sudhakar, Phaneendra K. Yalavarthy
2025	—	`conf`	UATTA-QSM: Uncertainty-Aware Test Time Adaptation for Improved Quantitative Susceptibility Mapping. ISBI Hariharan Ravishankar, Naveen Paluru, Prasad Sudhakar, Phaneendra K. Yalavarthy
2024	—	`conf`	TTA-FM: Patient-Specific Test-Time Adaptation Using Foundation Models for Improved Prostate Segmentation in Magnetic Resonance Images. ISBI Hariharan Ravishankar, Prasad Sudhakar, Phaneendra K. Yalavarthy
2023	—	`conf`	SonoSAM - Segment Anything on Ultrasound Images. ASMUS@MICCAI Hariharan Ravishankar, Rohan Patil, Vikram Melapudi, Pavan Annangi
2023	J	`jnl`	SonoSAM - Segment Anything on Ultrasound Images. CoRR Hariharan Ravishankar, Rohan Patil, Vikram Melapudi, Parminder Bhatia, Taha A. Kass-Hout, Pavan Annangi
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`	Hybrid approach for automatic segmentation of fetal abdomen from ultrasound images using deep learning. ISBI Hariharan Ravishankar, Sahana M. Prabhu, Vivek Vaidya, Nitin Singhal
2016	—	`conf`	Recursive feature elimination for biomarker discovery in resting-state functional connectivity. EMBC Hariharan Ravishankar, Radhika Madhavan, Rakesh Mullick, Teena Shetty, Luca Marinelli, Suresh E. Joel
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
2014	—	`conf`	An early respiratory distress detection method with Markov models. EMBC Hariharan Ravishankar, Aditya Saha, Gokul Swamy, Sahika Genc
2012	—	`conf`	Offline handwritten word recognition in Hindi. DAR@ICVGIP Ramachandrula Sitaram, Shrang Jain, Hariharan Ravishankar