Offline handwritten word recognition in Hindi. - Ramachandrula Sitaram; Shrang Jain; Hariharan Ravishankar (DAR@ICVGIP, 2012)

An early respiratory distress detection method with Markov models. - Hariharan Ravishankar; Aditya Saha; Gokul Swamy; Sahika Genc (EMBC, 2014)

Recursive feature elimination for biomarker discovery in resting-state functional connectivity. - Hariharan Ravishankar; Radhika Madhavan; Rakesh Mullick; Teena Shetty; Luca Marinelli; Suresh E. Joel (EMBC, 2016)

Hybrid approach for automatic segmentation of fetal abdomen from ultrasound images using deep learning. - Hariharan Ravishankar; Sahana M. Prabhu; Vivek Vaidya 001; Nitin Singhal (ISBI, 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 001 (LABELS/DLMIA@MICCAI, 2016)

Filter sharing: Efficient learning of parameters for volumetric convolutions. - Rahul Venkataramani; Sheshadri Thiruvenkadam; Prasad Sudhakar; Hariharan Ravishankar; Vivek Vaidya 001 (CoRR, 2016)

Joint Deep Learning of Foreground, Background and Shape for Robust Contextual Segmentation. - Hariharan Ravishankar; Sheshadri Thiruvenkadam; Rahul Venkataramani; Vivek Vaidya 001 (IPMI, 2017)

Learning and Incorporating Shape Models for Semantic Segmentation. - Hariharan Ravishankar; Rahul Venkataramani; Sheshadri Thiruvenkadam; Prasad Sudhakar; Vivek Vaidya 001 (MICCAI (1), 2017)

Towards Continuous Domain adaptation for Healthcare. - Rahul Venkataramani; Hariharan Ravishankar; Saihareesh Anamandra (CoRR, 2018)

Towards Continuous Domain Adaptation For Medical Imaging. - Rahul Venkataramani; Hariharan Ravishankar; Saihareesh Anamandra (ISBI, 2019)

Feature Transformers: Privacy Preserving Lifelong Learners for Medical Imaging. - Hariharan Ravishankar; Rahul Venkataramani; Saihareesh Anamandra; Prasad Sudhakar; Pavan Annangi (MICCAI (4), 2019)

Towards Generalization of Medical Imaging AI Models: Sharpness-Aware Minimizers and Beyond. - Deepa Anand; Rohan Patil; Utkarsh Agrawal; Rahul Venkataramani; Hariharan Ravishankar; Prasad Sudhakar (ISBI, 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 (UNSURE@MICCAI, 2022)

SonoSAM - Segment Anything on Ultrasound Images. - Hariharan Ravishankar; Rohan Patil; Vikram Melapudi; Pavan Annangi (ASMUS@MICCAI, 2023)

SonoSAM - Segment Anything on Ultrasound Images. - Hariharan Ravishankar; Rohan Patil; Vikram Melapudi; Parminder Bhatia; Taha A. Kass-Hout; Pavan Annangi (CoRR, 2023)

TTA-FM: Patient-Specific Test-Time Adaptation Using Foundation Models for Improved Prostate Segmentation in Magnetic Resonance Images. - Hariharan Ravishankar; Prasad Sudhakar; Phaneendra K. Yalavarthy (ISBI, 2024)

Inference Time Adaptation for Improved Retinal Disease Diagnosis Using Optical Coherence Tomography Images. - Hariharan Ravishankar; Naveen Paluru; Prasad Sudhakar; Phaneendra K. Yalavarthy (ISBI, 2025)

UATTA-QSM: Uncertainty-Aware Test Time Adaptation for Improved Quantitative Susceptibility Mapping. - Hariharan Ravishankar; Naveen Paluru; Prasad Sudhakar; Phaneendra K. Yalavarthy (ISBI, 2025)

Information Geometric Approaches for Patient-Specific Test-Time Adaptation of Deep Learning Models for Semantic Segmentation. - Hariharan Ravishankar; Naveen Paluru; Prasad Sudhakar; Phaneendra K. Yalavarthy (IEEE Trans. Medical Imaging, 2025)