Publications

Peer-reviewed papers, preprints and edited volumes. For ongoing work and areas of interest, see Research. A full record is on Google Scholar.

Stress-testing the safety of ambient AI clinical documentation in high-volume multilingual specialty care

Naren Akash et al.

2026

MeDxAgent: Multi-Agent Consultation for Interactive Medical Diagnosis

Akshat Sanghvi, Naren Akash, Raza Imam, Amit Sharma and Mohit Jain

Under review  Prospective clinical deployment ongoing

X2V: Deformable 2D/3D Registration from Intraoperative X-ray to Volume via Motion Manifold Learning

Siddharth Mangipudi, Naren Akash and P J Narayanan

Medical Image Computing and Computer Assisted Intervention (MICCAI) 2026 - Thoracic Image Analysis, Strasbourg, France  Oral presentation

Do Medical Vision Models Reason About Anatomy? Probing the Spatial Inductive Biases of Learned Visual Representations

Naren Akash and Neeraja Ramanan

Medical Image Computing and Computer Assisted Intervention (MICCAI) 2026 - Mechanistic Interpretability for Medical Foundation Models, Strasbourg, France

Can Ambient AI Documentation Withstand a Real-World Stress Test in High-Volume Multilingual Practice? Safety Signals and the Deployment Envelope

Naren Akash, Prateek Pareek, Gnapika Chowdary, Krutali Khokhar, Muzzammil, Juhi Rais, Naveen Reddy, Rakesh Kalapala, Kinjal Saxena and Duvvur Nageshwar Reddy

Symposium on Artificial Intelligence in Learning Health Systems (SAIL) 2026, Puerto Rico, USA

2025

Phase-informed tool segmentation

Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery

Bhuvan Sachdeva*, Naren Akash*, Tajamul Ashraf, Simon Mueller, Thomas Schultz, Maximilian W. M. Wintergerst, Niharika Singri Prasad, Kaushik Murali and Mohit Jain  (* joint first authors)

Medical Image Computing and Computer Assisted Intervention (MICCAI) 2025, Daejeon, South Korea

Anatomy-aware hierarchical graph transformer

Anatomy-Aware Hierarchical Graph Transformer for Multi-Disease Classification in Chest Computed Tomography

Naren Akash, Rudransh Agarwal and Jayanthi Sivaswamy

Under review

SynBADD longitudinal image imputation

SynBADD: Longitudinal Medical Image Imputation via Synthetic Bidirectional Anatomy-Guided Diffeomorphic Deformations

Anirudh Kaushik, Naren Akash and Jayanthi Sivaswamy

Journal paper under review

2024

2023

MelDD differential diagnosis of melanoma

Evidence Driven Differential Diagnosis of Malignant Melanoma

Naren Akash, Anirudh Kaushik and Jayanthi Sivaswamy

Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023 - ISIC Skin Image Analysis, Vancouver, Canada  Oral presentation

2022

Size bias in subcortical structure segmentation

A Method to Remove Size Bias in Sub-cortical Structure Segmentation

Mythri Venkatesh*, Alphin Thottupattu*, Naren Akash and Jayanthi Sivaswamy  (* joint first authors)

IEEE International Symposium on Biomedical Imaging (ISBI) 2022, Kolkata, India

Medical Image Computing and Computer Assisted Intervention – MICCAI 2025 Doctoral Symposium

Springer LNCS volume editors: Naren Akash, Nourhan Bayasi and Amar Kumar

28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2025

EMERGE 2025 proceedings cover

Empowering Medical Image Computing and Research Through Early-Career Expertise — Second MICCAI Student Board Workshop, EMERGE 2025

Springer LNCS volume editors: Naren Akash, Cosmin Bercea and Amar Kumar

28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2025

EMERGE 2024 proceedings cover

Medical Information Computing — First MICCAI Meets Africa Workshop, MImA 2024, and First MICCAI Student Board Workshop, EMERGE 2024

Springer CCIS volume editors: Udunna Anazodo, Naren Akash, Moritz Fuchs, Celia Cintas, Alessandro Crimi, Tinahse Mutsvangwa, Farouk Dako and Willam Ogallo

27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2024