Akhil Kondepudi

Akhil Kondepudi

MD/PhD (MSTP) Candidate
University of Michigan Medical School
Computational Medicine & Bioinformatics
Machine Learning in Neurosurgery Lab

LinkedIn · GitHub · CV

I'm an MD/PhD candidate at the University of Michigan and a member of the Machine Learning in Neurosurgery Lab, advised by Dr. Todd Hollon. I develop deep learning methods for translational medicine and biomedical discovery, with a focus on clinical neuroimaging and neurosurgical disease. My PhD research includes first-author work on FastGlioma (Nature, 2025) and NeuroVFM (Nature Medicine, 2026).

Selected Research

A complete list of publications can be found here. First-author publications are highlighted. * denotes equal contribution.

Figure from Health system learning enables generalist neuroimaging models
Health system learning enables generalist neuroimaging models
Akhil Kondepudi, Akshay Rao, Chenhui Zhao, Yiwei Lyu, Samir Harake, …, Ashok Srinivasan, Vikas Gulani, Honglak Lee, Todd Hollon
Nature Medicine | 2026
paper · demo · arxiv · code · models
Figure from Foundation models for fast, label-free detection of glioma infiltration
Foundation models for fast, label-free detection of glioma infiltration
Akhil Kondepudi, Melike Pekmezci, Xinhai Hou, Katie Scotford, Cheng Jiang, …, Honglak Lee, Christian Freudiger, Mitchel Berger, Shawn Hervey-Jumper, Todd Hollon
Nature | 2025
demo · paper · code · models · press
Figure from Learning complete and explainable visual representations from itemized text supervision
Learning complete and explainable visual representations from itemized text supervision
Yiwei Lyu, Chenhui Zhao, Soumyanil Banerjee, Shixuan Liu, Akshay Rao, Akhil Kondepudi, Honglak Lee, Todd C. Hollon
CVPR | 2026
paper · arxiv
Figure from Towards scalable language-image pre-training for 3D medical imaging
Towards scalable language-image pre-training for 3D medical imaging
Chenhui Zhao, Yiwei Lyu, Asadur Chowdury, Edward Harake, Akhil Kondepudi, Akshay Rao, Xinhai Hou, Honglak Lee, Todd C. Hollon
Transactions on Machine Learning Research | 2026
paper · arxiv
Figure from Learning neuroimaging models from health system-scale data
Learning neuroimaging models from health system-scale data
Yiwei Lyu*, Samir Harake*, Asadur Chowdury*, …, Akhil Kondepudi, Cheng Jiang, Xinhai Hou, …, Honglak Lee, Todd Hollon
Nature Biomedical Engineering | 2026
paper · press
Figure from Super-resolution of biomedical volumes with 2D supervision
Super-resolution of biomedical volumes with 2D supervision
Cheng Jiang*, Alexander Gedeon*, Yiwei Lyu, Eric Landgraf, Yufeng Zhang, Xinhai Hou, Akhil Kondepudi, Asadur Chowdury, Honglak Lee, Todd C. Hollon
IEEE Workshop on Computer Vision for Microscopy Image Analysis at CVPR | 2024
project · arxiv · code · poster
Figure from Hierarchical discriminative learning improves visual representations of biomedical microscopy
Hierarchical discriminative learning improves visual representations of biomedical microscopy
Cheng Jiang*, Xinhai Hou*, Akhil Kondepudi, Asadur Chowdury, Christian W. Freudiger, Daniel A. Orringer, Honglak Lee, Todd C. Hollon
CVPR (Highlight) | 2023
project · paper · arxiv · code
Figure from Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging
Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging
Todd Hollon, Cheng Jiang, Asadur Chowdury, Mustafa Nasir-Moin, Akhil Kondepudi, Alexander Aabedi, Arjun Adapa, …, Christian Freudiger, Honglak Lee, Daniel Orringer
Nature Medicine | 2023
project · paper · arxiv · code · press
Figure from Concentration of non-myocyte proteins in arterial media of cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy
Concentration of non-myocyte proteins in arterial media of cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy
Soo Jung Lee, Akhil Kondepudi, Kelly Z. Young, Xiaojie Zhang, Naw May Pearl Cartee, Jijun Chen, Krystal Yujin Jang, Gang Xu, Jimo Borjigin, Michael M. Wang
PLOS ONE | 2023
paper
Figure from OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology
OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology
Cheng Jiang*, Asadur Chowdury*, Xinhai Hou*, Akhil Kondepudi, Christian W. Freudiger, Kyle Conway, Sandra Camelo-Piragua, Daniel A. Orringer, Honglak Lee, Todd C. Hollon
NeurIPS Datasets & Benchmarks | 2022
paper · arxiv · code
Figure from Development and Evaluation of a Natural Language Processing Annotation Tool to Facilitate Phenotyping of Cognitive Status in Electronic Health Records: Diagnostic Study
Development and Evaluation of a Natural Language Processing Annotation Tool to Facilitate Phenotyping of Cognitive Status in Electronic Health Records: Diagnostic Study
Ayush Noori*, Colin Magdamo*, Xiao Liu, Tanish Tyagi, Zhaozhi Li, Akhil Kondepudi, Haitham Alabsi, …, M Brandon Westover, Shibani S Mukerji, Sudeshna Das
JMIR | 2022
paper
Figure from Rapid Automated Analysis of Skull Base Tumor Specimens Using Intraoperative Optical Imaging and Artificial Intelligence
Rapid Automated Analysis of Skull Base Tumor Specimens Using Intraoperative Optical Imaging and Artificial Intelligence
Cheng Jiang, Abhishek Bhattacharya, Joseph Linzey, Rushikesh S. Joshi, Sung Jik Cha, Sudharsan Srinivasan, Daniel Alber, Akhil Kondepudi, …, Honglak Lee, Todd Hollon
Neurosurgery (Cover) | 2022
paper · arxiv