Greg Zaharchuk

Full Professor, Radiology, Stanford University

Joined

January 2025

Names

Greg Zaharchuk (Preferred)

Emails

****@stanford.edu (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Full Professor

Radiology, Stanford University (stanford.edu)

2006 – Present

Advisors, Relations & Conflicts

PhD Advisor

Bruce Rosen

1994 – 2000

Expertise

artificial intelligence

2015 – 2025

neuroradiology

2000 – 2025

medical imaging

1990 – 2025

Publications

COPE: Chain-Of-Thought Prediction Engine for Open-Source Large Language Model Based Stroke Outcome Prediction from Clinical Notes
Yongkai Liu, Helena Feng, Bin Jiang, Yixin Wang, Max Wintermark, David S. Liebeskind, Michael E. Moseley, Maarten G. Lansberg, Gregory W. Albers, Jeremy J. Heit, Greg Zaharchuk
- CoRR 2025
- Readers: Everyone
Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients
Jiaqi Wu, Jiahong Ouyang, Farshad Moradi, Mohammad Mehdi Khalighi, Greg Zaharchuk
- CoRR 2025
- Readers: Everyone
Staged and Physics-Grounded Learning Framework with Hyperintensity Prior for Pre-Contrast MRI Synthesis
Dayang Wang, Srivathsa Pasumarthi Venkata, Ajit Shankaranarayanan, Greg Zaharchuk
- ICML 2025 poster
- Readers: Everyone
Staged and Physics-Grounded Learning Framework with Hyperintensity Prior for Pre-Contrast MRI Synthesis
Dayang Wang, Srivathsa Pasumarthi, Ajit Shankaranarayanan, Greg Zaharchuk
- ICML 2025
- Readers: Everyone
Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment
Salmonn Talebi, Elizabeth Tong, Anna Li, Ghiam Yamin, Greg Zaharchuk, Mohammad R. K. Mofrad
- BMC Medical Informatics Decis. Mak. 2024
- Readers: Everyone
SOM2LM: Self-Organized Multi-Modal Longitudinal Maps
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl
- MICCAI (2) 2024
- Readers: Everyone
Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder-decoder networks
Ramy Hussein, David D. Shin, Moss Y. Zhao, Jia Guo, Guido A. Davidzon, Gary Steinberg, Michael E. Moseley, Greg Zaharchuk
- Medical Image Anal. 2024
- Readers: Everyone
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging
Sophie Ostmeier, Brian Axelrod, Fabian Isensee, Jeroen Bertels, Michael Mlynash, Soren Christensen, Maarten G. Lansberg, Gregory W. Albers, Rajen Sheth, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Li-Jia Li, Greg Zaharchuk, Jeremy J. Heit
- Medical Image Anal. 2023
- Readers: Everyone
One Model to Synthesize Them All: Multi-Contrast Multi-Scale Transformer for Missing Data Imputation
Jiang Liu, Srivathsa Pasumarthi, Ben A. Duffy, Enhao Gong, Keshav Datta, Greg Zaharchuk
- IEEE Trans. Medical Imaging 2023
- Readers: Everyone
Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT
Sophie Ostmeier, Brian Axelrod, Benjamin Pulli, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Yongkai Liu, Christian Federau, Greg Zaharchuk, Jeremy J. Heit
- CoRR 2023
- Readers: Everyone

View all 52 publications

Co-Authors

Abdelkader Mahammedi
Adam Brown
Adolf Pfefferbaum
Ajit Shankaranarayanan
Akshay S. Chaudhari
Andrea Otte
Anna Latysheva
Anna Li
Atle Bjørnerud
Audrey P. Fan
Ben A. Duffy
Benjamin F. J. Verhaaren
Benjamin Pulli
Benjamin Zahneisen
Berkin Bilgic
Bin Jiang
Bin Shen
Brian Axelrod
Brittney Williams
Cathrine Saxhaug
Christian Federau
Daniel L. Rubin
Dann Martin
Darvin Yi
Dave Van Veen

View all 131 co-authors