Greg Zaharchuk

Greg Zaharchuk

Stanford University

H-index: 69

North America-United States

About Greg Zaharchuk

Greg Zaharchuk, With an exceptional h-index of 69 and a recent h-index of 50 (since 2020), a distinguished researcher at Stanford University, specializes in the field of MRI PET AI deep learning neuroradiology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Imaging the ‘Dis-Connectome’: Using Resting-State fMRI to Study Perfusion and Connectivity Deficits in Patients with Cerebrovascular Disease

Contrast dose reduction for medical imaging using deep learning

Recommended Resting-State fMRI Acquisition and Preprocessing Steps for Preoperative Mapping of Language and Motor and Visual Areas in Adult and Pediatric Patients with Brain …

Can Imaging Neuroinflammation with PET/MRI Help Us Put Out Brain Fires?

Early-Frame [18F] Florbetaben PET/MRI for Cerebral Blood Flow Quantification in Patients with Cognitive Impairment: Comparison to an [15O] Water Gold Standard

Predicting FDG‐PET images from multi‐contrast MRI using deep learning in patients with brain neoplasms

Random expert sampling for deep learning segmentation of acute ischemic stroke on non-contrast CT

A Clinical and Imaging Fused Deep Learning Model Matches Expert Clinician Prediction of 90-Day Stroke Outcomes

Greg Zaharchuk Information

University

Position

___

Citations(all)

24052

Citations(since 2020)

15951

Cited By

13846

hIndex(all)

69

hIndex(since 2020)

50

i10Index(all)

202

i10Index(since 2020)

177

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Greg Zaharchuk Skills & Research Interests

MRI PET AI deep learning neuroradiology

Top articles of Greg Zaharchuk

Title

Journal

Author(s)

Publication Date

Imaging the ‘Dis-Connectome’: Using Resting-State fMRI to Study Perfusion and Connectivity Deficits in Patients with Cerebrovascular Disease

Proc. Intl. Soc. Mag. Reson. Med

Thomas Christen

Hesamoddin Jahanian

Wendy Wei Ni

Deqiang Qiu

Michael E Moseley

...

2028

Contrast dose reduction for medical imaging using deep learning

2024/3/19

Recommended Resting-State fMRI Acquisition and Preprocessing Steps for Preoperative Mapping of Language and Motor and Visual Areas in Adult and Pediatric Patients with Brain …

American Journal of Neuroradiology

VA Kumar

J Lee

H-L Liu

JW Allen

CG Filippi

...

2024/2/1

Can Imaging Neuroinflammation with PET/MRI Help Us Put Out Brain Fires?

Greg Zaharchuk

2024/3/5

Early-Frame [18F] Florbetaben PET/MRI for Cerebral Blood Flow Quantification in Patients with Cognitive Impairment: Comparison to an [15O] Water Gold Standard

Journal of Nuclear Medicine

Ates Fettahoglu

Moss Zhao

Mehdi Khalighi

Hillary Vossler

Maria Jovin

...

2024/2/1

Predicting FDG‐PET images from multi‐contrast MRI using deep learning in patients with brain neoplasms

Journal of Magnetic Resonance Imaging

Jiahong Ouyang

Kevin T Chen

Rui Duarte Armindo

Guido Alejandro Davidzon

Kristina Elizabeth Hawk

...

2024/3

Random expert sampling for deep learning segmentation of acute ischemic stroke on non-contrast CT

Journal of NeuroInterventional Surgery

Sophie Ostmeier

Brian Axelrod

Yongkai Liu

Yannan Yu

Bin Jiang

...

2024/2/1

A Clinical and Imaging Fused Deep Learning Model Matches Expert Clinician Prediction of 90-Day Stroke Outcomes

American Journal of Neuroradiology

Yongkai Liu

Preya Shah

Yannan Yu

Jai Horsey

Jiahong Ouyang

...

2024/2/8

System and method for synthesizing magnetic resonance images

2024/1/23

Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder–decoder networks

Medical Image Analysis

Ramy Hussein

David Shin

Moss Y Zhao

Jia Guo

Guido Davidzon

...

2024/4/1

Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment

BMC Medical Informatics and Decision Making

Salmonn Talebi

Elizabeth Tong

Anna Li

Ghiam Yamin

Greg Zaharchuk

...

2024/2/7

Measuring Quantitative Cerebral Blood Flow in Healthy Children: A Systematic Review of Neuroimaging Techniques

Moss Y Zhao

Elizabeth Tong

Rui Duarte Armindo

Amanda Woodward

Kristen W Yeom

...

2024/1

Short‐and Long‐Term MRI Assessed Hemodynamic Changes in Pediatric Moyamoya Patients After Revascularization

Journal of Magnetic Resonance Imaging

Moss Y Zhao

Elizabeth Tong

Rui Duarte Armindo

Ates Fettahoglu

Jason Choi

...

2024/4

NEIM-14 PET/MRI DETECTS A RAPID DECREASE IN CEREBRAL BLOOD FLOW IN GLIOBLASTOMA FOLLOWING BEVACIZUMAB INFUSION

Neuro-Oncology Advances

Serena Thaw-Poon

Greg Zaharchuk

Daniel Spielman

Lawrence Recht

Zachary Corbin

2023/8

Generative Adversarial Network–Enhanced Ultra-Low-Dose [18F]-PI-2620 τ PET/MRI in Aging and Neurodegenerative Populations

American Journal of Neuroradiology

KT Chen

R Tesfay

MEI Koran

J Ouyang

S Shams

...

2023/9/1

One model to synthesize them all: Multi-contrast multi-scale transformer for missing data imputation

IEEE Transactions on Medical Imaging

Jiang Liu

Srivathsa Pasumarthi

Ben Duffy

Enhao Gong

Keshav Datta

...

2023/3/24

Clinical applications of resting-state fMRI

Rui Duarte Armindo

Greg Zaharchuk

2023/1/1

Automated detection of arterial landmarks and vascular occlusions in patients with acute stroke receiving digital subtraction angiography using deep learning

Journal of NeuroInterventional Surgery

Jui Khankari

Yannan Yu

Jiahong Ouyang

Ramy Hussein

Huy M Do

...

2023/6/1

International EANM-SNMMI-ISMRM consensus recommendation for PET/MRI in oncology

European journal of nuclear medicine and molecular imaging

Patrick Veit-Haibach

Håkan Ahlström

Ronald Boellaard

Roberto C Delgado Bolton

Swen Hesse

...

2023/10

Ethical considerations and fairness in the use of artificial intelligence for neuroradiology

CG Filippi

JM Stein

Z Wang

S Bakas

Y Liu

...

2023/11/1

See List of Professors in Greg Zaharchuk University(Stanford University)