Xiaohong Joe Zhou

Professor

University of Chicago

United States

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Dr. Xiaohong Joe Zhou is a Professor at the University of Illinois Chicago, USA. His research focuses on medical imaging techniques, particularly in relation to chronic kidney disease, brain structure, and functionality. He has contributed significantly to advancements in MRI methodologies and ethical considerations in medical research, as evidenced by his recent publications.

Articles (15)

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2025

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2024

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2024

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2023

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2023

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2023

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2023

Collaborators (5)

Candace C. Fleischer

UNITED STATES

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Linda Moy

Professor

New York University

UNITED STATES

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Peter Börnert

Leiden University Medical Center

NETHERLANDS

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Xiaodong Ma

Assistant Professor

University of Utah

UNITED STATES

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Tarique Hussain

UT Southwestern

UNITED STATES

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Xiaohong Joe Zhou

Research Interests

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Articles (15)

Physical function, functional capacity, cognition, and brain structure and function in older adults with chronic kidney disease (CKD)

Single‐shot multi‐b‐value (SSMb) diffusion‐weighted MRI using spin echo and stimulated echoes with variable flip angles

Fast 3D fMRI acquisition with high spatial resolutions over a reduced FOV

Simultaneous perfusion, diffusion, T2*, and T1 mapping with MR fingerprinting

Ethical Considerations for MRI Research in Human Subjects in the Era of Precision Medicine

Three‐dimensional echo‐shifted EPI with simultaneous blip‐up and blip‐down acquisitions for correcting geometric distortion

Accelerating High b-Value Diffusion-Weighted MRI Using a Convolutional Recurrent Neural Network (CRNN-DWI)

Editorial for “Brain‐Tumor Interface‐Based MRI Radiomics Models to Determine EGFR Mutation, Response to EGFR‐TKI and T790M Resistance Mutation in Non‐Small Cell Lung Carcinoma Brain Metastasis”

Multi‐readout DWI with a reduced FOV for studying the coupling between diffusion and T2* relaxation in the prostate

Optimal selection of b-values for differential diagnosis of mediastinal lymph nodes using diffusion-weighted imaging

Editorial for “Computed Diffusion‐Weighted Images of Rectal Cancer: Image Quality, Restaging, and Treatment Response After Neoadjuvant Therapy”

Time-dependent diffusion MRI using multiple stimulated echoes.

Characterization of breast lesions using multi-parametric diffusion MRI and machine learning

Comparison of uniform-density, variable-density, and dual-density spiral samplings for multi-shot DWI.

Quantitative tumor burden imaging parameters of the spleen at MRI for predicting treatment response in patients with acute leukemia

Collaborators (5)

Candace C. Fleischer

Linda Moy

Peter Börnert

Xiaodong Ma

Tarique Hussain

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