Junghun Cho

Assistant Professor

University at Buffalo - North Campus

United States

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Junghun Cho is an Assistant Professor at the University at Buffalo - North Campus in the United States. His research focuses on cerebral oxygen extraction fraction mapping, particularly in relation to brain health and diseases such as systemic lupus erythematosus and multiple sclerosis. He has published several articles exploring the relationship between brain structure, oxygenation, and metabolism, utilizing advanced imaging techniques such as MRI-based methods and deep learning approaches.

Articles (14)

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2025

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2021

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2021

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2021

Collaborators (2)

Yi Wang

Weill Cornell Medical College

UNITED STATES

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Pascal Spincemaille

Associate Professor of Physics Research in Radiology

Weill Cornell Medical College

UNITED STATES

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Junghun Cho

Research Interests

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Articles (14)

Evaluation of MRI-based brain oxygen extraction fraction mapping in patients with systemic lupus erythematosus

The changes of oxygen extraction fraction in different types of lesions in relapsing–remitting multiple sclerosis: A cross-sectional and longitudinal study

Multi-Echo Complex Quantitative Susceptibility Mapping and Quantitative Blood Oxygen Level-Dependent Magnitude (mcQSM + qBOLD or mcQQ) for Oxygen Extraction Fraction (OEF) Mapping

Trajectories and sex differences of brain structure, oxygenation and perfusion functions in normal aging

Assessing Cerebral Oxygen Metabolism Changes in Patients With Preeclampsia Using Voxel-Based Morphometry of Oxygen Extraction Fraction Maps in Magnetic Resonance Imaging

Brain oxygen extraction fraction mapping in patients with multiple sclerosis

Subsecond accurate myelin water fraction reconstruction from FAST‐T2 data with 3D UNET

Oxygen extraction fraction (OEF) assesses cerebral oxygen metabolism of deep gray matter in patients with pre-eclampsia

QQ‐NET – using deep learning to solve quantitative susceptibility mapping and quantitative blood oxygen level dependent magnitude (QSM+qBOLD or QQ) based oxygen extraction fraction (OEF) mapping

Temporal clustering, tissue composition, and total variation for mapping oxygen extraction fraction using QSM and quantitative BOLD

Multiecho complex total field inversion method (mcTFI) for improved signal modeling in quantitative susceptibility mapping

Cerebral oxygen extraction fraction (OEF): Comparison of challenge-free gradient echo QSM+qBOLD (QQ) with 15O PET in healthy adults

Deep neural network for water/fat separation: Supervised training, unsupervised training, and no training

Cerebral oxygen extraction fraction: Comparison of dual‐gas challenge calibrated BOLD with CBF and challenge‐free gradient echo QSM+qBOLD

Collaborators (2)

Yi Wang

Pascal Spincemaille

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