Yan Wen

Yan Wen

Cornell University

H-index: 11

North America-United States

About Yan Wen

Yan Wen, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at Cornell University, specializes in the field of MRI.

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

Optimized 3D brachial plexus MR neurography using deep learning reconstruction

Improved 3D DESS MR neurography of the lumbosacral plexus with deep learning and geometric image combination reconstruction

mcTFI QSM MRI ABC/2 intracranial hemorrhage to noncontrast head CT volume measurement equivalence

System and method of accurate quantitative mapping of biophysical parameters from mri data

System and method of robust quantitative susceptibility mapping

Deep-learning-reconstructed high-resolution 3D cervical spine MRI for foraminal stenosis evaluation

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

The central vein sign in multiple sclerosis lesions: Susceptibility relaxation optimization from a routine MRI multiecho gradient echo sequence

Yan Wen Information

University

Position

___

Citations(all)

293

Citations(since 2020)

237

Cited By

103

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Yan Wen Skills & Research Interests

MRI

Top articles of Yan Wen

Optimized 3D brachial plexus MR neurography using deep learning reconstruction

Skeletal Radiology

2024/4

Improved 3D DESS MR neurography of the lumbosacral plexus with deep learning and geometric image combination reconstruction

Skeletal Radiology

2024/2/22

Yan Wen
Yan Wen

H-Index: 5

mcTFI QSM MRI ABC/2 intracranial hemorrhage to noncontrast head CT volume measurement equivalence

Journal of the Neurological Sciences

2024/1/15

System and method of accurate quantitative mapping of biophysical parameters from mri data

2023/10/12

System and method of robust quantitative susceptibility mapping

2023/5/25

Deep-learning-reconstructed high-resolution 3D cervical spine MRI for foraminal stenosis evaluation

Skeletal Radiology

2023/4

Meghan Jardon
Meghan Jardon

H-Index: 2

Yan Wen
Yan Wen

H-Index: 5

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

Magnetic resonance in medicine

2022/3

The central vein sign in multiple sclerosis lesions: Susceptibility relaxation optimization from a routine MRI multiecho gradient echo sequence

Journal of Neuroimaging

2022/1

Quantitative susceptibility mapping for staging acute cerebral hemorrhages: comparing the conventional and multiecho complex total field inversion magnetic resonance imaging MR …

Journal of Magnetic Resonance Imaging

2021/12

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

Magnetic resonance in medicine

2021/10

Quantitative susceptibility mapping improves the detection of calcified carotid vessels by multi-contrast MRI using computed tomography angiography as the reference standard

medRxiv

2021/7/8

Quantitative susceptibility mapping of carotid plaques using nonlinear total field inversion: Initial experience in patients with significant carotid stenosis

Magnetic Resonance in Medicine

2020/9

Noninvasive Cardiac Chamber Blood Oxygenation Measurements: T2 and QSM approaches.

Proc. Intl. Soc. Mag. Reson. Med

2020

Improved signal modeling in Quantitative Susceptibility Mapping using multi-echo complex Total Field Inversion (mcTFI)

Proc. Intl. Soc. Mag. Reson. Med

2020

Methods for Quantitative Susceptibility Mapping and Its Application to Cardiovascular MRI

2020

Yan Wen
Yan Wen

H-Index: 5

Automated adaptive preconditioner for quantitative susceptibility mapping

Magnetic resonance in medicine

2020/1

See List of Professors in Yan Wen University(Cornell University)