Wei-Tang Chang

About Wei-Tang Chang

Wei-Tang Chang, With an exceptional h-index of 15 and a recent h-index of 12 (since 2020), a distinguished researcher at University of North Carolina at Chapel Hill, specializes in the field of neuroimaging.

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

Methods and systems for functional magnetic resonance imaging with a zero echo time pulse-sequence

Optimal shrinkage denoising breaks the noise floor in high-resolution diffusion MRI

Enabling brain-wide mapping of directed functional connectivity at 3T via layer-dependent fMRI with draining-vein suppression

Methods, systems, and computer readable media for accelerating diffusion magnetic resonance imaging (MRI) acquisition via slice-interleaved diffusion encoding

Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding

Cross-layer balance of visuo-hippocampal functional connectivity is associated with episodic memory recognition accuracy

Dysfunction in nonsense-mediated decay, protein homeostasis, mitochondrial function, and brain connectivity in ALS-FUS mice with cognitive deficits

Noise mapping and removal in complex-valued multi-channel MRI via optimal shrinkage of singular values

Wei-Tang Chang Information

University

Position

___

Citations(all)

871

Citations(since 2020)

633

Cited By

450

hIndex(all)

15

hIndex(since 2020)

12

i10Index(all)

18

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Wei-Tang Chang Skills & Research Interests

neuroimaging

Top articles of Wei-Tang Chang

Methods and systems for functional magnetic resonance imaging with a zero echo time pulse-sequence

2024/4/16

Optimal shrinkage denoising breaks the noise floor in high-resolution diffusion MRI

Patterns

2024/4/12

Enabling brain-wide mapping of directed functional connectivity at 3T via layer-dependent fMRI with draining-vein suppression

bioRxiv

2023/10/29

Wei-Tang Chang
Wei-Tang Chang

H-Index: 11

Weili Lin
Weili Lin

H-Index: 58

Methods, systems, and computer readable media for accelerating diffusion magnetic resonance imaging (MRI) acquisition via slice-interleaved diffusion encoding

2022/10/11

Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding

Medical image analysis

2022/10/1

Cross-layer balance of visuo-hippocampal functional connectivity is associated with episodic memory recognition accuracy

2022/6/28

Dysfunction in nonsense-mediated decay, protein homeostasis, mitochondrial function, and brain connectivity in ALS-FUS mice with cognitive deficits

Acta neuropathologica communications

2021/12

Noise mapping and removal in complex-valued multi-channel MRI via optimal shrinkage of singular values

2021/9/21

Brainwide functional networks associated with anatomically-and functionally-defined hippocampal subfields using ultrahigh-resolution fMRI

Scientific Reports

2021/5/25

Image Reconstruction from Accelerated Slice-Interleaved Diffusion Encoding Data

2021

Navigator-free submillimeter diffusion imaging using multishot-encoded simultaneous multi-slice (MUSIUM)

arXiv preprint arXiv:2012.00664

2020/12/1

Erratum: Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction (IEEE Trans. Biomed. Eng.(2018) 66: 7 (2105-2114

IEEE Transactions on Biomedical Engineering

2020/9

Multifold acceleration of diffusion MRI via slice-interleaved diffusion encoding (SIDE)

arXiv preprint arXiv:2002.10908

2020/2/25

High-resolution 3D MR Fingerprinting using parallel imaging and deep learning

Neuroimage

2020/2/1

Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis

Neuroimage

2020/1/15

Globally optimized super-resolution of diffusion mri data via fiber continuity

2020

See List of Professors in Wei-Tang Chang University(University of North Carolina at Chapel Hill)