Jerry L. Prince

Jerry L. Prince

Johns Hopkins University

H-index: 84

North America-United States

About Jerry L. Prince

Jerry L. Prince, With an exceptional h-index of 84 and a recent h-index of 55 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Medical image analysis, biomedical image analysis, medical image computing, medical imaging, computer vision.

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

On finite difference jacobian computation in deformable image registration

Segmentation by deformable models

Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?

Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation

Retinal Ganglion Cell Loss Thresholds Predict Multimodal Visual Dysfunction Following Demyelinating Optic Neuritis (P1-6.018)

DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue

Image harmonization improves consistency of intra-rater delineations of MS lesions in heterogeneous MRI

Exploratory magnetic resonance elastography synthesis from magnetic resonance and diffusion tensor imaging

Jerry L. Prince Information

University

Position

Professor of Electrical and Computer Engineering

Citations(all)

43309

Citations(since 2020)

12736

Cited By

34880

hIndex(all)

84

hIndex(since 2020)

55

i10Index(all)

396

i10Index(since 2020)

217

Email

University Profile Page

Google Scholar

Jerry L. Prince Skills & Research Interests

Medical image analysis

biomedical image analysis

medical image computing

medical imaging

computer vision

Top articles of Jerry L. Prince

Title

Journal

Author(s)

Publication Date

On finite difference jacobian computation in deformable image registration

arXiv preprint arXiv:2212.06060

Yihao Liu

Junyu Chen

Shuwen Wei

Aaron Carass

Jerry Prince

2022/12/12

Segmentation by deformable models

Jerry L Prince

2024/1/1

Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?

arXiv preprint arXiv:2401.17571

Zhangxing Bian

Ahmed Alshareef

Shuwen Wei

Junyu Chen

Yuli Wang

...

2024/1/31

Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation

Jinwei Zhang

Lianrui Zuo

Blake E Dewey

Samuel W Remedios

Savannah P Hays

...

2024/4/2

Retinal Ganglion Cell Loss Thresholds Predict Multimodal Visual Dysfunction Following Demyelinating Optic Neuritis (P1-6.018)

Mustafa Subhi

Sargis Manukyan

Gabriela Zabala

Laura Locke

Brooke Guerrero

...

2024/4/14

DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue

Zhangxing Bian

Fangxu Xing

Jinglun Yu

Muhan Shao

Yihao Liu

...

2024/1/23

Image harmonization improves consistency of intra-rater delineations of MS lesions in heterogeneous MRI

Neuroimage: Reports

Aaron Carass

Danielle Greenman

Blake E Dewey

Peter A Calabresi

Jerry L Prince

...

2024/3/1

Exploratory magnetic resonance elastography synthesis from magnetic resonance and diffusion tensor imaging

Junyi Liu

Rendong Zhang

Aaron Carass

Curtis L Johnson

Jerry L Prince

...

2024/4/2

Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement

arXiv preprint arXiv:2401.03060

Ho Hin Lee

Adam M Saunders

Michael E Kim

Samuel W Remedios

Yucheng Tang

...

2024/1/5

Revisiting registration-based synthesis: A focus on unsupervised MR image synthesis

arXiv preprint arXiv:2402.12288

Savannah P Hays

Lianrui Zuo

Yihao Liu

Anqi Feng

Jiachen Zhuo

...

2024/2/19

Revisiting registration-based image synthesis: a focus on unsupervised MR image synthesis

Savannah P Hays

Lianrui Zuo

Yihao Liu

Anqi Feng

Jiachen Zhuo

...

2024/4/2

OCTA segmentation with limited training data using disentangled representation learning

Yihao Liu

Lianrui Zuo

Yufan He

Shuo Han

Jianqin Lei

...

2024/1/1

Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI

arXiv preprint arXiv:2402.06984

Xiaofeng Liu

Fangxu Xing

Jiachen Zhuo

Maureen Stone

Jerry L Prince

...

2024/2/10

Pushing the limits of zero-shot self-supervised super-resolution of anisotropic MR images

Samuel W Remedios

Shuwen Wei

Blake E Dewey

Aaron Carass

Dzung L Pham

...

2024/4/2

An overview of disentangled representation learning for MR image harmonization

Lianrui Zuo

Yihao Liu

Jerry L Prince

Aaron Carass

2024/1/1

Automatic Quantification of Enlarged Perivascular Space in Patients With Traumatic Brain Injury Using Super-Resolution of T2-Weighted Images

Journal of neurotrauma

Jiachen Zhuo

Prashant Raghavan

Muhan Shao

Steven Roys

Xiao Liang

...

2024/2/1

AniRes2D: anisotropic residual-enhanced diffusion for 2D MR super-resolution

Zejun Wu

Samuel W Remedios

Blake E Dewey

Aaron Carass

Jerry L Prince

2024/4/2

Attentive continuous generative self-training for unsupervised domain adaptive medical image translation

Medical image analysis

Xiaofeng Liu

Jerry L Prince

Fangxu Xing

Jiachen Zhuo

Timothy Reese

...

2023/8/1

HACA3: A unified approach for multi-site MR image harmonization

Computerized Medical Imaging and Graphics

Lianrui Zuo

Yihao Liu

Yuan Xue

Blake E Dewey

Samuel W Remedios

...

2023/10/1

Deep learning in optical coherence tomography: Where are the gaps?

Dawei Li

An Ran Ran

Carol Y Cheung

Jerry L Prince

2023/11

See List of Professors in Jerry L. Prince University(Johns Hopkins University)

Co-Authors

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