Aaron Carass

Aaron Carass

Johns Hopkins University

H-index: 46

North America-United States

About Aaron Carass

Aaron Carass, With an exceptional h-index of 46 and a recent h-index of 37 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Digital Topology, Medical Image Processing, Optical Coherence Tomography, Image Harmonization, Image Synthesis.

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

An overview of disentangled representation learning for MR image harmonization

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

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

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

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

On finite difference jacobian computation in deformable image registration

DeepWMH: A deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for training

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

Aaron Carass Information

University

Position

___

Citations(all)

7157

Citations(since 2020)

5149

Cited By

3804

hIndex(all)

46

hIndex(since 2020)

37

i10Index(all)

113

i10Index(since 2020)

95

Email

University Profile Page

Google Scholar

Aaron Carass Skills & Research Interests

Digital Topology

Medical Image Processing

Optical Coherence Tomography

Image Harmonization

Image Synthesis

Top articles of Aaron Carass

Title

Journal

Author(s)

Publication Date

An overview of disentangled representation learning for MR image harmonization

Lianrui Zuo

Yihao Liu

Jerry L Prince

Aaron Carass

2024/1/1

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

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

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

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

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

DeepWMH: A deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for training

Science bulletin

Chenghao Liu

Zhizheng Zhuo

Liying Qu

Ying Jin

Tiantian Hua

...

2024/1/28

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

From Registration Uncertainty to Segmentation Uncertainty

arXiv preprint arXiv:2403.05111

Junyu Chen

Yihao Liu

Shuwen Wei

Zhangxing Bian

Aaron Carass

...

2024/3/8

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

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

Segmenting retinal oct images with inter-b-scan and longitudinal information

Yufan He

Aaron Carass

Yihao Liu

Angeliki Filippatou

Bruno M Jedynak

...

2020/3/10

A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond

arXiv preprint arXiv:2307.15615

Junyu Chen

Yihao Liu

Shuwen Wei

Zhangxing Bian

Shalini Subramanian

...

2023/7/28

Label propagation via random walk for training robust thalamus nuclei parcellation model from noisy annotations

Anqi Feng

Yuan Xue

Yuli Wang

Chang Yan

Zhangxing Bian

...

2023/4/18

Unsupervised quality assurance for brain MR image rigid registration using latent shape representation

Yuan Xue

Lianrui Zuo

Samuel W Remedios

Blake E Dewey

Peiyu Duan

...

2023/4/3

Segmenting thalamic nuclei from manifold projections of multi-contrast MRI

Chang Yan

Muhan Shao

Zhangxing Bian

Anqi Feng

Yuan Xue

...

2023/4/3

See List of Professors in Aaron Carass University(Johns Hopkins University)

Co-Authors

academic-engine