Dong Hye Ye

Dong Hye Ye

Marquette University

H-index: 21

North America-United States

About Dong Hye Ye

Dong Hye Ye, With an exceptional h-index of 21 and a recent h-index of 18 (since 2020), a distinguished researcher at Marquette University, specializes in the field of Image Processing, Machine Learning, Computational Imaging, Medical Image Analysis.

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

Method and apparatus for processing image

Age encoded adversarial learning for pediatric CT segmentation

Multimodal Deep Learning Approach for Dynamic Sampling with Automatic Feature Selection in Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging

Deep learning classification of deep ultraviolet fluorescence images toward intra-operative margin assessment in breast cancer

Multi-modal deep learning on imaging genetics for schizophrenia classification

Analysis of deep ultraviolet fluorescence images for intraoperative breast tumor margin assessment

Deep Learning Approach for Dynamic Sampling for Multichannel Mass Spectrometry Imaging

Multimodal Deep Learning for Pediatric Mild Traumatic Brain Injury Detection

Dong Hye Ye Information

University

Position

Assistant Professor

Citations(all)

6806

Citations(since 2020)

5426

Cited By

3240

hIndex(all)

21

hIndex(since 2020)

18

i10Index(all)

31

i10Index(since 2020)

25

Email

University Profile Page

Google Scholar

Dong Hye Ye Skills & Research Interests

Image Processing

Machine Learning

Computational Imaging

Medical Image Analysis

Top articles of Dong Hye Ye

Title

Journal

Author(s)

Publication Date

Method and apparatus for processing image

2020/9/15

Age encoded adversarial learning for pediatric CT segmentation

Bioengineering

Saba Heidari Gheshlaghi

Chi Nok Enoch Kan

Taly Gilat Schmidt

Dong Hye Ye

2024/3/27

Multimodal Deep Learning Approach for Dynamic Sampling with Automatic Feature Selection in Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging

Electronic Imaging

David Helminiak

Tobias Boskamp

Dong Hye Ye

2024/1/21

Deep learning classification of deep ultraviolet fluorescence images toward intra-operative margin assessment in breast cancer

Frontiers in Oncology

Tyrell To

Tongtong Lu

Julie M Jorns

Mollie Patton

Taly Gilat Schmidt

...

2023/6/16

Multi-modal deep learning on imaging genetics for schizophrenia classification

Ayush Kanyal

Srinivas Kandula

Vince Calhoun

Dong Hye Ye

2023/6/4

Analysis of deep ultraviolet fluorescence images for intraoperative breast tumor margin assessment

Tongtong Lu

Julie M Jorns

Dong Hye Ye

Mollie Patton

Taly Gilat-Schmidt

...

2023/3/6

Deep Learning Approach for Dynamic Sampling for Multichannel Mass Spectrometry Imaging

IEEE transactions on computational imaging

David Helminiak

Hang Hu

Julia Laskin

Dong Hye Ye

2023/2/24

Multimodal Deep Learning for Pediatric Mild Traumatic Brain Injury Detection

Badhan Mazumder

Deepan Krishna Tripathy

Keith Owen Yeates

Miriam H Beauchamp

William Craig

...

2023/10/15

Advances and prospects for the Human BioMolecular Atlas Program (HuBMAP)

Sanjay Jain

Liming Pei

Jeffrey M Spraggins

Michael Angelo

James P Carson

...

2023/8

Deep learning-based prior toward normalized metal artifact reduction in computed tomography

Jeonghyeon Nam

Dong Hye Ye

Okkyun Lee

2022/10/17

Pediatric chest‐abdomen‐pelvis and abdomen‐pelvis CT images with expert organ contours

Medical physics

Petr Jordan

Philip M Adamson

Vrunda Bhattbhatt

Surabhi Beriwal

Sangyu Shen

...

2022/5

Deep learning from imaging genetics for schizophrenia classification

Hongkun Yu

Thomas Florian

Vince Calhoun

Dong Hye Ye

2022/10/16

Automated assessment of breast margins in deep ultraviolet fluorescence images using texture analysis

Biomedical Optics Express

Tongtong Lu

Julie M Jorns

Dong Hye Ye

Mollie Patton

Renee Fisher

...

2022/9/1

High-throughput mass spectrometry imaging with dynamic sparse sampling

ACS Measurement Science Au

Hang Hu

David Helminiak

Manxi Yang

Daisy Unsihuay

Ryan T Hilger

...

2022/8/15

Deep learning for breast cancer classification of deep ultraviolet fluorescence images toward intra-operative margin assessment

Tyrell To

Saba Heidari Gheshlaghi

Dong Hye Ye

2022/7/11

Iodine-enhanced liver vessel segmentation in photon counting detector-based computed tomography using deep learning

Sumin Baek

Okkyun Lee

Donghye Ye

2022/10/17

Multi-domain neumann network with sensitivity maps for parallel MRI reconstruction

Sensors

Jun-Hyeok Lee

Junghwa Kang

Se-Hong Oh

Dong Hye Ye

2022/5/23

Improving presentation consistency of radiographic images using deep learning

Najib Akram Maheen Aboobacker

German Vera Gonzalez

Fengchao Zhang

Justin Wanek

Ping Xue

...

2021/2/15

Enhancing reproductive organ segmentation in pediatric CT via adversarial learning

Chi Nok Enoch Kan

Taly Gilat-Schmidt

Dong Hye Ye

2021/2/15

Breast cancer histopathological image classification with adversarial image synthesis

Maheshvar Chandrasekar

Mukkesh Ganesh

B Saleena

Prakash Balasubramanian

2020/12/10

See List of Professors in Dong Hye Ye University(Marquette University)

Co-Authors

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