Do-Young Kang

Do-Young Kang

Dong-A University

H-index: 17

Asia-South Korea

About Do-Young Kang

Do-Young Kang, With an exceptional h-index of 17 and a recent h-index of 14 (since 2020), a distinguished researcher at Dong-A University, specializes in the field of PET, Molecular imaging, Machine learning, Deep learning, Thyroid.

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

Clinical and Neuroimaging Predictors of Alzheimer’s Dementia Conversion in Patients with Mild Cognitive Impairment Using Amyloid Positron Emission Tomography by Quantitative …

Quantitative comparative analysis of amyloid PET images using three radiopharmaceuticals

Alzheimer’s Disease Prediction Using Attention Mechanism with Dual-Phase 18F-Florbetaben Images

Vision transformer approach for classification of alzheimer’s disease using 18f-florbetaben brain images

Quantitative analysis using PMOD and FreeSurfer for 3 types of radiotracers for Alzheimer's disease diagnosis

Classification of Alzheimer’s Disease Using Dual-Phase 18F-Florbetaben Image with Rank-Based Feature Selection and Machine Learning

Genetic algorithm based deep learning neural network structure and hyperparameter optimization

Early Phase F18-Florbetaben Imaging Can Be Used to Improve Alzheimer's Disease Detection

Do-Young Kang Information

University

Position

___

Citations(all)

1140

Citations(since 2020)

594

Cited By

1084

hIndex(all)

17

hIndex(since 2020)

14

i10Index(all)

29

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Do-Young Kang Skills & Research Interests

PET

Molecular imaging

Machine learning

Deep learning

Thyroid

Top articles of Do-Young Kang

Title

Journal

Author(s)

Publication Date

Clinical and Neuroimaging Predictors of Alzheimer’s Dementia Conversion in Patients with Mild Cognitive Impairment Using Amyloid Positron Emission Tomography by Quantitative …

Alzheimer's & Dementia

Seon Jeong Kim

Hye‐in Chung

Daye Yoon

Young Jin Jeong

Do‐Young Kang

...

2023/12

Quantitative comparative analysis of amyloid PET images using three radiopharmaceuticals

Annals of Nuclear Medicine

Young Jin Jeong

Hyun Jin Yoon

Do-Young Kang

Kyung Won Park

2023/5

Alzheimer’s Disease Prediction Using Attention Mechanism with Dual-Phase 18F-Florbetaben Images

Nuclear Medicine and Molecular Imaging

Hyeon Kang

Do-Young Kang

2023/4

Vision transformer approach for classification of alzheimer’s disease using 18f-florbetaben brain images

Applied Sciences

Hyunji Shin

Soomin Jeon

Youngsoo Seol

Sangjin Kim

Doyoung Kang

2023/3/8

Quantitative analysis using PMOD and FreeSurfer for 3 types of radiotracers for Alzheimer's disease diagnosis

Hyun Jin Yoon

Young Jin Jeong

Jieun Jeong

Kyung Won Park

Do-Young Kang

2022/6/1

Classification of Alzheimer’s Disease Using Dual-Phase 18F-Florbetaben Image with Rank-Based Feature Selection and Machine Learning

Applied Sciences

Hyun-Ji Shin

Hyemin Yoon

Sangjin Kim

Do-Young Kang

2022/7/22

Genetic algorithm based deep learning neural network structure and hyperparameter optimization

Applied Sciences

Sanghyeop Lee

Junyeob Kim

Hyeon Kang

Do-Young Kang

Jangsik Park

2021/1/14

Early Phase F18-Florbetaben Imaging Can Be Used to Improve Alzheimer's Disease Detection

Hyeon Kang

Do-Young Kang

2021/5/1

Quantification of the F18-FPN brain PET images by Reference Tissue Model

Hyun Jin Yoon

Young Jin Jeong

Jieun Jeong

Kyung Won Park

Do-Young Kang

2021/5/1

Performance evaluation in [18F]Florbetaben brain PET images classification using 3D Convolutional Neural Network

PLoS One

Seung-Yeon Lee

Hyeon Kang

Jong-Hun Jeong

Do-young Kang

2021/10/20

Anomaly analysis of Alzheimer’s disease in PET images using an unsupervised adversarial deep learning model

Applied Sciences

Husnu Baris Baydargil

Jang-Sik Park

Do-Young Kang

2021/3/2

Heterogeneity by global and textural feature analysis in F-18 FP-CIT brain PET images for diagnosis of Parkinson's disease

Medicine

Hyun Jin Yoon

Kook Cho

Woong Gon Kim

Young-Jin Jeong

Ji-Eun Jeong

...

2021/9/3

Restoration of amyloid PET images obtained with short-time data using a generative adversarial networks framework

Scientific reports

Young Jin Jeong

Hyoung Suk Park

Ji Eun Jeong

Hyun Jin Yoon

Kiwan Jeon

...

2021/3/1

A Study on Facial Expression Change Detection Using Machine Learning Methods with Feature Selection Technique

Mathematics

Sang-Ha Sung

Sangjin Kim

Byung-Kwon Park

Do-Young Kang

Sunhae Sul

...

2021/8/26

Alzheimer’s Disease Prediction Using Long Short-Term Memory with Early-Phase 18F-Florbetaben Imaging Data

Hyeon Kang

Kyung Won Park

Do-Young Kang

2021/2/26

Restoration of full dynamic data using only early and late dynamic data from amyloid PET image

Young Jin Jeong

Do-Young Kang

Jieun Jeong

Jun-Kyo Kim

Gangjoon Yoon

2021/5/1

Accurate BAPL score classification of brain PET images based on convolutional neural networks with a joint discriminative loss function

Applied Sciences

Ryosuke Sato

Yutaro Iwamoto

Kook Cho

Do-Young Kang

Yen-Wei Chen

2020/2/2

Alternatives to static F-18-FDG brain PET using early-phase F-18-FPN brain PET

Hyun Jin Yoon

Young-Jin Jeong

Ji-Eun Jeong

Hyun Ji Shin

Do-Young Kang

2020/9/11

Classification of Alzheimer’s Disease with Stacked Convolutional Autoencoder

멀티미디어학회논문지

Husnu Baris Baydargil

Jang Sik Park

2020/2

Optimization of Deep Learning Model Using Genetic Algorithm in PET-CT Image Alzheimer's Classification

Journal of Korea Multimedia Society

Sanghyeop Lee

Do-Young Kang

Jongkwan Song

Jangsik Park

2020

See List of Professors in Do-Young Kang University(Dong-A University)