Keewon Shin

Research Professor

Seoul National University Hospital

South Korea

Research Interests

Explore related searches

Professors in South Korea Professors in Medical Imaging Medical Imaging professors in South Korea

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (10)

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Collaborators (13)

Seung-Jin Yoo

Hanyang University Guri Hospital

SOUTH KOREA

View details

Namkug Kim

Assistance Professor

University of Ulsan College of Medicine

SOUTH KOREA

View details

Tae-Hwan Kim

SOUTH KOREA

View details

Seong Ho Park

University of Ulsan College of Medicine

SOUTH KOREA

View details

Jae Ho Byun

University of Ulsan College of Medicine

SOUTH KOREA

View details

Jeongseok Kim

Mount Sinai Hospital

CANADA

View details

Seunghun Lee

Professor

Hanyang University

SOUTH KOREA

View details

Hyoung Jung Kim

University of Ulsan College of Medicine

SOUTH KOREA

View details

Joon Beom Seo

Professor

University of Ulsan College of Medicine

SOUTH KOREA

View details

Hyunsu Lee

Assistant professor

Pusan National University

SOUTH KOREA

View details

Myung-Won You

Kyung Hee University School of Medicine

SOUTH KOREA

View details

Sanghyun Paik

Hanyang University Guri Hospital

SOUTH KOREA

View details

minju Kim

University of Ulsan College of Medicine

SOUTH KOREA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Keewon Shin

Research Interests

Explore related searches

Contact this professor

Articles (10)

Machine learning models with time-series clinical features to predict radiographic progression in patients with ankylosing spondylitis

Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning

Screening of adolescent idiopathic scoliosis using generative adversarial network (GAN) inversion method in chest radiographs

An Image Turing Test on Realistic Gastroscopy Images Generated by Using the Progressive Growing of Generative Adversarial Networks

Deep Learning–based Detection of Solid and Cystic Pancreatic Neoplasms at Contrast-enhanced CT

Enhancing the performance of premature ventricular contraction detection in unseen datasets through deep learning with denoise and contrast attention module

Automated diagnosis of flatfoot using cascaded convolutional neural network for angle measurements in weight-bearing lateral radiographs

Diagnosis of Scoliosis Using Chest Radiographs with a Semi-Supervised Generative Adversarial Network

Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT

Diagnosis of Scoliosis Using Chest Radiographs with a Semi-Supervised Generative Adversarial Network,준지도학습 방법을 이용한 흉부 X선 사진에서 척추측만증의 진단

Collaborators (13)

Seung-Jin Yoo

Namkug Kim

Tae-Hwan Kim

Seong Ho Park

Jae Ho Byun

Jeongseok Kim

Seunghun Lee

Hyoung Jung Kim

Joon Beom Seo

Hyunsu Lee

Myung-Won You

Sanghyun Paik

minju Kim

Make your next move.