Keewon Shin

发表

Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy

Keewon Shin, Joonmyeong Choi, Namkug Kim, 2020, Clinical endoscopy.

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

Namkug Kim, G. Hong, Keewon Shin, 2022, Medical Image Anal..

Machine Learning Models with Time-Series Clinical Features to Predict Radiographic Progression in Patients with Ankylosing Spondylitis

Namkug Kim, Tae-Hwan Kim, Seunghun Lee, 2021, SSRN Electronic Journal.

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

J. Byun, H. Park, Keewon Shin, 2022, Radiology.

Automated landmark identification for diagnosis of the deformity using a cascade convolutional neural network (FlatNet) on weight-bearing lateral radiographs of the foot

Jun-Sik Kim, S. W. Shin, Keewon Shin, 2022, Comput. Biol. Medicine.

Deep Learning in Medical Imaging

Namkug Kim, Ryoungwoo Jang, Keewon Shin, 2020, Neurospine.

Can deep learning reduce the time and effort required for manual segmentation in 3D reconstruction of MRI in rotator cuff tears?

Namkug Kim, S. Chung, K. Koh, 2022, PloS one.

Deep Learning in Medical Imaging

Namkug Kim, Jihye Yun, Ryoungwoo Jang, 2019, Neurospine.

Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network

Namkug Kim, Yongwon Cho, Keewon Shin, 2020, Comput. Methods Programs Biomed..

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

Namkug Kim, G. Hong, Keewon Shin, 2023, PloS one.

Enhancement of evaluating flatfoot on a weight-bearing lateral radiograph of the foot with U-Net based semantic segmentation on the long axis of tarsal and metatarsal bones in an active learning manner

Namkug Kim, S. W. Shin, Keewon Shin, 2022, Comput. Biol. Medicine.

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

D. Kim, J. Byeon, Keewon Shin, 2020, Journal of digital imaging.

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

D. Kim, J. Byeon, Keewon Shin, 2023, Journal of Digital Imaging.

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

Sang Min Lee, J. Seo, Namkug Kim, 2023, Korean journal of radiology.

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

S. W. Shin, Keewon Shin, Hyun-Jin Kim, 2023, European Radiology.

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

Keewon Shin, Yong-Seok Park, Hyun-Jin Kim, 2023, Comput. Biol. Medicine.

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

Namkug Kim, G. Hong, Keewon Shin, 2022, Journal of the Korean Society of Radiology.