K. Lee

发表

Ruling out rotator cuff tear in shoulder radiograph series using deep learning: redefining the role of conventional radiograph

Joon Woo Lee, Eugene Lee, J. Ahn, 2020, European Radiology.

Effects of Hypertension, Diabetes, and Smoking on Age and Sex Prediction from Retinal Fundus Images

Kyoung Jin Noh, Tackeun Kim, K. Park, 2020, Scientific Reports.

Deep Learning in Diagnosis of Maxillary Sinusitis Using Conventional Radiography

J. H. Kim, C. Jung, Y. J. Bae, 2019, Investigative radiology.

Volumetric analysis of pulmonary nodules: reducing the discrepancy between the diameter-based volume calculation and voxel-counting method.

Kyung Hee Lee, K. Lee, C. Nam, 2021, Quantitative imaging in medicine and surgery.

Limited detection of small (≤ 10 mm) colorectal liver metastasis at preoperative CT in patients undergoing liver resection

K. Lee, Soyeon Ahn, Sung-Bum Kang, 2017, PloS one.

Computer-aided detection of brain metastasis on 3D MR imaging: Observer performance study

Young Jae Kim, Leonard Sunwoo, Seung Hong Choi, 2017, PloS one.

Can Additional Patient Information Improve the Diagnostic Performance of Deep Learning for the Interpretation of Knee Osteoarthritis Severity

Yong Seuk Lee, Dongjun Choi, K. Lee, 2020, Journal of clinical medicine.

Performance of deep learning to detect mastoiditis using multiple conventional radiographs of mastoid

Leonard Sunwoo, Dongjun Choi, Kyong Joon Lee, 2020, PloS one.

Pre-existing and machine learning-based models for cardiovascular risk prediction

Tackeun Kim, S. Park, Dongjun Choi, 2021, Scientific Reports.

Evaluating subscapularis tendon tears on axillary lateral radiographs using deep learning

J. Oh, J. Ahn, Dongjun Choi, 2021, European Radiology.

Spider U-Net: Incorporating Inter-Slice Connectivity Using LSTM for 3D Blood Vessel Segmentation

Leonard Sunwoo, Tackeun Kim, Kyeorye Lee, 2021, Applied Sciences.

Performance of a Deep Learning Algorithm in Detecting Osteonecrosis of the Femoral Head on Digital Radiography: A Comparison With Assessments by Radiologists.

H. Chae, Eugene Lee, J. Ahn, 2019, AJR. American journal of roentgenology.

Machine learning for detecting moyamoya disease in plain skull radiography using a convolutional neural network

Sang Jun Park, Leonard Sunwoo, Si-Hyuck Kang, 2018, EBioMedicine.

Weakly supervised Branch Network with Template Mask for Classifying Masses in 3D Automated Breast Ultrasound

M. Jang, K. Lee, C. Nam, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Can Deep Learning Using Weight Bearing Knee Anterio-Posterior Radiograph Alone Replace a Whole-Leg Radiograph in the Interpretation of Weight Bearing Line Ratio?

Dongjun Choi, K. Lee, Yong-Seuk Lee, 2021, Journal of clinical medicine.

Deep Learning for Diagnosis of Paranasal Sinusitis Using Multi-View Radiographs

Dong Yul Oh, C. Jung, Y. J. Bae, 2021, Diagnostics.

Longitudinal Change Detection on Chest X-rays Using Geometric Correlation Maps

Kyong Joon Lee, Dong Yul Oh, Jihang Kim, 2019, MICCAI.

Effects of Hypertension, Diabetes, and Smoking on Age and Sex Prediction from Retinal Fundus Images

Kyoung Jin Noh, Tackeun Kim, K. Park, 2020, Scientific Reports.

Intracranial steno-occlusive lesion detection on time-of-flight MR angiography using multi-task learning

Tackeun Kim, J. Jang, L. Sunwoo, 2023, Comput. Medical Imaging Graph..

Central Image Archiving and Management System for Multicenter Clinical Studies: Lessons from Low-dose CT for Appendicitis Trial

Dong Hyun Kim, J. Woo, S. Shin, 2017 .

Phase-Based Nonrigid Deformation for Digital Subtraction Angiography

Soochahn Lee, Leonard Sunwoo, Kyong Joon Lee, 2019, IEEE Access.

Incidence Lung Cancer after a Negative CT Screening in the National Lung Screening Trial: Deep Learning-Based Detection of Missed Lung Cancers

Kyung Yol Lee, K. Lee, Jungheum Cho, 2020, Journal of clinical medicine.