Ulsan University Hospital

CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseases

Imjin Ahn, Wonjun Na, Osung Kwon et al.

2021 · 29 Zit.

Deep Learning Model Based on You Only Look Once Algorithm for Detection and Visualization of Fracture Areas in Three-Dimensional Skeletal Images

Young Dae Jeon, Min-Jun Kang, Sung Uk Kuh et al.

2023 · 20 Zit.

The Use of Artificial Intelligence to Predict the Prognosis of Patients Undergoing Central Nervous System Rehabilitation: A Narrative Review

Min Cheol Chang, Jeoung Kun Kim, Donghwi Park et al.

2023 · 18 Zit.

Automatic segmentation of inconstant fractured fragments for tibia/fibula from CT images using deep learning

Hyeonjoo Kim, Young Dae Jeon, Ki‐Bong Park et al.

2023 · 10 Zit.

Clinical validation of a deep learning-based approach for preoperative decision-making in implant size for total knee arthroplasty

Ki‐Bong Park, Moo-Sub Kim, Do-Kun Yoon et al.

2024 · 8 Zit.

Clinical validation of artificial intelligence-based preoperative virtual reduction for Neer 3- or 4-part proximal humerus fractures

Young Dae Jeon, Kwang-Hwan Jung, Moo-Sub Kim et al.

2024 · 6 Zit.

Ipsilateral Fractures of the Femur and Tibia

Hyoun-Oh Cho, Kyeong-Duck Kwak, Sung-Do Cho et al.

1996 · 4 Zit.

TREATMENT OF PROXIMAL TIBIA FRACTURE WITH HYBRID EXTERNAL FIXATOR

Tae Woo Park, Sung Do Cho, Youg Sun Cho et al.

2001 · 1 Zit.

Explainable Deep Learning Framework for Classifying Mandibular Fractures on Panoramic Radiographs

Hyejun Seo, Jae-Il Lee, Jeong-Uk Park et al.

2025 · 0 Zit.

Abstract DP243: Prospective Collection And Analysis of Acute Stroke Imaging Data: The CRCS-K Imaging Repository

Beom Joon Kim, Jonguk Kim, Nakhoon Kim et al.

2026 · 0 Zit.

The Application of Artificial Intelligence in the Field of Rehabilitation

Min Cheol Chang, Jeoung Kun Kim, Donghwi Park

2022 · 0 Zit.

Blood Collection Workload and Safety of Medical Technologists at Korean Hospitals

Sung‐Bae Park, Suk JEKAL, Weon Joo Hwang et al.

2023 · 0 Zit.