2 citations · 2 across the 1 of their papers we have counts for
7 papers
The CNN-based Coronary Occlusion Site Localization with Effective Preprocessing Method
YeongHyeon Park, Il Dong Yun, Si-Hyuck Kang
The Coronary Artery Occlusion (CAO) acutely comes to human, and it highly threats the human's life. When CAO detected, Percutaneous Coronary Intervention (PCI) should be conducted…
Reinforcing Medical Image Classifier to Improve Generalization on Small Datasets
Walid Abdullah Al, Il Dong Yun
With the advents of deep learning, improved image classification with complex discriminative models has been made possible. However, such deep models with increased complexity requ…
Reinforcement Learning-based Automatic Diagnosis of Acute Appendicitis in Abdominal CT
Walid Abdullah Al, Il Dong Yun, Kyong Joon Lee
Acute appendicitis characterized by a painful inflammation of the vermiform appendix is one of the most common surgical emergencies. Localizing the appendix is challenging due to i…
Centerline Depth World Reinforcement Learning-based Left Atrial Appendage Orifice Localization
Walid Abdullah Al, Il Dong Yun, Eun Ju Chun
Left atrial appendage (LAA) closure (LAAC) is a minimally invasive implant-based method to prevent cardiovascular stroke in patients with non-valvular atrial fibrillation. Assessin…
Learning Bone Suppression from Dual Energy Chest X-rays using Adversarial Networks
Dong Yul Oh, Il Dong Yun
Suppressing bones on chest X-rays such as ribs and clavicle is often expected to improve pathologies classification. These bones can interfere with a broad range of diagnostic task…
Comparison of RNN Encoder-Decoder Models for Anomaly Detection
YeongHyeon Park, Il Dong Yun
In this paper, we compare different types of Recurrent Neural Network (RNN) Encoder-Decoders in anomaly detection viewpoint. We focused on finding the model that can learn the same…