255 citations · 472 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
Partial Policy-based Reinforcement Learning for Anatomical Landmark Localization in 3D Medical Images
Walid Abdullah Al, Il Dong Yun
Deploying the idea of long-term cumulative return, reinforcement learning has shown remarkable performance in various fields. We propose a formulation of the landmark localization…
Deep Vessel Segmentation By Learning Graphical Connectivity
Seung Yeon Shin, Soochahn Lee, Il Dong Yun +1
We propose a novel deep-learning-based system for vessel segmentation. Existing methods using CNNs have mostly relied on local appearances learned on the regular image grid, withou…