1 code implementation • 18 Apr 2024 • Walid Abdullah Al, Il Dong Yun, Yun Jung Bae
Dopamine transporter (DAT) imaging is commonly used for monitoring Parkinson's disease (PD), where striatal DAT uptake amount is computed to assess PD severity.
no code implementations • 28 Jul 2022 • Seung Yeon Shin, Soochahn Lee, Kyoung Jin Noh, Il Dong Yun, Kyoung Mu Lee
We present a method to extract coronary vessels from fluoroscopic x-ray sequences.
no code implementations • 18 Dec 2019 • 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.
no code implementations • 2 Sep 2019 • Walid Abdullah Al, Il Dong Yun, Kyong Joon Lee
With no prior computational approaches to the best of our knowledge, we propose the first computerized automation for acute appendicitis diagnosis.
no code implementations • 2 Sep 2019 • Walid Abdullah Al, Il Dong Yun
With the advents of deep learning, improved image classification with complex discriminative models has been made possible.
1 code implementation • IEEE Access 2019 • YeongHyeon Park, Il Dong Yun, Si-Hyuck Kang
We mostly focus on enhancing the detecting performance using a preprocessing technique.
no code implementations • 2 Apr 2019 • Walid Abdullah Al, Il Dong Yun, Eun Ju Chun
In this paper, we propose a centerline depth-based reinforcement learning (RL) world for effective orifice localization in a small search space.
no code implementations • 5 Nov 2018 • Dong Yul Oh, Il Dong Yun
In this paper, we introduce a deep generative model trained to predict bone suppressed images on single energy chest X-rays, analyzing a finite set of previously acquired dual energy chest X-rays.
Bone Suppression From Dual Energy Chest X-Rays Generative Adversarial Network
1 code implementation • MDPI 2018 • YeongHyeon Park, Il Dong Yun
Surface Mounted Device (SMD) assembly machine manufactures various products on a flexible manufacturing line.
no code implementations • 17 Jul 2018 • YeongHyeon Park, Il Dong Yun
Finally, we experimentally confirmed that the model performs better when the model restores the current sequence, rather than predict the future sequence.
no code implementations • 9 Jul 2018 • Walid Abdullah Al, Il Dong Yun
We introduce a partial policy-based reinforcement learning to enable solving the large problem of localization by learning the optimal policy on smaller partial domains.
1 code implementation • 6 Jun 2018 • Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee
We propose a novel deep-learning-based system for vessel segmentation.
Ranked #1 on Retinal Vessel Segmentation on HRF
1 code implementation • 10 Oct 2017 • Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Sun Mi Kim, Kyoung Mu Lee
The results trained with only 10 strongly annotated images along with weakly annotated images were comparable to results trained from 800 strongly annotated images, with the 95% confidence interval of difference -3. 00%--5. 00%, in terms of the correct localization (CorLoc) measure, which is the ratio of images with intersection over union with ground truth higher than 0. 5.
no code implementations • CVPR 2015 • Ho Yub Jung, Soochahn Lee, Yong Seok Heo, Il Dong Yun
Instead of training trees for pixel-wise classification, a regression tree is trained to estimate the probability distribution to the direction toward the particular joint, relative to the current position.