Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Yun, Il Dong"'
Dopamine transporter (DAT) imaging is commonly used for monitoring Parkinson's disease (PD), where striatal DAT uptake amount is computed to assess PD severity. However, DAT imaging has a high cost and the risk of radiance exposure and is not availab
Externí odkaz:
http://arxiv.org/abs/2404.11929
We present a method to extract coronary vessels from fluoroscopic x-ray sequences. Given the vessel structure for the source frame, vessel correspondence candidates in the subsequent frame are generated by a novel hierarchical search scheme to overco
Externí odkaz:
http://arxiv.org/abs/2207.13837
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 timely. Before PCI, localizing the CAO is needed firstly, because the
Externí odkaz:
http://arxiv.org/abs/1912.08375
Autor:
Al, Walid Abdullah, Yun, Il Dong
With the advents of deep learning, improved image classification with complex discriminative models has been made possible. However, such deep models with increased complexity require a huge set of labeled samples to generalize the training. Such cla
Externí odkaz:
http://arxiv.org/abs/1909.05630
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 its unclear anatomy amidst the complex colon-structure as observed in t
Externí odkaz:
http://arxiv.org/abs/1909.00617
Left atrial appendage (LAA) closure (LAAC) is a minimally invasive implant-based method to prevent cardiovascular stroke in patients with non-valvular atrial fibrillation. Assessing the LAA orifice in preoperative CT angiography plays a crucial role
Externí odkaz:
http://arxiv.org/abs/1904.01241
Publikováno v:
In Computerized Medical Imaging and Graphics June 2023 106
Autor:
Oh, Dong Yul, Yun, Il Dong
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 tasks on pulmonary disease except for musculoskeletal system. Current conv
Externí odkaz:
http://arxiv.org/abs/1811.02628
Autor:
Park, YeongHyeon, Yun, Il Dong
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 data more effectively. We compared multiple models under the same con
Externí odkaz:
http://arxiv.org/abs/1807.06576
Autor:
Al, Walid Abdullah, Yun, Il Dong
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 in 3D medical images as a reinforcement learning problem. Whereas valu
Externí odkaz:
http://arxiv.org/abs/1807.02908