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IEEE Transactions on Medical Imaging|August 26, 2024
Generative Adversarial Network With Robust Discriminator Through Multi-Task Learning for Low-Dose CT DenoisingSunggu Kyung, Jongjun Won, Seongyong Pak, et al.
Insights Into Imaging|November 4, 2021
Impact of diagnostic errors on adverse outcomes: learning from emergency department revisits with repeat CT or MRIYura Ahn, Gil-Sun Hong, Kye Jin Park, et al.
Korean Journal of Radiology|February 27, 2024
Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical ProfessionalsKiduk Kim, Kyungjin Cho, Ryoungwoo Jang, et al.
European Radiology|January 13, 2021
Value of bone suppression software in chest radiographs for improving image quality and reducing radiation doseGil-Sun Hong, Kyung-Hyun Do, A-Yeon Son, et al.
Nature Communications|July 22, 2022
Emergency triage of brain computed tomography via anomaly detection with a deep generative modelSeungjun Lee, Boryeong Jeong, Minjee Kim, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|January 8, 2021
Assessment of naive indolent lymphoma using whole-body diffusion-weighted imaging and T2-weighted MRI: results of a prospective study in 30 patientsGil-Sun Hong, Eun Jin Chae, Jin-Sook Ryu, et al.
Computers in Biology and Medicine|December 10, 2016
Interactive registration between supine and prone scans in computed tomography colonography using band-height imagesYoungchan Song, Hyunna Lee, Ho Chul Kang, et al.
Journal of Imaging Informatics in Medicine|September 11, 2024
Screening Patient Misidentification Errors Using a Deep Learning Model of Chest Radiography: A Seven Reader StudyKiduk Kim, Kyungjin Cho, Yujeong Eo, et al.
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