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Sensors (Basel, Switzerland)|March 26, 2022
Method to Minimize the Errors of AI: Quantifying and Exploiting Uncertainty of Deep Learning in Brain Tumor SegmentationJoohyun Lee, Dongmyung Shin, Se-Hong Oh, et al.
International Journal of Cardiology. Heart & Vasculature|April 21, 2025
AI-based measurement of cardiothoracic ratio in chest X-rays and prediction of echocardiographic congestive heart failureJoshua Ra, Heejun Shin, Christopher Park, et al.
Computers in Biology and Medicine|March 2, 2025
Sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularizationHeejun Shin, Taehee Kim, Jongho Lee, et al.
Radiology Advances|October 8, 2025
Artificial intelligence software for detecting unsuspected lung cancer on chest radiographs in an asymptomatic populationTaehee Kim, Heejun Shin, Yong Sub Song, et al.
IEEE Transactions on Medical Imaging|August 25, 2020
Deep Reinforcement Learning Designed Shinnar-Le Roux RF Pulse Using Root-Flipping: DeepRF<sub>SLR</sub>Dongmyung Shin, Sooyeon Ji, Doohee Lee, et al.
Magnetic Resonance in Medicine|November 1, 2019
Artificial neural network for myelin water imagingJieun Lee, Doohee Lee, Joon Yul Choi, et al.
IEEE Transactions on Medical Imaging|September 29, 2021
DIFFnet: Diffusion Parameter Mapping Network Generalized for Input Diffusion Gradient Schemes and b-ValueJuhyung Park, Woojin Jung, Eun-Jung Choi, et al.
Neuroimage|October 10, 2020
DeepResp: Deep learning solution for respiration-induced B<sub>0</sub> fluctuation artifacts in multi-slice GREHongjun An, Hyeong-Geol Shin, Sooyeon Ji, et al.
IEEE Transactions on Medical Imaging|June 30, 2021
Quad-Contrast Imaging: Simultaneous Acquisition of Four Contrast-Weighted Images (PD-Weighted, T₂-Weighted, PD-FLAIR and T₂-FLAIR Images) With Synthetic T₁-Weighted Image, T₁- and T₂-MapsSooyeon Ji, Jinhee Jeong, Se-Hong Oh, et al.
European Radiology Experimental|November 8, 2023
Pulmonary abnormality screening on chest x-rays from different machine specifications: a generalized AI-based image manipulation pipelineHeejun Shin, Taehee Kim, Juhyung Park, et al.
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