Extending nn-UNet for brain tumor segmentation HM Luu, SH Park International MICCAI brainlesion workshop, 173-186, 2021 | 162 | 2021 |
Why is the winner the best? M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
Artificial neural network for slice encoding for metal artifact correction (SEMAC) MRI S Seo, WJ Do, HM Luu, KH Kim, SH Choi, SH Park Magnetic Resonance in Medicine 84 (1), 263-276, 2020 | 19 | 2020 |
qMTNet: Accelerated quantitative magnetization transfer imaging with artificial neural networks HM Luu, DH Kim, JW Kim, SH Choi, SH Park Magnetic Resonance in Medicine 85 (1), 298-308, 2021 | 14 | 2021 |
Feasibility of synthetic computed tomography images generated from magnetic resonance imaging scans using various deep learning methods in the planning of radiation therapy for … GS Yoo, HM Luu, H Kim, W Park, H Pyo, Y Han, JY Park, SH Park Cancers 14 (1), 40, 2021 | 13 | 2021 |
Simultaneously optimizing sampling pattern for joint acceleration of multi‐contrast MRI using model‐based deep learning S Seo, HM Luu, SH Choi, SH Park Medical Physics 49 (9), 5964-5980, 2022 | 7 | 2022 |
Varying undersampling directions for accelerating multiple acquisition magnetic resonance imaging KH Kim, S Seo, WJ Do, HM Luu, SH Park NMR in Biomedicine 35 (4), e4572, 2022 | 3 | 2022 |
SIMPLEX: Multiple phase-cycled bSSFP quantitative magnetization transfer imaging with physic-guided simulation learning of neural network HM Luu, SH Park NeuroImage 284, 120449, 2023 | 2 | 2023 |
CycleSeg: MR-to-CT Synthesis and Segmentation Network for Prostate Radiotherapy Treatment Planning HM Luu, G Yoo, DH Kim, W Park, SH Park 2021 ISMRM & SMRT Annual Meeting & Exhibition, 813, 2021 | 1 | 2021 |
CycleSeg: Simultaneous synthetic CT generation and unsupervised segmentation for MR‐only radiotherapy treatment planning of prostate cancer HM Luu, GS Yoo, W Park, SH Park Medical Physics, 2024 | | 2024 |
Improving bSSFP-based quantitative magnetization transfer imaging with MR physics-informed artificial neural network HM Luu, SH Park 2023 ISMRM & ISMRT Annual Meeting & Exhibition, 912, 2023 | | 2023 |
CycleSeg-v2: Improving unpaired MR-to-CT Synthesis and Segmentation with pseudo label and LPIPS loss HM Luu, GS Yoo, W Park, SH Park 2022 Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, 829, 2022 | | 2022 |
Sampling Pattern Optimization for Joint Acceleration of Multi-contrast MRI using Deep Learning S Seo, HM Luu, SH Choi, SH Park 2022 Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, 1166, 2022 | | 2022 |
qMTNet+: artificial neural network with residual connection for accelerated quantitative magnetization transfer imaging HM Luu, DH Kim, SH Choi, SH Park 2021 ISMRM & SMRT Annual Meeting & Exhibition, 2162, 2021 | | 2021 |
qMTNet+, an Improved qMTNet with Residual Connection for Accelerated Quantitative Magnetization Transfer Imaging HM Luu, DH Kim, SH Choi, SH Park Investigative Magnetic Resonance Imaging 24 (4), 241-251, 2020 | | 2020 |
Convolutional Neural Network for Slice Encoding for Metal Artifact Correction (SEMAC) MRI S Seo, WJ Do, HM Luu, KH Kim, SH Choi, SH Park 2020 ISMRM & SMRT Virtual Conference & Exhibition, 674, 2020 | | 2020 |
qMTNet: Accelerated Quantitative Magnetization Transfer Imaging with Neural Networks HM Luu, DH Kim, JW Kim, SH Choi, SH Park 2020 ISMRM & SMRT Virtual Conference & Exhibition, 3132, 2020 | | 2020 |
Automatic diagnosis and localization of tuberculosis in chest radiographs with deep learning MH Luu 한국과학기술원, 2019 | | 2019 |