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Showing results 1 to 14 of 14

1	Artificial neural network for Slice Encoding for Metal Artifact Correction (SEMAC) MRI Seo, Sunghun; Do, Won-Joon; Luu, Huan Minh; Kim, Ki Hwan; Choi, Seung Hong; Park, Sung-Hong, MAGNETIC RESONANCE IN MEDICINE, v.84, no.1, pp.263 - 276, 2020-07
2	Convolutional Neural Network for Slice Encoding for Metal Artifact Correction (SEMAC) MRI Seo, Sunghun; Do, Won-Joon; Luu, Huan Minh; Kim, Ki Hwan; Choi, Seung Hong; Park, Sung-Hong, 2020 ISMRM & SMRT Virtual Conference & Exhibition, pp.674, International Society for Magnetic Resonance in Medicine, 2020-08-14
3	CycleSeg-v2: Improving unpaired MR-to-CT Synthesis and Segmentation with pseudo label and LPIPS loss Luu, Huan Minh; Yoo, Gyu Sang; Park, Won; Park, Sung-Hong, 2022 Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, pp.829, International Society for Magnetic Resonance in Medicine, 2022-05-09
4	CycleSeg: MR-to-CT Synthesis and Segmentation Network for Prostate Radiotherapy Treatment Planning Luu, Huan Minh; Yoo, Gyu-Sang; Park, Won; Park, Sung-Hong, 2021 ISMRM & SMRT Annual Meeting & Exhibition, pp.813, International Society for Magnetic Resonance in Medicine, 2021-05-17
5	Extending nn-UNet for Brain Tumor Segmentation Luu, Huan Minh; Park, Sung-Hong, 7th International Brain Lesion Workshop, BrainLes 2021, held in conjunction with the Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, pp.173 - 186, Springer Science and Business Media Deutschland GmbH, 2021-09
6	Feasibility of Synthetic Computed Tomography Images Generated from Magnetic Resonance Imaging Scans Using Various Deep Learning Methods in the Planning of Radiation Therapy for Prostate Cancer Yoo, Gyu Sang; Luu, Huan Minh; Kim, Heejung; Park, Won; Pyo, Hongryull; Han, Youngyih; Park, Ju Young; et al, CANCERS, v.14, no.1, pp.40, 2022-01
7	Improving bSSFP-based quantitative magnetization transfer imaging with MR physics-informed artificial neural network Luu, Huan Minh; Park, Sung-Hong, 2023 ISMRM & ISMRT Annual Meeting & Exhibition , pp.912, International Society for Magnetic Resonance in Medicine, 2023-06-07
8	qMTNet+: artificial neural network with residual connection for accelerated quantitative magnetization transfer imaging Luu, Huan Minh; Kim, Dong-Hyun; Choi, Seung Hong; Park, Sung-Hong, 2021 ISMRM & SMRT Annual Meeting & Exhibition, pp.2162, International Society for Magnetic Resonance in Medicine, 2021-05-20
9	qMTNet: Accelerated Quantitative Magnetization Transfer Imaging with Artificial Neural Networks Luu, Huan Minh; Kim, Dong-Hyun; Kim, Jae-Woong; Choi, Seung Hong; Park, Sung-Hong, MAGNETIC RESONANCE IN MEDICINE, v.85, no.1, pp.312 - 322, 2021-01
10	qMTNet: Accelerated Quantitative Magnetization Transfer Imaging with Neural Networks Luu, Huan Minh; Kim, Dong-Hyun; Kim, Jae-Woong; Choi, Seung Hong; Park, Sung-Hong, 2020 ISMRM & SMRT Virtual Conference & Exhibition, pp.3132, International Society for Magnetic Resonance in Medicine, 2020-08-12
11	Sampling Pattern Optimization for Joint Acceleration of Multi-contrast MRI using Deep Learning Seo, Sunghun; Luu, Huan Minh; Choi, Seung Hong; Park, Sung-Hong, 2022 Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, pp.1166, International Society for Magnetic Resonance in Medicine, 2022-05-09
12	SIMPLEX: Multiple phase-cycled bSSFP quantitative magnetization transfer imaging with physic-guided simulation learning of neural network Luu, Huan Minh; Park, Sung-Hong, NEUROIMAGE, v.284, no.1, 2023-12
13	Simultaneously optimizing sampling pattern for joint acceleration of multi-contrast MRI using model-based deep learning Seo, Sunghun; Luu, Huan Minh; Choi, Seung Hong; Park, Sung-Hong, MEDICAL PHYSICS, v.49, no.9, pp.5964 - 5980, 2022-09
14	Varying undersampling directions for accelerating multiple acquisition magnetic resonance imaging Kim, Ki Hwan; Seo, Sunghun; Do, Won-Joon; Luu, Huan Minh; Park, Sung-Hong, NMR IN BIOMEDICINE, v.35, no.4, 2022-04

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