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Huan Minh Luu

Showing results (1-10 of 9) with videos related to

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Neuroimage|November 11, 2023
SIMPLEX: Multiple phase-cycled bSSFP quantitative magnetization transfer imaging with physic-guided simulation learning of neural networkHuan Minh Luu, Sung-Hong Park
Magnetic Resonance in Medicine|May 9, 2026
Physics-Guided Neural Network for Quantitative Parameter Mapping Using Balanced Steady State Free Precession MRIHye-Ryeong Choi, Huan Minh Luu, Sung-Hong Park
Medical Physics|February 7, 2024
CycleSeg: Simultaneous synthetic CT generation and unsupervised segmentation for MR-only radiotherapy treatment planning of prostate cancerHuan Minh Luu, Gyu Sang Yoo, Won Park, et al.
Medical Physics|June 9, 2022
Simultaneously optimizing sampling pattern for joint acceleration of multi-contrast MRI using model-based deep learningSunghun Seo, Huan Minh Luu, Seung Hong Choi, et al.
NMR in Biomedicine|June 11, 2021
Varying undersampling directions for accelerating multiple acquisition magnetic resonance imagingKi Hwan Kim, Sunghun Seo, Won-Joon Do, et al.
Magnetic Resonance in Medicine|July 10, 2020
qMTNet: Accelerated quantitative magnetization transfer imaging with artificial neural networksHuan Minh Luu, Dong-Hyun Kim, Jae-Woong Kim, et al.
Magnetic Resonance in Medicine|December 12, 2019
Artificial neural network for Slice Encoding for Metal Artifact Correction (SEMAC) MRISunghun Seo, Won-Joon Do, Huan Minh Luu, et al.
Cancers|January 11, 2022
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 CancerGyu Sang Yoo, Huan Minh Luu, Heejung Kim, et al.
Nature Communications|July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challengeMaximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Neuroimage|November 11, 2023
SIMPLEX: Multiple phase-cycled bSSFP quantitative magnetization transfer imaging with physic-guided simulation learning of neural networkHuan Minh Luu, Sung-Hong Park
Magnetic Resonance in Medicine|May 9, 2026
Physics-Guided Neural Network for Quantitative Parameter Mapping Using Balanced Steady State Free Precession MRIHye-Ryeong Choi, Huan Minh Luu, Sung-Hong Park
Medical Physics|February 7, 2024
CycleSeg: Simultaneous synthetic CT generation and unsupervised segmentation for MR-only radiotherapy treatment planning of prostate cancerHuan Minh Luu, Gyu Sang Yoo, Won Park, et al.
Medical Physics|June 9, 2022
Simultaneously optimizing sampling pattern for joint acceleration of multi-contrast MRI using model-based deep learningSunghun Seo, Huan Minh Luu, Seung Hong Choi, et al.
NMR in Biomedicine|June 11, 2021
Varying undersampling directions for accelerating multiple acquisition magnetic resonance imagingKi Hwan Kim, Sunghun Seo, Won-Joon Do, et al.
Magnetic Resonance in Medicine|July 10, 2020
qMTNet: Accelerated quantitative magnetization transfer imaging with artificial neural networksHuan Minh Luu, Dong-Hyun Kim, Jae-Woong Kim, et al.
Magnetic Resonance in Medicine|December 12, 2019
Artificial neural network for Slice Encoding for Metal Artifact Correction (SEMAC) MRISunghun Seo, Won-Joon Do, Huan Minh Luu, et al.
Cancers|January 11, 2022
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 CancerGyu Sang Yoo, Huan Minh Luu, Heejung Kim, et al.
Nature Communications|July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challengeMaximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
Pageof 1