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Feiyu Chen
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Compressed sensing: From research to clinical practice with deep neural networks: Shortening scan times for magnetic resonance imaging
CM Sandino, JY Cheng, F Chen, M Mardani, JM Pauly, SS Vasanawala
IEEE signal processing magazine 37 (1), 117-127, 2020
1432020
Variable-density single-shot fast spin-echo MRI with deep learning reconstruction by using variational networks
F Chen, V Taviani, I Malkiel, JY Cheng, JI Tamir, J Shaikh, ST Chang, ...
Radiology 289 (2), 366-373, 2018
1312018
Highly scalable image reconstruction using deep neural networks with bandpass filtering
JY Cheng, F Chen, MT Alley, JM Pauly, SS Vasanawala
arXiv preprint arXiv:1805.03300, 2018
572018
RUN‐UP: Accelerated multishot diffusion‐weighted MRI reconstruction using an unrolled network with U‐Net as priors
Y Hu, Y Xu, Q Tian, F Chen, X Shi, CJ Moran, BL Daniel, BA Hargreaves
Magnetic resonance in medicine 85 (2), 709-720, 2021
332021
Data‐driven self‐calibration and reconstruction for non‐cartesian wave‐encoded single‐shot fast spin echo using deep learning
F Chen, JY Cheng, V Taviani, VR Sheth, RL Brunsing, JM Pauly, ...
Journal of Magnetic Resonance Imaging 51 (3), 841-853, 2020
302020
Self‐calibrating wave‐encoded variable‐density single‐shot fast spin echo imaging
F Chen, V Taviani, JI Tamir, JY Cheng, T Zhang, Q Song, BA Hargreaves, ...
Journal of Magnetic Resonance Imaging 47 (4), 954-966, 2018
272018
Autocalibrating motion‐corrected wave‐encoding for highly accelerated free‐breathing abdominal MRI
F Chen, T Zhang, JY Cheng, X Shi, JM Pauly, SS Vasanawala
Magnetic resonance in medicine 78 (5), 1757-1766, 2017
232017
Compressed sensing: From research to clinical practice with data-driven learning
JY Cheng, F Chen, C Sandino, M Mardani, JM Pauly, SS Vasanawala
arXiv preprint arXiv:1903.07824, 2019
142019
Semi-supervised learning for reconstructing under-sampled MR scans
F Chen, JY Cheng, JM Pauly, SS Vasanawala
Proceedings of the 27th Annual Meeting of ISMRM, 2019
122019
System and method for performing wave-encoded magnetic resonance imaging of an object
F Chen, Z Tao, JY Cheng, V Taviani, B Hargreaves, J Pauly, ...
US Patent 10,520,573, 2019
92019
Method for performing magnetic resonance imaging reconstruction with unsupervised deep learning
JY Cheng, F Chen, JM Pauly, SS Vasanawala
US Patent 10,740,931, 2020
82020
Accelerated model-based proton resonance frequency shift temperature mapping using echo-based GRAPPA reconstruction
F Chen, X Shi, S Chen, EM Johnson, B Chen, G Ren, X Wei, S Wang, ...
Magnetic resonance imaging 33 (2), 240-245, 2015
82015
Pedestrian crossing action recognition and trajectory prediction with 3d human keypoints
J Li, X Shi, F Chen, J Stroud, Z Zhang, T Lan, J Mao, J Kang, KS Refaat, ...
2023 IEEE International Conference on Robotics and Automation (ICRA), 1463-1470, 2023
62023
Highly scalable image reconstruction using deep neural networks with bandpass filtering; 2018
JY Cheng, F Chen, MT Alley, JM Pauly, SS Vasanawala
Available: https: arXiv: org/abs, 1805
51805
Accelerated T2-weighted imaging of the abdomen with self-calibrating wave-encoded 3D fast spin echo sequences
F Chen, V Taviani, JY Cheng, JM Pauly, SS Vasanawala
Proc. Intl. Soc. Mag. Reson. Med 26, 211, 2018
22018
Variable density single-shot fast spin echo with auto-calibrated wave encoding
F Chen, V Taviani, JY Cheng, T Zhang, BA Hargreaves, JM Pauly, ...
Proc. Intl. Soc. Mag. Reson. Med 25, 1038, 2017
22017
Auto-Calibrating Wave-CS for Motion-Robust Accelerated MRI
F Chen, T Zhang, JY Cheng, JM Pauly, SS Vasanawala
Proc. Intl. Soc. Mag. Reson. Med 24, 1857, 2016
22016
Improving variable-density single-shot fast spin echo with deep-learning reconstruction using variational networks
F Chen, V Taviani, I Malkiel, JY Cheng, J Shaikh, S Chang, CJ Hardy, ...
ISMRM 26th Annual Meeting, 0617, 2018
12018
Motion-robustness evaluation and motion correction of wave-encoding
F Chen, JY Cheng, T Zhang, JM Pauly, SS Vasanawala
Proc. Intl. Soc. Mag. Reson. Med 25, 4019, 2017
12017
Automatic Linesman System for Badminton Games
F Chen, H Wang
Technical Report, Stanford University, 2014
12014
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