Shuo Chen
Tsinghua University
30 Papers
85 Citations
Shuo Chen is an academic researcher from Tsinghua University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 7, co-authored 18 publications. Previous affiliations of Shuo Chen include Capital Medical University.
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Papers
Association Between Carotid Atherosclerotic Plaque Calcification and Intraplaque Hemorrhage: A Magnetic Resonance Imaging Study.
TL;DR: Surface calcification and multiple calcifications in carotid atherosclerotic plaques are independently associated with the presence of IPH, suggesting that both quantity and location of calcification may play important roles in the occurrence of IPh.
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Identification of intraplaque haemorrhage in carotid artery by simultaneous non-contrast angiography and intraPlaque haemorrhage (SNAP) imaging: a magnetic resonance vessel wall imaging study
Dongye Li,Huilin Zhao,Xiaoyi Chen,Xiaoyi Chen,Shuo Chen,Huiyu Qiao,Le He,Rui Li,Jianrong Xu,Chun Yuan,Chun Yuan,Xihai Zhao +11 more
TL;DR: Compared with the MP-RAGE sequence, SNAP imaging detects more IPHs, particularly for smaller IPH's, suggesting that SNAP imaging might be a more sensitive tool for identification of carotid haemorrhagic plaques.
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Evaluation of carotid atherosclerotic plaque surface characteristics utilizing simultaneous noncontrast angiography and intraplaque hemorrhage (SNAP) technique.
Shuo Chen,Huilin Zhao,Jifan Li,Zechen Zhou,Rui Li,Niranjan Balu,Chun Yuan,Chun Yuan,Huijun Chen,Xihai Zhao +9 more
TL;DR: The feasibility of the Simultaneous Noncontrast Angiography and intraPlaque hemorrhage (SNAP) technique in identification of carotid plaque surface characteristics compared with the conventional multicontrast vessel wall imaging protocol is evaluated.
MR fingerprinting reconstruction with Kalman filter
TL;DR: A reconstruction method based on Kalman filter for MRF, which avoids the use of dictionary to obtain continuous MR parameter measurements and eliminating the need for a pre-define dictionary is described.
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Kalman Filtered Bio Heat Transfer Model Based Self-adaptive Hybrid Magnetic Resonance Thermometry
TL;DR: The proposed Kalman filtered Bio Heat Transfer Model Based Self- Adaptive Hybrid Magnetic Resonance Thermometry, abbreviated as KalBHT hybrid method, introduced the BHTE model to synthesize a window on the regularization term of the hybrid algorithm, which leads to a self-adaptive regularization both spatially and temporally with change of temperature.
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