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Renxin Chu

Showing results (1-10 of 47) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|September 11, 2024
TFG-Net: A Text Feature-Guided Network for Small Traffic Sign DetectionXuesong Liu, Renxin Chu, Baolin Liu
Computational and Mathematical Methods in Medicine|April 16, 2014
Enhancing the detection of BOLD signal in fMRI by reducing the partial volume effectYiping P Du, Renxin Chu, Jason R Tregellas
BMC Neurology|September 7, 2017
Automated segmentation of cerebral deep gray matter from MRI scans: effect of field strength on sensitivity and reliabilityRenxin Chu, Shelley Hurwitz, Shahamat Tauhid, et al.
Medical Physics|April 16, 2026
Determinants and expected differences in the calculation of CT effective dose conversion factors for various phantom sizes and scan parametersRenxin Chu, Jelena Mihailovic, Choonsik Lee, et al.
Magnetic Resonance in Medicine|March 12, 2011
Multipathway sequences for MR thermometryBruno Madore, Lawrence P Panych, Chang-Sheng Mei, et al.
Neurology and Therapy|October 17, 2016
The Effect of Dimethyl Fumarate on Cerebral Gray Matter Atrophy in Multiple SclerosisSheena L Dupuy, Shahamat Tauhid, Shelley Hurwitz, et al.
Plos One|November 9, 2018
Whole brain and deep gray matter atrophy detection over 5 years with 3T MRI in multiple sclerosis using a variety of automated segmentation pipelinesRenxin Chu, Gloria Kim, Shahamat Tauhid, et al.
Magnetic Resonance Imaging|March 15, 2011
Retrospectively gated cardiac cine imaging with temporal and spatial accelerationBruno Madore, W Scott Hoge, Tzu-Cheng Chao, et al.
Magnetic Resonance in Medicine|July 1, 2014
Accurate field mapping in the presence of B0 inhomogeneities, applied to MR thermometryChang-Sheng Mei, Renxin Chu, W Scott Hoge, et al.
Brain and Behavior|July 19, 2018
Whole-brain atrophy assessed by proportional- versus registration-based pipelines from 3T MRI in multiple sclerosisChristopher C Hemond, Renxin Chu, Subhash Tummala, et al.
Pageof 5

Showing results (1-10 of 47) with videos related to

Sort By:
Pageof 5
IEEE Transactions on Neural Networks and Learning Systems|September 11, 2024
TFG-Net: A Text Feature-Guided Network for Small Traffic Sign DetectionXuesong Liu, Renxin Chu, Baolin Liu
Computational and Mathematical Methods in Medicine|April 16, 2014
Enhancing the detection of BOLD signal in fMRI by reducing the partial volume effectYiping P Du, Renxin Chu, Jason R Tregellas
BMC Neurology|September 7, 2017
Automated segmentation of cerebral deep gray matter from MRI scans: effect of field strength on sensitivity and reliabilityRenxin Chu, Shelley Hurwitz, Shahamat Tauhid, et al.
Medical Physics|April 16, 2026
Determinants and expected differences in the calculation of CT effective dose conversion factors for various phantom sizes and scan parametersRenxin Chu, Jelena Mihailovic, Choonsik Lee, et al.
Magnetic Resonance in Medicine|March 12, 2011
Multipathway sequences for MR thermometryBruno Madore, Lawrence P Panych, Chang-Sheng Mei, et al.
Neurology and Therapy|October 17, 2016
The Effect of Dimethyl Fumarate on Cerebral Gray Matter Atrophy in Multiple SclerosisSheena L Dupuy, Shahamat Tauhid, Shelley Hurwitz, et al.
Plos One|November 9, 2018
Whole brain and deep gray matter atrophy detection over 5 years with 3T MRI in multiple sclerosis using a variety of automated segmentation pipelinesRenxin Chu, Gloria Kim, Shahamat Tauhid, et al.
Magnetic Resonance Imaging|March 15, 2011
Retrospectively gated cardiac cine imaging with temporal and spatial accelerationBruno Madore, W Scott Hoge, Tzu-Cheng Chao, et al.
Magnetic Resonance in Medicine|July 1, 2014
Accurate field mapping in the presence of B0 inhomogeneities, applied to MR thermometryChang-Sheng Mei, Renxin Chu, W Scott Hoge, et al.
Brain and Behavior|July 19, 2018
Whole-brain atrophy assessed by proportional- versus registration-based pipelines from 3T MRI in multiple sclerosisChristopher C Hemond, Renxin Chu, Subhash Tummala, et al.
Pageof 5