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Chaolu Feng

Showing results (31-40 of 37) with videos related to

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Computer Methods and Programs in Biomedicine|December 22, 2024
CMR-BENet: A confidence map refinement boundary enhancement network for left ventricular myocardium segmentationQi Yu, Hongxia Ning, Jinzhu Yang, et al.
Iscience|August 3, 2023
A general approach for automatic segmentation of pneumonia, pulmonary nodule, and tuberculosis in CT imagesLu Wang, He Zhou, Nan Xu, et al.
Frontiers in Neurorobotics|March 5, 2025
A survey of decision-making and planning methods for self-driving vehiclesJun Hu, Yuefeng Wang, Shuai Cheng, et al.
European Radiology|June 30, 2023
A deep learning method for the automated assessment of paradoxical pulsation after myocardial infarction using multicenter cardiac MRI dataBing-Hua Chen, Chong-Wen Wu, Dong-Aolei An, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 27, 2026
Incremental Prognostic Value of Pericardial Adipose Tissue Radiomic Phenotype Based on Cardiac MRI in Patients With End-Stage Renal DiseaseTian-Yi Zhang, Youqi Liu, Shuai-Zheng Chen, et al.
IEEE Transactions on Medical Imaging|February 19, 2026
FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical SegmentationJieyun Bai, Yitong Tang, Zihao Zhou, et al.
Medical Image Analysis|August 1, 2016
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRIOskar Maier, Bjoern H Menze, Janina von der Gablentz, et al.
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Showing results (31-40 of 37) with videos related to

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You have reached the last page of results.This site can display upto 37 results.
Computer Methods and Programs in Biomedicine|December 22, 2024
CMR-BENet: A confidence map refinement boundary enhancement network for left ventricular myocardium segmentationQi Yu, Hongxia Ning, Jinzhu Yang, et al.
Iscience|August 3, 2023
A general approach for automatic segmentation of pneumonia, pulmonary nodule, and tuberculosis in CT imagesLu Wang, He Zhou, Nan Xu, et al.
Frontiers in Neurorobotics|March 5, 2025
A survey of decision-making and planning methods for self-driving vehiclesJun Hu, Yuefeng Wang, Shuai Cheng, et al.
European Radiology|June 30, 2023
A deep learning method for the automated assessment of paradoxical pulsation after myocardial infarction using multicenter cardiac MRI dataBing-Hua Chen, Chong-Wen Wu, Dong-Aolei An, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 27, 2026
Incremental Prognostic Value of Pericardial Adipose Tissue Radiomic Phenotype Based on Cardiac MRI in Patients With End-Stage Renal DiseaseTian-Yi Zhang, Youqi Liu, Shuai-Zheng Chen, et al.
IEEE Transactions on Medical Imaging|February 19, 2026
FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical SegmentationJieyun Bai, Yitong Tang, Zihao Zhou, et al.
Medical Image Analysis|August 1, 2016
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRIOskar Maier, Bjoern H Menze, Janina von der Gablentz, et al.
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