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Computational Intelligence and Neuroscience
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July 5, 2022
Optimal Superpixel Kernel-Based Kernel Low-Rank and Sparsity Representation for Brain Tumour Segmentation
Ting Ge, Tianming Zhan, Qinfeng Li, et al.
Biomed Research International
|
September 21, 2016
Multigrid Nonlocal Gaussian Mixture Model for Segmentation of Brain Tissues in Magnetic Resonance Images
Yunjie Chen, Tianming Zhan, Ji Zhang, et al.
CNS & Neurological Disorders Drug Targets
|
January 17, 2017
Brain Tumor Segmentation Using Deep Belief Networks and Pathological Knowledge
Tianming Zhan, Yi Chen, Xunning Hong, et al.
Magnetic Resonance Imaging
|
December 11, 2012
An improved variational level set method for MR image segmentation and bias field correction
Tianming Zhan, Jun Zhang, Liang Xiao, et al.
Computational Intelligence and Neuroscience
|
July 30, 2019
Brain Lesion Segmentation Based on Joint Constraints of Low-Rank Representation and Sparse Representation
Ting Ge, Ning Mu, Tianming Zhan, et al.
Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|
June 7, 2017
An automatic glioma grading method based on multi-feature extraction and fusion
Tianming Zhan, Piaopiao Feng, Xunning Hong, et al.
Plos One
|
January 3, 2025
A weak edge estimation based multi-task neural network for OCT segmentation
Fan Yang, Pu Chen, Shiqi Lin, et al.
Stroke and Vascular Neurology
|
February 9, 2024
Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model
Ximing Nie, Jinxu Yang, Xinxin Li, et al.
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Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
Computational Intelligence and Neuroscience
|
July 5, 2022
Optimal Superpixel Kernel-Based Kernel Low-Rank and Sparsity Representation for Brain Tumour Segmentation
Ting Ge, Tianming Zhan, Qinfeng Li, et al.
Biomed Research International
|
September 21, 2016
Multigrid Nonlocal Gaussian Mixture Model for Segmentation of Brain Tissues in Magnetic Resonance Images
Yunjie Chen, Tianming Zhan, Ji Zhang, et al.
CNS & Neurological Disorders Drug Targets
|
January 17, 2017
Brain Tumor Segmentation Using Deep Belief Networks and Pathological Knowledge
Tianming Zhan, Yi Chen, Xunning Hong, et al.
Magnetic Resonance Imaging
|
December 11, 2012
An improved variational level set method for MR image segmentation and bias field correction
Tianming Zhan, Jun Zhang, Liang Xiao, et al.
Computational Intelligence and Neuroscience
|
July 30, 2019
Brain Lesion Segmentation Based on Joint Constraints of Low-Rank Representation and Sparse Representation
Ting Ge, Ning Mu, Tianming Zhan, et al.
Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|
June 7, 2017
An automatic glioma grading method based on multi-feature extraction and fusion
Tianming Zhan, Piaopiao Feng, Xunning Hong, et al.
Plos One
|
January 3, 2025
A weak edge estimation based multi-task neural network for OCT segmentation
Fan Yang, Pu Chen, Shiqi Lin, et al.
Stroke and Vascular Neurology
|
February 9, 2024
Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model
Ximing Nie, Jinxu Yang, Xinxin Li, et al.
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of 1