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IDA-Net: Inheritable Deformable Attention Network of structural MRI for Alzheimer's Disease Diagnosis Journal article
Zhao,Qin, Huang,Guoheng, Xu,Pingping, Chen,Ziyang, Li,Wenyuan, Yuan,Xiaochen, Zhong,Guo, Pun,Chi Man, Huang,Zhixin. IDA-Net: Inheritable Deformable Attention Network of structural MRI for Alzheimer's Disease Diagnosis[J]. Biomedical Signal Processing and Control, 2023, 84, 104787.
Authors:  Zhao,Qin;  Huang,Guoheng;  Xu,Pingping;  Chen,Ziyang;  Li,Wenyuan; et al.
Favorite | TC[WOS]:10 TC[Scopus]:12  IF:4.9/4.9 | Submit date：2023/08/03
Alzheimer's Disease Diagnosis  Computer-aided Diagnosis  Deep Learning  Deformation  Inheritance  Self-attention  Structural Magnetic Resonance Image  Transformer  
Multi-scale 3D convolution feature-based Broad Learning System for Alzheimer's Disease diagnosis via MRI images Journal article
Han, Ruizhi, Liu, Zhulin, Chen, C. L.Philip. Multi-scale 3D convolution feature-based Broad Learning System for Alzheimer's Disease diagnosis via MRI images[J]. Applied Soft Computing, 2022, 120, 108660.
Authors:  Han, Ruizhi;  Liu, Zhulin;  Chen, C. L.Philip
Favorite | TC[WOS]:18 TC[Scopus]:20  IF:7.2/7.0 | Submit date：2022/05/13
Alzheimer's Disease  Broad Learning System  Convolutional Neural Network  Image Classification  Magnetic Resonance Imaging  
Three‐dimensional reconstruction of Kambin's triangle based on automated magnetic resonance image segmentation Journal article
Zhihai Su, Zheng Liu, Min Wang, Shaolin Li, Liyan Lin, Zhen Yuan, Shumao Pang, Qianjin Feng, Tao Chen, Hai Lu. Three‐dimensional reconstruction of Kambin's triangle based on automated magnetic resonance image segmentation[J]. Journal of Orthopaedic Research, 2022, 40(12), 2914-2923.
Authors:  Zhihai Su;  Zheng Liu;  Min Wang;  Shaolin Li;  Liyan Lin; et al.
Adobe PDF | Favorite | TC[WOS]:10 TC[Scopus]:11  IF:2.1/2.9 | Submit date：2022/08/21
Automated Magnetic Resonance Image Segmentation,  Kambin's Triangle  Spinal Structures  Three‐dimensional Reconstruction  
Effects of TIP treatment on brain network topology of frontolimbic circuit in first-episode, treatment-naïve major depressive disorder Journal article
Lv,Xueyu, Lu,Fengmei, Zhang,Jinhua, Chen,Heng, Zhang,Liang, Wang,Xiaoling, Fan,Yangyang, Fang,Jiliang, Hong,Lan, Wang,Jian, Liu,Chunhong, Yuan,Zhen, He,Zongling, Wang,Weidong. Effects of TIP treatment on brain network topology of frontolimbic circuit in first-episode, treatment-naïve major depressive disorder[J]. Journal of Affective Disorders, 2021, 279, 122-130.
Authors:  Lv,Xueyu;  Lu,Fengmei;  Zhang,Jinhua;  Chen,Heng;  Zhang,Liang; et al.
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:4.9/5.4 | Submit date：2021/03/04
Graph Theoretical Analysis  Low Resistance Thought Induction Psychotherapy  Major Depressive Disorder  Resting-state Functional Magnetic Resonance Image  
MR Image Denoising by FGMM Clustering of Image Patches Conference paper
Shi, Zhaoyin, Chen, Long. MR Image Denoising by FGMM Clustering of Image Patches[C]. Peng Y., Hu S.-M., Gabbouj M., Zhou K., Elad M., Xu K.:Springer Science and Business Media Deutschland GmbH, 2021, 597-606.
Authors:  Shi, Zhaoyin;  Chen, Long
Favorite | TC[Scopus]:1 | Submit date：2022/05/13
Magnetic Resonance Images  Clustering  Image Denoising  Fuzzy Gaussian Mixture Model  Image Patches  
Super resolution reconstruction of brain MR image based on convolution sparse network Conference paper
Liu C., Wu X., Tang Y.Y., Yu X., Zhao W., Zhang L.. Super resolution reconstruction of brain MR image based on convolution sparse network[C], 2017, 275-278.
Authors:  Liu C.;  Wu X.;  Tang Y.Y.;  Yu X.;  Zhao W.; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2 | Submit date：2019/02/11
Convolution Neural Network  Magnetic Resonance Image  Super Resolution Reconstruction  
Automatic Quantitative Detection Algorithm of Abdominal Fat Based on Improved K-Means Algorithm Journal article
Cao H., Sheng B., Wu W., Wu E.. Automatic Quantitative Detection Algorithm of Abdominal Fat Based on Improved K-Means Algorithm[J]. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2017, 29(4), 575-583.
Authors:  Cao H.;  Sheng B.;  Wu W.;  Wu E.
Favorite |  | Submit date：2019/02/13
Fat Measurement  Image Processing  Image Segmentation  K-means Algorithm  Magnetic Resonance Image  Slic Algorithm