Tianming Zhan

发表

Fractal Dimension Estimation for Developing Pathological Brain Detection System Based on Minkowski-Bouligand Method

Yudong Zhang, Yu Yao, Shuihua Wang, 2016, IEEE Access.

A Target Detection Method Based on Low-Rank Regularized Least Squares Model for Hyperspectral Images

Yang Xu, Fu Xiao, Zhihui Wei, 2016, IEEE Geoscience and Remote Sensing Letters.

Discriminant maximum margin projections for face recognition

Limin Luo, Tianming Zhan, Pu Huang, 2018, Multimedia Tools and Applications.

A method of visibility forecast based on hierarchical sparse representation

Tianming Zhan, You Fu, Zhenyu Lu, 2019, J. Vis. Commun. Image Represent..

Hyperspectral Classification via Superpixel Kernel Learning-Based Low Rank Representation

Yang Xu, Guowei Yang, Tianming Zhan, 2018, Remote. Sens..

Brain Tumor Segmentation Using Deep Belief Networks and Pathological Knowledge.

Yi Chen, Tianming Zhan, Zhenyu Lu, 2017, CNS & neurological disorders drug targets.

Robust Regression-Based Markov Random Field for Hyperspectral Image Classification

Le Sun, Yang Xu, Guowei Yang, 2019, IEEE Access.

Hyperspectral Classification Via Low-Rank Component Induced Spatial-Spectral Kernel

Tianming Zhan, Le Sun, Fei Yan, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Weighted Collaborative Sparse and L1/2 Low-Rank Regularizations With Superpixel Segmentation for Hyperspectral Unmixing

Le Sun, Wei Liu, Tianming Zhan, 2020, IEEE Geoscience and Remote Sensing Letters.

A Novel 3D Anisotropic Total Variation Regularized Low Rank Method for Hyperspectral Image Mixed Denoising

Tianming Zhan, Byeungwoo Jeon, Le Sun, 2018, ISPRS Int. J. Geo Inf..

Brain Lesion Segmentation Based on Joint Constraints of Low-Rank Representation and Sparse Representation

Tianming Zhan, Wanrong Gao, Ting Ge, 2019, Comput. Intell. Neurosci..

A Stackable Attention-Guided Multi-scale CNN for Number Plate Detection

Zhihui Wei, Yixuan Wang, Tianming Zhan, 2019, ICIG.

A Hybrid Task Scheduling Scheme for Heterogeneous Vehicular Edge Systems

Jie Ding, Tianming Zhan, Nigel Thomas, 2019, IEEE Access.

The classification of gliomas based on a Pyramid dilated convolution resnet model

Shanshan Lu, Shuihua Wang, Tianming Zhan, 2020, Pattern Recognit. Lett..

Multimodal spatial-based segmentation framework for white matter lesions in multi-sequence magnetic resonance images

Yongzhao Zhan, Yu Zheng, Liang Xiao, 2017, Biomed. Signal Process. Control..

Tri-Direction 2D-Fisher Discriminant Analysis (T2D-FDA) for Feature Extraction

Hao Zheng, Guowei Yang, Tianming Zhan, 2019, IEEE Access.

Brain Tumor Segmentation in Multi-modality MRIs Using Multiple Classifier System and Spatial Constraint

Yongzhao Zhan, Shenghua Gu, Tianming Zhan, 2015, 2015 3rd International Conference on Computer, Information and Application.

Research on Simulation Technology of Cooperative Guidance for Aircraft Formation

Jin Liu, Tianming Zhan, Jing Li, 2021 .

Automatic method for white matter lesion segmentation based on T1-fluid-attenuated inversion recovery images

Yongzhao Zhan, Zhe Liu, Liang Xiao, 2015, IET Comput. Vis..

Hyperspectral Image Restoration for Non-additive Noise

Tianming Zhan, Zhangjing Yang, Fanlong Zhang, 2020, PRCV.

A parametric statistic model and fast algorithm for brain MR image segmentation and bias correction

Liang Xiao, Zhihui Wei, Tianming Zhan, 2012, Medical Imaging.

Weighted Nonlocal Low-Rank Tensor Decomposition Method for Sparse Unmixing of Hyperspectral Images

Wei Liu, Jin Wang, Tianming Zhan, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Smart pathological brain detection by synthetic minority oversampling technique, extreme learning machine, and Jaya algorithm

Yudong Zhang, Zhiheng Wang, Hongmin Liu, 2017, Multimedia Tools and Applications.

Unsupervised multi-manifold linear differential projection(UMLDP) for face recognition

Limin Luo, Zhihui Lai, Tianming Zhan, 2018, Multimedia Tools and Applications.

Hyperspectral classification using an adaptive spectral-spatial kernel-based low-rank approximation

Le Sun, Yang Xu, Guowei Yang, 2019 .

3-D Channel and Spatial Attention Based Multiscale Spatial–Spectral Residual Network for Hyperspectral Image Classification

Tianming Zhan, Le Sun, Songze Tang, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Brain MR image segmentation and bias field correction using adaptive fuzzy C means model

Jun Zhang, Liang Xiao, Zhihui Wei, 2010, 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering.

Neutrosophic C-means clustering with local information and noise distance-based kernel metric image segmentation

Tianming Zhan, Zhenyu Lu, Yunan Qiu, 2019, J. Vis. Commun. Image Represent..

Hyperspectral image classification using multilayer superpixel graph and loopy belief propagation

Yongzhao Zhan, Yang Xu, Tianming Zhan, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

SVDTWDD Method for High Correct Recognition Rate Classifier With Appropriate Rejection Recognition Regions

Guowei Yang, Teng Yu, Zhihui Lai, 2020, IEEE Access.

Multiscale Superpixel Kernel-Based Low-Rank Representation for Hyperspectral Image Classification

Tianming Zhan, Zhenyu Lu, Minghua Wan, 2020, IEEE Geoscience and Remote Sensing Letters.

A novel method for breast mass segmentation: from superpixel to subpixel segmentation

Yi Chen, Shenghua Gu, Yunjie Chen, 2019, Machine Vision and Applications.

Research on Visibility Forecast Based on LSTM Neural Network

Tianming Zhan, Zhenyu Lu, Hengde Zhang, 2018, ICSINC 2018 Fall.

A Fast Hyperspectral Classification Method by Integrating Rotational Invariant Linear Discriminant Analysis and Nearest Regularized Subspace

Tianming Zhan, Cheng Yang, Xihu Wang, 2018, 2018 IEEE International Conference on Progress in Informatics and Computing (PIC).

Multi-object Detection Method based on YOLO and ResNet Hybrid Networks

Jia Lu, Tianming Zhan, Quanbo Ge, 2019, 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM).

Hyperspectral Mixed Denoising via Spectral Difference-Induced Total Variation and Low-Rank Approximation

Liang Xiao, Tianming Zhan, Byeungwoo Jeon, 2018, Remote. Sens..

Multiple Sclerosis Detection Based on Biorthogonal Wavelet Transform, RBF Kernel Principal Component Analysis, and Logistic Regression

Huimin Lu, Ming Yang, Bin Liu, 2016, IEEE Access.

A Glioma Segmentation Method Using CoTraining and Superpixel-Based Spatial and Clinical Constraints

Guowei Yang, Yunjie Chen, Tianming Zhan, 2018, IEEE Access.

Neutrosophic C-means Clustering with Local Information and Noise Distance-Based Kernel Metric Image Segmentation

Tianming Zhan, Zhenyu Lu, Yunan Qiu, 2018, PCM.

An automatic glioma grading method based on multi-feature extraction and fusion.

Yudong Zhang, Tianming Zhan, Zhenyu Lu, 2017, Technology and health care : official journal of the European Society for Engineering and Medicine.

TDSSC: A Three-Directions Spectral–Spatial Convolution Neural Network for Hyperspectral Image Change Detection

Le Sun, Tianming Zhan, Xiuping Jia, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Multigrid Nonlocal Gaussian Mixture Model for Segmentation of Brain Tissues in Magnetic Resonance Images

Ji Zhang, Hongyuan Wang, Yunjie Chen, 2016, BioMed research international.

PM2.5 Concentration Forecast Based on Hierarchical Sparse Representation

Tianming Zhan, Zhenyu Lu, Bingjian Lu, 2019 .

An Efficient Formal Modeling Framework for Hybrid Cloud-fog Systems

Jie Ding, Tianming Zhan, Xiao Chen, 2020 .

Coupled dictionary learning on common feature space for medical image super resolution

Lili Huang, Tianming Zhan, Nan Zhou, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Dog Face Recognition Algorithm Based on DC-Attention-SSD Neural Network

Tianming Zhan, Quanbo Ge, Zhenyu Lu, 2019, 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM).

A cloud computing architecture for characterization and classification of moving object

Yongzhao Zhan, Xiao Jun Chen, Jia Ke, 2016, Multimedia Tools and Applications.

Tensor Regression and Image Fusion-Based Change Detection Using Hyperspectral and Multispectral Images

Tianming Zhan, Zebin Wu, Yanwen Sun, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

BRCN-ERN: A Bidirectional Reconstruction Coding Network and Enhanced Residual Network for Hyperspectral Change Detection

Tianming Zhan, Zebin Wu, Yongsheng Tang, 2022, IEEE Geoscience and Remote Sensing Letters.

Anomaly Detection in Hyperspectral Image Using 3D-Convolutional Variational Autoencoder

Zhihui Wei, Tianming Zhan, Zebin Wu, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Sparse Graph Embedding Based on the Fuzzy Set for Image Classification

Guowei Yang, Tianming Zhan, Zhangjing Yang, 2021, Complex..

SSCNN-S: A Spectral-Spatial Convolution Neural Network with Siamese Architecture for Change Detection

Guowei Yang, Tianming Zhan, Minghua Wan, 2021, Remote. Sens..

Sparse fuzzy two-dimensional discriminant local preserving projection (SF2DDLPP) for robust image feature extraction

Guowei Yang, Tianming Zhan, Minghua Wan, 2021, Inf. Sci..

Brain tumor segmentation based on multi-scale superpixel and kernel low-rank representation

Tianming Zhan, Ting Ge, Shanxiang Mu, 2021, Other Conferences.

Supervised Low-Rank Embedded Regression (SLRER) for Robust Subspace Learning

Guowei Yang, Tianming Zhan, Minghua Wan, 2021, IEEE Transactions on Circuits and Systems for Video Technology.

Nearest regularized subspace based hyperspectral image classification with adaptive Markov Random Field and high confidence index rule

Tianming Zhan, Zebin Wu, Yang Xu, 2015, 2015 IEEE International Conference on Progress in Informatics and Computing (PIC).

Brain Tumor Segmentation from Multispectral MRIs Using Sparse Representation Classification and Markov Random Field Regularization

Yongzhao Zhan, Tianming Zhan, Can Feng, 2015 .