Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

3D Transformer-GAN for High-Quality PET Reconstruction.

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[DOI]

Yanmei Luo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A Self-Boosting Framework for Automated Radiographic Report Generation.

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis.

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[DOI]

IEEE Trans. Medical Imaging, 2020

Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis.

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[DOI]

IEEE Trans. Medical Imaging, 2020

Epileptic Seizure Classification With Symmetric and Hybrid Bilinear Models.

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[DOI]

IEEE J. Biomed. Health Informatics, 2020

Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification.

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[DOI]

IEEE J. Biomed. Health Informatics, 2020

Deep learning based HEp-2 image classification: A comprehensive review.

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[DOI]

Medical Image Anal., 2020

Class Distribution Alignment for Adversarial Domain Adaptation.

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[DOI]

CoRR, 2020

Improving Auto-Augment via Augmentation-Wise Weight Sharing.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation.

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[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

ReDro: Efficiently Learning Large-Sized SPD Visual Representation.

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[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation.

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[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis.

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[DOI]

IEEE Trans. Medical Imaging, 2019

3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis.

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[DOI]

IEEE Trans. Medical Imaging, 2019

A Probabilistic Approach to Cross-Region Matching-Based Image Retrieval.

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[DOI]

Zhimin Gao

Lei Wang

Luping Zhou

IEEE Trans. Image Process., 2019

Epileptic Seizure Forecasting With Generative Adversarial Networks.

[BibT_eX]

[DOI]

Nhan Duy Truong

Levin Kuhlmann

Mohammad Reza Bonyadi

Damien Querlioz

Luping Zhou

Omid Kavehei

IEEE Access, 2019

Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation.

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[DOI]

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network.

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[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Towards a General Prediction System for the Primary Delay in Urban Railways.

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[DOI]

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images.

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[DOI]

Huan Wang

Luping Zhou

Lei Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification.

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[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Multiple Obstacle Detection for Assistance Driver System Using Deep Neural Networks.

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[DOI]

Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

Semi-supervised Seizure Prediction with Generative Adversarial Networks.

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[DOI]

Nhan Duy Truong

Luping Zhou

Omid Kavehei

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Improving Action Localization by Progressive Cross-Stream Cooperation.

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[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

OPML: A one-pass closed-form solution for online metric learning.

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[DOI]

Pattern Recognit., 2018

Special Issue on High Performance Computing in Bio-medical Informatics.

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[DOI]

Neuroinformatics, 2018

3D conditional generative adversarial networks for high-quality PET image estimation at low dose.

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[DOI]

NeuroImage, 2018

Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning.

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[DOI]

CoRR, 2018

Instance Image Retrieval by Aggregating Sample-based Discriminative Characteristics.

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[DOI]

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis.

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[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease.

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[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

3D cGAN based cross-modality MR image synthesis for brain tumor segmentation.

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[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Tumor segmentation via multi-modality joint dictionary learning.

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[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images.

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[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

DeepKSPD: Learning Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition.

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[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Data Fusion for MaaS: Opportunities and Challenges.

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[DOI]

Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

Modelling Diffusion Process by Deep Neural Networks for Image Retrieval.

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[DOI]

Proceedings of the British Machine Vision Conference 2018, 2018

2017

A Graph-Embedding Approach to Hierarchical Visual Word Mergence.

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[DOI]

Lei Wang

Lingqiao Liu

Luping Zhou

IEEE Trans. Neural Networks Learn. Syst., 2017

HEp-2 Cell Image Classification With Deep Convolutional Neural Networks.

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[DOI]

IEEE J. Biomed. Health Informatics, 2017

Subject-adaptive Integration of Multiple SICE Brain Networks with Different Sparsity.

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[DOI]

Jianjia Zhang

Luping Zhou

Lei Wang

Pattern Recognit., 2017

Machine learning in medical imaging.

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[DOI]

Kenji Suzuki

Luping Zhou

Qian Wang

Pattern Recognit., 2017

Infomax principle based pooling of deep convolutional activations for image retrieval.

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[DOI]

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Revisiting Metric Learning for SPD Matrix Based Visual Representation.

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[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Learning Discriminative Stein Kernel for SPD Matrices and Its Applications.

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[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data.

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[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Exploiting Structure Sparsity for Covariance-based Visual Representation.

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[DOI]

Jianjia Zhang

Lei Wang

Luping Zhou

CoRR, 2016

Semi-Supervised Weight Learning for the Spatial Search Method in ConvNet-Based Image Retrieval.

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[DOI]

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Image Descriptors from ConvNets: Comparing Global Pooling Methods for Image Retrieval.

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[DOI]

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

A Hidden Markov Model based efficient next best viewpoint planning for autonomous exploration.

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[DOI]

Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016

2015

Functional Brain Network Classification With Compact Representation of SICE Matrices.

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[DOI]

IEEE Trans. Biomed. Eng., 2015

An efficient radius-incorporated MKL algorithm for Alzheimer's disease prediction.

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[DOI]

Pattern Recognit., 2015

Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices.

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[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Machine Learning Techniques for AD/MCI Diagnosis and Prognosis.

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[DOI]

Proceedings of the Machine Learning in Healthcare Informatics, 2014

Multiple Kernel Learning in the Primal for Multimodal Alzheimer's Disease Classification.

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[DOI]

IEEE J. Biomed. Health Informatics, 2014

A Hierarchical Word-Merging Algorithm with Class Separability Measure.

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[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Routing Strategy Based on Local Density Sensing in Delay Tolerant Network.

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[DOI]

Fucai Wang

Bingrong Li

Luping Zhou

J. Networks, 2014

Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data.

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[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification.

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[DOI]

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

HEp-2 Cell Image Classification with Convolutional Neural Networks.

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[DOI]

Proceedings of the 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images, 2014

Experimental Study of Unsupervised Feature Learning for HEp-2 Cell Images Clustering.

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[DOI]

Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification.

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[DOI]

Luping Zhou

Lei Wang

Philip Ogunbona

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Particle Swarm Optimization Model of Distributed Network Planning.

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[DOI]

Luping Zhou

Bingrong Li

Fucai Wang

J. Networks, 2013

Multiple Kernel Learning in the Primal for Multi-modal Alzheimer's Disease Classification.

[BibT_eX]

[DOI]

CoRR, 2013

Accelerating the Divisive Information-Theoretic Clustering of Visual Words.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

A Fast Approximate AIB Algorithm for Distributional Word Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

MR-Less Surface-Based Amyloid Estimation by Subject-Specific Atlas Selection and Bayesian Fusion.

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[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011

Multimodal classification of Alzheimer's disease and mild cognitive impairment.

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[DOI]

NeuroImage, 2011

Learning-based prostate localization for image guided radiation therapy.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A Comparison Study of Ellipsoid Fitting for Pose Normalization of Hippocampal Shapes.

[BibT_eX]

[DOI]

Luping Zhou

Olivier Salvado

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Hierarchical anatomical brain networks for MCI prediction by partial least square analysis.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A trusted control model of subject's behaviors based on static measuring.

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[DOI]

Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010

Feature selection with redundancy-constrained class separability.

[BibT_eX]

[DOI]

Luping Zhou

Lei Wang

Chunhua Shen

IEEE Trans. Neural Networks, 2010

Hippocampal Shape Classification Using Redundancy Constrained Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009

Identifying Anatomical Shape Difference by Regularized Discriminative Direction.

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[DOI]

IEEE Trans. Medical Imaging, 2009

Discriminative Maximum Margin Image Object Categorization with Exact Inference.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Image and Graphics, 2009

2008

A Kernel-Induced Space Selection Approach to Model Selection in KLDA.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2008

Regularized Discriminative Direction for Shape Difference Analysis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook.

[BibT_eX]

[DOI]

Lei Wang

Luping Zhou

Chunhua Shen

Proceedings of the Computer Vision, 2008

2007

A Study of Hippocampal Shape Difference Between Genders by Efficient Hypothesis Test and Discriminative Deformation.

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[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

2001

Polygonizing Non-Uniformly Distributed 3D Points by Advancing Mesh Frontiers.

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[DOI]

Indriyati Atmosukarto

Luping Zhou

Wee Kheng Leow

Zhiyong Huang

Proceedings of the Computer Graphics International 2001 (CGI'01), 2001

Luping Zhou

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