Daoqiang Zhang
Orcid: 0000-0002-5658-7643
According to our database1,
Daoqiang Zhang
authored at least 370 papers
between 2003 and 2025.
Collaborative distances:
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Bibliography
2025
Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba.
Medical Image Anal., 2025
2024
Multi-Cluster Self-Paced Diverse Learning and Feature Fusion for Autism Spectrum Disorder Identification With Resting-State fMRI.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2024
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Do as Sonographers Think: Contrast-Enhanced Ultrasound for Thyroid Nodules Diagnosis via Microvascular Infiltrative Awareness.
IEEE Trans. Medical Imaging, November, 2024
D-MHGCN: An End-to-End Individual Behavioral Prediction Model Using Dual Multi-Hop Graph Convolutional Network.
IEEE J. Biomed. Health Informatics, October, 2024
TFAC-Net: A Temporal-Frequential Attentional Convolutional Network for Driver Drowsiness Recognition With Single-Channel EEG.
IEEE Trans. Intell. Transp. Syst., July, 2024
Spatio-Temporal Graph Hubness Propagation Model for Dynamic Brain Network Classification.
IEEE Trans. Medical Imaging, June, 2024
Multi-Instance Multi-Task Learning for Joint Clinical Outcome and Genomic Profile Predictions From the Histopathological Images.
IEEE Trans. Medical Imaging, June, 2024
IEEE Trans. Medical Imaging, April, 2024
A Generalized Full-to-Partial Registration Framework of 3D Point Sets for Computer-Aided Orthopedic Surgery.
IEEE Trans. Biomed. Eng., March, 2024
T-S2Inet: Transformer-based sequence-to-image network for accurate nanopore sequence recognition.
Bioinform., February, 2024
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Hypergraph convolutional network for longitudinal data analysis in Alzheimer's disease.
Comput. Biol. Medicine, January, 2024
MAS-CL: An End-to-End Multi-Atlas Supervised Contrastive Learning Framework for Brain ROI Segmentation.
IEEE Trans. Image Process., 2024
IEEE Trans. Affect. Comput., 2024
Global-local consistent semi-supervised segmentation of histopathological image with different perturbations.
Pattern Recognit., 2024
Automated individual cortical parcellation via consensus graph representation learning.
NeuroImage, 2024
CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction across All Sampling Rates.
CoRR, 2024
CoRR, 2024
Spatially Resolved Gene Expression Prediction from Histology via Multi-view Graph Contrastive Learning with HSIC-bottleneck Regularization.
CoRR, 2024
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation.
CoRR, 2024
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba.
CoRR, 2024
MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation.
CoRR, 2024
MSEF-Net: Multi-scale edge fusion network for lumbosacral plexus segmentation with MR image.
Artif. Intell. Medicine, 2024
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification.
Artif. Intell. Medicine, 2024
Characterizing the Histology Spatial Intersections Between Tumor-Infiltrating Lymphocytes and Tumors for Survival Prediction of Cancers Via Graph Contrastive Learning.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Follow Sonographers' Visual Scan-Path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
AISA-DG: Automatic Implicit Style-Augmented Domain Generalization on Optic Disc/Cup Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
MSTI-Former: A Multi-Scale Spatial-Temporal Information Enhanced Transformer for Attentive State Classification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
A Framework on Imaging and Phenotype Information Hierarchical Graph Convolutional Networks for Identification of Autism Spectrum Disorder.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Tumor Micro-Environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-Slide Pathological Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
A Co-contrastive Learning Method to Fuse Multi-modal Phenotypes and Identify Genetic Risk Variations.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024
2023
Deep Semi-Supervised Ultrasound Image Segmentation by Using a Shadow Aware Network With Boundary Refinement.
IEEE Trans. Medical Imaging, December, 2023
Multi-Discriminator Active Adversarial Network for Multi-Center Brain Disease Diagnosis.
IEEE Trans. Big Data, December, 2023
Future Gener. Comput. Syst., December, 2023
Pattern Recognit., November, 2023
Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data.
IEEE Trans. Medical Imaging, October, 2023
IEEE Trans. Big Data, October, 2023
Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer's Disease diagnosis.
Medical Image Anal., October, 2023
Anatomy preserving GAN for realistic simulation of intraoperative liver ultrasound images.
Comput. Methods Programs Biomed., October, 2023
Precise angle estimation of capsule robot in ultrasound using heatmap guided two-stage network.
Comput. Methods Programs Biomed., October, 2023
FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers.
IEEE Trans. Medical Imaging, September, 2023
Joint Segmentation and Differential Diagnosis of Thyroid Nodule in Contrast-Enhanced Ultrasound Images.
IEEE Trans. Biomed. Eng., September, 2023
Frequency constraint-based adversarial attack on deep neural networks for medical image classification.
Comput. Biol. Medicine, September, 2023
Dynamic Perfusion Representation and Aggregation Network for Nodule Segmentation Using Contrast-Enhanced US.
IEEE J. Biomed. Health Informatics, July, 2023
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023
Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, May, 2023
IEEE Trans. Medical Imaging, April, 2023
Multi-Modal Non-Euclidean Brain Network Analysis With Community Detection and Convolutional Autoencoder.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023
Immunohistochemical Index Prediction of Breast Cancer by Using Hybrid Ultrasound Data.
IEEE Trans. Biomed. Eng., April, 2023
Transport-Based Anatomical-Functional Metric Learning for Liver Tumor Recognition Using Dual-View Dynamic CEUS Imaging.
IEEE Trans. Biomed. Eng., March, 2023
Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics.
IEEE Trans. Biomed. Eng., March, 2023
CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images.
IEEE J. Biomed. Health Informatics, February, 2023
Bioinform., January, 2023
Pairwise feature-based generative adversarial network for incomplete multi-modal Alzheimer's disease diagnosis.
Vis. Comput., 2023
Cross-Subject Cognitive Workload Recognition Based on EEG and Deep Domain Adaptation.
IEEE Trans. Instrum. Meas., 2023
Decoding the Continuous Motion Imagery Trajectories of Upper Limb Skeleton Points for EEG-Based Brain-Computer Interface.
IEEE Trans. Instrum. Meas., 2023
Multi-Spectral Palmprints Joint Attack and Defense With Adversarial Examples Learning.
IEEE Trans. Inf. Forensics Secur., 2023
IEEE Trans. Inf. Forensics Secur., 2023
T-MGCL: Molecule Graph Contrastive Learning Based on Transformer for Molecular Property Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Multimodal Self-Paced Locality-Preserving Learning for Diagnosis of Alzheimer's Disease.
IEEE Trans. Cogn. Dev. Syst., 2023
A Cognitive-Driven Ordinal Preservation for Multimodal Imbalanced Brain Disease Diagnosis.
IEEE Trans. Cogn. Dev. Syst., 2023
Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction.
Pattern Recognit., 2023
Medical Image Anal., 2023
Int. J. Autom. Comput., 2023
CoRR, 2023
sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI.
CoRR, 2023
sMRI-PatchNet: A Novel Efficient Explainable Patch-Based Deep Learning Network for Alzheimer's Disease Diagnosis With Structural MRI.
IEEE Access, 2023
ASTDF-Net: Attention-Based Spatial-Temporal Dual-Stream Fusion Network for EEG-Based Emotion Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Thyroid Nodule Diagnosis in Dynamic Contrast-Enhanced Ultrasound via Microvessel Infiltration Awareness.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
JCCS-PFGM: A Novel Circle-Supervision Based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
A Multi-View Clustering-Based Method for Individual and Group Cortical Parcellations with Resting-State fMRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images.
Proceedings of the Information Processing in Medical Imaging, 2023
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
PSDD-Net: A Dual-Domain Framework for Pancreatic Cancer Image Segmentation with Multi-scale Local-Dense Net.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023
DACTransNet: A Hybrid CNN-Transformer Network for Histopathological Image Classification of Pancreatic Cancer.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
2022
Stacked Topological Preserving Dynamic Brain Networks Representation and Classification.
IEEE Trans. Medical Imaging, 2022
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack.
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
An Explainable 3D Residual Self-Attention Deep Neural Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI.
IEEE J. Biomed. Health Informatics, 2022
A Graph Convolutional Multiple Instance Learning on a Hypersphere Manifold Approach for Diagnosing Chronic Obstructive Pulmonary Disease in CT Images.
IEEE J. Biomed. Health Informatics, 2022
IEEE Trans. Cogn. Dev. Syst., 2022
Temporal Information-Guided Generative Adversarial Networks for Stimuli Image Reconstruction From Human Brain Activities.
IEEE Trans. Cogn. Dev. Syst., 2022
ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease.
Pattern Recognit., 2022
Consistent connectome landscape mining for cross-site brain disease identification using functional MRI.
Medical Image Anal., 2022
Efficient lower-limb segmentation for large-scale volumetric CT by using projection view and voxel group attention.
Medical Biol. Eng. Comput., 2022
RE-3DLVNet: Refined estimation of the left ventricle volume via interactive 3D segmentation and reinforced quantification.
Knowl. Based Syst., 2022
X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images.
Knowl. Based Syst., 2022
Inf. Sci., 2022
Functional Brain Connectivity Hyper-Network Embedded with Structural Information for Epilepsy Diagnosis.
Int. J. Image Graph., 2022
Frontiers Neuroinformatics, 2022
Multiband decomposition and spectral discriminative analysis for motor imagery BCI via deep neural network.
Frontiers Comput. Sci., 2022
CoRR, 2022
Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses.
CoRR, 2022
TypeSeg: A type-aware encoder-decoder network for multi-type ultrasound images co-segmentation.
Comput. Methods Programs Biomed., 2022
Comput. Medical Imaging Graph., 2022
Annotation-guided encoder-decoder network for bone extraction in ultrasound-assisted orthopedic surgery.
Comput. Biol. Medicine, 2022
Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis.
Bioinform., 2022
Briefings Bioinform., 2022
IEEE Access, 2022
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
A Multi-Scale Multi-Hop Graph Convolution Network for Predicting Fluid Intelligence via Functional Connectivity.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Efficient Metric Learning with Graph Transformer for Accurate Colorectal Cancer Staging.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022
2021
Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI.
IEEE Trans. Medical Imaging, 2021
Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis.
IEEE Trans. Medical Imaging, 2021
Hierarchical Temporal Attention Network for Thyroid Nodule Recognition Using Dynamic CEUS Imaging.
IEEE Trans. Medical Imaging, 2021
IEEE J. Biomed. Health Informatics, 2021
Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
IEEE Trans. Cogn. Dev. Syst., 2021
Neural Networks, 2021
Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset.
Neuroinformatics, 2021
Medical Image Anal., 2021
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI.
Medical Image Anal., 2021
Int. J. Autom. Comput., 2021
Detecting differential transcript usage across multiple conditions for RNA-seq data based on the smoothed LDA model.
Frontiers Comput. Sci., 2021
BMC Medical Imaging, 2021
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Deep Self-Reconstruction Sparse Canonical Correlation Analysis For Brain Imaging Genetics.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Image-Based 3D Ultrasound Reconstruction with Optical Flow via Pyramid Warping Network.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021
GBCI: Adaptive Frequency Band Learning for Gender Recognition in Brain-Computer Interfaces.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021
A Multi-Layer Random Walk Method for Local Dynamic Community Detection in Brain Functional Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification.
IEEE J. Biomed. Health Informatics, 2020
Improved 3D Catheter Shape Estimation Using Ultrasound Imaging for Endovascular Navigation: A Further Study.
IEEE J. Biomed. Health Informatics, 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT.
IEEE J. Biomed. Health Informatics, 2020
High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI.
IEEE Trans. Image Process., 2020
Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network.
IEEE Trans. Biomed. Eng., 2020
Tissue Structure Updating for In Situ Augmented Reality Navigation Using Calibrated Ultrasound and Two-Level Surface Warping.
IEEE Trans. Biomed. Eng., 2020
Signal Process., 2020
Neuroinformatics, 2020
Multim. Tools Appl., 2020
Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification.
Int. J. Mach. Learn. Cybern., 2020
Medical Image Anal., 2020
A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis.
Medical Image Anal., 2020
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease.
Medical Image Anal., 2020
LGSLRR: Towards fusing discriminative ordinal local and global structured low-rank representation for image recognition.
Inf. Sci., 2020
Improving the Certified Robustness of Neural Networks via Consistency Regularization.
CoRR, 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT.
CoRR, 2020
Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease.
Comput. Medical Imaging Graph., 2020
Automatic estimation of morphological characteristics of proximal tibia for precise plate treatment using model matching.
Comput. Medical Imaging Graph., 2020
Gait acquisition and analysis system for osteoarthritis based on hybrid prediction model.
Comput. Medical Imaging Graph., 2020
IEEE Access, 2020
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020
Hierarchical Representation Learning of Dynamic Brain Networks for Schizophrenia Diagnosis.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Transport-Based Joint Distribution Alignment for Multi-site Autism Spectrum Disorder Diagnosis Using Resting-State fMRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
CEUS-Net: Lesion Segmentation in Dynamic Contrast-Enhanced Ultrasound with Feature-Reweighted Attention Mechanism.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Exploiting Saliency in Attention Based Convolutional Neural Network for Classification of Vertical Root Fractures.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification.
IEEE J. Biomed. Health Informatics, 2019
Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Multi-Objective Cognitive Model: a Supervised Approach for Multi-subject fMRI Analysis.
Neuroinformatics, 2019
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network.
NeuroImage, 2019
Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data.
Medical Image Anal., 2019
KSII Trans. Internet Inf. Syst., 2019
Neurocomputing, 2019
CoRR, 2019
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction.
CoRR, 2019
Concurr. Comput. Pract. Exp., 2019
Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease.
Bioinform., 2019
Artif. Intell. Medicine, 2019
Proceedings of the 2019 IEEE SmartWorld, 2019
Unsupervised Domain Adaptation for Multi-Center Autism Spectrum Disorder Identification.
Proceedings of the 2019 IEEE SmartWorld, 2019
Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019
Multi-modality Low-Rank Learning Fused First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019
Adaptive Joint Attention with Reinforcement Training for Convolutional Image Caption.
Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019
Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Context Awareness Group Buying in D2D Networks: A Coalition Formation Game-Theoretic Approach.
IEEE Trans. Veh. Technol., 2018
IEEE Trans. Medical Imaging, 2018
Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis.
IEEE Trans. Image Process., 2018
IEEE Trans. Cybern., 2018
An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Cogn. Comput., 2018
Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection.
IEEE Access, 2018
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Gradient-Based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease.
IEEE Trans. Biomed. Eng., 2017
Pattern Recognit., 2017
Neuroinformatics, 2017
Iterative sparsity score for feature selection and its extension for multimodal data.
Neurocomputing, 2017
Deep model-based feature extraction for predicting protein subcellular localizations from bio-images.
Frontiers Comput. Sci., 2017
Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis.
Bioinform., 2017
Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
High-order boltzmann machine-based unsupervised feature learning for multi-atlas segmentation.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment.
IEEE Trans. Medical Imaging, 2016
IEEE Trans. Cybern., 2016
Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis.
IEEE Trans. Biomed. Eng., 2016
IEEE Trans. Pattern Anal. Mach. Intell., 2016
Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease.
Neuroinformatics, 2016
Medical Image Anal., 2016
A learning-based CT prostate segmentation method via joint transductive feature selection and regression.
Neurocomputing, 2016
Frontiers Comput. Sci., 2016
A new selection strategy for selective cluster ensemble based on Diversity and Independency.
Eng. Appl. Artif. Intell., 2016
Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA.
Comput. Medical Imaging Graph., 2016
Human cell structure-driven model construction for predicting protein subcellular location from biological images.
Bioinform., 2016
Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Decoding Visual Stimuli in Human Brain by Using Anatomical Pattern Analysis on fMRI Images.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
2015
IEEE J. Biomed. Health Informatics, 2015
IEEE Trans. Biomed. Eng., 2015
Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso.
IEEE Trans. Pattern Anal. Mach. Intell., 2015
Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Reliability Guided Forward and Backward Patch-Based Method for Multi-atlas Segmentation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
2014
Proceedings of the Machine Learning in Healthcare Informatics, 2014
IEEE Trans. Reliab., 2014
Integration of Network Topological and Connectivity Properties for Neuroimaging Classification.
IEEE Trans. Biomed. Eng., 2014
Identifying Informative Imaging Biomarkers via Tree Structured Sparse Learning for AD Diagnosis.
Neuroinformatics, 2014
A generative probability model of joint label fusion for multi-atlas based brain segmentation.
Medical Image Anal., 2014
Int. J. Pattern Recognit. Artif. Intell., 2014
Frequent and Discriminative Subnetwork Mining for Mild Cognitive Impairment Classification.
Brain Connect., 2014
Discriminative subnetwork mining for multiple thresholded connectivity-networks-based classification of mild cognitive impairment.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Identifying Genetic Associations with MRI-derived Measures via Tree-Guided Sparse Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
2013
A New Locality-Preserving Canonical Correlation Analysis Algorithm for Multi-View Dimensionality Reduction.
Neural Process. Lett., 2013
Semi-Supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers.
Neuroinformatics, 2013
Neurocomputing, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Ensemble Universum SVM Learning for Multimodal Classification of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
Erratum to multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease [Neuroimage 59/2 (2012) 895-907].
NeuroImage, 2012
Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease.
NeuroImage, 2012
Identification of MCI individuals using structural and functional connectivity networks.
NeuroImage, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Proceedings of the Pattern Recognition - Chinese Conference, 2012
Proceedings of the Pattern Recognition - Chinese Conference, 2012
Proceedings of the Pattern Recognition - Chinese Conference, 2012
2011
A novel ensemble construction method for multi-view data using random cross-view correlation between within-class examples.
Pattern Recognit., 2011
NeuroImage, 2011
Semisupervised Dimensionality Reduction With Pairwise Constraints for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Multi-Modal Multi-Task Learning for Joint Prediction of Clinical Scores in Alzheimer's Disease.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
IEEE Trans. Neural Networks, 2010
IEEE Trans. Neural Networks, 2010
Pattern Recognit., 2010
Pattern Recognit., 2010
Neural Process. Lett., 2010
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010
2009
marginFace: A novel face recognition method by average neighborhood margin maximization.
Pattern Recognit., 2009
Pattern Recognit., 2009
Neural Process. Lett., 2009
Proceedings of the IJCAI 2009, 2009
2008
Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector.
IEEE Trans. Neural Networks, 2008
Constraint Score: A new filter method for feature selection with pairwise constraints.
Pattern Recognit., 2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2007
IEEE Trans. Neural Networks, 2007
Pattern Recognit. Lett., 2007
Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation.
Pattern Recognit., 2007
Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2007
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007
Proceedings of the Advances in Neural Networks, 2007
2006
Pattern Recognit., 2006
Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns.
Proceedings of the Structural, 2006
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
2005
Pattern Recognit. Lett., 2005
Improving the Robustness of 'Online Agglomerative Clustering Method' Based on Kernel-Induce Distance Measures.
Neural Process. Lett., 2005
(2D)<sup>2</sup>PCA: Two-directional two-dimensional PCA for efficient face representation and recognition.
Neurocomputing, 2005
A new face recognition method based on SVD perturbation for single example image per person.
Appl. Math. Comput., 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition.
Proceedings of the Analysis and Modelling of Faces and Gestures, 2005
2004
Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure.
IEEE Trans. Syst. Man Cybern. Part B, 2004
Pattern Recognit. Lett., 2004
A novel kernelized fuzzy C-means algorithm with application in medical image segmentation.
Artif. Intell. Medicine, 2004
Proceedings of the Advances in Neural Networks, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
2003
Neural Process. Lett., 2003