Daoqiang Zhang

According to our database1, Daoqiang Zhang authored at least 337 papers between 2003 and 2024.

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Bibliography

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

InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Hypergraph convolutional network for longitudinal data analysis in Alzheimer's disease.
Comput. Biol. Medicine, January, 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

Layer-wise partitioning and merging for efficient and scalable deep learning.
Future Gener. Comput. Syst., December, 2023

Optimal transport based pyramid graph kernel for autism spectrum disorder diagnosis.
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

Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis.
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

Low-Dose CT Denoising via Sinogram Inner-Structure Transformer.
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

Active learning for efficient analysis of high-throughput nanopore data.
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

Contactless Palmprint Image Recognition Across Smartphones With Self-Paced CycleGAN.
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

SD-CNN: A static-dynamic convolutional neural network for functional brain networks.
Medical Image Anal., 2023

Machine Learning for Brain Imaging Genomics Methods: A Review.
Int. J. Autom. Comput., 2023

Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification.
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

Prior-Driven Dynamic Brain Networks for Multi-modal Emotion Recognition.
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

Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation.
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

TSM: Three-Stream Mix For Unsupervised Medical Image Registration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Anatomical-Functional Fusion Network for Lesion Segmentation Using Dual-View CEUS.
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

Multimodal Triplet Attention Network for Brain Disease Diagnosis.
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

Cognitive Workload Recognition Using EEG Signals and Machine Learning: A Review.
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

Incomplete multi-modal brain image fusion for epilepsy classification.
Inf. Sci., 2022

Functional Brain Connectivity Hyper-Network Embedded with Structural Information for Epilepsy Diagnosis.
Int. J. Image Graph., 2022

Editorial: Multi-site neuroimage analysis: Domain adaptation and batch effects.
Frontiers Neuroinformatics, 2022

Multiband decomposition and spectral discriminative analysis for motor imagery BCI via deep neural network.
Frontiers Comput. Sci., 2022

Complementary Labels Learning with Augmented Classes.
CoRR, 2022

Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain.
CoRR, 2022

Learning from Positive and Unlabeled Data with Augmented Classes.
CoRR, 2022

Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning.
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

Residual-atrous attention network for lumbosacral plexus segmentation with MR image.
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

S2Snet: deep learning for low molecular weight RNA identification with nanopore.
Briefings Bioinform., 2022

A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning.
IEEE Access, 2022

3D MRI Cardiac Segmentation Under Respiratory Motion Artifacts.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Learning Projection Views for Sparse-View CT Reconstruction.
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

Optimal Transport Based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

DDPNet: A Novel Dual-Domain Parallel Network for Low-Dose CT Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep Domain Adaptation for EEG-Based Cross-Subject Cognitive Workload Recognition.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Region-Based Dense Adversarial Generation for Medical Image Segmentation.
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

TcT: Temporal and channel Transformer for EEG-based Emotion Recognition.
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

Dictionary-Induced Manifold Learning for Incomplete Multi-modal Fusion.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021
An effective recognition approach for contactless palmprint.
Vis. Comput., 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

Guest Editorial Multi-Modal Computing for Biomedical Intelligence Systems.
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

Supervised Hyperalignment for Multisubject fMRI Data Alignment.
IEEE Trans. Cogn. Dev. Syst., 2021

Deep Rényi entropy graph kernel.
Pattern Recognit., 2021

Visual-guided attentive attributes embedding for zero-shot learning.
Neural Networks, 2021

Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset.
Neuroinformatics, 2021

Towards evaluating the robustness of deep diagnostic models by adversarial attack.
Medical Image Anal., 2021

Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI.
Medical Image Anal., 2021

fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review.
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

GACDN: generative adversarial feature completion and diagnosis network for COVID-19.
BMC Medical Imaging, 2021

Sign-aware Perturbations Regression.
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

Dual-Attention Network for Acute Pancreatitis Lesion Detection with CT Images.
Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021

A Multilayer Maximum Spanning Tree Kernel For Brain Networks.
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

Graph-In-Graph Convolutional Networks For Brain Disease Diagnosis.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Fs-Net: Filter Selection Network For Hyperspectral Reconstruction.
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

A Consistency Regularization for Certified Robust Neural Networks.
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

Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images.
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

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

Latent correlation embedded discriminative multi-modal data fusion.
Signal Process., 2020

Hierarchical Structured Sparse Learning for Schizophrenia Identification.
Neuroinformatics, 2020

Cross-spectral palmprint recognition with low-rank canonical correlation analysis.
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

Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers.
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

Transport based Graph Kernels.
CoRR, 2020

Ordinal Pattern Kernel for Brain Connectivity Network Classification.
CoRR, 2020

An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI.
CoRR, 2020

A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis.
CoRR, 2020

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT.
CoRR, 2020

Nyström Subspace Learning for Large-scale SVMs.
CoRR, 2020

Supervised Hyperalignment for multi-subject fMRI data alignment.
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 Special Section Editorial: Scalable Deep Learning for Big Data.
IEEE Access, 2020

Depth-Adaptive Discriminant Projection with Optimal Transport.
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

Shared Space Transfer Learning for analyzing multi-site fMRI data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MRI Measurement Matrix Learning via Correlation Reweighting.
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

Unified Brain Network with Functional and Structural Data.
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

Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data.
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

Tongue Image Segmentation via Thresholding and Gray Projection.
KSII Trans. Internet Inf. Syst., 2019

Multi-modal AD classification via self-paced latent correlation analysis.
Neurocomputing, 2019

A Graph-Based Decoding Model for Incomplete Multi-Subject fMRI Functional Alignment.
CoRR, 2019

SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction.
CoRR, 2019

Tongue image segmentation via color decomposition and thresholding.
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

Reliability-based robust multi-atlas label fusion for brain MRI segmentation.
Artif. Intell. Medicine, 2019

Improved Procedures for Training Primal Wasserstein GANs.
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

Graph Hyperalignment for Multi-subject fMRI Functional Alignment.
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

A New Network Traffic Identification Base on Deep Factorization Machine.
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

Ordinal Pattern: A New Descriptor for Brain Connectivity Networks.
IEEE Trans. Medical Imaging, 2018

Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis.
IEEE Trans. Image Process., 2018

WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory.
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

Anatomical Pattern Analysis for Decoding Visual Stimuli in Human Brains.
Cogn. Comput., 2018

Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection.
IEEE Access, 2018

Gradient Hyperalignment for Multi-subject fMRI Data Alignment.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Node Based Row-Filter Convolutional Neural Network for Brain Network Classification.
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

Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification.
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

Investor-Imitator: A Framework for Trading Knowledge Extraction.
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

Deep active learning for nucleus classification in pathology images.
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

Robust multi-atlas label propagation by deep sparse representation.
Pattern Recognit., 2017

Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease.
Neuroinformatics, 2017

Iterative sparsity score for feature selection and its extension for multimodal data.
Neurocomputing, 2017

Multi-modal dimensionality reduction using effective distance.
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

Margin Distribution Logistic Machine.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Deep Hyperalignment.
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

Local Discriminant Hyperalignment for Multi-Subject fMRI Data Alignment.
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

Pairwise Constraint-Guided Sparse Learning for Feature Selection.
IEEE Trans. Cybern., 2016

Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis.
IEEE Trans. Biomed. Eng., 2016

Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease.
Neuroinformatics, 2016

Hyper-connectivity of functional networks for brain disease diagnosis.
Medical Image Anal., 2016

Canonical sparse cross-view correlation analysis.
Neurocomputing, 2016

A learning-based CT prostate segmentation method via joint transductive feature selection and regression.
Neurocomputing, 2016

Feature selection with effective distance.
Neurocomputing, 2016

Multi-view dimensionality reduction via canonical random correlation analysis.
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

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis.
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

Sub-network Based Kernels for Brain Network Classification.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015
EditorialMachine Learning and Data Mining in Medical Imaging.
IEEE J. Biomed. Health Informatics, 2015

Domain Transfer Learning for MCI Conversion Prediction.
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

Machine learning in medical imaging.
Comput. Medical Imaging Graph., 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

Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Weighted Spectral Cluster Ensemble.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
Machine Learning Techniques for AD/MCI Diagnosis and Prognosis.
Proceedings of the Machine Learning in Healthcare Informatics, 2014

Two-Stage Cost-Sensitive Learning for Software Defect Prediction.
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

Sparsity Score: a Novel Graph-Preserving Feature Selection Method.
Int. J. Pattern Recognit. Artif. Intell., 2014

Attribute relation learning for zero-shot classification.
Neurocomputing, 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

The New Graph Kernels on Connectivity Networks for Identification of MCI.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

Brain Connectivity Hyper-Network for MCI Classification.
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

Combining Multiple Network Features for Mild Cognitive Impairment Classification.
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

Learning mid-perpendicular hyperplane similarity from cannot-link constraints.
Neurocomputing, 2013

Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Integrating Multiple Network Properties for MCI Identification.
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

Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso.
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

Ensemble sparse classification of Alzheimer's disease.
NeuroImage, 2012

Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation.
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012

Constrained Sparse Functional Connectivity Networks for MCI Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Transductive Prostate Segmentation for CT Image Guided Radiotherapy.
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

Tree-Guided Sparse Coding for Brain Disease Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Group Sparsity Constrained Automatic Brain Label Propagation.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Structural Feature Selection for Connectivity Network-Based MCI Diagnosis.
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012

Domain Transfer Learning for MCI Conversion Prediction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Learning Attribute Relation in Attribute-Based Zero-Shot Classification.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Cost-sensitive feature selection with application in software defect prediction.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Sparsity Score: A new filter feature selection method based on graph.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Sparsity Preserving Canonical Correlation Analysis.
Proceedings of the Pattern Recognition - Chinese Conference, 2012

Iterative Laplacian Score for Feature Selection.
Proceedings of the Pattern Recognition - Chinese Conference, 2012

Semi-Supervised Sparse Label Fusion for Multi-atlas Based Segmentation.
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

Multimodal classification of Alzheimer's disease and mild cognitive impairment.
NeuroImage, 2011

Semisupervised Dimensionality Reduction With Pairwise Constraints for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2011

Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation.
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

MultiCost: Multi-stage Cost-sensitive Classification of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

Identification of Individuals with MCI via Multimodality Connectivity Networks.
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

Semi-supervised multimodal classification of alzheimer's disease.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Semisupervised Kernel Matrix Learning by Kernel Propagation.
IEEE Trans. Neural Networks, 2010

A multiobjective simultaneous learning framework for clustering and classification.
IEEE Trans. Neural Networks, 2010

Semi-supervised clustering with metric learning: An adaptive kernel method.
Pattern Recognit., 2010

Bagging Constraint Score for feature selection with pairwise constraints.
Pattern Recognit., 2010

A New Canonical Correlation Analysis Algorithm with Local Discrimination.
Neural Process. Lett., 2010

Locality sensitive C-means clustering algorithms.
Neurocomputing, 2010

Canonical random correlation analysis.
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

A simultaneous learning framework for clustering and classification.
Pattern Recognit., 2009

A New Discriminant Principal Component Analysis Method with Partial Supervision.
Neural Process. Lett., 2009

An Efficient Nonnegative Matrix Factorization Approach in Flexible Kernel Space.
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

Constraint Projections for Ensemble Learning.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion".
IEEE Trans. Neural Networks, 2007

Robust fuzzy relational classifier incorporating the soft class labels.
Pattern Recognit. Lett., 2007

Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation.
Pattern Recognit., 2007

Entropy-Inspired Competitive Clustering Algorithms.
Int. J. Softw. Informatics, 2007

Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2007

Semi-Supervised Dimensionality Reduction.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Two-Dimensional Bayesian Subspace Analysis for Face Recognition.
Proceedings of the Advances in Neural Networks, 2007

2006
Diagonal principal component analysis for face recognition.
Pattern Recognit., 2006

Learning the kernel parameters in kernel minimum distance classifier.
Pattern Recognit., 2006

Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns.
Proceedings of the Structural, 2006

Non-negative Matrix Factorization on Kernels.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA.
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

Fast image compression using matrix K-L transform.
Neurocomputing, 2005

A new face recognition method based on SVD perturbation for single example image per person.
Appl. Math. Comput., 2005

Representing Image Matrices: Eigenimages Versus Eigenvectors.
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

Enhanced (PC)<sup>2</sup> A for face recognition with one training image per person
Pattern Recognit. Lett., 2004

A comment on "Alternative c-means clustering algorithms".
Pattern Recognit., 2004

A novel kernelized fuzzy C-means algorithm with application in medical image segmentation.
Artif. Intell. Medicine, 2004

Fuzzy-Kernel Learning Vector Quantization.
Proceedings of the Advances in Neural Networks, 2004

Robust Image Denoising Using Kernel-Induced Measures.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Semi-supervised Kernel-Based Fuzzy C-Means.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003
Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm.
Neural Process. Lett., 2003


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