Bai Ying Lei
Orcid: 0000-0002-3087-2550
According to our database1,
Bai Ying Lei
authored at least 320 papers
between 2007 and 2025.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2022, "for contributions to resource allocation in cloud computing systems and wireless networks".
Timeline
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Online presence:
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Bibliography
2025
Federated learning via multi-attention guided UNet for thyroid nodule segmentation of ultrasound images.
Neural Networks, 2025
2024
CAT-DTI: cross-attention and Transformer network with domain adaptation for drug-target interaction prediction.
BMC Bioinform., December, 2024
Specificity-Aware Federated Learning With Dynamic Feature Fusion Network for Imbalanced Medical Image Classification.
IEEE J. Biomed. Health Informatics, November, 2024
MHW-GAN: Multidiscriminator Hierarchical Wavelet Generative Adversarial Network for Multimodal Image Fusion.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
3-D Brain Reconstruction by Hierarchical Shape-Perception Network From a Single Incomplete Image.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
DecGAN: Decoupling Generative Adversarial Network for Detecting Abnormal Neural Circuits in Alzheimer's Disease.
IEEE Trans. Artif. Intell., October, 2024
3D Multimodal Fusion Network With Disease-Induced Joint Learning for Early Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, September, 2024
Estimating Addiction-Related Brain Connectivity by Prior-Embedding Graph Generative Adversarial Networks.
IEEE Trans. Cybern., September, 2024
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer's Disease.
IEEE Trans. Cybern., June, 2024
SpecTr: Spectral Transformer for Microscopic Hyperspectral Pathology Image Segmentation.
IEEE Trans. Circuits Syst. Video Technol., June, 2024
Echocardiographic segmentation based on semi-supervised deep learning with attention mechanism.
Multim. Tools Appl., April, 2024
IEEE J. Biomed. Health Informatics, January, 2024
Cell classification with worse-case boosting for intelligent cervical cancer screening.
Medical Image Anal., January, 2024
Generative AI Enables Synthesizing Cross-Modality Brain Image via Multi-Level-Latent Representation Learning.
IEEE Trans. Computational Imaging, 2024
Hybrid federated learning with brain-region attention network for multi-center Alzheimer's disease detection.
Pattern Recognit., 2024
Federated learning using model projection for multi-center disease diagnosis with non-IID data.
Neural Networks, 2024
Multi-national CT image-label pairs synthesis for COVID-19 diagnosis via few-shot generative adversarial networks adaptation.
Neural Comput. Appl., 2024
Alzheimer's disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network.
Medical Image Anal., 2024
CMRVAE: Contrastive margin-restrained variational auto-encoder for class-separated domain adaptation in cardiac segmentation.
Knowl. Based Syst., 2024
COVID-19 diagnosis based on swin transformer model with demographic information fusion and enhanced multi-head attention mechanism.
Expert Syst. Appl., 2024
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics.
Artif. Intell. Rev., 2024
Misclassification Detection via Counterexample Learning for Trustworthy Cervical Cancer Screening.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
Multi-modality Correlation Learning Network for Pediatric Ventricular Septal Defects Identification.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
A Novel Diffusion Model with Wavelet Transform for Optic Disc and Cup Segmentation in Fundus Images.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Cross-Graph Interaction and Diffusion Probability Models for Lung Nodule Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Weak-Supervised Attention Fusion Network for Carotid Artery Vessel Wall Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Multi-scale 3D Convolutional LSTM for Longitudinal Alzheimer's Disease Identification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, December, 2023
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Fundus Image-Label Pairs Synthesis and Retinopathy Screening via GANs With Class-Imbalanced Semi-Supervised Learning.
IEEE Trans. Medical Imaging, September, 2023
IEEE Trans. Medical Imaging, September, 2023
GIONet: Global information optimized network for multi-center COVID-19 diagnosis via COVID-GAN and domain adversarial strategy.
Comput. Biol. Medicine, September, 2023
Biomed. Signal Process. Control., September, 2023
Morphological Feature Visualization of Alzheimer's Disease via Multidirectional Perception GAN.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Early diagnosis and clinical score prediction of Parkinson's disease based on longitudinal neuroimaging data.
Neural Comput. Appl., August, 2023
IEEE Trans. Medical Imaging, May, 2023
Neural Comput. Appl., May, 2023
Expert Syst. Appl., April, 2023
Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network.
IEEE Trans. Medical Imaging, February, 2023
Neural Networks, January, 2023
Attention-Guided Pyramid Context Network for Polyp Segmentation in Colonoscopy Images.
IEEE Trans. Instrum. Meas., 2023
Multi-scale enhanced graph convolutional network for mild cognitive impairment detection.
Pattern Recognit., 2023
Adversarial learning-based multi-level dense-transmission knowledge distillation for AP-ROP detection.
Medical Image Anal., 2023
Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI.
CoRR, 2023
SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image.
CoRR, 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
COVID-19 Diagnosis Based on Swin Transformer Model with Demographic Information Fusion and Enhanced Multi-head Attention Mechanism.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
A Super Token Vision Transformer and CNN Parallel Branch Network for mCNV Lesion Segmentation in OCT Images.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
PAS-Net: Rapid Prediction of Antibiotic Susceptibility from Fluorescence Images of Bacterial Cells Using Parallel Dual-Branch Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Multi-relational Graph Convolutional Neural Networks for Carotid Artery Stenosis Diagnosis via Fundus Images.
Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023
Dual-Branch Attention Network and Swin Spatial Pyramid Pooling for Retinopathy of Prematurity Classification.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Dual-Branch Multimodal Fusion Network for Skin Lesions Diagnosis using Clinical and Ultrasound Image.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
USBDAN: Unsupervised Scale-aware and Boundary-aware Domain Adaptive Network for Gastric Tumor Segmentation.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Graph Convolution and Self-attention Enhanced CNN with Domain Adaptation for Multi-site COVID-19 Diagnosis.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
A Two-stage Diagnostic Framework for Post-ablation Treatment Response Assessment in Patients with Hepatocellular Carcinoma.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Gated CNN-Transformer Network for Automatic Cardiovascular Diagnosis using 12-lead Electrocardiogram.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Fused Brain Functional Connectivity Network and Edge-attention Graph Convolution Network for Fibromyalgia Syndrome Diagnosis.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
GTDDA: Graph Convolutional Network and Graph Transformer Structure for Drug Repositioning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Mutual Graph Learning Network and Diffusion Probabilistic Model-based Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Dual-branch Feature Interaction Network with Structure Information Learning for Retinopathy of Prematurity Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Prior Information Guided Coarse-to-fine Dual-branch Encoding Network for Fovea Localization and Optic Disc/Cup Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Self-supervised Distillation and Multi-scale Network for Parkinson's Disease Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data.
IEEE Trans. Neural Networks Learn. Syst., 2022
Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation.
IEEE Trans. Medical Imaging, 2022
Virtual Adversarial Training-Based Deep Feature Aggregation Network From Dynamic Effective Connectivity for MCI Identification.
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
Unsupervised Domain Adaptation Based Image Synthesis and Feature Alignment for Joint Optic Disc and Cup Segmentation.
IEEE J. Biomed. Health Informatics, 2022
IEEE Trans. Cogn. Dev. Syst., 2022
Brain stroke lesion segmentation using consistent perception generative adversarial network.
Neural Comput. Appl., 2022
IFT-Net: Interactive Fusion Transformer Network for Quantitative Analysis of Pediatric Echocardiography.
Medical Image Anal., 2022
Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer.
Medical Image Anal., 2022
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network.
Medical Image Anal., 2022
Medical Image Anal., 2022
Longitudinal study of early mild cognitive impairment via similarity-constrained group learning and self-attention based SBi-LSTM.
Knowl. Based Syst., 2022
Robust Maximum Mixture Correntropy Criterion Based One-Class Classification Algorithm.
IEEE Intell. Syst., 2022
Automatic diagnosis for aggressive posterior retinopathy of prematurity via deep attentive convolutional neural network.
Expert Syst. Appl., 2022
Expert Syst. Appl., 2022
Cross-Subject Emotion Recognition with Sparsely-Labeled Peripheral Physiological Data Using SHAP-Explained Tree Ensembles.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Self-supervised multi-modal fusion network for multi-modal thyroid ultrasound image diagnosis.
Comput. Biol. Medicine, 2022
Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network.
Comput. Biol. Medicine, 2022
Biomed. Signal Process. Control., 2022
Joint segmentation and classification task via adversarial network: Application to HEp-2 cell images.
Appl. Soft Comput., 2022
Appl. Soft Comput., 2022
Swin Faster R-CNN for Senescence Detection of Mesenchymal Stem Cells in Bright-Field Images.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022
Multi-channel Residual Neural Network Based on Squeeze-and-Excitation for Osteoporosis Diagnosis.
Proceedings of the Clinical Image-Based Procedures - 11th Workshop, 2022
Proceedings of the Clinical Image-Based Procedures - 11th Workshop, 2022
Hybrid Network Based on Cross-Modal Feature Fusion for Diagnosis of Alzheimer's Disease.
Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022
Reliability-Aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Coordinate Transformer Network for Prediction of Pseudomonas Aeruginosa's Drug Resistance.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Segmentation of Multiple Myeloma Cells Using Feature Selection Pyramid Network and Semantic Cascade Mask RCNN.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Faster R-CNN for IPSC-Derived Mesenchymal Stromal Cells Senescent Detection from Bright-Field Microscopy.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Parkinson's Disease Classification with Self-supervised Learning and Attention Mechanism.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the Cognitive Systems and Information Processing, 2022
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
End-to-End Multi-task Learning Regression Network for Fovea Localization in Fundus Images.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification.
IEEE Trans. Medical Imaging, 2021
Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images.
IEEE J. Biomed. Health Informatics, 2021
IEEE Trans. Ind. Informatics, 2021
Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment.
IEEE Trans. Cybern., 2021
Diabetic Retinopathy Diagnosis Using Multichannel Generative Adversarial Network With Semisupervision.
IEEE Trans Autom. Sci. Eng., 2021
Medical image fusion method based on dense block and deep convolutional generative adversarial network.
Neural Comput. Appl., 2021
Multim. Tools Appl., 2021
Cross-attention multi-branch network for fundus diseases classification using SLO images.
Medical Image Anal., 2021
Medical Image Anal., 2021
Automated left ventricular segmentation from cardiac magnetic resonance images via adversarial learning with multi-stage pose estimation network and co-discriminator.
Medical Image Anal., 2021
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction.
Medical Image Anal., 2021
Auto-weighted centralised multi-task learning via integrating functional and structural connectivity for subjective cognitive decline diagnosis.
Medical Image Anal., 2021
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography.
Medical Image Anal., 2021
J. Inf. Sci. Eng., 2021
A Prior Guided Adversarial Representation Learning and Hypergraph Perceptual Network for Predicting Abnormal Connections of Alzheimer's Disease.
CoRR, 2021
DecGAN: Decoupling Generative Adversarial Network detecting abnormal neural circuits for Alzheimer's disease.
CoRR, 2021
3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image.
CoRR, 2021
CoRR, 2021
Quality evaluation of induced pluripotent stem cell colonies by fusing multi-source features.
Comput. Methods Programs Biomed., 2021
Multi-scale wavelet network algorithm for pediatric echocardiographic segmentation via hierarchical feature guided fusion.
Appl. Soft Comput., 2021
Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
Proceedings of the Multimodal Learning for Clinical Decision Support, 2021
Dual-Branch Attention Network and Atrous Spatial Pyramid Pooling for Diabetic Retinopathy Classification Using Ultra-Widefield Images.
Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
A Method for Predicting Alzheimer's Disease Based on the Fusion of Single Nucleotide Polymorphisms and Magnetic Resonance Feature Extraction.
Proceedings of the Multimodal Learning for Clinical Decision Support, 2021
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-modal Glioma Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Multi-scale Wavelet Network Algorithm for Pediatric Echocardiographic Segmentation via Feature Fusion.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Multi-channel Sparse Graph Transformer Network for Early Alzheimer's Disease Identification.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Attention-guided Deep Multi-instance Learning for Staging Retinopathy of Prematurity.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Unsupervised Domain Adaptation Based Image Synthesis and Synergistic Adversarial Learning for Optic Disc and Cup Segmentation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Proceedings of the Image and Graphics - 11th International Conference, 2021
Semi-supervised Attention-Guided VNet for Breast Cancer Detection via Multi-task Learning.
Proceedings of the Image and Graphics - 11th International Conference, 2021
3D Deep Attentive U-Net with Transformer for Breast Tumor Segmentation from Automated Breast Volume Scanner.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Placental Super Micro-vessels Segmentation Based on ResNeXt with Convolutional Block Attention and U-Net.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Osteoporosis Diagnosis Based on Ultrasound Radio Frequency Signal via Multi-channel Convolutional Neural Network.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Latent Space Learning and Feature Learning using Multi-template for Multi-classification of Alzheimer's Disease.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Alzheimer's Disease Prediction via the Association of Single Nucleotide Polymorphism with Brain Regions.
Proceedings of the Biometric Recognition - 15th Chinese Conference, 2021
2020
Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification.
IEEE Trans. Medical Imaging, 2020
A Generic Quality Control Framework for Fetal Ultrasound Cardiac Four-Chamber Planes.
IEEE J. Biomed. Health Informatics, 2020
An End-to-End Deep Network for Reconstructing CT Images Directly From Sparse Sinograms.
IEEE Trans. Computational Imaging, 2020
Pattern Recognit., 2020
AMD-GAN: Attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy images.
Neural Networks, 2020
High tissue contrast image synthesis via multistage attention-GAN: Application to segmenting brain MR scans.
Neural Networks, 2020
GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images.
Neural Networks, 2020
Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis.
Medical Image Anal., 2020
Skin lesion segmentation via generative adversarial networks with dual discriminators.
Medical Image Anal., 2020
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound.
Medical Image Anal., 2020
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease.
Medical Image Anal., 2020
Self-weighted adaptive structure learning for ASD diagnosis via multi-template multi-center representation.
Medical Image Anal., 2020
Neurocomputing, 2020
Driver fatigue transition prediction in highly automated driving using physiological features.
Expert Syst. Appl., 2020
CoRR, 2020
Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network.
CoRR, 2020
Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression.
CoRR, 2020
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Glioma Segmentation.
CoRR, 2020
CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images.
CoRR, 2020
Appl. Soft Comput., 2020
Breast Cancer Image Classification via Multi-Network Features and Dual-Network Orthogonal Low-Rank Learning.
IEEE Access, 2020
AIDAN: An Attention-Guided Dual-Path Network for Pediatric Echocardiography Segmentation.
IEEE Access, 2020
Weakly-Supervised Lesion-Aware and Consistency Regularization for Retinitis Pigmentosa Detection from Ultra-Widefield Images.
Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020
An Automated Aggressive Posterior Retinopathy of Prematurity Diagnosis System by Squeeze and Excitation Hierarchical Bilinear Pooling Network.
Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020
Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms.
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
Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Multi-level Light U-Net and Atrous Spatial Pyramid Pooling for Optic Disc Segmentation on Fundus Image.
Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020
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
Template-Oriented Multi-task Sparse Low-Rank Learning for Parkinson's Diseases Diagnosis.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
HBNet: Hybrid Blocks Network for Segmentation of Gastric Tumor from Ordinary CT Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
A Novel End-to-End Hybrid Network for Alzheimer's Disease Detection Using 3D CNN and 3D CLSTM.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Longitudinal Analysis of Mild Cognitive Impairment via Sparse Smooth Network and Attention-Based Stacked Bi-Directional Long-Short Term Memory.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Walking Imagery Evaluation Based on Multi-view Features and Stacked Denoising Auto-encoder Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Transforming Intensity Distribution of Brain Lesions Via Conditional Gans for Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Longitudinal Feature Selection and Feature Learning for Parkinson's Disease Diagnosis and Prediction.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Adaptive Shape Priors Extracted From Contour Fragments.
IEEE Trans. Medical Imaging, 2019
Corrections to "Accurate Cervical Cell Segmentation From Overlapping Clumps in Pap Smear Images".
IEEE Trans. Medical Imaging, 2019
Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification.
IEEE Trans. Medical Imaging, 2019
IEEE J. Biomed. Health Informatics, 2019
Neuroimaging Retrieval via Adaptive Ensemble Manifold Learning for Brain Disease Diagnosis.
IEEE J. Biomed. Health Informatics, 2019
Protein-Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine.
IEEE J. Biomed. Health Informatics, 2019
Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations.
IEEE J. Biomed. Health Informatics, 2019
IEEE Trans. Cybern., 2019
Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features.
IEEE Trans. Biomed. Eng., 2019
Multim. Tools Appl., 2019
Medical Image Anal., 2019
Neurocomputing, 2019
An optimized generic cerebral tumor growth modeling framework by coupling biomechanical and diffusive models with treatment effects.
Appl. Soft Comput., 2019
IEEE Access, 2019
Aggressive Posterior Retinopathy of Prematurity Automated Diagnosis via a Deep Convolutional Network.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Retinopathy Diagnosis Using Semi-supervised Multi-channel Generative Adversarial Network.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019
Predicting Early Stages of Neurodegenerative Diseases via Multi-task Low-Rank Feature Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Diagnosis of Parkinson's Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble Learning.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson's Disease Diagnosis.
Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019
Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019
Deep Learning via Fused Bidirectional Attention Stacked Long Short-Term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk Screening.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
Automated Stage Analysis of Retinopathy of Prematurity Using Joint Segmentation and Multi-instance Learning.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
JOint Shape Matching for Overlapping Cytoplasm Segmentation in Cervical Smear Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Longitudinal and Multi-modal Data Learning for Parkinson's Disease Diagnosis via Stacked Sparse Auto-encoder.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
AttentionNet: Learning Where to Focus via Attention Mechanism for Anatomical Segmentation of Whole Breast Ultrasound Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Sparse Low-rank Constrained Adaptive Structure Learning using Multi-template for Autism Spectrum Disorder Diagnosis.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Attention Based Semi-Supervised Dictionary Learning for Diagnosis of Autism Spectrum Disorders.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019
Joint and Long Short-Term Memory Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal Data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Breast Cancer Image Classification via Multi-level Dual-network Features and Sparse Multi-Relation Regularized Learning.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Fully Automatic Pediatric Echocardiography Segmentation Using Deep Convolutional Networks Based on BiSeNet.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Low Rank Self-calibrated Brain Network Estimation and Autoweighted Centralized Multi-Task Learning for Early Mild Cognitive Impairment Diagnosis.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the Computing, Communications and IoT Applications, ComComAp 2019, Shenzhen, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
Convolutional 3D to 2D Patch Conversion for Pixel-Wise Glioma Segmentation in MRI Scans.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
A Deep Convolutional Neural Network-Based Framework for Automatic Fetal Facial Standard Plane Recognition.
IEEE J. Biomed. Health Informatics, 2018
Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting.
IEEE J. Biomed. Health Informatics, 2018
A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning.
Pattern Recognit., 2018
Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder-decoder network.
Neurocomputing, 2018
IEEE Access, 2018
Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Longitudinal and Multi-modal Data Learning via Joint Embedding and Sparse Regression for Parkinson's Disease Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Automatic and Efficient Standard Plane Recognition in Fetal Ultrasound Images via Multi-scale Dense Networks.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018
3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer's Disease Diagnosis.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018
Auto-context fully convolutional network for levator hiatus segmentation in ultrasoudn images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Join and Deep Ensemble Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal and Incomplete Data<sup>*</sup>.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
A Coupled Modified Reaction Diffusion and Biomechanical Models for Cerebral Tumor Growth Modeling in Presence of Treatment.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Medical Imaging, 2017
Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images.
IEEE Trans. Medical Imaging, 2017
Segmentation, Splitting, and Classification of Overlapping Bacteria in Microscope Images for Automatic Bacterial Vaginosis Diagnosis.
IEEE J. Biomed. Health Informatics, 2017
IEEE Trans. Cybern., 2017
Relational-Regularized Discriminative Sparse Learning for Alzheimer's Disease Diagnosis.
IEEE Trans. Cybern., 2017
Pattern Recognit., 2017
Neurocomputing, 2017
Affective parameter shaping in user experience prospect evaluation based on hierarchical Bayesian estimation.
Expert Syst. Appl., 2017
Augmenting feature model through customer preference mining by hybrid sentiment analysis.
Expert Syst. Appl., 2017
Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning.
Expert Syst. Appl., 2017
Aggregating Deep Convolutional Features for Melanoma Recognition in Dermoscopy Images.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
Performance Evaluation of Walking Imagery Training Based on Virtual Environment in Brain-Computer Interfaces.
Proceedings of the 19th IEEE International Symposium on Multimedia, 2017
Proceedings of the 19th IEEE International Symposium on Multimedia, 2017
Cross-Modal Transfer Learning for HEp-2 Cell Classification Based on Deep Residual Network.
Proceedings of the 19th IEEE International Symposium on Multimedia, 2017
Proceedings of the 19th IEEE International Symposium on Multimedia, 2017
Hybrid dermoscopy image classification framework based on deep convolutional neural network and Fisher vector.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Longitudinal analysis for mild cognitive impairment identification via fused group learning with smooth regularization.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Ensemble prediction of longitudinal scores of Alzheimer's disease based on ℓ2, 1-norm regularized correntropy with spatial-temporal constraint.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Bilevel Game-Theoretic Optimization for Product Adoption Maximization Incorporating Social Network Effects.
IEEE Trans. Syst. Man Cybern. Syst., 2016
Multim. Tools Appl., 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Bridging Computational Features Toward Multiple Semantic Features with Multi-task Regression: A Study of CT Pulmonary Nodules.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning.
IEEE Trans. Biomed. Eng., 2015
Optimal and secure audio watermarking scheme based on self-adaptive particle swarm optimization and quaternion wavelet transform.
Signal Process., 2015
Saliency-driven image classification method based on histogram mining and image score.
Pattern Recognit., 2015
A linear threshold-hurdle model for product adoption prediction incorporating social network effects.
Inf. Sci., 2015
Joint Learning of Multiple Longitudinal Prediction Models by Exploring Internal Relations.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the 10th International Conference on Information, 2015
Discriminative learning for automatic staging of placental maturity via multi-layer fisher vector.
Proceedings of the 10th International Conference on Information, 2015
2014
Neurocomputing, 2014
Expert Syst. Appl., 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the 19th International Conference on Digital Signal Processing, 2014
Segmentation and Splitting of Touching Vaginal Bacteria Based on Superpixel and Effective Distance.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
A deep learning based framework for accurate segmentation of cervical cytoplasm and nuclei.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
IEEE Trans. Speech Audio Process., 2013
Proceedings of the IEEE International Conference on Image Processing, 2013
Proceedings of the 9th International Conference on Information, 2013
2012
A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition.
Signal Process., 2012
J. Zhejiang Univ. Sci. C, 2012
Proceedings of the 2012 IEEE International Symposium on Multimedia, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
A Robust Audio Watermarking Scheme Based on Lifting Wavelet Transform and Singular Value Decomposition.
Proceedings of the Digital Forensics and Watermarking - 10th International Workshop, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the 8th International Conference on Information, 2011
2007
Embedded Software Optimization for AVS-P7 Decoder Real-time Implementation on RISC Core.
IEEE Trans. Consumer Electron., 2007