Bai Ying Lei

Orcid: 0000-0002-3087-2550

According to our database1, Bai Ying Lei authored at least 292 papers between 2007 and 2024.

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Bibliography

2024
End-to-End Prediction of EGFR Mutation Status With Denseformer.
IEEE J. Biomed. Health Informatics, January, 2024

Cell classification with worse-case boosting for intelligent cervical cancer screening.
Medical Image Anal., January, 2024

Multi-national CT image-label pairs synthesis for COVID-19 diagnosis via few-shot generative adversarial networks adaptation.
Neural Comput. Appl., 2024

2023
Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, December, 2023

Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain.
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

FIT-Net: Feature Interaction Transformer Network for Pathologic Myopia Diagnosis.
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

Structure invariance-driven collaborative contrastive network for EEG decoding.
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

Data Discernment for Affordable Training in Medical Image Segmentation.
IEEE Trans. Medical Imaging, May, 2023

TA-GAN: transformer-driven addiction-perception generative adversarial network.
Neural Comput. Appl., May, 2023

OCD diagnosis via smooth sparse network and fused sparse auto-encoder learning.
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

LAC-GAN: Lesion attention conditional GAN for Ultra-widefield image synthesis.
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

Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline.
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

Multi-national COVID-19 CT Image-label Pairs Synthesis via Few-Shot GANs Adaptation.
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

Diagnosis of Covid-19 Via Multi-Layer Multi-Center Graph Attention Network.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

FedEEG: Federated EEG Decoding Via inter-Subject Structure Matching.
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

Dense Swin Transformer for Classification of Thyroid Nodules.
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

Dual Branch CNN and Transformer for Cardiac Atherosclerotic Plaque Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Weakly Supervised Myeloma Cells Segmentation based on Point Annotation.
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
Tensorizing GAN With High-Order Pooling for Alzheimer's Disease Assessment.
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

Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis.
IEEE Trans. Medical Imaging, 2022

ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images.
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

Epileptic Classification With Deep-Transfer-Learning-Based Feature Fusion Algorithm.
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

FAT-Net: Feature adaptive transformers for automated skin lesion segmentation.
Medical Image Anal., 2022

Fully transformer network for skin lesion analysis.
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

Predicting clinical scores for Alzheimer's disease based on joint and deep learning.
Expert Syst. Appl., 2022

Cross-Subject Emotion Recognition with Sparsely-Labeled Peripheral Physiological Data Using SHAP-Explained Tree Ensembles.
CoRR, 2022

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment.
CoRR, 2022

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images.
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

Scale-adaptive super-feature based MetricUNet for brain tumor segmentation.
Biomed. Signal Process. Control., 2022

Joint segmentation and classification task via adversarial network: Application to HEp-2 cell images.
Appl. Soft Comput., 2022

Multi-center sparse learning and decision fusion for automatic COVID-19 diagnosis.
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

STAU-Net: A Spatial Structure Attention Network for 3D Coronary Artery Segmentation.
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

Attention-based Graph Neural Network for the Classification of Parkinson's Disease.
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

Incremental Quaternion Random Neural Networks.
Proceedings of the Cognitive Systems and Information Processing, 2022

A Drug Repositioning Approach Using Drug and Disease Features.
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
Maximum Correntropy Criterion-Based Hierarchical One-Class Classification.
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

Augmented Multicenter Graph Convolutional Network for COVID-19 Diagnosis.
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

Automated detection of retinopathy of prematurity by deep attention network.
Multim. Tools Appl., 2021

Cross-attention multi-branch network for fundus diseases classification using SLO images.
Medical Image Anal., 2021

SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation.
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

Building Student Course Performance Prediction Model Based on Deep Learning.
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

A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions.
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

Multi-directional Attention Network for Segmentation of Pediatric Echocardiographic.
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

Structure and Feature Based Graph U-Net for Early Alzheimer's Disease Prediction.
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

Selective Learning from External Data for CT Image Segmentation.
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

Semi-supervised Yolo Network for Induced Pluripotent Stem Cells Detection.
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

Deep and joint learning of longitudinal data for Alzheimer's disease prediction.
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

Hybrid descriptor for placental maturity grading.
Multim. Tools Appl., 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

Fine-grained facial expression analysis using dimensional emotion model.
Neurocomputing, 2020

Driver fatigue transition prediction in highly automated driving using physiological features.
Expert Syst. Appl., 2020

Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain.
CoRR, 2020

Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network.
CoRR, 2020

A model-guided deep network for limited-angle computed tomography.
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

Constrained Multi-shape Evolution for Overlapping Cytoplasm Segmentation.
CoRR, 2020

CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images.
CoRR, 2020

A deep network for sinogram and CT image reconstruction.
CoRR, 2020

Convolutional descriptors aggregation via cross-net for skin lesion recognition.
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

Learning 3D Features with 2D CNNs via Surface Projection for CT Volume Segmentation.
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

Brain MR to PET Synthesis via Bidirectional Generative Adversarial Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Self-weighted Multi-task Learning for Subjective Cognitive Decline Diagnosis.
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

Semi-Supervised GANs with Complementary Generator Pair for Retinopathy Screening.
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

High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation.
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

Dense Deconvolutional Network for Skin Lesion Segmentation.
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

Joint Learning of Multiple Differential Networks With Latent Variables.
IEEE Trans. Cybern., 2019

Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features.
IEEE Trans. Biomed. Eng., 2019

Multipurpose watermarking scheme via intelligent method and chaotic map.
Multim. Tools Appl., 2019

Multi-task learning for quality assessment of fetal head ultrasound images.
Medical Image Anal., 2019

Deeply supervised full convolution network for HEp-2 specimen image segmentation.
Neurocomputing, 2019

SANet: Superpixel Attention Network for Skin Lesion Attributes Detection.
CoRR, 2019

An optimized generic cerebral tumor growth modeling framework by coupling biomechanical and diffusive models with treatment effects.
Appl. Soft Comput., 2019

A Deep Learning Framework for Identifying Zone I in RetCam Images.
IEEE Access, 2019

Deep Learning Framework for Alzheimer's Disease Diagnosis via 3D-CNN and FSBi-LSTM.
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

Multi-scale Graph Convolutional Network for Mild Cognitive Impairment Detection.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

OCD Diagnosis via Smoothing Sparse Network and Stacked Sparse Auto-Encoder Learning.
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

SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound Images.
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

Multi-template Based Auto-Weighted Adaptive Structural Learning for ASD Diagnosis.
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

Graph Convolutional Network Analysis for Mild Cognitive Impairment Prediction.
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

Decision-Augmented Generative Adversarial Network for Skin Lesion Segmentation.
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

An Improved Object Detection Method for Mitosis Detection.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

MelanomaNet: An Effective Network for Melanoma Detection.
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

Segmentation Guided HEp-2 Cell Classification with Adversarial Networks.
Proceedings of the Computing, Communications and IoT Applications, ComComAp 2019, Shenzhen, 2019

Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans.
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

A Dense Phase Descriptor for Human Ear Recognition.
IEEE Access, 2018

Macroscopic Cerebral Tumor Growth Modeling From Medical Images: A Review.
IEEE Access, 2018

Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN.
Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018

Multi-task Sparse Low-Rank Learning for Multi-classification of Parkinson's Disease.
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

Placental maturity grading via hybrid descriptors based on fisher vector.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Longitudinal and multi-modal data learning for Parkinson's disease diagnosis.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Deeply Supervised Residual Network for HEp-2 Cell Classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Skin Lesion Segmentation via Dense Connected Deconvolutional Network.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Multi-classification of Parkinson's Disease via Sparse Low-Rank Learning.
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
Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images.
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

FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks.
IEEE Trans. Cybern., 2017

Relational-Regularized Discriminative Sparse Learning for Alzheimer's Disease Diagnosis.
IEEE Trans. Cybern., 2017

Multi-modal and multi-layout discriminative learning for placental maturity staging.
Pattern Recognit., 2017

Automatic placental maturity grading via hybrid learning.
Neurocomputing, 2017

Assessment of liver fibrosis in chronic hepatitis B via multimodal data.
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

Skin Lesion Segmentation via Deep RefineNet.
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

Adaptive Sparse Learning for Neurodegenerative Disease Classification.
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

Using Stacked Denoising Autoencoder for the Student Dropout Prediction.
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

Robust scream sound detection via sound event partitioning.
Multim. Tools Appl., 2016

Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression.
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

Adaptive ensemble manifold learning for neuroimaging retrieval.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Segmenting overlapping cervical cell in Pap smear images.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Placental maturity evaluation via feature fusion and discriminative learning.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Fetal facial standard plane recognition via very deep convolutional networks.
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

Multipurpose and intelligent watermarking scheme for medical data.
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
Content-based classification of breath sound with enhanced features.
Neurocomputing, 2014

Reversible watermarking scheme for medical image based on differential evolution.
Expert Syst. Appl., 2014

Automatic recognition of fetal standard plane in ultrasound image.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Sound-event partitioning and feature normalization for robust sound-event detection.
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

Automatic grading of placental maturity based on LIOP and fisher vector.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Robust SVD-Based Audio Watermarking Scheme With Differential Evolution Optimization.
IEEE Trans. Speech Audio Process., 2013

Robust and secure watermarking scheme for breath sound.
J. Syst. Softw., 2013

Object recognition based on adapative bag of feature and discriminative learning.
Proceedings of the IEEE International Conference on Image Processing, 2013

Robust watermarking scheme for medical image using optimization method.
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

A multipurpose audio watermarking algorithm with synchronization and encryption.
J. Zhejiang Univ. Sci. C, 2012

Logo Classification with Edge-Based DAISY Descriptor.
Proceedings of the 2012 IEEE International Symposium on Multimedia, 2012

Optimal watermarking scheme for breath sound.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Blind and robust audio watermarking scheme based on SVD-DCT.
Signal Process., 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

A new blind robust image watermarking scheme in SVD-DCT composite domain.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

A particle swarm optimization based audio watermarking scheme.
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


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