甘海涛｜湖北工业大学｜学者主页

2026

Robust carotid plaque classification network via structural similarity and manifold-regularized transition matrix

Ran Zhou, Yongrui Lv, Furong Wang, Nan Li, Cong Wu, Ji Wang, Haitao Gan

Expert systems with applications

DOI

2026

MRI-based fetal gestational age estimation using a structure-aware self-supervised network

Haitao Gan, Yi Liu, Qingsong Gao, Wei Xia, Yu Guo, Zhiwei Ye, Zhi Yang, Ran Zhou

European Radiology

DOI

2026

A contrastive enhancement and context guided fusion network for carotid plaque classification

Jie Dai, Haitao Gan

Intelligent Data Analysis

DOI

2026

Global and local pseudo-label filtering for semi-supervised carotid plaque classification from ultrasound

Ran Zhou, Wei Deng, Wenjie Yu, Furong Wang, Xinyao Cheng, Haitao Gan, Zhiwei Ye, Aaron Fenster

Computer Methods and Programs in Biomedicine

DOI

2026

WML-Net: Weakly supervised multi-task learning network for carotid plaque segmentation and classification

Haitao Gan, Liang Liu, Furong Wang, Zhi Yang, Ran Zhou, Xiangyang Xu

Biomedical Signal Processing and Control

DOI

2026

MCP-Net: A multi-task network for carotid plaque classification via morphological and compositional priors

Haitao Gan, Jie Dai, Zhi Yang, Ran Zhou, C Liu

Biomedical Signal Processing and Control

DOI

2026

Learning A Bank of Transferable Prompts for Vision-Language Models

Jiong Wang, Zhongwei Huang, Chong Wang, Endai Huang, Ran Zhou, Haitao Gan, Yingying Zhu, Xiaoyu Shen

International Conference on Multimedia Retrieval

DOI

2026

CANDY-Net: Cross-Modal Aligned Dual-Stream Network with Hierarchical Spatial-Frequency Features for Alzheimer’s Disease Classification

Zhi Yang, Lei Cheng, Haitao Gan, Ming Shi, Zhongwei Huang, Bo Cheng, Ji Wang

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2026

Adaptive Spectral Graph Attention Filtering Network for Alzheimer's Disease Classification Using Multimodal Data

Zhi Yang, Bo Cheng, Haitao Gan, Zhongwei Huang, Ran Zhou, Ji Wang

IEEE Journal of Biomedical and Health Informatics

DOI

2025

基于改进U-net的医学图像分割模型

杨永谱，甘海涛，夏薇，杨智，叶志伟

《湖北工业大学学报》

2025

EGMA-Net: Edge-guided multi-branch attention fusion network for gestational age prediction from fetal MRI

Jinting Chen, Qingsong Gao, Ran Zhou, Yang Liu, Wei Xia, Yu Guo, Yi Liu, Zhongwei Huang, Haitao Gan

Digital Signal Processing

DOI

2025

Edge‐Guided Deep Learning Model to Predict Fetal Brain Age Using MRI

Haitao Gan, Qingsong Gao, Zhi Qiang Yang, Yiyuan Zhou, Ran Zhou, Yu Guo, Wei Xia

Journal of Neuroimaging

DOI

2025

SML-Net: Semi-supervised multi-task learning network for carotid plaque segmentation and classification

Haitao Gan, Liang Liu, Furong Wang, Zhi Xiang Yang, Zhongwei Huang, Ran Zhou

Computerized Medical Imaging and Graphics

DOI

2025

Learning Robust Representations for Carotid Plaque Classification via Transition Matrix and Structural Similarity Regularization

Yongrui Lv, Ran Zhou, Cong Wu, Ji Wang, Haitao Gan

DOI

2025

FeaCL: Carotid plaque classification from ultrasound images using feature-level and instance-level contrast learning

Cheng Li, Kai Wang, Haitao Gan, Ran Zhou, Xinyao Cheng, Zhi Yang

Computerized Medical Imaging and Graphics

DOI

2025

Incomplete Multi-View Data Learning via Adaptive Embedding and Partial l 2,1 Norm Constraints for Parkinson’s Disease Diagnosis

Zhongwei Huang, Kai Wang, Chao Chen, Jianxia Chen, Jun Wan, Zhi Xiang Yang, Ran Zhou, Haitao Gan

IEEE Journal of Biomedical and Health Informatics

DOI

2025

Adaptive feature selection with flexible mapping for diagnosis and prediction of Parkinson's disease

Zhongwei Huang, Jianqiang Li, Jiatao Yang, Jun Wan, Jianxia Chen, Zhi Xiang Yang, Ming Shi, Ran Zhou, Haitao Gan

Engineering Applications of Artificial Intelligence

DOI

2025

A Region and Category Confidence-Based Multi-Task Network for Carotid Ultrasound Image Segmentation and Classification

Haitao Gan, Ran Zhou, Yanghan Ou, Furong Wang, Xinyao Cheng, Lingchao Fu, Aaron Fenster

IEEE Journal of Biomedical and Health Informatics

DOI

2025

Incomplete multi-view feature selection with adaptive consensus graph constraint for Parkinson's disease diagnosis

Zhongwei Huang, Jianqiang Li, Jun Wan, Jianxia Chen, Zhi Xiang Yang, Ming Shi, Ran Zhou, Haitao Gan

Applied Soft Computing

DOI

2025

Improved safe semi-supervised clustering based on capped ℓ21 norm

Haitao Gan, Zhi Xiang Yang, Ming Shi, Zhiwei Ye, Ran Zhou

Fuzzy Sets and Systems

DOI

2025

Localized Neighborhood Label Distribution Learning with Manifold-Regularization for Fetal Brain Age Estimation from MRI

Yiyuan Zhou, Ran Zhou, Wei Xia, Yu Guo, Zhongwei Huang, Haitao Gan

Lecture notes in computer science

DOI

2025

A Multi-task Learning Framework for Carotid Plaque Area Measurement in Imbalanced Datasets

Xinyan Fan, Zhenyu Gan, Jiyu Tao, Xinyao Cheng, Ji Wang, Ran Zhou, Zhongwei Huang, Haitao Gan

Lecture notes in computer science

DOI

2025

VWV-SSL: Carotid vessel-wall-volume segmentation via sequence structural similarity and augmentation consistency-based self-supervised learning

Ran Zhou, Furong Wang, Jing Ding, Zhongwei Huang, Haitao Gan, Fumin Guo, Aaron Fenster

IEEE Journal of Biomedical and Health Informatics

DOI

2025

A Tri-Factor Collaborative Optimization Federated Learning Framework for Fetal Brain Age Prediction using MRI

Qingsong Gao, Haitao Gan, Yi Liu, Wei Xia

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2025

Adaptive Multi-Scale Permutation Entropy Regularizer for Deep Imbalanced Fetal Brain Age Regression

Hao Wang, Ran Zhou, Wei Xia, Yang Liu, Cong Wu, Haitao Gan

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2025

PKFA-GCN: Prior Knowledge-Guided Feature Alignment Graph Convolutional Network with Effective Connectivity for Alzheimer's Disease Classification

Zhi Yang, Lei Cheng, Haitao Gan, Ming Shi, Zhongwei Huang, Bo Cheng

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2025

Incomplete Multimodal Alzheimer’s Disease Classification via Bidirectional GAN and Spectral Graph Learning

Bo Cheng, Zhi Yang, Haitao Gan, Zhongwei Huang, Ran Zhou, Ming Shi, Lei Cheng

Lecture notes in computer science

DOI

2024

BGMA-Net: A Boundary-Guided and Multi-attention Network for Skin Lesion Segmentation

Cong Wu, Yao Li, Yuan Zhou, Haitao Gan, Yi Han

International Conference on Intelligent Computing

DOI

2024

Tri-correcting: Label noise correction via triple CNN ensemble for carotid plaque ultrasound image classification

Ran Zhou, Weiyan Gan, Furong Wang, Zhi Xiang Yang, Zhongwei Huang, Haitao Gan

Biomedical Signal Processing and Control

DOI

2024

Parkinson’s disease classification and prediction via adaptive sparse learning from multiple modalities

Zhongwei Huang, Jianqiang Li, Jiatao Yang, Jun Wan, Jianxia Chen, Zhi Xiang Yang, Ming Shi, Ran Zhou, Haitao Gan

Biomedical Signal Processing and Control

DOI

2024

WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification

Haitao Gan, Lingchao Fu, Ran Zhou, Weiyan Gan, Furong Wang, Xiaoyan Wu, Zhi Xiang Yang, Zhongwei Huang

Engineering Applications of Artificial Intelligence

DOI

2024

Alzheimer’s disease classification based on brain region-to-sample graph convolutional network

Zhi Yang, Wenya Liu, Haitao Gan, Zhongwei Huang, Ran Zhou, Ming Shi

Biomedical Signal Processing and Control

DOI

2024

Adaptive Sparse Learning Based on Flexible Graph Embedding for Parkinson’s Disease Diagnosis

Zhongwei Huang, Jianqiang Li, Jiatao Yang, Ran Zhou, Jun Wan, Haitao Gan

DOI

2024

Contrastive pre-training of Soft-Clustering GCN for diagnosing Alzheimer’s disease

S. H. Ge, Zhi Xiang Yang, Haitao Gan, Zhongwei Huang, Ran Zhou, Ji Wang

DOI

2024

Discrimination-aware safe semi-supervised clustering

Haitao Gan, Weiyan Gan, Zhi Xiang Yang, Ran Zhou

Information Sciences

DOI

2024

Parkinson's Disease Diagnosis with Sparse Learning of Multi-Modal Adaptive Similarity

Jianqiang Li, Jiatao Yang, Haitao Gan, Zhongwei Huang

IEEE International Symposium on Biomedical Imaging (ISBI)

DOI

2024

Self-training with dual uncertainty for semi-supervised MRI image segmentation

Zhanhong Qiu, Haitao Gan, Ming Shi, Zhongwei Huang, Zhi Xiang Yang

Biomedical Signal Processing and Control

DOI

2024

JoCoRank: Joint correlation learning with ranking similarity regularization for imbalanced fetal brain age regression

Ran Zhou, Y Liu, Wei Xia, Yu Guo, Zhongwei Huang, Haitao Gan, Aaron Fenster

Computers in Biology and Medicine

DOI

2024

Dual uncertainty-guided multi-model pseudo-label learning for semi-supervised medical image segmentation

Zhanhong Qiu, Weiyan Gan, Zhi Yang, Ran Zhou, Haitao Gan

Mathematical Biosciences & Engineering

DOI

2024

A self-supervised fusion network for carotid plaque ultrasound image classification

Yue Zhang, Haitao Gan, Furong Wang, Xinyao Cheng, Xiaoyan Wu, Jiaxuan Yan, Zhi Yang, Ran Zhou

Mathematical Biosciences & Engineering

DOI

2023

A Multi-scale and Multi-attention Network for Skin Lesion Segmentation

Cong Wu, Hang Zhang, Ding-Sheng Chen, Haitao Gan

International Conference on Neural Information Processing

DOI

2023

PDFF‐CNN: An attention‐guided dynamic multi‐orientation feature fusion method for gestational age prediction on imbalanced fetal brain MRI dataset

Ziteng Feng, Ran Zhou, Wei Xia, Siru Wang, Yang Liu, Zhongwei Huang, Haitao Gan

Medical Physics

DOI

2023

An adaptively weighted ensemble of multiple CNNs for carotid ultrasound image segmentation

Ran Zhou, Furong Wang, Xiaoyue Fang, Aaron Fenster, Haitao Gan

Biomedical Signal Processing and Control

DOI

2023

An image registration-based self-supervised Su-Net for carotid plaque ultrasound image segmentation

Jing Ding, Ran Zhou, Xiaoyue Fang, Furong Wang, Ji Wang, Haitao Gan, Aaron Fenster

Computer Methods and Programs in Biomedicine

DOI

2023

LDW-RS Loss: Label Density-Weighted Loss with Ranking Similarity Regularization for Imbalanced Deep Fetal Brain Age Regression

Yang Liu, Siru Wang, Wei Xia, Aaron Fenster, Haitao Gan, Ran Zhou

Communications in computer and information science

DOI

2023

Hierarchical Pooling Graph Convolutional Neural Network for Alzheimer’s Disease Diagnosis

Wenya Liu, Zhi Qiang Yang, Haitao Gan, Zhongwei Huang, Ran Zhou, Ming Shi

Lecture notes in computer science

DOI

2023

SAL-Net: Semi-Supervised Auxiliary Learning Network for Carotid Plaques Classification

Lingchao Fu, Haitao Gan, Weiyan Gan, Zhi Yang, Ran Zhou, Furong Wang

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI

2023

Safe semi-supervised clustering based on Dempster–Shafer evidence theory

Haitao Gan, Zhi Xiang Yang, Ran Zhou, Li Guo, Zhiwei Ye, Rui Huang

Engineering Applications of Artificial Intelligence

DOI

2023

Carotid Vessel-Wall-Volume Ultrasound Measurement via a UNet++ Ensemble Algorithm Trained on Small Data Sets

Ran Zhou, Fumin Guo, Mahmoud Reza Azarpazhooh, John David Spence, Haitao Gan, Mingyue Ding, Aaron Fenster

Ultrasound in Medicine & Biology

DOI

2023

SSTVC: Carotid Plaque Classification from Ultrasound Images Using Self-supervised Triple-View Contrast Learning

Cheng Li, Xiaoyue Fang, Ran Zhou, Zhi Qiang Yang, Haitao Gan

Lecture notes in computer science

DOI

2023

An Alzheimer's Disease classification network based on MRI utilizing diffusion maps for multi-scale feature fusion in graph convolution

Zhi Yang, Kang Li, Haitao Gan, Zhongwei Huang, Ming Shi, Ran Zhou

Mathematical Biosciences & Engineering

DOI

2022

SSCPC-Net: Classification of carotid plaques in ultrasound images using a self-supervised convolutional neural network

Jiaxuan Yan, Haitao Gan, Xiangyang Xu, Zhi Qiang Yang, Zhiwei Ye

China Automation Congress (CAC)

DOI

2022

An auxiliary learning network for carotid ultrasound image classification

Yanghan Ou, Haitao Gan, Ran Zhou, Xiaoyue Fang

China Automation Congress (CAC)

DOI

2022

Ultrasound carotid plaque segmentation via image reconstruction-based self-supervised learning with limited training labels

Ran Zhou, Yanghan Ou, Xiaoyue Fang, Mahmoud Reza Azarpazhooh, Haitao Gan, Zhiwei Ye, John David Spence, Xiangyang Xu, Aaron Fenster

Mathematical Biosciences & Engineering

DOI

2022

A safe semi-supervised graph convolution network

Zhi Xiang Yang, Yadong Yan, Haitao Gan, Jing Zhao, Zhiwei Ye

Mathematical Biosciences & Engineering

DOI

2022

TBC-Unet: U-net with Three-Branch Convolution for Gliomas MRI Segmentation

Yongpu Yang, Haitao Gan, Zhi Qiang Yang

Lecture notes in computer science

DOI

2022

Time-of-flight completion in ultrasound computed tomography based on the singular value threshold algorithm

Xiaoyue Fang, Ran Zhou, Haitao Gan, Mingyue Ding, Ming Yuchi

Mathematical Biosciences & Engineering

DOI

2021

A Multimodal Biomedical Image Registration Method Based on an Improved Genetic Algorithm Inspired by Hybrid Breeding

Zeqing Qin, Zhiwei Ye, Zesong Wang, Haitao Gan, Furong Wang

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI

2021

Deep Learning-Based Carotid Plaque Segmentation from B-Mode Ultrasound Images

Ran Zhou, Mahmoud Reza Azarpazhooh, John David Spence, Samineh Hashemi, Wei Ma, Xinyao Cheng, Haitao Gan, Mingyue Ding, Aaron Fenster

Ultrasound in Medicine & Biology

DOI

2021

Capped ℓ1-norm regularized least squares classification with label noise

Zhi Xiang Yang, Haitao Gan, Xuan Li, Cong Wu

Journal of Intelligent & Fuzzy Systems

DOI

2021

$ \ell_{1} $-norm based safe semi-supervised learning

Haitao Gan, Zhi Xiang Yang, Ji Wang, Bing Li

Mathematical Biosciences & Engineering

DOI

2019

面向人脸特征点定位和姿态估计任务协同的DCNN方法

田卓，佘青山，甘海涛，孟明

《计量学报》

2019

多路径卷积神经网络的轮廓感知

谭明明，范影乐，武薇，佘青山，甘海涛

《中国图象图形学报》

2019

基于稀疏重构扩充法的单样本人脸识别算法

刘江，李明珠，刘国攸，周靖淞，甘海涛

《杭州电子科技大学学报(自然科学版)》

DOI

2019

生物视觉诱发的轮廓检测方法研究

黄春燕，范影乐，武薇，佘青山，甘海涛

《航天医学与医学工程》

DOI

2017

基于视通路多感受野朝向性关联的轮廓检测方法

李康群，范影乐，甘海涛，武薇

《中国生物医学工程学报》

2014

半监督聚类与分类算法研究

甘海涛

《华中科技大学》

精选作品

期刊论文

Robust carotid plaque classification network via structural similarity and manifold-regularized transition matrix

MRI-based fetal gestational age estimation using a structure-aware self-supervised network

A contrastive enhancement and context guided fusion network for carotid plaque classification

Global and local pseudo-label filtering for semi-supervised carotid plaque classification from ultrasound

WML-Net: Weakly supervised multi-task learning network for carotid plaque segmentation and classification

MCP-Net: A multi-task network for carotid plaque classification via morphological and compositional priors

Learning A Bank of Transferable Prompts for Vision-Language Models

CANDY-Net: Cross-Modal Aligned Dual-Stream Network with Hierarchical Spatial-Frequency Features for Alzheimer’s Disease Classification

Adaptive Spectral Graph Attention Filtering Network for Alzheimer's Disease Classification Using Multimodal Data

基于改进U-net的医学图像分割模型

EGMA-Net: Edge-guided multi-branch attention fusion network for gestational age prediction from fetal MRI

Edge‐Guided Deep Learning Model to Predict Fetal Brain Age Using MRI

SML-Net: Semi-supervised multi-task learning network for carotid plaque segmentation and classification

Learning Robust Representations for Carotid Plaque Classification via Transition Matrix and Structural Similarity Regularization

FeaCL: Carotid plaque classification from ultrasound images using feature-level and instance-level contrast learning

Incomplete Multi-View Data Learning via Adaptive Embedding and Partial l 2,1 Norm Constraints for Parkinson’s Disease Diagnosis

Adaptive feature selection with flexible mapping for diagnosis and prediction of Parkinson's disease

A Region and Category Confidence-Based Multi-Task Network for Carotid Ultrasound Image Segmentation and Classification

Incomplete multi-view feature selection with adaptive consensus graph constraint for Parkinson's disease diagnosis

Improved safe semi-supervised clustering based on capped ℓ21 norm

Localized Neighborhood Label Distribution Learning with Manifold-Regularization for Fetal Brain Age Estimation from MRI

A Multi-task Learning Framework for Carotid Plaque Area Measurement in Imbalanced Datasets

VWV-SSL: Carotid vessel-wall-volume segmentation via sequence structural similarity and augmentation consistency-based self-supervised learning

A Tri-Factor Collaborative Optimization Federated Learning Framework for Fetal Brain Age Prediction using MRI

Adaptive Multi-Scale Permutation Entropy Regularizer for Deep Imbalanced Fetal Brain Age Regression

PKFA-GCN: Prior Knowledge-Guided Feature Alignment Graph Convolutional Network with Effective Connectivity for Alzheimer's Disease Classification

Incomplete Multimodal Alzheimer’s Disease Classification via Bidirectional GAN and Spectral Graph Learning

BGMA-Net: A Boundary-Guided and Multi-attention Network for Skin Lesion Segmentation

Tri-correcting: Label noise correction via triple CNN ensemble for carotid plaque ultrasound image classification

Parkinson’s disease classification and prediction via adaptive sparse learning from multiple modalities

WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification

Alzheimer’s disease classification based on brain region-to-sample graph convolutional network

Adaptive Sparse Learning Based on Flexible Graph Embedding for Parkinson’s Disease Diagnosis

Contrastive pre-training of Soft-Clustering GCN for diagnosing Alzheimer’s disease

Discrimination-aware safe semi-supervised clustering

Parkinson's Disease Diagnosis with Sparse Learning of Multi-Modal Adaptive Similarity

Self-training with dual uncertainty for semi-supervised MRI image segmentation

JoCoRank: Joint correlation learning with ranking similarity regularization for imbalanced fetal brain age regression

Dual uncertainty-guided multi-model pseudo-label learning for semi-supervised medical image segmentation

A self-supervised fusion network for carotid plaque ultrasound image classification

A Multi-scale and Multi-attention Network for Skin Lesion Segmentation

PDFF‐CNN: An attention‐guided dynamic multi‐orientation feature fusion method for gestational age prediction on imbalanced fetal brain MRI dataset

An adaptively weighted ensemble of multiple CNNs for carotid ultrasound image segmentation

An image registration-based self-supervised Su-Net for carotid plaque ultrasound image segmentation

LDW-RS Loss: Label Density-Weighted Loss with Ranking Similarity Regularization for Imbalanced Deep Fetal Brain Age Regression

Hierarchical Pooling Graph Convolutional Neural Network for Alzheimer’s Disease Diagnosis

SAL-Net: Semi-Supervised Auxiliary Learning Network for Carotid Plaques Classification

Safe semi-supervised clustering based on Dempster–Shafer evidence theory

Carotid Vessel-Wall-Volume Ultrasound Measurement via a UNet++ Ensemble Algorithm Trained on Small Data Sets

SSTVC: Carotid Plaque Classification from Ultrasound Images Using Self-supervised Triple-View Contrast Learning

An Alzheimer's Disease classification network based on MRI utilizing diffusion maps for multi-scale feature fusion in graph convolution

SSCPC-Net: Classification of carotid plaques in ultrasound images using a self-supervised convolutional neural network

An auxiliary learning network for carotid ultrasound image classification

Ultrasound carotid plaque segmentation via image reconstruction-based self-supervised learning with limited training labels

A safe semi-supervised graph convolution network

TBC-Unet: U-net with Three-Branch Convolution for Gliomas MRI Segmentation

Time-of-flight completion in ultrasound computed tomography based on the singular value threshold algorithm

A Multimodal Biomedical Image Registration Method Based on an Improved Genetic Algorithm Inspired by Hybrid Breeding

Deep Learning-Based Carotid Plaque Segmentation from B-Mode Ultrasound Images

Capped ℓ1-norm regularized least squares classification with label noise

$ \ell_{1} $-norm based safe semi-supervised learning

面向人脸特征点定位和姿态估计任务协同的DCNN方法

多路径卷积神经网络的轮廓感知

基于稀疏重构扩充法的单样本人脸识别算法

生物视觉诱发的轮廓检测方法研究

基于视通路多感受野朝向性关联的轮廓检测方法

半监督聚类与分类算法研究

会议论文

A Multi-Orientation Feature Fusion CNN for Gestational Age Prediction from Fetal MRI Images

基于稀疏重构扩充法的单样本人脸识别算法

《基于任务协同的DCNN学习方法及人机交互应用》

研究方向