Classification of Foreign Object Debris Using Integrated Visual Features and Extreme Learning Machine. - Kai Hu 002; Dongshun Cui; Yuan Zhang 022; Chunhong Cao; Fen Xiao; Guang-Bin Huang (CCCV (3), 2017)

Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function. - Kai Hu 002; Zhenzhen Zhang; Xiaorui Niu; Yuan Zhang 022; Chunhong Cao; Fen Xiao; Xieping Gao (Neurocomputing, 2018)

Brain Tumor Segmentation Using Multi-Cascaded Convolutional Neural Networks and Conditional Random Field. - Kai Hu 002; Qinghai Gan; Yuan Zhang 022; Shuhua Deng; Fen Xiao; Wei Huang; Chunhong Cao; Xieping Gao (IEEE Access, 2019)

Classification of melanoma based on feature similarity measurement for codebook learning in the bag-of-features model. - Kai Hu 002; Xiaorui Niu; Si Liu; Yuan Zhang 022; Chunhong Cao; Fen Xiao; Wanchun Yang; Xieping Gao (Biomed. Signal Process. Control., 2019)

Markov multiple feature random fields model for the segmentation of brain MR images. - Kai Hu 002; Xieping Gao; Yuan Zhang 022 (Expert Syst. Appl., 2019)

Automatic segmentation of retinal layer boundaries in OCT images using multiscale convolutional neural network and graph search. - Kai Hu 002; Binwei Shen; Yuan Zhang 022; Chunhong Cao; Fen Xiao; Xieping Gao (Neurocomputing, 2019)

A Skin Lesion Segmentation Method Based on Saliency and Adaptive Thresholding in Wavelet Domain. - Kai Hu 002; Si Liu; Yuan Zhang 022; Chunhong Cao; Fen Xiao; Wei Huang; Xieping Gao (Cognitive Internet of Things, 2019)

LDNFSGB: prediction of long non-coding rna and disease association using network feature similarity and gradient boosting. - Yuan Zhang 022; Fei Ye; Dapeng Xiong; Xieping Gao (BMC Bioinform., 2020)

Automatic segmentation of intracerebral hemorrhage in CT images using encoder-decoder convolutional neural network. - Kai Hu 002; Kai Chen 027; Xizhi He; Yuan Zhang 022; Zhineng Chen; Xuanya Li; Xieping Gao (Inf. Process. Manag., 2020)

Automatic segmentation of dermoscopy images using saliency combined with adaptive thresholding based on wavelet transform. - Kai Hu 002; Si Liu; Yuan Zhang 022; Chunhong Cao; Fen Xiao; Wei Huang; Xieping Gao (Multim. Tools Appl., 2020)

ERV-Net: An efficient 3D residual neural network for brain tumor segmentation. - Xinyu Zhou; Xuanya Li; Kai Hu 002; Yuan Zhang 022; Zhineng Chen; Xieping Gao (Expert Syst. Appl., 2021)

Deep supervised learning using self-adaptive auxiliary loss for COVID-19 diagnosis from imbalanced CT images. - Kai Hu 002; Yingjie Huang; Wei Huang; Hui Tan; Zhineng Chen; Zheng Zhong; Xuanya Li; Yuan Zhang 022; Xieping Gao (Neurocomputing, 2021)

DeepRibSt: a multi-feature convolutional neural network for predicting ribosome stalling. - Yuan Zhang 022; Sai Zhang; Xizhi He; Jing Lu; Xieping Gao (Multim. Tools Appl., 2021)

Embedded Residual Recurrent Network and Graph Search for the Segmentation of Retinal Layer Boundaries in Optical Coherence Tomography. - Kai Hu 002; Dong Liu; Zhineng Chen; Xuanya Li; Yuan Zhang 022; Xieping Gao (IEEE Trans. Instrum. Meas., 2021)

TransMixer: A Hybrid Transformer and CNN Architecture for Polyp Segmentation. - Yanglin Huang; Donghui Tan; Yuan Zhang 022; Xuanya Li; Kai Hu 002 (BIBM, 2022)

TransCoop: Cooperation of Transformers and CNNs for Camouflaged Object Segmentation. - Fucai Wu; Xuanya Li; Yuan Zhang 022; Kai Hu 002 (ICME, 2022)

I2-Net: Intra- and Inter-scale Collaborative Learning Network for Abdominal Multi-organ Segmentation. - Chao Suo; Xuanya Li; Donghui Tan; Yuan Zhang 022; Xieping Gao (ICMR, 2022)

Bridge-Net: Context-involved U-net with patch-based loss weight mapping for retinal blood vessel segmentation. - Yuan Zhang 022; Miao He; Zhineng Chen; Kai Hu 002; Xuanya Li; Xieping Gao (Expert Syst. Appl., 2022)

MCA-Net: Multi-Feature Coding and Attention Convolutional Neural Network for Predicting lncRNA-Disease Association. - Yuan Zhang 022; Fei Ye; Xieping Gao (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Joint-Seg: Treat Foveal Avascular Zone and Retinal Vessel Segmentation in OCTA Images as a Joint Task. - Kai Hu 002; Shuai Jiang; Yuan Zhang 022; Xuanya Li; Xieping Gao (IEEE Trans. Instrum. Meas., 2022)

Automatic Segmentation of Nasopharyngeal Carcinoma in CT Images Using Dual Attention and Edge Detection. - Qizhi Wang; Wei Huang; Yuan Zhang 022; Xuanya Li; Xiongjun Ye; Kai Hu 002 (ICASSP, 2023)

Boundary Cue Guidance and Contextual Feature Mining for Glass Segmentation. - Qiquan Xiao; Yuan Zhang 022; Xuanya Li; Kai Hu 002 (ICASSP, 2023)

Transwnet: Integrating Transformers into CNNS via Row and Column Attention for Abdominal Multi-Organ Segmentation. - Yazhen Xie; Yanglin Huang; Yuan Zhang 022; Xuanya Li; Xiongjun Ye; Kai Hu 002 (ICASSP, 2023)

MWG-Net: Multiscale Wavelet Guidance Network for COVID-19 Lung Infection Segmentation From CT Images. - Kai Hu 002; Hui Tan; Yuan Zhang 022; Wei Huang; Xieping Gao (IEEE Trans. Instrum. Meas., 2023)

DSC-Net: A Novel Interactive Two-Stream Network by Combining Transformer and CNN for Ultrasound Image Segmentation. - Kai Hu 002; Yadong Zhu; Tianxin Zhou; Yuan Zhang 022; Chunhong Cao; Fen Xiao; Xieping Gao (IEEE Trans. Instrum. Meas., 2023)

Boundary-Guided and Region-Aware Network With Global Scale-Adaptive for Accurate Segmentation of Breast Tumors in Ultrasound Images. - Kai Hu 002; Xiang Zhang; Dongjin Lee; Dapeng Xiong; Yuan Zhang 022; Xieping Gao (IEEE J. Biomed. Health Informatics, 2023)

Polyp segmentation with distraction separation. - Tongtong Liu; Xiongjun Ye; Kai Hu 002; Dapeng Xiong; Yuan Zhang 022; Xuanya Li; Xieping Gao (Expert Syst. Appl., 2023)

GDTNet: A Synergistic Dilated Transformer and CNN by Gate Attention for Abdominal Multi-organ Segmentation. - Can Zhang; Zhiqiang Wang; Yuan Zhang 022; Xuanya Li; Kai Hu 002 (MMM (4), 2024)

One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation. - Kai Hu 002; Jinhao Li 009; Yuan Zhang 022; Xiongjun Ye; Xieping Gao (NeurIPS, 2024)

Multi-view Masked Contrastive Representation Learning for Endoscopic Video Analysis. - Kai Hu 002; Ye Xiao; Yuan Zhang 022; Xieping Gao (NeurIPS, 2024)

MCNet: A multi-level context-aware network for the segmentation of adrenal gland in CT images. - Jinhao Li 009; Huying Li; Yuan Zhang 022; Zhiqiang Wang; Sheng Zhu; Xuanya Li; Kai Hu 002; Xieping Gao (Neural Networks, 2024)

Multi-scale object equalization learning network for intracerebral hemorrhage region segmentation. - Yuan Zhang 022; Yanglin Huang; Kai Hu 002 (Neural Networks, 2024)

Multi-scale Perception and Feature Refinement Network for multi-class segmentation of intracerebral hemorrhage in CT images. - Ye Xiao; Yuanyuan Hou; Zhiqiang Wang; Yuan Zhang 022; Xuanya Li; Kai Hu 002; Xieping Gao (Biomed. Signal Process. Control., 2024)

Cross-level collaborative context-aware framework for medical image segmentation. - Chao Suo; Tianxin Zhou; Kai Hu 002; Yuan Zhang 022; Xieping Gao (Expert Syst. Appl., 2024)

Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation. - Yanglin Huang; Kai Hu 002; Yuan Zhang 022; Zhineng Chen; Xieping Gao (AAAI, 2025)

Multiscale Feature Enhancement and Adaptive Receptive Field for Tiny Object Detection in Remote Sensing Images. - Yunpeng Zeng; An Luo; Kefan Zhan; Jiaxin Li; Yuan Zhang 022; Kai Hu 002 (ICMR, 2025)

Joint Segmentation of FAZ and RVs in OCTA Images With Auxiliary 3-D Image Projection Learning. - Shuai Jiang; Kai Hu 002; Yuan Zhang 022; Xieping Gao (IEEE Trans. Instrum. Meas., 2025)

Multi-Perspective Pseudo-Label Generation and Confidence-Weighted Training for Semi-Supervised Semantic Segmentation. - Kai Hu 002; Xiaobo Chen; Zhineng Chen; Yuan Zhang 022; Xieping Gao (IEEE Trans. Multim., 2025)

Progressive Learning Strategy for Few-Shot Class-Incremental Learning. - Kai Hu 002; Yunjiang Wang; Yuan Zhang 022; Xieping Gao (IEEE Trans. Cybern., 2025)

Improving mutation pathogenicity prediction of metal-binding sites in proteins with a panoramic attention mechanism. - Yuan Zhang 022; Jiafeng Wu; Qiuye Zhao; Mingyuan Dong; Junsheng Deng; Xieping Gao; Kai Hu 002; Dapeng Xiong (Pattern Recognit., 2026)