A Novel Image Encryption Algorithm Based on Improved 3D Chaotic Cat Map. - Hongjuan Liu; Zhiliang Zhu; Huiyan Jiang; Beilei Wang (ICYCS, 2008)

The Study of 3D Reconstruction Method Based on Dynamic Threshold Method and Improved Ray Casting Algorithm. - Huiyan Jiang; Yudong Zhao; Ning Li (IIH-MSP, 2008)

Alternative Iterations Based Registration for Contrast-Enhanced Multiphase Liver CT Images. - Ke Zhai 003; Zhiliang Zhu; Ying Cao; Beilei Wang; Hongjuan Liu; Huiyan Jiang (BMEI, 2009)

Automatic 3D segmentation of CT images based on active contour models. - Huiyan Jiang; Qingshui Cheng (CAD/Graphics, 2009)

The Study of Interpolation Algorithm Based on Cubic Spline in Marching Cubes Method. - Huiyan Jiang; Yudong Zhao (FSKD (5), 2009)

Liver cancer identification based on PSO-SVM model. - Huiyan Jiang; Fengzhen Tang; Xiyue Zhang (ICARCV, 2010)

Improved Particle Swarm Optimization for Fuzzy Neural Network Traning. - Chengjun Jin; Guiran Chang; Wei Cheng; Huiyan Jiang (ICGEC, 2011)

Morlet-RBF SVM Model for Medical Images Classification. - Huiyan Jiang; Xiangying Liu; Lingbo Zhou; Hiroshi Fujita 001; Xiangrong Zhou (ISNN (2), 2011)

Memory Bandwidth Optimization Strategy of Coarse-Grained Reconfigurable Architecture. - Peng Cao 002; Huiyan Jiang; Bo Liu 019; Weiwei Shan (CyberC, 2012)

Medical image processing and computer-aided detection/diagnosis (CAD). - Hiroshi Fujita 001; Fumio Nogata; Huiyan Jiang; Shoji Kido; T. Feng; Takeshi Hara; Tatsuro Hayashi; Yasushi Hirano; Akitoshi Katsumata; Y. Kawamura; T. Kokubo; J. Liu; et al. (ICCH, 2012)

Efficient shape representation and statistical shape modeling of the liver using spherical harmonic functions (SPHARM). - Tomo ko Tatey ama; Megumi Okegawa; Mei Uetani; Hidetoshi Tanaka; Shinya Kohara; Xian-Hua Han; Shuzo Kanasaki; Shigetaka Sato; Makoto Wakamiya; Akira Furukawa; Huiyan Jiang; Yen-Wei Chen 001 (SCIS&ISIS, 2012)

Computational Intelligence in Biomedical Science and Engineering. - Yen-Wei Chen 001; Ikuko Nishikawa; Shinichi Tamura; Bao-Liang Lu; Huiyan Jiang (Comput. Intell. Neurosci., 2012)

Medical Image Compression Based on Vector Quantization with Variable Block Sizes in Wavelet Domain. - Huiyan Jiang; Zhiyuan Ma; Yang Hu; Benqiang Yang; Libo Zhang (Comput. Intell. Neurosci., 2012)

A Region Growing Vessel Segmentation Algorithm Based on Spectrum Information. - Huiyan Jiang; Baochun He; Di Fang 005; Zhiyuan Ma; Benqiang Yang; Libo Zhang (Comput. Math. Methods Medicine, 2013)

Liver Segmentation Based on Snakes Model and Improved GrowCut Algorithm in Abdominal CT Image. - Huiyan Jiang; Baochun He; Zhiyuan Ma; Zong Mao; Xiangrong Zhou; Hiroshi Fujita 001 (Comput. Math. Methods Medicine, 2013)

A Hybrid Method for Pancreas Extraction from CT Image Based on Level Set Methods. - Huiyan Jiang; HanQing Tan; Hiroshi Fujita 001 (Comput. Math. Methods Medicine, 2013)

Construction of Classifier Based on MPCA and QSA and Its Application on Classification of Pancreatic Diseases. - Huiyan Jiang; Di Zhao; Tianjiao Feng; Shiyang Liao; Yen-Wei Chen 001 (Comput. Math. Methods Medicine, 2013)

A Novel Multiinstance Learning Approach for Liver Cancer Recognition on Abdominal CT Images Based on CPSO-SVM and IO. - Huiyan Jiang; Ruiping Zheng; Dehui Yi; Di Zhao (Comput. Math. Methods Medicine, 2013)

Segmentation of liver and spleen based on computational anatomy models. - Chunhua Dong; Yen-Wei Chen 001; Amir Hossein Foruzan; Lanfen Lin; Xian-Hua Han; Tomoko Tateyama; Xing Wu 001; Gang Xu; Huiyan Jiang (Comput. Biol. Medicine, 2015)

The Research of Feature Extraction Method of Liver Pathological Image Based on Multispatial Mapping and Statistical Properties. - Huiling Liu; Huiyan Jiang; Bingbing Xia; Dehui Yi (Comput. Math. Methods Medicine, 2016)

The Hybrid Feature Selection Algorithm Based on Maximum Minimum Backward Selection Search Strategy for Liver Tissue Pathological Image Classification. - Huiling Liu; Huiyan Jiang; Ruiping Zheng (Comput. Math. Methods Medicine, 2016)

A Novel Hepatocellular Carcinoma Image Classification Method Based on Voting Ranking Random Forests. - Bingbing Xia; Huiyan Jiang; Huiling Liu; Dehui Yi (Comput. Math. Methods Medicine, 2016)

Bacterial Foraging Algorithm Based on Reinforcement Learning for Continuous Optimizations. - Huiyan Jiang; Wanpeng Dong; Lianbo Ma; Rui Wang 017 (ISICA (1), 2017)

Joint multiple fully connected convolutional neural network with extreme learning machine for hepatocellular carcinoma nuclei grading. - Siqi Li 002; Huiyan Jiang; Wenbo Pang (Comput. Biol. Medicine, 2017)

A Novel Fusion Framework Based on Adaptive PCNN in NSCT Domain for Whole-Body PET and CT Images. - Zhiying Song; Huiyan Jiang; Siqi Li 002 (Comput. Math. Methods Medicine, 2017)

An Alzheimers disease related genes identification method based on multiple classifier integration. - Yu Miao; Huiyan Jiang; Huiling Liu; Yu-Dong Yao (Comput. Methods Programs Biomed., 2017)

Interactive Liver Segmentation in CT Volumes Using Fully Convolutional Networks. - Titinunt Kitrungrotsakul; Yutaro Iwamoto; Xian-Hua Han; Wei Xiong 001; Lanfen Lin; Hongjie Hu; Huiyan Jiang; Yen-Wei Chen 001 (IIMSS, 2018)

Abdominal Organs Segmentation Based on Multi-path Fully Convolutional Network and Random Forests. - Yangzi Yang; Huiyan Jiang; Yen-Wei Chen 001 (IIMSS, 2018)

An Effective Multi-classification Method for NHL Pathological Images. - Huiyan Jiang; Zhongkuan Li; Siqi Li 002; Fucai Zhou (SMC, 2018)

An effective computer aided diagnosis model for pancreas cancer on PET/CT images. - Siqi Li 002; Huiyan Jiang; Zhiguo Wang 001; Guoxu Zhang; Yu-Dong Yao (Comput. Methods Programs Biomed., 2018)

Structure convolutional extreme learning machine and case-based shape template for HCC nucleus segmentation. - Siqi Li 002; Huiyan Jiang; Yu-Dong Yao; Wenbo Pang; Qingjiao Sun; Li Kuang (Neurocomputing, 2018)

Organ Location Determination and Contour Sparse Representation for Multiorgan Segmentation. - Siqi Li 002; Huiyan Jiang; Yu-Dong Yao; Benqiang Yang (IEEE J. Biomed. Health Informatics, 2018)

Learning 3D non-rigid deformation based on an unsupervised deep learning for PET/CT image registration. - Hengjian Yu; Xiangrong Zhou; Huiyan Jiang; Hongjian Kang; Zhiguo Wang; Takeshi Hara; Hiroshi Fujita 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Liver Tumor Segmentation Based on Multi-Scale Candidate Generation and Fractal Residual Network. - Zhiqi Bai; Huiyan Jiang; Siqi Li 002; Yu-Dong Yao (IEEE Access, 2019)

AHCNet: An Application of Attention Mechanism and Hybrid Connection for Liver Tumor Segmentation in CT Volumes. - Huiyan Jiang; Tianyu Shi; Zhiqi Bai; Liangliang Huang (IEEE Access, 2019)

Visibility Attribute Extraction and Anomaly Detection for Chinese Diagnostic Report Based on Cascade Networks. - Jitong Zhang; Huiyan Jiang; Liangliang Huang; Yu-Dong Yao; Siqi Li 002 (IEEE Access, 2019)

Stacked sparse autoencoder and case-based postprocessing method for nucleus detection. - Siqi Li 002; Huiyan Jiang; Jie Bai; Ye Liu; Yu-Dong Yao (Neurocomputing, 2019)

An Optimized Registration Method Based on Distribution Similarity and DVF Smoothness for 3D PET and CT Images. - Hongjian Kang; Huiyan Jiang; Xiangrong Zhou; Hengjian Yu; Takeshi Hara; Hiroshi Fujita 001; Yu-Dong Yao (IEEE Access, 2020)

DenseX-Net: An End-to-End Model for Lymphoma Segmentation in Whole-Body PET/CT Images. - Haoming Li 003; Huiyan Jiang; Siqi Li 002; Meng Wang 029; Zhiguo Wang 001; Guoxiu Lu; Jia Guo; Youchao Wang (IEEE Access, 2020)

Unsupervised 3D PET-CT Image Registration Method Using a Metabolic Constraint Function and a Multi-Domain Similarity Measure. - Hengjian Yu; Huiyan Jiang; Xiangrong Zhou; Takeshi Hara; Yu-Dong Yao; Hiroshi Fujita 001 (IEEE Access, 2020)

Two stage residual CNN for texture denoising and structure enhancement on low dose CT image. - Liangliang Huang; Huiyan Jiang; Shaojie Li; Zhiqi Bai; Jitong Zhang (Comput. Methods Programs Biomed., 2020)

A Stacked Generalization U-shape network based on zoom strategy and its application in biomedical image segmentation. - Tianyu Shi; Huiyan Jiang; Bin Zheng 001 (Comput. Methods Programs Biomed., 2020)

Multi-Scale Context Interaction Learning network for Medical Image Segmentation. - Wenhao Fang; Xian-Hua Han; Xu Qiao; Huiyan Jiang; Yen-Wei Chen 001 (MIPR, 2021)

Improving the fidelity of CT image colorization based on pseudo-intensity model and tumor metabolism enhancement. - Zexu Zhang; Huiyan Jiang; Jiaji Liu; Tianyu Shi (Comput. Biol. Medicine, 2021)

AW-SDRLSE: Adaptive Weighting and Scalable Distance Regularized Level Set Evolution for Lymphoma Segmentation on PET Images. - Siqi Li 002; Huiyan Jiang; Haoming Li 003; Yu-Dong Yao (IEEE J. Biomed. Health Informatics, 2021)

Classification of lymphoma subtypes in PET/CT images based on a bidirectional feature fusion method. - Wenbo Pang; Huiyan Jiang; Yonglong Zhang; Yizhou Chen; Zhiguo Wang 001; Jia Guo; Guoxiu Lu; Youchao Wang (ICBBE, 2022)

Uncertainty Analysis Based Attention Network for Lung Nodule Segmentation from CT Images. - Guangrui Liang; Zhaoshuo Diao; Huiyan Jiang (ICVARS, 2022)

Parallel 'same' and 'valid' convolutional block and input-collaboration strategy for histopathological image classification. - Huiyan Jiang; Siqi Li 002; Haoming Li 003 (Appl. Soft Comput., 2022)

DFSNE-Net: Deviant feature sensitive noise estimate network for low-dose CT denoising. - Jiaji Liu; Huiyan Jiang; Fuzhen Ning; Min Li; Wenbo Pang (Comput. Biol. Medicine, 2022)

Multi-stage puncture path planning algorithm of ablation needles for percutaneous radiofrequency ablation of liver tumors. - Min Luo; Huiyan Jiang; Tianyu Shi (Comput. Biol. Medicine, 2022)

PSR-Nets: Deep neural networks with prior shift regularization for PET/CT based automatic, accurate, and calibrated whole-body lymphoma segmentation. - Meng Wang 029; Huiyan Jiang; Tianyu Shi; Zhiguo Wang 001; Jia Guo; Guoxiu Lu; Youchao Wang; Yu-Dong Yao (Comput. Biol. Medicine, 2022)

A unified uncertainty network for tumor segmentation using uncertainty cross entropy loss and prototype similarity. - Zhaoshuo Diao; Huiyan Jiang; Tianyu Shi (Knowl. Based Syst., 2022)

C2MA-Net: Cross-Modal Cross-Attention Network for Acute Ischemic Stroke Lesion Segmentation Based on CT Perfusion Scans. - Tianyu Shi; Huiyan Jiang; Bin Zheng 001 (IEEE Trans. Biomed. Eng., 2022)

HD-RDS-UNet: Leveraging Spatial-Temporal Correlation Between the Decoder Feature Maps for Lymphoma Segmentation. - Meng Wang 029; Huiyan Jiang; Tianyu Shi; Yu-Dong Yao (IEEE J. Biomed. Health Informatics, 2022)

Deep learning techniques for tumor segmentation: a review. - Huiyan Jiang; Zhaoshuo Diao; Yu-Dong Yao (J. Supercomput., 2022)

ASE-Net: A tumor segmentation method based on image pseudo enhancement and adaptive-scale attention supervision module. - Junzhi Zhang; Huiyan Jiang; Tianyu Shi (Comput. Biol. Medicine, 2023)

C2BA-UNet: A context-coordination multi-atlas boundary-aware UNet-like method for PET/CT images based tumor segmentation. - Shijie Luo; Huiyan Jiang; Meng Wang 029 (Comput. Medical Imaging Graph., 2023)

ECPC-IDS: A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions. - Dechao Tang; Xuanyi Li; Tianming Du; Deguo Ma; Zhiyu Ma; Hongzan Sun; Marcin Grzegorzek; Huiyan Jiang; Chen Li 022 (CoRR, 2023)

MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images. - Yang Zhou; Huiyan Jiang; Zhaoshuo Diao; Guoyu Tong; Qiu Luan; Yaming Li; Xuena Li (Comput. Biol. Medicine, 2023)

CGBO-Net: Cruciform structure guided and boundary-optimized lymphoma segmentation network. - Xiaolin Zhu; Huiyan Jiang; Zhaoshuo Diao (Comput. Biol. Medicine, 2023)

SCL-Net: Structured Collaborative Learning for PET/CT Based Tumor Segmentation. - Meng Wang 029; Huiyan Jiang; Tianyu Shi; Yu-Dong Yao (IEEE J. Biomed. Health Informatics, 2023)

Memory-Net: Coupling feature maps extraction and hierarchical feature maps reuse for efficient and effective PET/CT multi-modality image-based tumor segmentation. - Meng Wang; Huiyan Jiang (Knowl. Based Syst., 2023)

A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation. - Huiyan Jiang; Zhaoshuo Diao; Tianyu Shi; Yang Zhou; Feiyu Wang; Wenrui Hu; Xiaolin Zhu; Shijie Luo; Guoyu Tong; Yu-Dong Yao (Comput. Biol. Medicine, 2023)

MSRA-Net: Tumor segmentation network based on Multi-scale Residual Attention. - Yuxuan Wu; Huiyan Jiang; Wenbo Pang (Comput. Biol. Medicine, 2023)

A spatial squeeze and multimodal feature fusion attention network for multiple tumor segmentation from PET-CT Volumes. - Zhaoshuo Diao; Huiyan Jiang; Tianyu Shi (Eng. Appl. Artif. Intell., 2023)

Metabolic Anomaly Appearance Aware U-Net for Automatic Lymphoma Segmentation in Whole-Body PET/CT Scans. - Tianyu Shi; Huiyan Jiang; Meng Wang 029; Zhaoshuo Diao; Guoxu Zhang; Yu-Dong Yao (IEEE J. Biomed. Health Informatics, 2023)

MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation. - Yuanquan Hao; Huiyan Jiang; Zhaoshuo Diao; Tianyu Shi; Lizhi Liu; Haojiang Li; Weijing Zhang (Comput. Biol. Medicine, 2023)

Leverage prior texture information in deep learning-based liver tumor segmentation: A plug-and-play Texture-Based Auto Pseudo Label module. - Zhaoshuo Diao; Huiyan Jiang; Yang Zhou (Comput. Medical Imaging Graph., 2023)

A hard segmentation network guided by soft segmentation for tumor segmentation on PET/CT images. - Guoyu Tong; Huiyan Jiang (Biomed. Signal Process. Control., 2023)

Siamese semi-disentanglement network for robust PET-CT segmentation. - Zhaoshuo Diao; Huiyan Jiang; Tianyu Shi; Yu-Dong Yao (Expert Syst. Appl., 2023)

A Deep Learning Model for Automatic Segmentation of Intraparenchymal and Intraventricular Hemorrhage for Catheter Puncture Path Planning. - Guoyu Tong; Xi Wang; Huiyan Jiang; Anhua Wu; Wen Cheng; Xiao Cui; Long Bao; Ruikai Cai; Wei Cai (IEEE J. Biomed. Health Informatics, 2023)

A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation. - Guoyu Tong; Huiyan Jiang; Tianyu Shi; Xian-Hua Han; Yu-Dong Yao (IEEE J. Biomed. Health Informatics, 2023)

Hyperspectral Image Reconstruction Using Hierarchical Neural Architecture Search from A Snapshot Image. - Xian-Hua Han; Huiyan Jiang; Yen-Wei Chen 001 (ICASSP, 2024)

Lesion Feature Extraction and Classification Optimization Method Using Dynamic Fusion of Global Attention and Local Attention. - Xueyao Cui; Huiyan Jiang; Yang Zhou; Xianhua Han; Xuena Li; Yan Pei 001 (IJCNN, 2024)

Extraction and Classification of Lung Nodule Features Using Fusion Method of Self-Supervised Encoder Learning and Supervised Transfer Learning. - Siqiao Yi; Huiyan Jiang; Yang Zhou; Guoyu Tong; Rongfei Zeng; Xianhua Han; Yan Pei 001 (SCIS/ISIS, 2024)

Optimization Performance Analysis of Different Initialization Methods in Single-Objective and Multi-Objective Chaotic Evolution. - Xiaoyi Zhang; Yan Pei 001; Huiyan Jiang (SCIS/ISIS, 2024)

Tumor classification algorithm via parallel collaborative optimization of single- and multi-objective consistency on PET/CT. - Yang Zhou; Huiyan Jiang; Qiu Luan; Yaming Li; Xuena Li; Yan Pei 001 (Appl. Soft Comput., 2024)

A classification method embedding atypical patterns for distinguishing tumor subtypes in PET/CT images. - Guoyu Tong; Huiyan Jiang; Qiu Luan; Xuena Li (Biomed. Signal Process. Control., 2024)

A multi-instance tumor subtype classification method for small PET datasets using RA-DL attention module guided deep feature extraction with radiomics features. - Zhaoshuo Diao; Huiyan Jiang (Comput. Biol. Medicine, 2024)

ECPC-IDS: A benchmark endometrial cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions. - Dechao Tang; Chen Li 022; Tianming Du; Huiyan Jiang; Deguo Ma; Zhiyu Ma; Marcin Grzegorzek; Tao Jiang 014; Hongzan Sun (Comput. Biol. Medicine, 2024)

Bio-inspired optimisation algorithms in medical image segmentation: a review. - Tian Zhang; Ping Zhou; Shenghan Zhang; Shi Cheng; Lianbo Ma; Huiyan Jiang; Yu-Dong Yao (Int. J. Bio Inspired Comput., 2024)

Coupled image and kernel prior learning for high-generalized super-resolution. - Xian-Hua Han; Kazuhiro Yamawaki; Huiyan Jiang (Neurocomputing, 2024)

MTR-PET: Multi-temporal resolution PET images for lymphoma segmentation. - Wenbo Pang; Siqi Li 002; Huiyan Jiang; Yu-Dong Yao (Biomed. Signal Process. Control., 2024)

Hierarchical multiscale feature fusion spectral transformer for the generation of medical hyperspectral image. - Quanyu E; Huiyan Jiang; Guoyu Tong; Xianhua Han (Appl. Soft Comput., 2025)

MECF-Net: A prostate cancer lymph node metastasis classification method based on 18F-PSMA-1007 and 18F-FDG dual-tracer PET/CT image feature optimization. - Junchen Hao; Yan Cui; Huiyan Jiang; Guoyu Tong; Xuena Li (Biomed. Signal Process. Control., 2025)

An uncertainty-based Collaborative Weakly Supervised Segmentation Network for Positron emission tomography-Computed tomography images. - Zhaoshuo Diao; Huiyan Jiang (Eng. Appl. Artif. Intell., 2025)

Detection of cervical lesion cell based on the difference of context cells. - Yizhou Chen; Qiuxiang He; Huiyan Jiang; Wenbo Pang (Neurocomputing, 2025)

A 3D-2D Rigid Liver Registration Method Using Pre-Training and Transfer Learning With Staged Alignment of Anatomical Landmarks. - Junchen Hao; Baochun He; Yue Dai; Yuchong Li; Yu Wang; Rui Zhao 001; Ruoqi Lian; Xiaojun Zeng; Haisu Tao; Jian Yang; Chihua Fang; Huiyan Jiang; et al. (Int. J. Imaging Syst. Technol., 2025)