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2020 – today
- 2024
[j59]Yang Zhou, Huiyan Jiang, Qiu Luan, Yaming Li, Xuena Li, Yan Pei
:
Tumor classification algorithm via parallel collaborative optimization of single- and multi-objective consistency on PET/CT. Appl. Soft Comput. 166: 112245 (2024)- [j58]Wenbo Pang, Siqi Li, Huiyan Jiang, Yu-Dong Yao:
MTR-PET: Multi-temporal resolution PET images for lymphoma segmentation. Biomed. Signal Process. Control. 87(Part A): 105529 (2024) - [j57]Guoyu Tong, Huiyan Jiang, Qiu Luan, Xuena Li:
A classification method embedding atypical patterns for distinguishing tumor subtypes in PET/CT images. Biomed. Signal Process. Control. 96: 106663 (2024) - [j56]Dechao Tang, Chen Li, Tianming Du, Huiyan Jiang, Deguo Ma, Zhiyu Ma, Marcin Grzegorzek, Tao Jiang, Hongzan Sun:
ECPC-IDS: A benchmark endometrial cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions. Comput. Biol. Medicine 171: 108217 (2024) - [j55]Zhaoshuo Diao, Huiyan Jiang:
A multi-instance tumor subtype classification method for small PET datasets using RA-DL attention module guided deep feature extraction with radiomics features. Comput. Biol. Medicine 174: 108461 (2024) - [j54]Tian Zhang, Ping Zhou, Shenghan Zhang, Shi Cheng, Lianbo Ma, Huiyan Jiang, Yu-Dong Yao:
Bio-inspired optimisation algorithms in medical image segmentation: a review. Int. J. Bio Inspired Comput. 24(2): 65-79 (2024) - [j53]Xian-Hua Han, Kazuhiro Yamawaki, Huiyan Jiang:
Coupled image and kernel prior learning for high-generalized super-resolution. Neurocomputing 583: 127500 (2024) - [c21]Xian-Hua Han, Huiyan Jiang, Yen-Wei Chen:
Hyperspectral Image Reconstruction Using Hierarchical Neural Architecture Search from A Snapshot Image. ICASSP 2024: 2500-2504 - [c20]Xueyao Cui, Huiyan Jiang, Yang Zhou, Xianhua Han, Xuena Li, Yan Pei:
Lesion Feature Extraction and Classification Optimization Method Using Dynamic Fusion of Global Attention and Local Attention. IJCNN 2024: 1-7 - 2023
- [j52]Guoyu Tong, Huiyan Jiang:
A hard segmentation network guided by soft segmentation for tumor segmentation on PET/CT images. Biomed. Signal Process. Control. 85: 104918 (2023) - [j51]Junzhi Zhang, Huiyan Jiang, Tianyu Shi:
ASE-Net: A tumor segmentation method based on image pseudo enhancement and adaptive-scale attention supervision module. Comput. Biol. Medicine 152: 106363 (2023) - [j50]Xiaolin Zhu, Huiyan Jiang, Zhaoshuo Diao:
CGBO-Net: Cruciform structure guided and boundary-optimized lymphoma segmentation network. Comput. Biol. Medicine 153: 106534 (2023) - [j49]Yang Zhou, Huiyan Jiang, Zhaoshuo Diao, Guoyu Tong, Qiu Luan, Yaming Li, Xuena Li:
MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images. Comput. Biol. Medicine 153: 106538 (2023) - [j48]Huiyan Jiang, Zhaoshuo Diao, Tianyu Shi, Yang Zhou, Feiyu Wang, Wenrui Hu, Xiaolin Zhu, Shijie Luo, Guoyu Tong, Yu-Dong Yao:
A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation. Comput. Biol. Medicine 157: 106726 (2023) - [j47]Yuxuan Wu, Huiyan Jiang, Wenbo Pang:
MSRA-Net: Tumor segmentation network based on Multi-scale Residual Attention. Comput. Biol. Medicine 158: 106818 (2023) - [j46]Yuanquan Hao, Huiyan Jiang, Zhaoshuo Diao, Tianyu Shi, Lizhi Liu, Haojiang Li, Weijing Zhang:
MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation. Comput. Biol. Medicine 159: 106956 (2023) - [j45]Shijie Luo, Huiyan Jiang, Meng Wang:
C2BA-UNet: A context-coordination multi-atlas boundary-aware UNet-like method for PET/CT images based tumor segmentation. Comput. Medical Imaging Graph. 103: 102159 (2023) - [j44]Zhaoshuo Diao, Huiyan Jiang, Yang Zhou:
Leverage prior texture information in deep learning-based liver tumor segmentation: A plug-and-play Texture-Based Auto Pseudo Label module. Comput. Medical Imaging Graph. 106: 102217 (2023) - [j43]Zhaoshuo Diao, Huiyan Jiang, Tianyu Shi:
A spatial squeeze and multimodal feature fusion attention network for multiple tumor segmentation from PET-CT Volumes. Eng. Appl. Artif. Intell. 121: 105955 (2023) - [j42]Zhaoshuo Diao, Huiyan Jiang, Tianyu Shi, Yu-Dong Yao:
Siamese semi-disentanglement network for robust PET-CT segmentation. Expert Syst. Appl. 223: 119855 (2023) - [j41]Meng Wang, Huiyan Jiang:
Memory-Net: Coupling feature maps extraction and hierarchical feature maps reuse for efficient and effective PET/CT multi-modality image-based tumor segmentation. Knowl. Based Syst. 265: 110399 (2023) - [j40]Meng Wang, Huiyan Jiang, Tianyu Shi, Yu-Dong Yao:
SCL-Net: Structured Collaborative Learning for PET/CT Based Tumor Segmentation. IEEE J. Biomed. Health Informatics 27(2): 1048-1059 (2023) - [j39]Tianyu Shi, Huiyan Jiang, Meng Wang, Zhaoshuo Diao, Guoxu Zhang, Yu-Dong Yao:
Metabolic Anomaly Appearance Aware U-Net for Automatic Lymphoma Segmentation in Whole-Body PET/CT Scans. IEEE J. Biomed. Health Informatics 27(5): 2465-2476 (2023) - [j38]Guoyu Tong, Xi Wang, Huiyan Jiang, Anhua Wu, Wen Cheng, Xiao Cui, Long Bao, Ruikai Cai, Wei Cai:
A Deep Learning Model for Automatic Segmentation of Intraparenchymal and Intraventricular Hemorrhage for Catheter Puncture Path Planning. IEEE J. Biomed. Health Informatics 27(9): 4454-4465 (2023) - [j37]Guoyu Tong, Huiyan Jiang, Tianyu Shi, Xian-Hua Han, Yu-Dong Yao:
A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation. IEEE J. Biomed. Health Informatics 27(10): 4878-4889 (2023) - [i1]Dechao Tang, Xuanyi Li, Tianming Du, Deguo Ma, Zhiyu Ma, Hongzan Sun, Marcin Grzegorzek, Huiyan Jiang, Chen Li:
ECPC-IDS: A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions. CoRR abs/2308.08313 (2023) - 2022
- [j36]Huiyan Jiang, Siqi Li, Haoming Li:
Parallel 'same' and 'valid' convolutional block and input-collaboration strategy for histopathological image classification. Appl. Soft Comput. 117: 108417 (2022) - [j35]Min Luo, Huiyan Jiang, Tianyu Shi:
Multi-stage puncture path planning algorithm of ablation needles for percutaneous radiofrequency ablation of liver tumors. Comput. Biol. Medicine 145: 105506 (2022) - [j34]Jiaji Liu, Huiyan Jiang, Fuzhen Ning, Min Li, Wenbo Pang:
DFSNE-Net: Deviant feature sensitive noise estimate network for low-dose CT denoising. Comput. Biol. Medicine 149: 106061 (2022) - [j33]Meng Wang, Huiyan Jiang, Tianyu Shi, Zhiguo Wang, Jia Guo, Guoxiu Lu, Youchao Wang, Yu-Dong Yao:
PSR-Nets: Deep neural networks with prior shift regularization for PET/CT based automatic, accurate, and calibrated whole-body lymphoma segmentation. Comput. Biol. Medicine 151(Part): 106215 (2022) - [j32]Zhaoshuo Diao, Huiyan Jiang, Tianyu Shi:
A unified uncertainty network for tumor segmentation using uncertainty cross entropy loss and prototype similarity. Knowl. Based Syst. 246: 108739 (2022) - [j31]Tianyu Shi, Huiyan Jiang, Bin Zheng:
C2MA-Net: Cross-Modal Cross-Attention Network for Acute Ischemic Stroke Lesion Segmentation Based on CT Perfusion Scans. IEEE Trans. Biomed. Eng. 69(1): 108-118 (2022) - [j30]Meng Wang, Huiyan Jiang, Tianyu Shi, Yu-Dong Yao:
HD-RDS-UNet: Leveraging Spatial-Temporal Correlation Between the Decoder Feature Maps for Lymphoma Segmentation. IEEE J. Biomed. Health Informatics 26(3): 1116-1127 (2022) - [j29]Huiyan Jiang, Zhaoshuo Diao, Yu-Dong Yao:
Deep learning techniques for tumor segmentation: a review. J. Supercomput. 78(2): 1807-1851 (2022) - [c19]Wenbo Pang, Huiyan Jiang, Yonglong Zhang, Yizhou Chen, Zhiguo Wang, Jia Guo, Guoxiu Lu, Youchao Wang:
Classification of lymphoma subtypes in PET/CT images based on a bidirectional feature fusion method. ICBBE 2022: 49-54 - [c18]Guangrui Liang, Zhaoshuo Diao, Huiyan Jiang:
Uncertainty Analysis Based Attention Network for Lung Nodule Segmentation from CT Images. ICVARS 2022: 50-55 - 2021
- [j28]Zexu Zhang, Huiyan Jiang, Jiaji Liu, Tianyu Shi:
Improving the fidelity of CT image colorization based on pseudo-intensity model and tumor metabolism enhancement. Comput. Biol. Medicine 138: 104885 (2021) - [j27]Siqi Li, Huiyan Jiang, Haoming Li, Yu-Dong Yao:
AW-SDRLSE: Adaptive Weighting and Scalable Distance Regularized Level Set Evolution for Lymphoma Segmentation on PET Images. IEEE J. Biomed. Health Informatics 25(4): 1173-1184 (2021) - [c17]Wenhao Fang, Xian-Hua Han, Xu Qiao, Huiyan Jiang, Yen-Wei Chen:
Multi-Scale Context Interaction Learning network for Medical Image Segmentation. MIPR 2021: 192-198 - 2020
- [j26]Hongjian Kang, Huiyan Jiang, Xiangrong Zhou, Hengjian Yu, Takeshi Hara, Hiroshi Fujita, Yu-Dong Yao:
An Optimized Registration Method Based on Distribution Similarity and DVF Smoothness for 3D PET and CT Images. IEEE Access 8: 1135-1145 (2020) - [j25]Haoming Li, Huiyan Jiang, Siqi Li, Meng Wang, Zhiguo Wang, Guoxiu Lu, Jia Guo, Youchao Wang:
DenseX-Net: An End-to-End Model for Lymphoma Segmentation in Whole-Body PET/CT Images. IEEE Access 8: 8004-8018 (2020) - [j24]Hengjian Yu, Huiyan Jiang, Xiangrong Zhou, Takeshi Hara, Yu-Dong Yao, Hiroshi Fujita:
Unsupervised 3D PET-CT Image Registration Method Using a Metabolic Constraint Function and a Multi-Domain Similarity Measure. IEEE Access 8: 63077-63089 (2020) - [j23]Liangliang Huang, Huiyan Jiang, Shaojie Li, Zhiqi Bai, Jitong Zhang:
Two stage residual CNN for texture denoising and structure enhancement on low dose CT image. Comput. Methods Programs Biomed. 184: 105115 (2020) - [j22]Tianyu Shi, Huiyan Jiang, Bin Zheng:
A Stacked Generalization U-shape network based on zoom strategy and its application in biomedical image segmentation. Comput. Methods Programs Biomed. 197: 105678 (2020)
2010 – 2019
- 2019
- [j21]Huiyan Jiang, Tianyu Shi, Zhiqi Bai, Liangliang Huang:
AHCNet: An Application of Attention Mechanism and Hybrid Connection for Liver Tumor Segmentation in CT Volumes. IEEE Access 7: 24898-24909 (2019) - [j20]Zhiqi Bai, Huiyan Jiang, Siqi Li, Yu-Dong Yao:
Liver Tumor Segmentation Based on Multi-Scale Candidate Generation and Fractal Residual Network. IEEE Access 7: 82122-82133 (2019) - [j19]Jitong Zhang, Huiyan Jiang, Liangliang Huang, Yu-Dong Yao, Siqi Li:
Visibility Attribute Extraction and Anomaly Detection for Chinese Diagnostic Report Based on Cascade Networks. IEEE Access 7: 116402-116412 (2019) - [j18]Siqi Li, Huiyan Jiang, Jie Bai, Ye Liu, Yu-Dong Yao:
Stacked sparse autoencoder and case-based postprocessing method for nucleus detection. Neurocomputing 359: 494-508 (2019) - [c16]Hengjian Yu, Xiangrong Zhou, Huiyan Jiang, Hongjian Kang, Zhiguo Wang, Takeshi Hara, Hiroshi Fujita:
Learning 3D non-rigid deformation based on an unsupervised deep learning for PET/CT image registration. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531X - 2018
- [j17]Siqi Li, Huiyan Jiang, Zhiguo Wang, Guoxu Zhang, Yu-Dong Yao:
An effective computer aided diagnosis model for pancreas cancer on PET/CT images. Comput. Methods Programs Biomed. 165: 205-214 (2018) - [j16]Siqi Li, Huiyan Jiang, Yu-Dong Yao, Wenbo Pang, Qingjiao Sun, Li Kuang:
Structure convolutional extreme learning machine and case-based shape template for HCC nucleus segmentation. Neurocomputing 312: 9-26 (2018) - [j15]Siqi Li, Huiyan Jiang, Yu-Dong Yao, Benqiang Yang:
Organ Location Determination and Contour Sparse Representation for Multiorgan Segmentation. IEEE J. Biomed. Health Informatics 22(3): 852-861 (2018) - [c15]Yangzi Yang, Huiyan Jiang, Yen-Wei Chen:
Abdominal Organs Segmentation Based on Multi-path Fully Convolutional Network and Random Forests. IIMSS 2018: 208-215 - [c14]Titinunt Kitrungrotsakul, Yutaro Iwamoto, Xian-Hua Han, Wei Xiong, Lanfen Lin, Hongjie Hu, Huiyan Jiang, Yen-Wei Chen:
Interactive Liver Segmentation in CT Volumes Using Fully Convolutional Networks. IIMSS 2018: 216-222 - [c13]Huiyan Jiang, Zhongkuan Li, Siqi Li, Fucai Zhou:
An Effective Multi-classification Method for NHL Pathological Images. SMC 2018: 763-768 - 2017
- [j14]Siqi Li, Huiyan Jiang, Wenbo Pang:
Joint multiple fully connected convolutional neural network with extreme learning machine for hepatocellular carcinoma nuclei grading. Comput. Biol. Medicine 84: 156-167 (2017) - [j13]Zhiying Song, Huiyan Jiang, Siqi Li:
A Novel Fusion Framework Based on Adaptive PCNN in NSCT Domain for Whole-Body PET and CT Images. Comput. Math. Methods Medicine 2017: 8407019:1-8407019:9 (2017) - [j12]Yu Miao, Huiyan Jiang, Huiling Liu, Yu-Dong Yao:
An Alzheimers disease related genes identification method based on multiple classifier integration. Comput. Methods Programs Biomed. 150: 107-115 (2017) - [c12]Huiyan Jiang, Wanpeng Dong, Lianbo Ma, Rui Wang:
Bacterial Foraging Algorithm Based on Reinforcement Learning for Continuous Optimizations. ISICA (1) 2017: 41-52 - 2016
- [j11]Bingbing Xia, Huiyan Jiang, Huiling Liu, Dehui Yi:
A Novel Hepatocellular Carcinoma Image Classification Method Based on Voting Ranking Random Forests. Comput. Math. Methods Medicine 2016: 2628463:1-2628463:8 (2016) - [j10]Huiling Liu, Huiyan Jiang, Ruiping Zheng:
The Hybrid Feature Selection Algorithm Based on Maximum Minimum Backward Selection Search Strategy for Liver Tissue Pathological Image Classification. Comput. Math. Methods Medicine 2016: 7369137:1-7369137:9 (2016) - [j9]Huiling Liu, Huiyan Jiang, Bingbing Xia, Dehui Yi:
The Research of Feature Extraction Method of Liver Pathological Image Based on Multispatial Mapping and Statistical Properties. Comput. Math. Methods Medicine 2016: 8420350:1-8420350:8 (2016) - 2015
- [j8]Chunhua Dong, Yen-Wei Chen, Amir Hossein Foruzan, Lanfen Lin, Xian-Hua Han, Tomoko Tateyama, Xing Wu, Gang Xu, Huiyan Jiang:
Segmentation of liver and spleen based on computational anatomy models. Comput. Biol. Medicine 67: 146-160 (2015) - 2013
- [j7]Huiyan Jiang, Ruiping Zheng, Dehui Yi, Di Zhao:
A Novel Multiinstance Learning Approach for Liver Cancer Recognition on Abdominal CT Images Based on CPSO-SVM and IO. Comput. Math. Methods Medicine 2013: 434969:1-434969:10 (2013) - [j6]Huiyan Jiang, HanQing Tan, Hiroshi Fujita:
A Hybrid Method for Pancreas Extraction from CT Image Based on Level Set Methods. Comput. Math. Methods Medicine 2013: 479516:1-479516:13 (2013) - [j5]Huiyan Jiang, Di Zhao, Tianjiao Feng, Shiyang Liao, Yen-Wei Chen:
Construction of Classifier Based on MPCA and QSA and Its Application on Classification of Pancreatic Diseases. Comput. Math. Methods Medicine 2013: 713174:1-713174:7 (2013) - [j4]Huiyan Jiang, Baochun He, Di Fang Fang Fang, Zhiyuan Ma, Benqiang Yang, Libo Zhang:
A Region Growing Vessel Segmentation Algorithm Based on Spectrum Information. Comput. Math. Methods Medicine 2013: 743870:1-743870:9 (2013) - [j3]Huiyan Jiang, Baochun He, Zhiyuan Ma, Zong Mao, Xiangrong Zhou, Hiroshi Fujita:
Liver Segmentation Based on Snakes Model and Improved GrowCut Algorithm in Abdominal CT Image. Comput. Math. Methods Medicine 2013: 958398:1-958398:12 (2013) - 2012
- [j2]Yen-Wei Chen, Ikuko Nishikawa, Shinichi Tamura, Bao-Liang Lu, Huiyan Jiang:
Computational Intelligence in Biomedical Science and Engineering. Comput. Intell. Neurosci. 2012: 160356:1-160356:2 (2012) - [j1]Huiyan Jiang, Zhiyuan Ma, Yang Hu, Benqiang Yang, Libo Zhang:
Medical Image Compression Based on Vector Quantization with Variable Block Sizes in Wavelet Domain. Comput. Intell. Neurosci. 2012: 541890:1-541890:8 (2012) - [c11]Peng Cao, Huiyan Jiang, Bo Liu, Weiwei Shan:
Memory Bandwidth Optimization Strategy of Coarse-Grained Reconfigurable Architecture. CyberC 2012: 228-231 - [c10]Hiroshi Fujita, Fumio Nogata, Huiyan Jiang, Shoji Kido, T. Feng, Takeshi Hara, Tatsuro Hayashi, Yasushi Hirano, Akitoshi Katsumata, Y. Kawamura, T. Kokubo, J. Liu, Chisako Muramatsu, Hayaru Shouno, Rie Tachibana, X. Wang, F. Xiang, Rui Xu, B. Yang, Yasunari Yokota, L. Zhang, Q. Li, Z. Guo:
Medical image processing and computer-aided detection/diagnosis (CAD). ICCH 2012: 66-71 - [c9]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:
Efficient shape representation and statistical shape modeling of the liver using spherical harmonic functions (SPHARM). SCIS&ISIS 2012: 428-431 - 2011
- [c8]Chengjun Jin, Guiran Chang, Wei Cheng, Huiyan Jiang:
Improved Particle Swarm Optimization for Fuzzy Neural Network Traning. ICGEC 2011: 299-302 - [c7]Huiyan Jiang, Xiangying Liu, Lingbo Zhou, Hiroshi Fujita, Xiangrong Zhou:
Morlet-RBF SVM Model for Medical Images Classification. ISNN (2) 2011: 121-129 - 2010
- [c6]Huiyan Jiang, Fengzhen Tang, Xiyue Zhang:
Liver cancer identification based on PSO-SVM model. ICARCV 2010: 2519-2523
2000 – 2009
- 2009
- [c5]Ke Zhai, Zhiliang Zhu, Ying Cao, Beilei Wang, Hongjuan Liu, Huiyan Jiang:
Alternative Iterations Based Registration for Contrast-Enhanced Multiphase Liver CT Images. BMEI 2009: 1-5 - [c4]Huiyan Jiang, Qingshui Cheng:
Automatic 3D segmentation of CT images based on active contour models. CAD/Graphics 2009: 540-543 - [c3]Huiyan Jiang, Yudong Zhao:
The Study of Interpolation Algorithm Based on Cubic Spline in Marching Cubes Method. FSKD (5) 2009: 80-83 - 2008
- [c2]Hongjuan Liu, Zhiliang Zhu, Huiyan Jiang, Beilei Wang:
A Novel Image Encryption Algorithm Based on Improved 3D Chaotic Cat Map. ICYCS 2008: 3016-3021 - [c1]Huiyan Jiang, Yudong Zhao, Ning Li:
The Study of 3D Reconstruction Method Based on Dynamic Threshold Method and Improved Ray Casting Algorithm. IIH-MSP 2008: 402-405
Coauthor Index
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