2024年

[1] Sima Haifeng, Chen Bailiang, Tang Chaosheng , Zhang Yu-Dong, Sun Junding. Multi-Scale Feature Attention-DEtection TRansformer: Multi-Scale Feature Attention for security check object detection[J]. IET Computer Vision, 2014: 1-13. (WOS:001142805400001, https://doi.org/10.1049/cvi2.12267, 中科院4区, 影响因子: 1.7, Accession number: 20240315403652, ISSN: 1751-9640, 发表时间: 2024年1月16日)

[2] Sun Junding, Ming Hu, Xiaosheng Wu, Tang Chaosheng , Husam Lahza, Wang Shuihua, Zhang Yu-Dong. MVSI-Net: Multi-View Attention and Multi-Scale Feature Interaction for Brain Tumor Segmentation[J], Biomedical Signal Processing and Control, 2024,95: 106484 ( WOS:001246269000001, https://doi:10.1016/j.bspc.2024.106484, 中科院2区, 影响因子: 5.1, Accession number:20242216159856, ISSN: 1746-8094, 发表时间: 2024年5月25日) ^{[1] [2] [3]}

[3] Xu Zhaozhao, Fangyuan Yang, Tang Chaosheng, Hong Wang, Wang Shuihua, Junding Sun, Zhang Yu-Dong. FG-HFS: A Feature Filter and Group Evolution Hybrid Feature Selection Algorithm for High-Dimensional Gene Expression Data[J], Expert Systems with Applications, 2024,245: 123069 (WOS:001157078000001, https://doi.org/10.1016/j.eswa.2023.123069, 中科院1区, TOP期刊, 影响因子: 8.5, Accession number: 20240415436755, ISSN: 0957-4174, 发表时间: 2024年2月24日) ^{[1:1] [2:1] [3:1]}

[4] Tang Chaosheng, Xi Mengbo, Junding Sun, Wang Shuihua, Zhang Yu-Dong. MACFNet: Detection of Alzheimer’s Disease via Multiscale Attention and Cross-Enhancement Fusion Network[J], Computer Methods and Programs in Biomedicine, 2024, 254: 108259 (WOS:001254325100001, https://doi.org/10.1016/j.cmpb.2024.108259, 中科院2区, TOP期刊, 影响因子: 6.1, Accession number: 20242416249801, ISSN: 0169-2607, 发表时间: 2024年6月12日，出版时间:2024年9月) ^{[1:2] [2:2] [3:2]}

[5] Sun Junding, Wang Biao, Wu Xiaosheng, Tang Chaosheng , Wang Shuihua, Zhang Yu-Dong. MAPFUNet: Multi-attention Perception-Fusion U-Net for Liver Tumor Segmentation[J]. Journal of Bionic Engineering. 2024(WOS:001249435000002, https://doi.org/10.1007/s42235-024-00562-y, 中科院3区, 影响因子: 4.9, ISSN: 1672-6529, 发表时间: 2024年6月18日) ^{[1:3] [2:3] [3:3]}

[6] Tang Chaosheng, Zhou Feifei, Junding Sun, Zhang Yu-Dong. Lung-YOLO: Multiscale feature fusion attention and cross-layer aggregation for lung nodule detection[J], Biomedical Signal Processing and Control. 2024, 99: 106815. (WOS:001314843800001, https://doi.org/10.1016/j.bspc.2024.106815, 中科院2区, 影响因子: 5.1, Accession number: 20243717033280, ISSN: 1746-8094, 发表时间: 2024年9月11日) ^{[1:4] [3:4]}

[7] Tang Chaosheng, Zhi Xinke, Junding Sun, Wang Shuihua, Zhang Yu-Dong. TGPO-WRHNN: Two-stage Grad-CAM-guided PMRS Optimization and weighted-residual hypergraph neural network for pneumonia detection[J]. Knowledge-Based Systems. 2024, 306:112708 (WOS: , https://doi.org/10.1016/j.knosys.2024.112708, 中科院1区, TOP期刊, 影响因子: 7.2, Accession number: , ISSN: 0950-7051 , 发表时间: 2024年11月09日) ^{[1:5] [4]}

[8] Tang Chaosheng, Xu Wenle, Sun Junding, Wang Shuihua，Zhang Yudong, Górriz, Juan Manuel. Multi-graph Networks with Graph Pooling for COVID-19 Diagnosis[J]. Journal of Bionic Engineering, 2024. (WOS: , https://doi.org/10.1007/s42235-024-00600-9, 中科院3区, 影响因子: 4.9, Accession number: , ISSN: 1672-6529 , 发表时间: 2024年11月18日) ^{[1:6] [4:1]}

[9] Sun Junding, Li Yabei, Wu Xiaosheng, Tang Chaosheng , Wang Shuihua, Zhang Yu-Dong. HAD-Net: An attention U-based network with hyper-scale shifted aggregating and max-diagonal sampling for medical image segmentation[J]. Computer Vision and Image Understanding. 2024, 249:10415. (WOS:001316845400001, https://doi.org/10.1016/j.cviu.2024.104151, 中科院3区, 影响因子:4.3, Accession number: 20243817045736, ISSN: 1077-3142, 发表时间: 2024年9月7日) ^{[1:7] [2:4] [3:5]}

[10] Sun Junding, Wang Biao, Wu Xiaosheng, Tang Chaosheng , Wang Shuihua, Zhang Yu-Dong. MAPFUNet: Multi-attention Perception-Fusion U-Net for Liver Tumor Segmentation[J]. Journal of Bionic Engineering. 2024,21:2515–2539 . (WOS: 001249435000002, https://doi.org/10.1007/s42235-024-00562-y, 中科院3区, 影响因子:4.9, Accession number: 20242516285722, ISSN: 1672-6529, 发表时间: 2024年6月18日) ^{[1:8] [2:5] [3:6]}

[11] Xiaosheng Wu, Hang Zhang, Junding Sun, Shuihua Wang, Yudong Zhang. YOLO-MSRF for lung nodule detection[J]. Biomedical Signal Processing and Control, 2024, 94: 106318. (WOS:001228159100001, https://doi.org/10.1016/j.bspc.2024.106318, 中科院2区, 影响因子: 5.1, Accession number: 20241515905401, ISSN: 1746-8094, 发表时间: 2024年4月10日)

[12] Lihong Zhang, Chongxin Xu, Yuzhuo Li, Tong Liu, Junding Sun. MCSE-U-Net: multi-convolution blocks and squeeze and excitation blocks for vessel segmentation[J]. Quantitative Imaging in Medicine and Surgery, 2024,14(3): 2426-2440. (WOS:001222015100011, https://www.sci-hub.ee/10.21037/qims-23-1454, 中科院2区, 影响因子:2.9, ISSN: 1939-1404, 发表时间: 2024年3月4日) ^[1:9]

[13] Chunyang Wang; Peipei Zhou; Yudong Zhang; Junding Sun; Bibo Lu; Zhaozhao Xu. GCFC: Graph Convolutional Fusion CNN Network for Cross-Domain Zero-Shot Extraction of Winter Wheat Map[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17:9069-9089. (WOS:001224319800018, https://doi.org/10.1109/JSTARS.2024.3392448, 中科院2区, 影响因子:4.7, Accession number: 20241816000286, ISSN: 1939-1404, 发表时间: 2024年4月22日)

[14] Haifeng Sima, Manyang Wang, Lanlan Liu, Yudong Zhang, Junding Sun. MSO-DETR: Metric space optimization for few-shot object detection[J]. CAAI Transactions on Intelligence Technology, 2014: (WOS: 001216888100001, https://doi.org/10.1049/cit2.12342, 中科院2区, 影响因子: 8.4, Accession number: 20241916037777, ISSN: 2468-6557, 发表时间: 2024年5月2日)

2023年

[1] Tang Chaosheng, Li Bin, Sun Junding, Wang Shui-Hua, Zhang Yu-Dong. GAM-SpCaNet: gradient awareness minimization-based spinal convolution attention network for brain tumor classification[J], Journal of King Saud University - Computer and Information Sciences. 2023,35(2):560-575. (WOS:001030030500001, https://doi.org/10.1016/j.jksuci.2023.01.002, 中科院2区, 影响因子: 6.9,ISSN: 1319-1578, 发表时间: 2023年1月10日, 出版时间: 2023年2月) ^{[1:10] [2:6] [3:7]}

[2] 孙君顶,王金凯, 唐朝生,毋小省. 基于渐进式嵌套特征的融合网络, 模式识别与人工智能,2023,36(1):70-80.(Accession number: 20230913647612, CSCD/北大核心, http://dx.doi.org/10.16451/j.cnki.issn1003-6059.202111009. ISSN 1003-6059, 出版时间: 2023年1月) ^{[1:11] [2:7] [3:8]}
Sun Junding, Wang Jinkai, Tang Chaosheng, Wu Xiaosheng. Fusion Network Based on Progressive Nested Feature[J], Pattern Recognition and Artificial Intelligence. 2023,36(1):70-80.(Accession number : 20230913647612, CSCD/北大核心, http://dx.doi.org/10.16451/j.cnki.issn1003-6059.202111009. ISSN: 1003-6059, 出版时间: 2023年1月)

[3] Junding Sun, Zhao Jiuqiang, Wu Xiaosheng , Tang Chaosheng, Wang Shuihua, Zhang Yudong. DSGA-Net: Deeply separable gated transformer and attention strategy for medical image segmentation network[J]. Journal of King Saud University - Computer and Information Sciences. 2023,35(5):101553. (WOS:001029982400001, https://doi.org/10.1016/j.jksuci.2023.04.006, 中科院2区, 影响因子: 6.9, ISSN: 1319-1578, 发表时间: 2023年4月11日, 出版时间: 2023年5月) ^{[1:12] [2:8] [3:9]}

[4] Sun Junding, Pi Pengpeng, Wu Xiaosheng , Tang Chaosheng, Wang Shuihua, Zhang Yudong. CTMLP: Can MLPs replace CNNs or transformers for COVID-19 diagnosis? [J]. Computers in Biology and Medicine, 2023, 159: 106847. (WOS:000983634600001, https://doi.org/10.1016/j.compbiomed.2023.106847, 中科院2区，影响因子:6.7, Accession number:20231613901030, ISSN: 0010-4825, 发表时间: 2023年4月13日, 出版时间: 2023年6月) ^{[1:13] [2:9] [3:10]}

[5] Tang Chaosheng, Wei Mingyang, Sun Junding, Wang Shui-Hua, Zhang Yu-Dong.CsAGP: Detecting Alzheimer’s Disease from Multimodal Images via Dual-Transformer with Cross-Attention and Graph Pooling[J]. Journal of King Saud University - Computer and Information Sciences. 2023,35(7): 101618 (WOS: 001090833900001, https://doi.org/10.1016/j.jksuci.2023.101618, 中科院2区, 影响因子: 6.9,ISSN: 1319-1578, 发表时间: 2023年6月14日, 出版时间: 2023年6月25日) ^{[1:14] [2:10] [3:11]}

2022年

[1] Tang Chaosheng, Hu Chaochao, Sun Junding, Wang Shui-Hua, Zhang Yu-Dong. NSCGCN: A novel deep GCN model to diagnosis COVID-19[J]. Computers in Biology and Medicine, 2022, 150: 106151. (WOS:000918334200003, https://doi.org/10.1016/j.compbiomed.2022.106151, 中科院2区，影响因子:6.7, Accession number:20224212973201, ISSN: 0010-4825, 发表时间: 2022年10月13日, 出版时间: 2022年11月) ^{[1:15] [2:11] [3:12]}

[2] Sun Junding, Pi Pengpeng, Tang Chaosheng, Wang Shui-Hua, Zhang Yu-Dong. TSRNet: Diagnosis of COVID-19 based on self-supervised learning and hybrid ensemble model[J]. Computers in Biology and Medicine, 2022: 105531. (WOS:000799841700002, http://dx.doi.org/10.1016/j.compbiomed.2022.105531, 中科院2区，Accession number:20221812054643, 影响因子:6.7, ISSN: 0010-4825, 发表时间: 2022年4月16日) ^{[2:12] [3:13]}

[3] Sun Junding, Hui Zhenkun, Tang Chaosheng, Wu Xiaosheng. Liver segmentation based on complementary features U-Net[J]. Visual Computer, 2022: 1-12(WOS:000836989900002, http://dx.doi.org/10.1007/s00371-022-02617-9, 中科院3区，影响因子2.84, Accession number: 20223212555755, ISSN: 0178-2789, 发表时间: 2022年8月7日) ^[2:13]

2021年

[1] 唐朝生,胡超超,孙君顶,司马海峰.医学图像深度学习技术:从卷积到图卷积的发展[J].中国图象图形学报,2021,26(9):2078-209 (CSCD/北大核心, http://dx.doi.org/10.11834/jig.200666, ISSN: 1006-8961) ^[2:14]
Tang Chaosheng, Hu Chaochao, Sun Junding, Sima Haifeng. Deep learning-based medical images analysis evolved from convolution to graph convolution[J], Journal of image and Graphics, 2021,26(9):2078-209 (CSCD/北大核心,http://dx.doi.org/10.11834/jig.200666, ISSN: 1006-8961, 发表时间: 2021年9月3日)

[2] Sun Junding, Li Xiang, Tang Chaosheng(第1通讯作者), Chen Shixin. BEVGGC: Biogeography-Based Optimization Expert-VGG for Diagnosis COVID-19 via Chest X-ray Images[J]. Computer Modeling in Engineering & Sciences, 2021, 129(2): 729-753. (WOS:000706698100007, http://dx.doi.org/10.32604/cmes.2021.016416, 中科院4区, 影响因子: 2.03, Accession number: 20214211024804, ISSN: 1526-1492, 发表时间: 2021年10月26日) ^[2:15]

[3] Sun Junding, Li Xiang, Tang Chaosheng(第1通讯作者), Wang Shui-Hua, Zhang Yu-Dong. MFBCNNC: Momentum factor biogeography convolutional neural network for COVID-19 detection via chest X-ray images[J]. Knowledge-Based Systems, 2021, 232: 107494.( WOS:000703550700002, http://dx.doi.org/10.1016/j.knosys.2021.107494, 中科院1区，TOP期刊, 影响因子7.84, ISSN: 0950-7051, 发表时间: 2021年11月28日) ^[2:16]

[4] 孙君顶,惠朕堃,唐朝生,毋小省. 基于U-Net的特征交互分割方法[J].模式识别与人工智能,2021,34(11):1058-1068.(Accession number: 20215011303204 , CSCD/北大核心, http://dx.doi.org/10.16451/j.cnki.issn1003-6059.202111009. ISSN: 1003-6059, 发表时间: 2021年11月30日) ^{[2:17] [3:14]}
Sun Junding, Hui Zhenkun, Tang Chaosheng, Wu Xiaosheng. U-Net Based Feature Interaction Segmentation Method[J], Pattern Recognition and Artificial Intelligence. 2021,34(11):1058-1068.(Accession number : 20215011303204, CSCD/北大核心, http://dx.doi.org/10.16451/j.cnki.issn1003-6059.202111009. ISSN 1003-6059, 发表时间: 2021年11月30日)

2020年

[1] Tang Chaosheng, Nayak Deepak Ranjan, Wang, Shuihua. Least-Square Support Vector Machine and Wavelet Selection for Hearing Loss Identification[J]. Computer Modeling in Engineering & Sciences, 2020, 125(1): 299-313.( WOS:000573973000003, http://dx.doi.org/10.32604/cmes.2020.011069, 中科院4区，影响因子:2.03, Accession number: 20203909239864, ISSN: 1526-1492)

[2] Chen Ning, Ma Yingchao, Tang Chaosheng, Chen An, Yao Xiaohui. Risk assessment and comparison of regional natural disasters in China using clustering[J]. Intelligent Decision Technologies, 2020, 14(3): 349-357. (Accession number: 20204309382673, http://dx.doi.org/10.3233/IDT-190086, ISSN: 1872-4981)

[3] Wang Shuihua, Wu Xiaosheng, Zhang Yu-Dong, Tang Chaosheng, Xin Zhang. Diagnosis of COVID-19 by wavelet Renyi entropy and three-segment biogeography-based optimization[J], International Journal of Computational Intelligence Systems. 2020,13(1): 1332-1344. (WOS:000608285000001, https://doi.org/10.2991/ijcis.d.200828.001, 中科院4区，影响因子:2.244, ISSN: 1875-6891)

2019年

[1] Wang Shui-Hua, Xie Shipeng, Chen, Xianqing, Guttery, David S., Tang Chaosheng(第1通讯作者), Sun Junding, Zhang Yu-Dong. Alcoholism Identification Based on an AlexNet Transfer Learning Model[J]. Frontiers in Psychiatry, 2019, 10:205(WOS:000464405100003, http://dx.doi.org/10.3389/fpsyt.2019.00205, ESI高被引论文, 中科院3区, 影响因子: 5.44)

[2] Wang Shuihua, Tang Chaosheng, Sun Junding, Zhang Yudong. Cerebral Micro-Bleeding Detection Based on Densely Connected Neural Network[J]. Frontiers in Neuroscience, 2019, 13: 422. (WOS:000468180500001, http://dx.doi.org/10.3389/fnins.2019.00422, 中科院2区, 影响因子: 5.15)

[3] Zhang Yu-Dong, Govindaraj, Vishnu Varthanan, Tang Chaosheng, Zhu, Weiguo, Sun Junding. High Performance Multiple Sclerosis Classification by Data Augmentation and AlexNet Transfer Learning Model[J]. Journal of Medical Imaging and Health informatics, 2019, 9(9): 2012-2021. (WOS:000483964900035, http://dx.doi.org/10.1166/jmihi.2019.2692, 中科院4区, 影响因子:1.7, ISSN: 2156-7018)

[4] Chen Ning, Ribeiro Bernardete, Chen An, Tang Chaosheng. Optimization of selective ensemble for cost-sensitive classification: An empirical study[J]. Intelligent Decision Technologies, 2019, 12(4): 399-410. (Accession number: 20190306397778, http://dx.doi.org/10.3233/IDT-180344, ISSN: 1872-4981)

[5] Chen Ning, Chen, Lu, Tang Chaosheng, Wu Zhengjiang, Chen An. Disaster risk evaluation using factor analysis: a case study of Chinese regions[J]. Natural Hazards, 2019, 99(1): 321-335. (WOS:000489750300015, http://dx.doi.org/10.1007/s11069-019-03742-w, 中科院3区, 影响因子: 3.16, ISSN: 0921-030X)

[6] Chen Ning, Ribeiro Bernardete, Tang Chaosheng, Chen An. Multi-label learning vector quantization for semi-supervised classification[J]. Intelligent Data Analysis, 2019, 23(4): 839-853. ( WOS:000488816000007, http://dx.doi.org/10.3233/IDA-184195, 中科院4区，影响因子0.894, Accession number: 20194207529485, ISSN: 0950-7051)

2018年

[1] Wang Shui-Hua, Tang Chaosheng, Sun Junding, Yang Jingyuan, Huang Chenxi, Phillips Preetha, Zhang Yu-Dong. Multiple Sclerosis Identification by 14-Layer Convolutional Neural Network With Batch Normalization, Dropout, and Stochastic Pooling[J]. Frontiers in neuroscience, 2018, 12: 818. (WOS:000449565600001, http://dx.doi.org/10.3389/fnins.2018.00818, 中科院2区, 影响因子: 5.15)

[2] Zhang Yu-Dong, Pan Chichun, Sun Junding, Tang Chaosheng(通讯作者). Multiple sclerosis identification by convolutional neural network with dropout and parametric ReLU[J]. Journal of Computational Science, 2018, 28: 1-10. (WOS:000449242900001, http://dx.doi.org/10.1016/j.jocs.2018.07.003, 中科院3区, 影响因子:3.483)

[3] Zhang Yu-Dong, Muhammad, Khan, Tang Chaosheng(通讯作者). Twelve-layer deep convolutional neural network with stochastic pooling for tea category classification on GPU platform[J]. Multimedia Tools and Applications, 2018, 77(17): 22821-22839. (WOS:000441364500056, http://dx.doi.org/10.1007/s11042-018-5765-3, 中科院3区，影响因子:2.517, Accession number: 20180904846927, ISSN: 1380-7501)

[4] Zhang, Xiaohong, Jiang, Yulin, Ren, Jianji, Tang Chaosheng(通讯作者). A label propagation approach based on local optimization[J]. International Journal of Modern Physics C, 2018, 29(06): 1850047.( WOS:000437316200008, http://dx.doi.org/10.1142/S012918311850047X, 中科院4区, 影响因子: 1.35, ISSN: 0129-1831)

会议论文

[1] Tang Chaosheng, Lee Elizabeth. Hearing loss identification via wavelet entropy and combination of Tabu search and particle swarm optimization[C]， 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP).Shanghai, China: Institute of Electrical and Electronics Engineers Inc., 2018: 1-5. (https://doi.org/10.1109/ICDSP.2018.8631839, 检索类型: 会议论文CA, Accession number: 20191106629479)

[2] Tang Chaosheng, Li Bin, Sun Junding. BraDect: A Novel Brain Tumor Image Classification Algorithm[C]. 11th International Conference on Networks, Communication and Computing, ICNCC 2022,Beijing, China: Association for Computing Machinery, 2022: 12-17.(https://doi.org/10.1145/3579895.3579898, 检索类型: 会议论文CA, Accession number: 20231714010957) ^{[2:18] [3:15]}

项目资助

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1. 国家自然科学基金面上项目: 基于多模态特征重构的医学图像深度图卷积神经网络分类算法研究(62276092) ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎

2. 河南省科技攻关项目: 基于深度学习的病理图像检测优化技术研究(212102310084) ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎

3. 河南省高等学校重点科研项目: 基于图神经网络的多模态医学图像分类技术研究(22A520027) ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎

4. 河南省高等学校重点科研项目: 基于多模态特征理解的医学图像深度学习分类算法研究(25A520009) ↩︎ ↩︎