2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
65.Deep Multi-Magnification Similarity Learning for Histopathological Image Classification
Songhui Diao,Weiren Luo,Jiaxin Hou,Ricardo Lambo,Hamas A. AL-kuhali,Hanqing Zhao,Yinli Tian,Yaoqin Xie,Nazar M Zaki,Wenjian Qin. IEEE Journal of Biomedical and Health Informatics,PP(99):1-12,2023,
DOI:10.1109/JBHI.2023.3237137
64.Integrative Histology-Genomic Analysis Predicts Hepatocellular Carcinoma Prognosis Using Deep Learning
Jiaxin Hou,Xiaoqi Jia,Yaoqin Xie,Wenjian Qin. Genes,13(10):1770,2022,
DOI:10.3390/genes13101770
63.Automatic Computer-Aided Histopathologic Segmentation for Nasopharyngeal Carcinoma Using Transformer Framework
Songhui Diao,Luyu Tang,Jiahui He,Hanqing Zhao,Weiren Luo,Yaoqin Xie,Wenjian Qin. In book: Computational Mathematics Modeling in Cancer Analysis (pp.141-149),2022,
DOI:10.1007/978-3-031-17266-3_14
62.Tubular Structure-Aware Convolutional Neural Networks for Organ at Risks Segmentation in Cervical Cancer Radiotherapy
Xinran Wu,Ming Cui,Yuhua Gao,Deyu Sun,He Ma,Erlei Zhang,Yaoqin Xie,Nazar M Zaki,Wenjian Qin. In book: Computational Mathematics Modeling in Cancer Analysis, First International Workshop, CMMCA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings (pp.131-140),2022,
DOI:10.1007/978-3-031-17266-3_13
61.Total‐body low‐dose CT image denoising using a prior knowledge transfer technique with a contrastive regularization mechanism
Minghan Fu,Yanhua Duan,Zhaoping Cheng,Wenjian Qin,Ying Wang,Dong Liang,Zhanli Hu. Medical Physics,2022,
DOI:10.1002/mp.16163
60.MRI-guided Automated Delineation of Gross Tumor Volume for Nasopharyngeal Carcinoma using Deep Learning
Meiyan Yue,Zhenhui Dai,Jiahui He,Yaoqin Xie,Nazar M Zaki,Wenjian Qin. Conference: 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS),2022,
10.1109/CBMS55023.2022.00058
59.Machine Learning for Identifying the Risk Factors of ICU-Acquired Fungal Infections Using a Clinical Cohort Data
Yi-si Zhao,Qingpei Lai,Hong Tang,Ren-jie Luo,Zhi-wei He,Wei Huang,Liu-yang Wang,Zheng-tao Zhang,Shi-hui Lin,Wenjian Qin,Fang Xu. SSRN Electronic Journal,2022,
10.2139/ssrn.4160681
58.A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathological Images
Chulong Zhang,Yuming Jiang,Na Li,Zhicheng Zhang,Md Tauhidul Islam,Jingjing Dai,Lin Liu,Wenfeng He,Wenjian Qin,Jing Xiong,Yaoqin Xie,Xiaokun Liang. SSRN Electronic Journal,2022,
10.2139/ssrn.4211390
57.A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathology Images
Chulong Zhang,Yuming Jiang,Na Li,Zhicheng Zhang,Md Tauhidul Islam,Jingjing Dai,Lin Liu,Wenfeng He,Wenjian Qin,Jing Xiong,Yaoqin Xie,Xiaokun Liang. SSRN Electronic Journal,2022,
10.2139/ssrn.4310968
56.Dose prediction via distance-guided deep learning: initial development for nasopharyngeal carcinoma radiotherapy
Meiyan Yue#, Xiaoguang Xue#, Zhanyu Wang#, Ricardo Lewis Lambo, Wei Zhao, Yaoqin Xie, Jing Cai, Wenjian Qin*. Radiotherapy and Oncology,170:198-204,2022,
Paper
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Project
55.Weakly Supervised Framework for Cancer Region Detection of Hepatocellular Carcinoma in Whole-Slide Pathologic Images Based on Multiscale Attention Convolutional Neural Network
Songhui Diao#, Yinli Tian#, Wanming Hu#, Jiaxin Hou, Ricardo Lambo, Zhicheng Zhang, Yaoqin Xie, Xiu Nie, Fa Zhang, Daniel Racoceanu, Wenjian Qin*. The American journal of pathology,192(3):553-563,2022,
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Project
54.Class Center Attention Network with Spatial Adaption for Enhancing Hepatic Segments Classification with Low-visibility Vascular
Yinli Tian#, Peiwei Sun#, Fei Xue, Ricardo Lambo, Meiyan Yue, Chao An, Songhui Diao, Jianping Lv, Yaoqin Xie, Peng Gong, Hailin Cao, Wenjian Qin*. Displays,72:102151,2022,
Paper
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Project
53.Unsupervised Clustering Analysis of the Ferroptosis Related Genes Reveals Two Prognostic Subtypes of Hepatocellular Carcinoma
Qingpei Lai,Fan Yang,Shaode Yu,Ricardo Lewis Lambo,Jie Li,Hao Yu,Yaoqin Xie,Wenjian Qin. SSRN Electronic Journal,2021,
10.2139/ssrn.3871115
52.Towards real time guide wire shape extraction in fluoroscopic sequences: A two phase deep learning scheme to extract sparse curvilinear structures
Ken Chen, Wenjian Qin, Yaoqin Xie, Shoujun Zhou. Computerized Medical Imaging and Graphics,94:101989,2021,
DOI:https://doi.org/10.1016/j.compmedimag.2021.101989
51.Artificial Intelligence-based Bone-enhanced Magnetic Resonance Image (MRI) - a CT/MRI Composite Image Modality in Nasopharyngeal Carcinoma Radiotherapy
Liming Song, Yafen Li, Guoya Dong, Ricardo LAMBO, Wenjian Qin, Yuenan Wang, Guangwei Zhang, Jing Liu, Yaoqin Xie. Quantitative imaging in medicine and surgery,11(12):4709-4720,2021,
Paper
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Project
50.Artificial intelligence in image-guided radiotherapy: a review of treatment target localization
Wei Zhao, Liyue Shen, Md Tauhidul Islam, Wenjian Qin, Zhicheng Zhang, Xiaokun Liang, Gaolong Zhang, Shouping Xu, Xiaomeng Li. Quantitative imaging in medicine and surgery,11(12):4881–4894,2021,
DOI:10.21037/qims-21-199
49.Assessment of Breast Arteries and Lymph nodes by 3D MR Angiography Enhancement Imaging: Feasibility and Pilot Clinical Results
Yang Liu, Jiaxin Hou, Zhijun Zhu, Bingguang Liu, Manrui Cao*, Wenjian Qin* . BMC Medical Imaging,21(1):97,2021,
DOI:https://doi.org/10.1186/s12880-021-00629-w
47.Wide-Field Pixel Super-Resolution Colour Lensfree Microscope for Digital Pathology
Guang Zeng, Jiahui He, Wenjian Qin*. Frontiers in Oncology,11:751223,2021,
Paper
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Project
46.Fully-automated functional region annotation of liver via a 2.5D class-aware deep neural network with spatial adaptation
Yinli Tian, Fei Xue, Ricardo Lambo, Jiahui He, Chao An, Yaoqin Xie, Hailin Cao*, Wenjian Qin*. Computer Methods and Programs in Biomedicine,200:105818,2021,
DOI:https://doi.org/10.1016/j.cmpb.2020.105818
45.Multi-Material Decomposition for Single Energy CT Using Material Sparsity Constraint
Yi Xue#, Wenjian Qin#, Chen Luo, Pengfei Yang, Yangkang Jiang, Tiffany Tsui, Hongjian He, Li Wang, Jiale Qin, Yaoqin Xie, Tianye Niu. IEEE Transactions on Medical Imaging ,40(5):1303-1318,2021,
DOI:10.1109/TMI.2021.3051416
44.Self-Paced Learning for Automatic Prostate Segmentation on MR Images with Hierarchical Boundary Sensitive Network
Wenjian Qin, Zhibo Xiao, Yaoqin Xie, Yixuan Yuan. 2020 IEEE International Conference on Real-time Computing and Robotics (RCAR),Asahikawa,Japan:321-326,2020,
DOI:10.1109/RCAR49640.2020.9303035
42.Computer-Aided Pathological Diagnosis of Nasopharyngeal Carcinoma Based on Deep Learning
Songhui Diao#, Jiaxin Hou#, Hong Yu#, Xia Zhao, Yikang Sun, Ricardo Lewis Lambo, Yaoqin Xie, Lei Liu, Wenjian Qin*, Weiren Luo*. The American Journal of Pathology,190(8):1691-1700,2020,
Paper
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Code
41.Magnetic resonance image (MRI) synthesis from brain computed tomography (CT) images based on deep learning methods for magnetic resonance (MR)-guided radiotherapy
Wen Li, Yafen Li, Wenjian Qin, Xiaokun Liang, Jianyang Xu, Jing Xiong, Yaoqin Xie. Quantitative imaging in medicine and surgery,10(6):1223-1236,2020,
DOI:10.21037/qims-19-885
40.Automated segmentation of the left ventricle from MR cine imaging based on deep learning architecture
Wenjian Qin, Yin Wu, Siyue Li, Yucheng Chen, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu. Biomedical Physics & Engineering Express,6(2):025009,2020,
DOI:https://doi.org/10.1088/2057-1976/ab7363
39.Automatic left ventricle segmentation from cardiac magnetic resonance images using a capsule network
Yangsu He#, Wenjian Qin#, Yin Wu, Mengxi Zhang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu. Journal of X-Ray Science and Technology,28(3):541-553,2020,
DOI:10.3233/XST-190621
38.Computer Aided Cancer Regions Detection of Hepatocellular Carcinoma in Whole-slide Pathological Images based on Deep Learning
Songhui Diao, Weiren Luo, Jiaxin Hou, Hong Yu, Yunqiang Chen, Jing Xiong, Yaoqin Xie, Wenjian Qin*. 2019 International Conference on Medical Imaging Physics and Engineering (ICMIPE),Shenzhen,China:1-6,2019,
DOI:10.1109/ICMIPE47306.2019.9098213
37.A Comparison of Breast Tumors Classifications Based on Mammography and Digital Breast Tomosynthesis: A Fractal Analysis Study
Guangchao Gui, Rong Huang, Zhaofeng Wu, Yunqiang Chen, Yaoqin Xie, Wenjian Qin*. 2019 International Conference on Medical Imaging Physics and Engineering (ICMIPE),Shenzhen,China,2019,
DOI:10.1109/ICMIPE47306.2019.9098203
36.A Matlab Toolbox for Feature Importance Ranking
Shaode Yu, Zhicheng Zhang, Xiaokun Liang, Junjie Wu, Erlei Zhang, Wenjian Qin, Yaoqin Xie. 2019 International Conference on Medical Imaging Physics and Engineering (ICMIPE),Shenzhen,China,2019,
DOI:10.1109/ICMIPE47306.2019.9098233
35.Densely Connected Neural Network With Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition
Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Guanglei Zhang, Bin Han, Max Q-H Meng, Lei Xing. IEEE Transactions on Automation Science and Engineering,17(2):574-583,2019,
DOI:10.1109/TASE.2019.2936645
34.Shading correction for volumetric CT using deep convolutional neural network and adaptive filter
Xiaokun Liang, Na Li, Zhicheng Zhang, Shaode Yu, Wenjian Qin, Yafen Li, Shupeng Chen, Huailing Zhang, Yaoqin Xie. Quantitative imaging in medicine and surgery,9(7):1242-1254,2019,
DOI:10.21037/qims.2019.05.19
33.Prostate segmentation with encoder-decoder densely connected convolutional network (ed-densenet)
Yixuan Yuan, Wenjian Qin, Xiaoqing Guo, Mark Buyyounouski, Steve Hancock, Bin Han, Lei Xing. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019),Venice, Italy:434-437,2019,
DOI:10.1109/ISBI.2019.8759498
32.Prostate cancer classification with multiparametric MRI transfer learning model
Yixuan Yuan, Wenjian Qin, Mark Buyyounouski, Bulat Ibragimov, Steve Hancock, Bin Han, Lei Xing. Medical physics,46(2):756-765,2019,
DOI:https://doi.org/10.1002/mp.13367
31.Automatic Prostate Segmentation using Deep Learning and MR Images
Y. Yuan,Wenjian Qin,M.K. Buyyounouski,S.L. Hancock,H.P. Bagshaw,Bin Han,L. Xing. International Journal of Radiation Oncology, Biology, Physics,102(3):e379,2018,
DOI:10.1016/j.ijrobp.2018.07.1129
30.Full-Scale Reconstruction for Transmission Line Galloping Curves Based on Attitudes Sensors
Decheng Wu,Shizhong Yang,Lu Tao,Hailin Cao,Xiaoheng Tan,Li Jing,Wenjian Qin. Mathematical Problems in Engineering,2018(11):1-11,2018,
DOI:10.1155/2018/1095842
29.Robust Beam Hardening Artifacts Reduction for Computed Tomography Using Spectrum Modeling
Wei Zhao, Dengwang Li, Kai Niu, Wenjian Qin, Hao Peng, Tianye Niu. IEEE Transactions on Computational Imaging,5(2):333-342,2018,
DOI:10.1109/TCI.2018.2884479
28.RIIS-DenseNet: Rotation-invariant and image similarity constrained densely connected convolutional network for polyp detection
Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Bin Han, Lei Xing. International Conference on Medical Image Computing and Computer-Assisted Intervention,11071:620-628,2018,
DOI:https://doi.org/10.1007/978-3-030-00934-2_69
27.An approach for noninvasive blood glucose monitoring based on bioimpedance difference considering blood volume pulsation
Jingzhen Li, Tobore Igbe, Yuhang Liu, Zedong Nie, Wenjian Qin, Lei Wang, Yang Hao. IEEE Access,6:51119-51129,2018,
DOI:10.1109/ACCESS.2018.2866601
26.Comparison of transferred deep neural networks in ultrasonic breast masses discrimination
Ting Xiao, Lei Liu, Kai Li, Wenjian Qin, Shaode Yu, Zhicheng Li. BioMed research international,2018:4605191,2018,
DOI:https://doi.org/10.1155/2018/4605191
25.Investigation on the neural mechanism of hypnosis-based respiratory control using functional MRI
Yanjun Liu#, Wenjian Qin#, Rongmao Li, Shaode Yu, Yini He, Yaoqin Xie. Contrast media & molecular imaging,2018:8182542,2018,
DOI:https://doi.org/10.1155/2018/8182542
24.Semi-Supervised Representation Learning for Infants Biliary Atresia Screening Using Deep CNN-Based Variational Autoencoder
Zhiyong Wan, Wenjian Qin, Kuiliang Song, Bin Wang, Dahao Zhang, Ling Li. International Conference on Mechatronics and Intelligent Robotics,856:1207-1212,2018,
DOI:https://doi.org/10.1007/978-3-030-00214-5_148
23.Superpixel-based and boundary-sensitive convolutional neural network for automated liver segmentation
Wenjian Qin, Jia Wu, Fei Han, Yixuan Yuan, Wei Zhao, Bulat Ibragimov, Jia Gu, Lei Xing. Physics in Medicine & Biology,63(9):095017,2018,
DOI:https://doi.org/10.1088/1361-6560/aabd19
22.Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images
Lei Liu#, Kai Li#, Wenjian Qin#, Tiexiang Wen, Ling Li, Jia Wu, Jia Gu. Medical & biological engineering & computing,56(2):183-199,2018,
DOI:https://doi.org/10.1007/s11517-017-1770-3
21.Liver lesion detection based on two-stage saliency model with modified sparse autoencoder
Yixuan Yuan, Max Q-H Meng, Wenjian Qin, Lei Xing. International Conference on Medical Image Computing and Computer-Assisted Intervention,10435:577-585,2017,
DOI:https://doi.org/10.1007/978-3-319-66179-7_66
20.GPU-based volume reconstruction for freehand 3D ultrasound imaging
Tiexiang Wen, Rong Liu, Lei Liu, Wenjian Qin, Ling Li, Jia Gu. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),eju,Korea(South):3700-3703,2017,
DOI:10.1109/EMBC.2017.8037661
18.GPU-accelerated Kernel regression reconstruction for freehand 3D ultrasound imaging
Tiexiang Wen, Ling Li, Qingsong Zhu, Wenjian Qin, Jia Gu, Feng Yang, Yaoqin Xie. Ultrasonic imaging,39(4):240-259,2017,
DOI:https://doi.org/10.1177/0161734616689464
17.An approach to biometric verification based on human body communication in wearable devices
Jingzhen Li, Yuhang Liu, Zedong Nie, Wenjian Qin, Zengyao Pang, Lei Wang. Sensors,17(1):125,2017,
DOI:https://doi.org/10.3390/s17010125
16.Nonlocal Total-Variation–Based Speckle Filtering for Ultrasound Images
Tiexiang Wen, Jia Gu, Ling Li, Wenjian Qin, Lei Wang, Yaoqin Xie. Ultrasonic imaging,38(4):254-275,2016,
DOI:https://doi.org/10.1177/0161734615600676
15.Segmenting multiple overlapping nuclei in h&e stained breast cancer histopathology images based on an improved watershed
Pengfei Shen, Wenjian Qin, Jie Yang, Wanming Hu, Shifu Chen, Ling Li, TieXiang Wen, Jia Gu. 2015 IET International Conference on Biomedical Image and Signal Processing (ICBISP 2015),Beijing,China:1-4,2015,
DOI:10.1049/cp.2015.0779
14.Segmentation of breast ultrasound image using graph cuts and level set
Lei Liu, Wenjian Qin, Rumin Yang, Chengbo Yu, Ling Li, Tiexiang Wen, Jia Gu. 2015 IET International Conference on Biomedical Image and Signal Processing (ICBISP 2015),Beijing,China,2015,
DOI:10.1049/cp.2015.0773
13.State-of-the-art in medical image segmentation
Guiping Jiang, Wenjian Qin*, Shoujun Zhou, Changmiao Wang. Chinese Journal of Computers,38(6):1222-1242,2015,
12.Reconstruction of freehand 3D ultrasound based on kernel regression
Xiankang Chen, Tiexiang Wen, Xingmin Li, Wenjian Qin, Donglai Lan, Weizhou Pan, Jia Gu. Biomedical engineering online,13(1):124,2014,
DOI:https://doi.org/10.1186/1475-925X-13-124
11.Multiscale Geometric Active Contour Model and Boundary Extraction in Kidney MR Images
Ling Li, Jia Gu, Tiexiang Wen, Wenjian Qin, Hua Xiao, Jiaping Yu. International Conference on Health Information Science,8423:212-219,2014,
DOI:https://doi.org/10.1007/978-3-319-06269-3_23
10.Segmentation of abdomen MR images using kernel graph cuts with shape priors
Qing Luo#, Wenjian Qin#, Tiexiang Wen, Jia Gu, Nikolas Gaio, Shifu Chen, Ling Li, Yaoqin Xie. Biomedical engineering online,12(1):124,2013,
DOI:https://doi.org/10.1186/1475-925X-12-124
9.An accurate and effective FMM-based approach for freehand 3D ultrasound reconstruction
Tiexiang Wen, Qingsong Zhu, Wenjian Qin, Ling Li, Fan Yang, Yaoqin Xie, Jia Gu. Biomedical Signal Processing and Control,8(6):645-656,2013,
DOI:https://doi.org/10.1016/j.bspc.2013.05.009
8.Progress of the segmentation methods of magnetic resonance image and its application
Qing Luo, Wenjian Qin, Jia Gu, Ying Ji. International Journal of Biomedical Engineering,6:165-171,2013,
6.A shape-optimized framework for kidney segmentation in ultrasound images using NLTV denoising and DRLSE
Fan Yang#, Wenjian Qin#, Yaoqin Xie, Tiexiang Wen, Jia Gu. Biomedical engineering online,11:82,2012,
DOI:https://doi.org/10.1186/1475-925X-11-82
5.1D Infrared Camera Distortion Based on Polynomial Model
Wenjian Qin, Zhicheng Li, Jia Gu, Ke Chen, Xiaoping Zhang. 2012 International Conference on Computer Application and System Modeling,698-701,2012,
DOI:https://doi.org/10.2991/iccasm.2012.177
4.A pilot study on simulation of Ultrasound from MRI using ray-based model
Wenjian Qin, Tiexiang Wen, Zhen Zheng, Zhicheng Li, Weisong Li, Xiang Fang, Ying Ji, Jia Gu. Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics,Hongkong,China:632-635,2012,
DOI:10.1109/BHI.2012.6211662
3.A new approach to detecting ulcer and bleeding in Wireless capsule endoscopy images
Xiaoying Liu, Jia Gu, Yaoqin Xie, Jun Xiong, Wenjian Qin. Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics,Hongkong,China:737-740,2012,
DOI:10.1109/BHI.2012.6211688
2.Freehand 3D ultrasound reconstruction for image-guided surgery
Tao Qiu, Tiexiang Wen, Wenjian Qin, Jia Gu, Lei Wang. International Symposium on Bioelectronics and Bioinformations 2011,Suzhou,China:147-150,2011,
DOI:10.1109/ISBB.2011.6107667
1.Multiple-modality Calibration of Video and Magnetic Tracker Data for 3D Appearance and Structure Modeling in Minimally Invasive Surgery
Wenjian Qin, Jia Gu. Journal of Image and Graphics,15(7),2010,