53. Meiyan Yue#, Xiaoguang Xue#, Zhanyu Wang#, Ricardo Lewis Lambo, Wei Zhao, Yaoqin Xie, Jing Cai, Wenjian Qin*. Dose prediction via distance-guided deep learning: initial development for nasopharyngeal carcinoma radiotherapy,Radiotherapy and Oncology,170:198-204,2022.
52. Songhui Diao#, Yinli Tian#, Wanming Hu#, Jiaxin Hou, Ricardo Lambo, Zhicheng Zhang, Yaoqin Xie, Xiu Nie, Fa Zhang, Daniel Racoceanu, Wenjian Qin*. Weakly Supervised Framework for Cancer Region Detection of Hepatocellular Carcinoma in Whole-Slide Pathologic Images Based on Multiscale Attention Convolutional Neural Network,The American journal of pathology,192(3):553-563,2022.
51. Yinli Tian#, Peiwei Sun#, Fei Xue, Ricardo Lambo, Meiyan Yue, Chao An, Songhui Diao, Jianping Lv, Yaoqin Xie, Peng Gong, Hailin Cao, Wenjian Qin*. Class Center Attention Network with Spatial Adaption for Enhancing Hepatic Segments Classification with Low-visibility Vascular,Displays,72:102151,2022.
50. Ken Chen, Wenjian Qin, Yaoqin Xie, Shoujun Zhou. Towards real time guide wire shape extraction in fluoroscopic sequences: A two phase deep learning scheme to extract sparse curvilinear structures,Computerized Medical Imaging and Graphics,94:101989,2021.
49. Liming Song, Yafen Li, Guoya Dong, Ricardo LAMBO, Wenjian Qin, Yuenan Wang, Guangwei Zhang, Jing Liu, Yaoqin Xie. Artificial Intelligence-based Bone-enhanced Magnetic Resonance Image (MRI) - a CT/MRI Composite Image Modality in Nasopharyngeal Carcinoma Radiotherapy,Quantitative imaging in medicine and surgery,11(12):4709-4720,2021.
48. Wei Zhao, Liyue Shen, Md Tauhidul Islam, Wenjian Qin, Zhicheng Zhang, Xiaokun Liang, Gaolong Zhang, Shouping Xu, Xiaomeng Li. Artificial intelligence in image-guided radiotherapy: a review of treatment target localization,Quantitative imaging in medicine and surgery,11(12):4881–4894,2021.
47. Yang Liu, Jiaxin Hou, Zhijun Zhu, Bingguang Liu, Manrui Cao*, Wenjian Qin* . Assessment of Breast Arteries and Lymph nodes by 3D MR Angiography Enhancement Imaging: Feasibility and Pilot Clinical Results,BMC Medical Imaging,21(1):97,2021.
46. Zhicheng Zhang, Shaode Yu, Wenjian Qin, Xiaokun Liang, Yaoqin Xie, Guohua Cao. Self-supervised CT super-resolution with hybrid model,Computers in Biology and Medicine,138:104775,2021.
45. Guang Zeng, Jiahui He, Wenjian Qin*. Wide-Field Pixel Super-Resolution Colour Lensfree Microscope for Digital Pathology,Frontiers in Oncology,11:751223,2021.
44. Yinli Tian, Fei Xue, Ricardo Lambo, Jiahui He, Chao An, Yaoqin Xie, Hailin Cao*, Wenjian Qin*. Fully-automated functional region annotation of liver via a 2.5D class-aware deep neural network with spatial adaptation,Computer Methods and Programs in Biomedicine,200:105818,2021.
43. Yi Xue#, Wenjian Qin#, Chen Luo, Pengfei Yang, Yangkang Jiang, Tiffany Tsui, Hongjian He, Li Wang, Jiale Qin, Yaoqin Xie, Tianye Niu. Multi-Material Decomposition for Single Energy CT Using Material Sparsity Constraint,IEEE Transactions on Medical Imaging ,40(5):1303-1318,2021.
42. Wenjian Qin, Zhibo Xiao, Yaoqin Xie, Yixuan Yuan. Self-Paced Learning for Automatic Prostate Segmentation on MR Images with Hierarchical Boundary Sensitive Network,2020 IEEE International Conference on Real-time Computing and Robotics (RCAR),Asahikawa,Japan:321-326,2020.
41. Zhicheng Zhang, Xiaokun Liang, Wenjian Qin, Shaode Yu, Yaoqin Xie. matFR: a matlab toolbox for feature ranking,Bioinformatics,36(19):4968-4969,2020.
40. Songhui Diao#, Jiaxin Hou#, Hong Yu#, Xia Zhao, Yikang Sun, Ricardo Lewis Lambo, Yaoqin Xie, Lei Liu, Wenjian Qin*, Weiren Luo*. Computer-Aided Pathological Diagnosis of Nasopharyngeal Carcinoma Based on Deep Learning,The American Journal of Pathology,190(8):1691-1700,2020.
39. Wen Li, Yafen Li, Wenjian Qin, Xiaokun Liang, Jianyang Xu, Jing Xiong, Yaoqin Xie. Magnetic resonance image (MRI) synthesis from brain computed tomography (CT) images based on deep learning methods for magnetic resonance (MR)-guided radiotherapy,Quantitative imaging in medicine and surgery,10(6):1223-1236,2020.
38. Wenjian Qin, Yin Wu, Siyue Li, Yucheng Chen, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu. Automated segmentation of the left ventricle from MR cine imaging based on deep learning architecture,Biomedical Physics & Engineering Express,6(2):025009,2020.
37. Yangsu He#, Wenjian Qin#, Yin Wu, Mengxi Zhang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu. Automatic left ventricle segmentation from cardiac magnetic resonance images using a capsule network,Journal of X-Ray Science and Technology,28(3):541-553,2020.
36. Songhui Diao, Weiren Luo, Jiaxin Hou, Hong Yu, Yunqiang Chen, Jing Xiong, Yaoqin Xie, Wenjian Qin*. Computer Aided Cancer Regions Detection of Hepatocellular Carcinoma in Whole-slide Pathological Images based on Deep Learning,2019 International Conference on Medical Imaging Physics and Engineering (ICMIPE),Shenzhen,China:1-6,2019.
35. Guangchao Gui, Rong Huang, Zhaofeng Wu, Yunqiang Chen, Yaoqin Xie, Wenjian Qin*. A Comparison of Breast Tumors Classifications Based on Mammography and Digital Breast Tomosynthesis: A Fractal Analysis Study,2019 International Conference on Medical Imaging Physics and Engineering (ICMIPE),Shenzhen,China,2019.
34. Shaode Yu, Zhicheng Zhang, Xiaokun Liang, Junjie Wu, Erlei Zhang, Wenjian Qin, Yaoqin Xie. A Matlab Toolbox for Feature Importance Ranking,2019 International Conference on Medical Imaging Physics and Engineering (ICMIPE),Shenzhen,China,2019.
33. Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Guanglei Zhang, Bin Han, Max Q-H Meng, Lei Xing. Densely Connected Neural Network With Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition,IEEE Transactions on Automation Science and Engineering,17(2):574-583,2019.
32. Xiaokun Liang, Na Li, Zhicheng Zhang, Shaode Yu, Wenjian Qin, Yafen Li, Shupeng Chen, Huailing Zhang, Yaoqin Xie. Shading correction for volumetric CT using deep convolutional neural network and adaptive filter,Quantitative imaging in medicine and surgery,9(7):1242-1254,2019.
31. Yixuan Yuan, Wenjian Qin, Xiaoqing Guo, Mark Buyyounouski, Steve Hancock, Bin Han, Lei Xing. Prostate segmentation with encoder-decoder densely connected convolutional network (ed-densenet),2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019),Venice, Italy:434-437,2019.
30. Yixuan Yuan, Wenjian Qin, Mark Buyyounouski, Bulat Ibragimov, Steve Hancock, Bin Han, Lei Xing. Prostate cancer classification with multiparametric MRI transfer learning model,Medical physics,46(2):756-765,2019.
29. Wei Zhao, Dengwang Li, Kai Niu, Wenjian Qin, Hao Peng, Tianye Niu. Robust Beam Hardening Artifacts Reduction for Computed Tomography Using Spectrum Modeling,IEEE Transactions on Computational Imaging,5(2):333-342,2018.
28. Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Bin Han, Lei Xing. RIIS-DenseNet: Rotation-invariant and image similarity constrained densely connected convolutional network for polyp detection,International Conference on Medical Image Computing and Computer-Assisted Intervention,11071:620-628,2018.
27. Jingzhen Li, Tobore Igbe, Yuhang Liu, Zedong Nie, Wenjian Qin, Lei Wang, Yang Hao. An approach for noninvasive blood glucose monitoring based on bioimpedance difference considering blood volume pulsation,IEEE Access,6:51119-51129,2018.
26. Ting Xiao, Lei Liu, Kai Li, Wenjian Qin, Shaode Yu, Zhicheng Li. Comparison of transferred deep neural networks in ultrasonic breast masses discrimination,BioMed research international,2018:4605191,2018.
25. Yanjun Liu#, Wenjian Qin#, Rongmao Li, Shaode Yu, Yini He, Yaoqin Xie. Investigation on the neural mechanism of hypnosis-based respiratory control using functional MRI,Contrast media & molecular imaging,2018:8182542,2018.
24. Zhiyong Wan, Wenjian Qin, Kuiliang Song, Bin Wang, Dahao Zhang, Ling Li. Semi-Supervised Representation Learning for Infants Biliary Atresia Screening Using Deep CNN-Based Variational Autoencoder,International Conference on Mechatronics and Intelligent Robotics,856:1207-1212,2018.
23. Wenjian Qin, Jia Wu, Fei Han, Yixuan Yuan, Wei Zhao, Bulat Ibragimov, Jia Gu, Lei Xing. Superpixel-based and boundary-sensitive convolutional neural network for automated liver segmentation,Physics in Medicine & Biology,63(9):095017,2018.
22. Lei Liu#, Kai Li#, Wenjian Qin#, Tiexiang Wen, Ling Li, Jia Wu, Jia Gu. Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images,Medical & biological engineering & computing,56(2):183-199,2018.
21. Yixuan Yuan, Max Q-H Meng, Wenjian Qin, Lei Xing. Liver lesion detection based on two-stage saliency model with modified sparse autoencoder,International Conference on Medical Image Computing and Computer-Assisted Intervention,10435:577-585,2017.
20. Tiexiang Wen, Rong Liu, Lei Liu, Wenjian Qin, Ling Li, Jia Gu. GPU-based volume reconstruction for freehand 3D ultrasound imaging,2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),eju,Korea(South):3700-3703,2017.
19. Yunliang Chen, Lizhe Wang, Fangyuan Li, Bo Du, Kim-Kwang Raymond Choo, Houcine Hassan, Wenjian Qin. Air quality data clustering using EPLS method,Information Fusion,36:225-232,2017.
18. Tiexiang Wen, Ling Li, Qingsong Zhu, Wenjian Qin, Jia Gu, Feng Yang, Yaoqin Xie. GPU-accelerated Kernel regression reconstruction for freehand 3D ultrasound imaging,Ultrasonic imaging,39(4):240-259,2017.
17. Jingzhen Li, Yuhang Liu, Zedong Nie, Wenjian Qin, Zengyao Pang, Lei Wang. An approach to biometric verification based on human body communication in wearable devices,Sensors,17(1):125,2017.
16. Tiexiang Wen, Jia Gu, Ling Li, Wenjian Qin, Lei Wang, Yaoqin Xie. Nonlocal Total-Variation–Based Speckle Filtering for Ultrasound Images,Ultrasonic imaging,38(4):254-275,2016.
15. Pengfei Shen, Wenjian Qin, Jie Yang, Wanming Hu, Shifu Chen, Ling Li, TieXiang Wen, Jia Gu. Segmenting multiple overlapping nuclei in h&e stained breast cancer histopathology images based on an improved watershed,2015 IET International Conference on Biomedical Image and Signal Processing (ICBISP 2015),Beijing,China:1-4,2015.
14. Lei Liu, Wenjian Qin, Rumin Yang, Chengbo Yu, Ling Li, Tiexiang Wen, Jia Gu. Segmentation of breast ultrasound image using graph cuts and level set,2015 IET International Conference on Biomedical Image and Signal Processing (ICBISP 2015),Beijing,China,2015.
13. Guiping Jiang, Wenjian Qin*, Shoujun Zhou, Changmiao Wang. State-of-the-art in medical image segmentation,Chinese Journal of Computers,38(6):1222-1242,2015.
12. Xiankang Chen, Tiexiang Wen, Xingmin Li, Wenjian Qin, Donglai Lan, Weizhou Pan, Jia Gu. Reconstruction of freehand 3D ultrasound based on kernel regression,Biomedical engineering online,13(1):124,2014.
11. Ling Li, Jia Gu, Tiexiang Wen, Wenjian Qin, Hua Xiao, Jiaping Yu. Multiscale Geometric Active Contour Model and Boundary Extraction in Kidney MR Images,International Conference on Health Information Science,8423:212-219,2014.
10. Qing Luo#, Wenjian Qin#, Tiexiang Wen, Jia Gu, Nikolas Gaio, Shifu Chen, Ling Li, Yaoqin Xie. Segmentation of abdomen MR images using kernel graph cuts with shape priors,Biomedical engineering online,12(1):124,2013.
9. Tiexiang Wen, Qingsong Zhu, Wenjian Qin, Ling Li, Fan Yang, Yaoqin Xie, Jia Gu. An accurate and effective FMM-based approach for freehand 3D ultrasound reconstruction,Biomedical Signal Processing and Control,8(6):645-656,2013.
8. Qing Luo, Wenjian Qin, Jia Gu, Ying Ji. Progress of the segmentation methods of magnetic resonance image and its application,International Journal of Biomedical Engineering,6:165-171,2013.
7. Qing Luo, Wenjian Qin, Jia Gu. Kernel Graph cuts segmentation for MR images with Intensity Inhomogeneity Correction,Applied Mechanics and Materials,333:938-943,2013.
6. Fan Yang#, Wenjian Qin#, Yaoqin Xie, Tiexiang Wen, Jia Gu. A shape-optimized framework for kidney segmentation in ultrasound images using NLTV denoising and DRLSE,Biomedical engineering online,11:82,2012.
5. Wenjian Qin, Zhicheng Li, Jia Gu, Ke Chen, Xiaoping Zhang. 1D Infrared Camera Distortion Based on Polynomial Model,2012 International Conference on Computer Application and System Modeling,698-701,2012.
4. Wenjian Qin, Tiexiang Wen, Zhen Zheng, Zhicheng Li, Weisong Li, Xiang Fang, Ying Ji, Jia Gu. A pilot study on simulation of Ultrasound from MRI using ray-based model,Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics,Hongkong,China:632-635,2012.
3. Xiaoying Liu, Jia Gu, Yaoqin Xie, Jun Xiong, Wenjian Qin. A new approach to detecting ulcer and bleeding in Wireless capsule endoscopy images,Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics,Hongkong,China:737-740,2012.
2. Tao Qiu, Tiexiang Wen, Wenjian Qin, Jia Gu, Lei Wang. Freehand 3D ultrasound reconstruction for image-guided surgery,International Symposium on Bioelectronics and Bioinformations 2011,Suzhou,China:147-150,2011.
1. Wenjian Qin, Jia Gu. Multiple-modality Calibration of Video and Magnetic Tracker Data for 3D Appearance and Structure Modeling in Minimally Invasive Surgery,Journal of Image and Graphics,15(7),2010.