Multi-modal Intelligent Lab (miX)


Wenjian Qin Ph.D. Professor of SIAT

Publications


2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010

2024
91.Cross-region feature fusion of global and local area for subtype classification prediction in cervical tumour
Jiahui He,Zhibo Xiao,Fuqiang Chen,Boyun Zheng,Shudong Tan,Yaoqin Xie,Xiangjian He,Wenjian Qin. Journal of Radiation Research and Applied Sciences,17(4):101097,2024,
DOI:DOI:10.1016/j.jrras.2024.101097

2024
90.Improving Single-Source Domain Generalization via Anatomy-Guided Texture Augmentation for Cervical Tumor Segmentation
Lixue Qin,Zhibo Xiao,Nazar M Zaki,Yaoqin Xie,Wenjian Qin. In book: Computational Mathematics Modeling in Cancer Analysis (pp.70-79),2024,
DOI:DOI:10.1007/978-3-031-73360-4_8

2024
89.Evaluating the Segmentation Performance of Gross Volume Tumor in Cervical Cancer Using MRI Images
Nazar M Zaki,Anusuya Baby,Rafat Damseh,Wenjian Qin,Ayham Zaitouny,Isaias Mehari Ghebrehiwet. Conference: 2024 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB),2024,
DOI:DOI:10.1109/CIBCB58642.2024.10702146

2024
88.Liver vessel MRI image segmentation based on dual-path diffusion model
Ruidai WU,Yue Peng,Songxiong Wu,Zhengkui Peng,Yanjiao Li,Minmin Zhou,Bing Xiong,Fuqiang Chen,Wenjian Qin. Journal of Radiation Research and Applied Sciences,17(3),2024,
DOI:DOI:10.1016/j.jrras.2024.101025

2024
87.Context-Aware Representation Learning for Hepatocellular Carcinoma Prognosis in Whole Slide Images
Luyu Tang,Kun Ru,Wenjian Qin. Conference: 2024 IEEE International Symposium on Biomedical Imaging (ISBI),2024,
DOI:DOI:10.1109/ISBI56570.2024.10635721

2024
86.Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining
Fuqiang Chen,Ranran Zhang,Boyun Zheng,Yiwen Sun,Jiahui He,Wenjian Qin. ,2024,

2024
85.Evaluating Virtual Contrast-enhanced MRI (VCE-MRI) in Nasopharyngeal Carcinoma Radiotherapy: A Retrospective Analysis for Primary Gross Tumor Delineation
Wen Li,Dan Zhao,Guangping Zeng,Zhi Chen,Zhou Huang,Saikit Lam,Andy Lai-Yin Cheung,Ge Ren,Chenyang Liu,Xi Liu,Francis Kar-Ho Lee,Kwok-Hung Au,Victor Ho-Fun Lee,Yaoqin Xie,Wenjian Qin,Jing Cai,Tian Li. International Journal of Radiation Oncology*Biology*Physics,2024,
DOI:10.1016/j.ijrobp.2024.06.015

2024
84.Self-supervised multi-magnification feature enhancement for segmentation of hepatocellular carcinoma region in pathological images
Songhui Diao,Xiang Liu,Xuan Liu,Boyun Zheng,Jiahui He,Yaoqin Xie,Wenjian Qin. Engineering Applications of Artificial Intelligence 133(12):108335,2024,
DOI:133(12):108335

2024
83.Dual domain distribution disruption with semantics preservation: Unsupervised domain adaptation for medical image segmentation
Boyun Zheng,Ranran Zhang,Songhui Diao,Jingke Zhu,Yixuan Yuan,Jing Cai,Liang Shao,Shuo Li,Wenjian Qin. Medical Image Analysis 97(7):103275,2024,
DOI:97(7):103275

2024
82.AGWNet: Attention-guided adaptive shuffle channel gate warped feature network for indoor scene RGB-D semantic segmentation
Bing Xiong,Yue Peng,JingKe Zhu,Jia Gu,Zhen Chen,Wenjian Qin. Displays 83(21):102730,2024,
DOI:April 202483(21):102730

2024
81.Corrigendum to ‘Fast physic-informed mixer architecture for color Lensfree holographic reconstruction’ [Optics and Lasers in Engineering 173 (2024) 107897]
Jiaqian Wang,Guang Zeng,Wang Zhang,JiaYe He,Fan Yang,Yaoqin Xie,Wenjian Qin. Optics and Lasers in Engineering 175:108007,2024,
DOI:April 2024175:108007

2024
80.Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images
Luyu Tang,Songhui Diao,Chao Li,Miaoxia He,Kun Ru,Wenjian Qin. Computerized Medical Imaging and Graphics 115(108):102378,2024,
DOI:April 2024115(108):102378

2024
79.Fast physic-informed mixer architecture for color Lensfree holographic reconstruction
Jiaqian Wang,Guang Zeng,Wang Zhang,JiaYe He,Fan Yang,Yaoqin Xie,Wenjian Qin. Optics and Lasers in Engineering,173(1):107897,2024,
DOI:10.1016/j.optlaseng.2023.107897

2024
78.Positive-Unlabeled Learning with Field of View Consistency for Histology Image Segmentation
Xiaoqi Jia,Chong Fu,Jiaxin Hou,Wenjian Qin. In book: Frontier Computing on Industrial Applications Volume 4 (pp.127-136),2024,
DOI:DOI:10.1007/978-981-99-9342-0_14

2023
77.Saliency-guided stairs detection on wearable RGB-D devices for visually impaired persons with Swin-Transformer
Zhuowen Zheng,Jiahui He,Jia Gu,Zhen Chen,Wenjian Qin. Pattern Recognition Letters,177(4),2023,
DOI:10.1016/j.patrec.2023.11.022

2023
76.Shape-Aware Diffusion Model for Tumor Segmentation on Gd-EOB-DTPA MRI Images of Hepatocellular Carcinoma
Ruodai Wu,Yue Peng,Bing Xiong,Wenjian Qin,Songxiong Wu. In book: Computational Mathematics Modeling in Cancer Analysis (pp.131-139),2023,
DOI:DOI:10.1007/978-3-031-45087-7_14

2023
75.Efficient sequencing data compression and FPGA acceleration based on a two-step framework
Shifu Chen,Yaru Chen,Zhouyang Wang,Wenjian Qin,Jing Zhang,Heera Nand,Jishuai Zhang,Jun Li,Xiaoni Zhang,Xiaoming Liang,Mingyan Xu. Frontiers in Genetics,14,2023,
DOI:DOI:10.3389/fgene.2023.1260531

2023
74.Graph-based methods for cervical cancer segmentation: Advancements, limitations, and future directions
Nazar Zaki,Wenjian Qin,Anusuya Baby. AI Open,4(1),2023,
DOI:DOI:10.1016/j.aiopen.2023.08.006

2023
73.Editorial: Optical imaging in neuroscience and brain disease
Guanglei Zhang,Xibo Ma,Wenjian Qin,Mengyu Jia,Maomao Chen. Frontiers in Neuroscience,17:1192863,2023,
DOI:DOI:10.3389/fnins.2023.1192863

2023
72.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

2023
71.Style Enhanced Domain Adaptation Neural Network for Cross-Modality Cervical Tumor Segmentation
Boyun Zheng,Jiahui He,Jiuhe Zhu,Yaoqin Xie,Nazar M Zaki,Wenjian Qin. In book: Computational Mathematics Modeling in Cancer Analysis (pp.140-149),2023,
DOI:DOI:10.1007/978-3-031-45087-7_15

2023
70.Clinical Evaluation of AI-Assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma
Wen Li,Dan Zhao,Zhi Chen,Zhou Huang,Saikit Lam,Yaoqin Xie,Wenjian Qin,Andy Lai-Yin Cheung,Haonan Xiao,Chenyang Liu,Francis Kar-Ho Lee,Kwok-Hung Au,Victor Ho Fun Lee,Jing Cai,Tian Li. In book: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 (pp.541-550),2023,
DOI:DOI:10.1007/978-3-031-43990-2_51

2023
69.Automated Cellular-Level Dual Global Fusion of Whole-Slide Imaging for Lung Adenocarcinoma Prognosis
Songhui Diao,Pingjun Chen,Eman Showkatian,Rukhmini Bandyopadhyay,Frank Rojas,Bo Zhu,Lingzhi Hong,Muhammad Aminu,Maliazurina B. Saad,Morteza Salehjahromi,Amgad Muneer,Sheeba Sujit,Carmen Behrens,Don L Gibbons,John V. Heymach,Neda Kalhor,Ignacio I. Wistuba,Luisa Solis,Jianjun Zhang,Wenjian Qin,Jia Wu. Cancers,15(19):4824,2023,
DOI:DOI:10.3390/cancers15194824

2023
68.ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy
Yinli Tian,Wenjian Qin,Fei Xue,Ricardo Lambo,Meiyan Yue,Songhui Diao,Lequan Yu,Yaoqin Xie,Hailin Cao,Shuo Li. IEEE Journal of Biomedical and Health Informatics,PP(99),2023,
DOI:DOI:10.1109/JBHI.2023.3270664

2023
67.Constructing metabolism-protein interaction relationship to identify glioma prognosis using deep learning
Qingpei Lai,Xiang Liu,Fan Yang,Jie Li,Yaoqin Xie,Wenjian Qin. Computers in Biology and Medicine,158(2):106875,2023,
DOI:DOI:10.1016/j.compbiomed.2023.106875

2022
66.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

2022
65.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

2022
64.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

2022
63.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

2022
62.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,
DOI:10.1109/CBMS55023.2022.00058

2022
61.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,
DOI:10.2139/ssrn.4160681

2022
60.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,
DOI:10.2139/ssrn.4211390

2022
59.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,
DOI:10.2139/ssrn.4310968

2022
58.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  |  Project

2022
57.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,
Paper  |  Code  |  Project

2022
56.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  |  Project

2021
55.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,
DOI:10.2139/ssrn.3871115

2021
54.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

2021
53.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  |  Project

2021
52.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

2021
51.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

2021
50.Self-supervised CT super-resolution with hybrid model
Zhicheng Zhang, Shaode Yu, Wenjian Qin, Xiaokun Liang, Yaoqin Xie, Guohua Cao. Computers in Biology and Medicine,138:104775,2021,
DOI:https://doi.org/10.1016/j.compbiomed.2021.104775

2021
49.Wide-Field Pixel Super-Resolution Colour Lensfree Microscope for Digital Pathology
Guang Zeng, Jiahui He, Wenjian Qin*. Frontiers in Oncology,11:751223,2021,
Paper  |  Project

2021
48.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

2021
47.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

2020
46.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

2020
45.matFR: a matlab toolbox for feature ranking
Zhicheng Zhang, Xiaokun Liang, Wenjian Qin, Shaode Yu, Yaoqin Xie. Bioinformatics,36(19):4968-4969,2020,
DOI:https://doi.org/10.1093/bioinformatics/btaa621

2020
44.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  |  Code

2020
43.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

2020
42.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

2020
41.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

2019
40.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

2019
39.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

2019
38.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

2019
37.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

2019
36.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

2019
35.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

2019
34.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

2018
33.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

2018
32.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

2018
31.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

2018
30.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

2018
29.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

2018
28.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

2018
27.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

2018
26.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

2018
25.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

2018
24.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

2017
23.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

2017
22.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

2017
21.Air quality data clustering using EPLS method
Yunliang Chen, Lizhe Wang, Fangyuan Li, Bo Du, Kim-Kwang Raymond Choo, Houcine Hassan, Wenjian Qin. Information Fusion,36:225-232,2017,
DOI:https://doi.org/10.1016/j.inffus.2016.11.015

2017
20.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

2017
19.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

2016
18.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

2015
17.Nonlocal Total Variation-Based Speckle Filtering for Ultrasound Images
T. X. Wen,Jia Gu,Ling Li,Wenjian Qin,Lei Wang,Yaoqin Xie. Ultrasonic Imaging,38(4),2015,
DOI:DOI:10.1177/0161734615600676

2015
16.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

2015
15.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

2015
14.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,

2014
13.Reconstruction of Freehand 3D Ultrasound based on Kernel Regression.
Xiankang Chen,T. X. Wen,Xingmin Li,Wenjian Qin,Donglai Lan,Weizhou Pan,Jia Gu. BioMedical Engineering OnLine,13(1):124,2014,
DOI:DOI:10.1186/1475-925X-13-124

2014
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

2014
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

2013
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

2013
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

2013
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,

2013
7.Kernel Graph cuts segmentation for MR images with Intensity Inhomogeneity Correction
Qing Luo, Wenjian Qin, Jia Gu. Applied Mechanics and Materials,333:938-943,2013,
DOI:https://doi.org/10.4028/www.scientific.net/AMM.333-335.938

2012
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

2012
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

2012
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

2012
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

2011
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

2010
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,

Multi-modal Intelligent Lab (miX)


1068 Xueyuan Avenue, University Town, Nanshan District, Shenzhen, Guangdong Province (086) 0755-26652867 wj.qin@siat.ac.cn http://www.qin-mixlab.cn