王利生
职称：教授
办公地址：电信群楼2号楼439房间
办公电话：, **
电子邮箱：lswang@sjtu.edu.cn

科研方向
研究领域包括：三维医学图像的分析与可视化及其临床应用、计算机辅助的智能影像诊断及其临床应用、计算机辅助的手术规划及其临床应用、图像图形处理、机器视觉及其工业应用、非线性系统分析等。
目前研究的主要内容包括：
(1) 基于智能计算的三维图像医学的可视化技术及其临床应用
----体绘制可视化技术中三维图像的分类与传递函数设计问题；
----视觉激励的三维图像中隐边界曲面的自适应检测与重构方法研究 (多视觉机制的集成的应用)；
(2) 智能医学影像分析及其临床应用
---- 基于机器学习、多图谱或先验模型的三维图像中感兴趣器官的分割及体绘制可视化；
---- 计算机辅助的智能医学影像诊断技术及其临床应用（特定类型病灶的检测、分割）
---- 基于机器学习的医学影像中各类异常区域的自动检测 (计算机该如何学习医生的影像读片能力？)
---- 基于影像组学的医学影像定量分析；基于多组学数据的临床问题定量分析
(3) 计算机辅助的术前手术规划技术或系统及其临床应用；
科研成果
部分论文的目录(*通讯作者)：
[27]Yi-Jie Huang, Weiping Liu, Xiuying Wang, Qu Fang, Renzhen Wang ,Yi Wang, Huai Chen, Hao Chen, Deyu Meng, Lisheng Wang*,
Rectifying Supporting Regions with Mixed and Active Supervision for Rib Fracture Recognition,
IEEE Transactions on Medical Imaging, 39(12): 3843-3854, 2020
[26]Yibao Li, Shouren Lan, Xin Liu, Bingheng Lu, Lisheng Wang*,
An efficient volume repairing method by using a modified Allen-Cahn equation,
Pattern Recognition, 107 (2020) 107478, https://doi.org/10.1016/j.patcog.2020.107478
[25]Xiyi Wu, Huai Chen, Yijie Huang, Huayan Guo, Tiantian Qiu, Lisheng Wang*，
Center-sensitive and boundary-aware tooth instance segmentation and classification from CBCT,
ISBI 2020
[24] Qiufang Liu, Dazhen Sun, Nan Li, Jinman Kim, Dagan Feng, Gang Huang, Lisheng Wang*, Shaoli Song*,
Predicting EFGR Mutation Subtypes in Lung Adenocarcinoma Using 18F-FDG PET/CT Radiomic Features,
Translational Lung Cancer Research, 9(3): 549-562, 2020
[23] YiJie Huang, Qi Dou, ZiXian Wang, LiZhi Liu, Ying Jin, ChaoFeng Li, Lisheng Wang*, Hao Chen*, RuiHua Xu*
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation,
IEEE Trans. Cybernetics, 2020, online, 10.1109/TCYB.2020.**
[22] Huai Chen, Yuxiao Qi, Yong Yin, Tengxiang Li, Xiaoqing Liu, Xiuli Li, Guanzhong Gong, Lisheng Wang*,
MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma,
Neurocomputing, 394: 27-40, 2020
[21] Benzhi Chen, Lisheng Wang*, Xiuying Wang, Jian Sun, Yijie Huang, Dagan Feng, Zongben Xu,
Abnormality detection in retinal image by individualized background learning,
Pattern Recognition, 102 (2020) 107209, https://doi.org/10.1016/j.patcog.2020.107209
[20] Jieyu Li, Jayaram K. Udupa, Yubing Tong, Lisheng Wang, Drew A.Torigian,
LinSEM: Linearizing Segmentation Evaluation Metrics for Medical Images,
Medical Image Analysis, 60 (2020) 101601, https://doi.org/10.1016/j.media.2019.101601
[19] Mengmeng Jiang, Dazhen Sun, Yinglong Guo, Yixian Guo, Jie Xiao, Lisheng Wang*, Xiuzhong Yao*,
Assessing PD-L1 Expression Level by Radiomic Features From PET/CT in Nonsmall Cell Lung Cancer Patients: An Initial Result,
Academic Radiology, 27: 171-179, 2020
[18] Renzhen Wang, Benzhi Chen, Deyu Meng, Lisheng Wang
Weakly-Supervised Lesion Detection from Fundus Images,
IEEE Trans. Medical Imaging, 38(6), 1501-1512, 2019.
[17] Huai Chen, Xiuying Wang, Yijie Huang, Xiyi Wu, Yizhou Yu, Lisheng. Wang*,
Harnessing 2D Networks and 3D Features for Automated Pancreas Segmentation from Volumetric CT Images,
MICCAI 2019
[16] Benzhi Chen, Lisheng Wang*, Jian Sun, Huai Chen, Yinghua Fu, Shouren Lan, Yijie Huang, Zongben Xu,
Diverse lesion detection from retinal images by subspace learning over normal samples,
Neurocomputing, 297, 59-70, 2018
[15] Benzhi Chen, Zhihong Fang, Yong Xia, Lan Zhang, Yijie Huang, Lisheng Wang*,
Accurate defect detection via sparsity reconstruction for weld radiographs,
NDT and E International, 94: 62–69, 2018
[14] Heran Yang, Jian Sun, Huibin Li, Lisheng Wang, Zongben Xu
Neural multi-atlas label fusion: Application to cardiac MR images
Medical Image Analysis, 49:60-75, 2018
[13] Shouren Lan, Lisheng Wang*,Yipeng Song, Yu-ping Wang, Liping Yao, Kun Sun, Bin Xia, Zongben Xu,
Improving Separability of Structures with Similar Attributes in 2D Transfer Function Design,
IEEE Trans. Visualization & Computer Graphics, 2017, vol. 23, no. 5, pp. 1546-1560(Regular paper)
[12] Yang Wang, Lin Wu, Huayan Guo, Tiantian Qiu, Yuanliang Huang, Bin Lin and Lisheng Wang*,
Computation of tooth axes of existent and missing teeth from 3D CT images,
Biomedical Engineering-Biomedizinische Technik, vol. 60, no. 6, pp: 623-632, 2015
[11] Shuang Li, Caiwen Xiao, Liyao Duan, Chunlong Fang, Yuanliang Huang, Lisheng Wang*,
CT image-based computer-aided system for orbital prosthesis rehabilitation,
Medical & Biological Engineering & Computing, vol. 53, pp. 943–950, 2015
[10] Lisheng Wang, Pai Wang, Liuhang Cheng, Yu Ma, Shenzhi Wu, Yu-Ping Wang, Zongben Xu,
Detection and reconstruction of an implicit boundary surface by adaptively expanding a small surface patch in a 3D image,
IEEE Trans. Visualization & Computer Graphics, 2014, vol.20, no.11, pp. 1490-1506 (Regular paper)
[9] Lisheng Wang, Zongben Xu,
Quantitative studies on asymptotic growth behaviors of trajectories of nonlinear discrete dynamical systems,
IEEE Trans. Automatic Control, 2014. vol. 59, no.7, pp. 1930-1935
[8] Lisheng Wang, Rui Zhang, Zongben Xu and Jigen Peng,
Some characterizations of global exponential stability of a generic class of continuous-time recurrent neural networks,
IEEE Trans. Systems, Man and Cybernetics-Part B, vol. 39, no.3, pp. 763-772, 2009 (Regular paper)
[7] Lisheng Wang, Jing Bai, Ping He, Pheng-Ann Heng, Xin Yang,
A computational framework for approximating boundary surfaces in 3-D biomedical images,
IEEE Trans. Information Technology in Biomedicine, vol.11, no.6, pp. 668-682, 2007 (Regular paper)
[6] Lisheng Wang, Zongben Xu,
On Characterizations of Exponential Stability of Nonlinear Discrete Dynamical Systems on Bounded Regions,
IEEE Trans. Automatic Control, vol. 52, no. 10, pp. 1871-1881, 2007, (Regular paper)
[5] Lisheng Wang, Zongben Xu, Qunfei Zhao,
Quantitative Characterizations of Exponential Convergence Property of Nonlinear Discrete Dynamical Systems,
IEEE Trans. Automatic Control, vol. 52, no. 11, pp. 2129-2134, 2007
[4] Lisheng Wang, Zongben Xu,
Sufficient and necessary conditions for global exponential stability of discrete-time recurrent neural networks,
IEEE Trans. Circuits & Systems I: Regular paper, vol. 53, no. 6, pp. 1373-1380, 2006 (Regular paper)
[3] Lisheng Wang, Jing Bai, Kui Ying,
Adaptive approximation of the boundary surface of a neuron in confocal microscopy volumetric images,
Medical & Biological Engineering & Computing, vol. 41, no.4, 601-607, 2003
[2] Lisheng Wang, Jing Bai,
Threshold selection by clustering grey levels of boundary,
Pattern Recognition Letters, vol. 24, 1983-1999，2003
[1] Lisheng Wang, Pheng-Ann Heng, Kwong-Sak Leung, Zongben Xu,
Global exponential asymptotic stability in nonlinear discrete dynamical systems,
Journal of Mathematical Analysis & Application, 258(1): 349-358, 2001

获奖

4. “Automatic image grading of Diabetic Retinopathy" 国际挑战赛；
“Multi-organ Nuclei Segmentation and Classification”国际挑战赛。
由医学影像分析领域国际重要会议ISBI2020举办。
实验室一、二年纪硕士生李江、吴希仪分别参加了这两项国际挑战赛，并都获得第二名。
3. StructSeg 2019国际挑战赛，由医学影像分析领域顶会MICCAI 2019所举办
博士生陈怀为首实验室团队参赛并在四项竞赛任务中获得三项冠军(Tasks 1, 2, 4)及一项第六
挑战赛内容：放疗规划中靶区结构的智能勾画, 包括四项不同解剖结构或病灶自动分割任务：
Task 1: Organ-at-risk segmentation from head & neck CT scans(头颈部危及器官分割)；
Task 2: Gross Target Volume segmentation of nasopharynx cancer(鼻咽癌放疗靶区分割)；
Task 3: Organ-at-risk segmentation from chest CT scans(胸部危及器官(OAR)分割)；
Task 4: Gross Target Volume segmentation of lung cancer(肺癌放疗靶区(GTV)分割)；

2. 2018产学研医用创新大赛，由第四届国际康复医学与工程前沿技术临床转化会议举办。
博士生裴羽尘为首的实验室团队参赛获得第三名、二等奖；
实验室参赛项目：“骨关节三维建模及手术规划系统”；

1. 2018全球(南京)人工智能应用大赛，由南京市人民政府主办，国内外1258个团队参赛。
陈怀、夏闻进为首的实验室团队参赛并获得并列第三名、二等奖；
实验室参赛的智能医疗项目：“CBCT智能牙根分割”；

教授课程


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