部分论文的目录(*通讯作者，MICCAI及IPMI是领域内的顶会)：
[49] Yuchen Pei, Fenqiang Zhao, Tao Zhong, Laifa Ma, Lufan Liao, Zhengwang
Wu, Li Wang, He Zhang, Lisheng Wang, and Gang Li,
PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains
Using Anatomy-guided Networks,
IEEE
Transactions on Medical Imaging, 43(3): 1006-1017, 2024
[48] Kelly Payette , Hongwei Bran Li, Priscille de Dumast, etc
Fetal brain tissue annotation and segmentation challenge results,
Medical
Image Analysis 88 (2023) 102833
[47] Shizhao Zhou, Dazhen Sun,
Wujian Mao, Yu Liu, Wei Cen, Lechi Ye, Fei Liang, Jianmin Xu*, Hongcheng Shi*,
Yuan Ji*, Lisheng Wang*, and Wenju Chang*,
Deep radiomics-based fusion model
for prediction of bevacizumab treatment response and outcome in patients with
colorectal cancer liver metastases: a multicentre cohort study,
eClinicalMedicine,
2023, 65: 102271
[46] Huai Chen , Renzhen Wang , Xiuying Wang , Jieyu
Li , Qu Fang, Hui Li, Jianhao Bai, Qing Peng*, Deyu Meng , and Lisheng Wang*,
Unsupervised Local
Discrimination for Medical Images,
IEEE Transactions on Pattern Analysis and
Machine Intelligence, 45(12): 15912-15929, 2023
[45] Ruikun Li, Chengyang An, Shuxin Wang, Guisheng
Wang, Lifeng Zhao, Yizhou Yu*, Lisheng
Wang*,
A heuristic method for rapid and automatic radiofrequency ablation
planning of liver tumors,
International Journal of Computer Assisted Radiology
and Surgery (2023) 18: 2213–2221
[44] Fuzhen Song, Ruikun Li, Jing Linc, Mingli Lv, Zhaoxia Qian*, Lisheng Wang*, Weibin Wu*,
Predicting the risk of fetal growth restriction by radiomics analysis of the placenta on T2WI: A retrospective case-control study,
Placenta, 134 (2023) 15–22
[43] Ruikun Li, Yujie Guo, Zhongchen Zhao, Mingming Chen, Xiaoqing Liu, Guanzhong Gong*, Lisheng Wang*,
MRI‑based two‑stage deep learning model for automatic detection and segmentation of brain metastases,
European Radiology (2023) 33:3521–3531
[42] Yuchen Pei, Guocheng Shi, Jieyu Li, Dazhen Sun, Chen Wen, Jiang Li, Meiping Huang, Huiwen Chen*, Lisheng Wang*,
Anatomical attention-based prediction of postoperative pulmonary venous obstruction via CTA images,
Computerized Medical Imaging and Graphics, 103 (2023) 102163
[41] Yuchen Du, Lisheng Wang*, Deyu Meng, Benzhi Chen, Chengyang An, Hao Liu, Weiping Liu, Yupeng Xu, Ying Fan, Dagan Feng, Xiuying Wang, Xun Xu*,
Individualized Statistical Modeling of Lesions in Fundus Images for Anomaly Detection,
IEEE Transactions on Medical Imaging, 42(5): 1185-1196, 2023
[40] Yuchen Pei, Guocheng Shi, Wenjin Xia, Chen Wen, Dazhen Sun, Fang Zhu, ......, Huiwen Chen*, and Lisheng Wang*，
Building a Risk Prediction Model for Postoperative Pulmonary Vein Obstruction via Quantitative Analysis of CTA Images,
IEEE Journal of Biomedical and Health Informatics, 2022, 26(7): 3127-3138
[39] Ningxin Chen, Ruikun Li, Mengmeng Jiang, Yixian Guo, Jiejun Chen, Dazhen Sun, Lisheng Wang*, Xiuzhong Yao*，
Progression-Free Survival Prediction in Small Cell Lung Cancer Based on Radiomics Analysis of Contrast-Enhanced CT，
Frontiers in Medicine，9(2022) 833283
[38] Shuai Liu, Ruikun Li, Qiufang Liu, Dazheng Sun, Hongxing Yang, Herong Pan, Lisheng Wang*, Shaoli Song*,
Radiomics model of 18F-FDG PET/CT imaging for predicting disease-free survival of early-stage uterine cervical squamous cancer,
Cancer Biomarkers 33 (2022) 249–259
[37] Guoqing Bao, Huai Chen, Tongliang Liu, Guanzhong Gong, Yong Yin, Lisheng Wang, and Xiuying Wang,
COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for COVID-19 Diagnosis and Severity Assessment,
Pattern Recognition, 124 (2022) 108499
[36] Valentin Oreiller, Vincent Andrearczyk, ......, Lisheng Wang , John O. Prior, Adrien Depeursinge,
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge,
Medical Image Analysis, 77 (2022) 102336
[35] Ruikun Li, Yi-Jie Huang, Huai Chen, Xiaoqing Liu, Yizhou Yu, Dahong Qian, and Lisheng Wang*,
3D Graph-Connectivity Constrained Network for Hepatic Vessel Segmentation,
IEEE Journal of Biomedical and Health Informatics, 26(3): 1251-1262, 2022
[34] Renzhen Wang, Yichen Wu, Huai Chen, Lisheng Wang, and Deyu Meng,
Neighbor Matching for Semi-supervised Learning,
MICCAI2021
[33] Ruchika Verma, Neeraj Kumar, ......, Lata Kini, and Amit Sethi,
MoNuSAC2020: A Multi-organ Nuclei Segmentation and Classification Challenge,
IEEE Transactions on Medical Imaging, 40(12): 3413-3423, 2021
[32] Yuchen Du, Qiuying Chen, Ying Fan, Jianfeng Zhu, ......, David Feng, Michael Fulham, Xiuying Wang, Lisheng Wang* and Xun Xu*,
Automatic identification of Myopic Maculopathy related imaging features in optic disc region via machine learning methods,
Journal of Translational Medicine, 19(167), 2021
[31] Huai Chen, Jiyu Li, RenZhen Wang, Fanrui Meng, Deyu Meng, Qing Peng, Lisheng Wang*,
Unsupervised learning of local discriminative representation for medical images,
IPMI 2021
[30] Jieyu Li, Jayaram K. Udupab, Yubing Tong, Lisheng Wang, Drew A. Torigian,
Segmentation evaluation with sparse ground truth data: Simulating true segmentations as perfect/imperfect as those generated by humans,
Medical Image Analysis, 69 (2021) 101980
[29] Yuxiao Qi, Jieyu Li, Huai Chen, Yujie Guo, Yong Yin, Guanzhong Gong, Lisheng Wang,
Computer‑aided diagnosis and regional segmentation of nasopharyngeal carcinoma based on multi‑modality medical images,
International Journal of Computer Assisted Radiology and Surgery, 16: 871-882, 2021,
[28] Yi-Jie Huang, Qi Dou, Zi-Xian Wang, Li-Zhi Liu, Ying Jin, Chao-Feng Li, Lisheng Wang*, Hao Chen*, Rui-Hua Xu*,
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation,
IEEE Transactions on Cybernetics, 51(11): 5397-5408, 2021
[27] 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
[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, 2020, 9(3): 549-562
[23] 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): 3843-383854, 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, 2020, 102: 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, 2020, 60: 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 Transactions on 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 Transactions on 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 Transactions on 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 Transactions on 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 Transactions on 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 Transactions on 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 Transactions on 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 Transactions on 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 Transactions on 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
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