个人简介：

王向学，博士，江苏省特聘教授，美国埃默里大学访问教授，美国罗氏制药高级图像科学家。从事医学图像计算在癌症辅助诊断方面的研究与分析工作，具有长期且持续的医学图像分析与计算机辅助系统研发经验，发表Science Advances, Nature Communication等多篇高影响力文章50余篇，累计Google Scholar引用次数1500余次，获批相关美国专利11项。主持国家自然科学基金、江苏省重点研发计划、重大人才项目等5项。

招生简介：

课题组长期支持在校大二、大三本科生参与科研创新类项目、进行毕业论文（设计）工作，面向计算机科学、人工智能等方向招收研究生。欢迎邮件咨询：xwang@nuist.edu.cn

Google学术主页：https://scholar.google.com/citations?hl=en&user=WEE2uscAAAAJ

学习与工作经历：

2021-至今    南京信息工程大学   人工智能学院    教授、江苏省重大人才工程、龙山学者、智能医学工程系主任

2024-2024    Emory University (美国埃默里大学), School of Medicine, Visiting Professor

2019-2021    Roche, Senior Imaging Scientist

2014-2019    Case Western Reserve University, Biomedical Engieering, Ph.D.

获奖与荣誉：江苏TP教授（2023），江苏双创博士（2022）

科研项目：

国家自然科学基金(青年项目)

江苏省重大人才工程

江苏省高等学校基础科学（自然科学）研究面上项目

江苏省重点研发计划（社会发展）项目（课题负责人）

教学指导成果：

2024年第六届全球校园人工智能算法精英赛（江苏），三等奖

2023、2024教育部协同育人（课程体系改革）项目

2024南京信息工程大学毕设优秀指导教师

近期代表工作：

2025：

1.Wang, Xiangxue, et al. "Glo-net: A dual task branch based neural network for multi-class glomeruli segmentation." Computers in Biology and Medicine 186 (2025): 109670.(中科院一区，第一作者)

2.Cui, Haoyu, et al. "Prediction of molecular subtypes for endometrial cancer based on hierarchical foundation model." Bioinformatics (2025): btaf059. （三高库T1，通讯作者）

3.Zhang, Jiawei, et al. "AI-based prediction of androgen receptor expression and its prognostic significance in prostate cancer." Scientific Reports 15.1 (2025): 3985.（共同通讯）

4.Song, Bolin, et al. "Deep learning informed multimodal fusion of radiology and pathology to predict outcomes in HPV-associated oropharyngeal squamous cell carcinoma." EBioMedicine 114 (2025).（中科院一区TOP）

5.Zhang, Ke, et al. "Development of model for identifying homologous recombination deficiency (HRD) status of ovarian cancer with deep learning on whole slide images." Journal of Translational Medicine 23.1 (2025): 267.（共同通讯）

2024：

1. Progress and Challenges of Medical Multimodal Data Fusion Methods Based on Deep Learning in Oncology CAI Chengfei, LI Jun, J Yiping, W Xiangxue, GUO Guanchen Frontiers of Data and Computing 6 (3), 3-14

2. Pathological Primitive Segmentation based on Visual Foundation Model with Zero-Shot Mask Generation ABH Arnob, X Wang, Y Jiao, X Gan, W Ming, J Xu 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-4

3. AI-Based Computational Pathology and Its Contribution to Precision Medicine H Lu, L Li, K Ong, Y Wang, Y Jiao, X Wang, C Cai, J Zhang, J Hou, Frontiers in Bioimage Informatics Methodology, 167-193

4. Differentiation and risk stratification of basal cell carcinoma with deep learning on histopathologic images and measuring nuclei and tumor microenvironment features, X Lan, G Guo, X Wang, Q Yan, R Xue, Y Li, J Zhu, Z Dong, F Wang, G Li, Skin Research and Technology 30 (1), e13571

2023：

1. Single-cell morphological and topological atlas reveals the ecosystem diversity of human breast cancer S Zhao, DP Chen, T Fu, JC Yang, D Ma, XZ Zhu, XX Wang, YP Jiao, X Jin, Nature Communications 14 (1), 6796

2 .Ct radiomic signature predicts survival and chemotherapy benefit in stage i and ii hpv-associated oropharyngeal carcinoma, B Song, K Yang, VS Viswanathan, X Wang, J Lee, S Stock, P Fu, C Lu, NPJ precision oncology 7 (1), 53

3. Transformer as a spatially-aware multi-instance learning framework to predict the risk of death for early-stage non-small cell lung cancer, Y Zhou, C Koyuncu, G Corredor, X Wang, C Lu, A Madabhushi, Medical Imaging 2023: Digital and Computational Pathology 12471, 207-215

4. Multi-tissue segmentation model of whole slide image of pancreatic cancer based on multi task and attention mechanism, W Gao, H Jiang, Y Jiao, X Wang, J Xu, Journal of Biomedical Engineering

2022：

Wang X, Barrera C, Bera K, Viswanathan VS, Azarianpour-Esfahani S, Koyuncu C, Velu P, Feldman MD, Yang M, Fu P, Schalper KA. Spatial interplay patterns of cancer nuclei and tumor-infiltrating lymphocytes (TILs) predict clinical benefit for immune checkpoint inhibitors. Science Advances. 2022 Jun 3;8(22):eabn3966.

Xie J, Pu X, He J, Qiu Y, Lu C, Gao W, Wang X, Lu H, Shi J, Xu Y, Madabhushi A. Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images. Computers in Biology and Medicine. 2022 Jul 1;146:105520.

Liang S, Lu H, Zang M, Wang X, Jiao Y, Zhao T, Xu EY, Xu J. Deep SED‐Net with interactive learning for multiple testicular cell types segmentation and cell composition analysis in mouse seminiferous tubules. Cytometry Part A. 2022 Apr 7.

2021：

Wang X, Bera K, Barrera C, Zhou Y, Lu C, Vaidya P, Fu P, Yang M, Schmid RA, Berezowska S, Choi H. A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer. EBioMedicine. 2021 Jul 1;69:103481.

Madabhushi A, Wang X, Barrera C, Velcheti V, inventors; Cleveland Clinic Foundation, Case Western Reserve University, assignee. Predicting response to immunotherapy using computer extracted features of cancer nuclei from hematoxylin and eosin (HandE) stained images of non-small cell lung cancer (NSCLC). United States patent US 11,055,844. 2021 Jul 6.

Xu J, Lu H, Li H, Yan C, Wang X, Zang M, de Rooij DG, Madabhushi A, Xu EY. Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis. Medical image analysis. 2021 May 1;70:101835.

Lu C, Koyuncu C, Corredor G, Prasanna P, Leo P, Wang X, Janowczyk A, Bera K, Lewis Jr J, Velcheti V, Madabhushi A. Feature-driven local cell graph (FLocK): new computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers. Medical image analysis. 2021 Feb 1;68:101903.