期刊论文(Journals):

21. Fan Wang, Han Zhang, Zhengwang Wu, Dan Hu, Zhen Zhou, Jessica B. Girault, Li Wang, Weili Lin, Gang Li. Fine-grained Functional Parcellation Maps of the Infant Cerebral Cortex. eLife, July 2023.

20. Jing Xia#, Fan Wang#, Ya Wang#, Li Wang, Gang Li. "Longitudinal Mapping of the Development of Cortical Thickness and Surface Area in Rhesus Macaques during the First Three Years."  Proceedings of the National Academy of Sciences (PNAS), July 2023.

19. Fan Wang; Xuanang Xu; Defu Yang; Ronald Chen; Trevor Royce; Andrew Wang; Jun Lian; Chunfeng Lian. "Dynamic Cross-Task Representation Adaptation for Clinical Targets Co-Segmentation in CT Image-Guided Post-Prostatectomy Radiotherapy”, IEEE Transactions on Medical Imaging, 2022.

18. Huiyu Li# ,Chen Shen#, Gongji Wang, Qinru Sun, Kai Yu, Zefeng Li, XingGong Liang, Run Chen, Hao Wu, Fan Wang*, Zhenyuan Wang*, Chunfeng Lian*. "BloodNet: An attention-based deep network for accurate, efficient, and costless bloodstain time since deposition inference”, Briefings in Bioinformatics, 2022.

17. Huimiao Sun, Qianyun Li, Ruyi Xiao, Zedong Zhang, Xiaoyan Yang, Jie Yang, Bo Jin, Fan Wang. "A structural MRI study of global developmental delay in infants (< 2 years old)." Frontiers in Neurology 13 (2022): 952405.

16. Ying Huang, Zhengwang Wu, Fan Wang, Dan Hu, Tengfei Li, Lei Guo, Li Wang, Weili Lin, Gang Li. Mapping developmental regionalization and patterns of cortical surface area from 29 post-menstrual weeks to 2 years of age. Proceedings of the National Academy of Sciences (PNAS), August 2022.

15. Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Zhen Zhou, Guoshi Li, Li Wang, Weili Lin, Gang Li. "Existence of Functional Connectome Fingerprint During Infancy and Its Stability Over Months". The Journal of Neuroscience 2021 Nov.

14. Liangjun Chen, Zhengwang Wu, Dan Hu, Fan Wang, J. Keith Smith, Weili Lin, Li Wang, Dinggang Shen, Gang Li. "ABCnet: Adversarial Bias Correction Network for Infant Brain MR Images". Medical Image Analysis 2021 Aug; 72: 102133.

13. Fenqiang Zhao, Zhengwang Wu, Fan Wang, Weili Lin, Shunren Xia, Dinggang Shen, Li Wang, Gang Li. "Superfast Spherical Surface Registration Based on Deep Learning". IEEE Transactions on Medical Imaging 2021 Aug; 40: 1964-1976.

12. Jing Xia, Fan Wang, Oualid M Benkarim, Gerard Sanroma, Gemma Piella, Miguel A Gonzalez Ballester, Nadine Hahner, Elisenda Eixarch, Caiming Zhang, Dinggang Shen, et al. "Fetal cortical surface atlas parcellation based on growth patterns". In: Human brain mapping 40.13 (2019), pp. 3881-3899.

11. Chunfeng Lian, Li Wang, Tai-Hsien Wu, Fan Wang, Pew-Thian Yap, Ching-Chang Ko, and Dinggang Shen. "Deep Multi-Scale Mesh Feature
Learning for Automated Labeling of Raw Dental Surfaces from 3D Intraoral Scanners". In: IEEE Transactions on Medical Imaging (2020).

10. Jing Xia, Fan Wang, Zhengwang Wu, Li Wang, Caiming Zhang, Dinggang Shen, and Gang Li. \Mapping hemispheric asymmetries of the macaque cerebral cortex during early brain development". In: Human Brain Mapping 41.1 (2020), pp. 95-106.

9. Dan Hu, Han Zhang, Zhengwang Wu, Fan Wang, Li Wang, J Keith Smith, Weili Lin, Gang Li, and Dinggang Shen. "Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages". In: IEEE Transactions on Medical Imaging 39.12 (2020), pp. 4137-4149.

8. Gang Li, Li Wang, Pew-Thian Yap, Fan Wang, Zhengwang Wu, and Yu Meng. "Computational Neuroanatomy of Baby Brains". In: NeuroImage. (2018).

7. Fan Wang, Chunfeng Lian, Zhengwang Wu, Han Zhang, Tengfei Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen, and Gang Li. "Developmental topography of cortical thickness during infancy". In: Proceedings of the National Academy of Sciences 116.32 (2019), pp. 15855-15860.

6. Li Wang, Dong Nie, Guannan Li, Elodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jia-Wei Chen, et al. "Bench-
mark on automatic six-month-old infant brain segmentation algorithms: The iSeg-2017 challenge". In: IEEE Transactions on Medical Imaging 38.9 (2019), pp. 2219-2230.

5. Gang Li, Li Wang, Pew-Thian Yap, Fan Wang, Zhengwang Wu, Yu Meng, Pei Dong, Jaeil Kim, Feng Shi, Islem Rekik, et al. "Computational neuroanatomy of baby brains: A review". In: NeuroImage 185 (2019), pp. 906-925.

4. Jing Xia, Fan Wang, Yu Meng, ZhengwangWu, LiWang, Weili Lin, Caiming Zhang, Dinggang Shen, and Gang Li. "A computational method for
longitudinal mapping of orientation-specific expansion of cortical surface in infants". In: Medical Image Analysis 49 (2018), pp. 46-59.

3. Fan Wang, Chunfeng Lian, Pierre Vera, and Su Ruan. "Adaptive kernelized evidential clustering for automatic 3D tumor segmentation in FDG-PET images". In: Multimedia Systems 25.2 (2019), pp. 127-133.

2. Fan Wang, Samia Ainouz, Caroline Petitjean, and Abdelaziz Bensrhair. "Specularity removal: a global energy minimization approach based on polarization imaging". In: Computer Vision and Image Understanding 158 (2017), pp. 31-39.

1. FanWang, Samia Ainouz, Chunfeng Lian, and Abdelaziz Bensrhair. "Multimodality semantic segmentation based on polarization and color images". In: Neurocomputing 253 (2017), pp. 193-200.
 

国际会议(Conferences):

16. Yongheng Sun, Fan Wang*, Jun Shu, Haifeng Wang, Li Wang*, Deyu Meng, Chunfeng Lian*, "Dual Meta-Learning with Longitudinally Consistent Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan", ICCV 2023. (* Co-corresponding authors)

15. Chenyu Xue, Fan Wang*, Yuanzhuo Zhu, Hui Li, Deyu Meng, Dinggang Shen* and Chunfeng Lian*. NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants. In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023). Springer, Cham. 2023. (* Co-corresponding authors)

14. Zehua Ren, Yongheng Sun, Miaomiao Wang, Xianjun Li, Chao Jin, Jian Yang, Chunfeng Lian and Fan Wang. Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning. In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023). Springer, Cham. 2023

13. Chen Shen, Jun Zhang, Xinggong Liang, Zeyi Hao, Kehan Li, Fan Wang*, Zhenyuan Wang* and Chunfeng Lian*. Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning. In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023). Springer, Cham. 2023. (* Co-corresponding authors)

12. Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Li Wang, Weili Lin, Gang Li, Dinggang Shen, and the UNC/UMN Baby Connectome Project Consortium. "Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting". In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2020). Springer, Cham. 2020, pp. 72-82.

11. Ying Huang, Fan Wang, Zhengwang Wu, Zengsi Chen, Han Zhang, Li Wang, Weili Lin, Dinggang Shen, Gang Li, UNC/UMN Baby Connectome Project Consortium, et al. "Construction of Spatiotemporal Infant Cortical Surface Functional Templates". In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2020). Springer, Cham. 2020, pp. 238-248.

10. Chunfeng Lian, Fan Wang, Hannah H Deng, Li Wang, Deqiang Xiao, Tianshu Kuang, Hung-Ying Lin, Jaime Gateno, Steve GF Shen, Pew-Thian Yap, et al. "Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT". In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2020). Springer, Cham. 2020, pp. 807-816.

9. Fan Wang, Chunfeng Lian, Zhengwang Wu, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, and Gang Li. "Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties". In: International Conference on Medical Image Computing and
Computer-Assisted Intervention (MICCAI 2019). Springer. 2019, pp. 841-849.

8. Zengsi Chen, Zhengwang Wu, Liang Sun, Fan Wang, Li Wang, Fenqiang Zhao, Weili Lin, John H Gilmore, Dinggang Shen, and Gang Li. "Construction of 4D Neonatal Cortical Surface Atlases Using Wasserstein Distance". In: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). IEEE. 2019, pp. 995-998.

7. Dingna Duan, Shunren Xia, Zhengwang Wu, Fan Wang, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, and Gang Li. "Cortical Foldingprints for Infant Identification". In: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). IEEE. 2019, pp. 396-399.

6. Jing Xia, Fan Wang, Zhengwang Wu, Li Wang, Yaping Wang, Caiming Zhang, Weili Lin, Dinggang Shen, and Gang Li. "Charting Development Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy". In: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). IEEE. 2019, pp. 422-425.

5. Jing Xia, Caiming Zhang, Fan Wang, Oualid M Benkarim, Gerard Sanroma, Gemma Piella, Miguel A Gonzalez Balleste, Nadine Hahner, Elisenda Eixarch, Dinggang Shen, et al. "Fetal cortical parcellation based on growth patterns". In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). IEEE. 2018, pp. 696-699.

4. Fan Wang, Chunfeng Lian, Jing Xia, Zhengwang Wu, Dingna Duan, Li Wang, Dinggang Shen, and Gang Li. "Construction of spatiotemporal
infant cortical surface atlas of rhesus macaque". In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). IEEE. 2018,
pp. 704-707.4.

3. Fan Wang, Samia Ainouz, Fabrice Meriaudeau, and Abdelaziz Bensrhair. "Polarization-based car detection". In: 2018 25th IEEE International Conference on Image Processing (ICIP 2018). IEEE. 2018, pp. 3069-3073.

2. Fan Wang, Ainouz Samia, Caroline  Petitjean, and Abdelaziz Bensrhair. "Polarization-based specularity removal method with global energy minimization". In: 2016 23rd IEEE International Conference on Image Processing (ICIP 2016). IEEE. 2016, pp. 1983-1987.

1. Fan Wang, Alina Miron, Samia Ainouz, and Abdelaziz Bensrhair. "Post-aggregation stereo matching method using Dempster-Shafer theory". In: 2014 21st IEEE International Conference on Image Processing (ICIP 2014). IEEE. 2014, pp.3783-3787.