韩忠义

   研究方向:医学图像处理

   通讯地址:

   电子邮件:hanzhongyicn(At)gmail.com


 

Zhongyi Han, Hongbo Wu, Benzheng Wei*, Yilong Yin,Shuo Li.  Recursive narrative alignment for movie narrating[J], Science China Information Sciences, volume63, 174101 (2020). https://doi.org/10.1007/s11432-018-9908-4. (Published: 16 September 2019)

• Zhongyi Han, Benzheng Wei, Ashley Mercado, Stephanie Leung, Shuo Li, Spine-GAN: Semantic segmentation of multiple spinal structures [J], Medical Image Analysis, Volume 50, 2018, Pages 23-35, ISSN 1361-8415, DOI:10.1016/j.media.2018.08.005.

• Zhongyi Han, Benzheng Wei, Stephanie Leung, Jonathan Chung, Shuo Li. Towards Automatic Report Generation in Spine Radiology using Weakly Supervised Framework [C], Medical Image Computing and Computer-Assisted Intervention (MICCAI 2018), 21st International Conference, Granada, Spain, September 16–20, 2018,Proceedings, LNCS 11073,Part IV: pp.185–85– 193. DOI:10.1007/978-3-030-00937-3_22.

• Zhongyi Han, Benzheng Wei, Stephanie Leung, IIanit Ben Nachum, David Laidley, Shuo Li. Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning [J], Neuroinformatics, DOI:10.1007/s12021-018-9365-1.

• Zhongyi Han, Benzheng Wei, et al., Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model[J], Scientific Reports (2017). DOI: 10.1038/s41598- 017-04075-z.

• Zhongyi Han, Hongbo Wu, Benzheng, Yilong Yin, Shuo Li, Recursive Narrative Alignment for Movie Narrating, In Journal of SCIENCE CHINA Information Sciences, ISSN 1674-733X, https://doi.org/10.1007/s11432-018-9908-4.

• Yang Ning, Zhongyi Han, Li Zhong, Caiming Zhang, Automated Pancreas Segmentation Using Recurrent Adversarial Learning [C], International Conference on Bioinformatics and Biomedicine (BIBM), 3-6 December 2018, Madrid.

• Benzheng Wei, Zhongyi Han, et al., Deep Learning Model based Breast Cancer Histopathological Image Classification, 2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), Chengdu, China, 2017, pp. 348-353