Paper Publications
- 1.王嘉琪,张枢,刘振梁,赵麟,吴子豪,马冲,余斯刚,戴海星,杨秋实,刘宜衡,张松瑶,史恩泽,潘毅,张拓,朱大江,蒋希,李响,gebao,沈定刚,Tianming Liu,Review of Large Vision Models and Vsual Prompt Engineering:Meta-Radiology,2023.11.23,1(3):100047
- 2.康子力,gebao,吕怡帆,贺孟申,刘宜衡,Tianming Liu,Brain Surface Can Predict Fiber Connections:IEEE 20th International Symposium on Biomedical Imaging (ISBI),2023.9.5,无:1-4
- 3.刘正梁,贺孟申,姜作伟,吴子豪,戴海星,张练,罗思一,韩甜乐,李响,蒋希,朱大江,蔡晓妍,gebao,刘伟,刘军,沈定刚,刘天明,自然语言处理在医学影像分析中的应用:中南大学学报,2022.11.1,47(8):981-993
- 4.Saed Rezayi,李胜,刘正梁,吴子豪,Chandra Dhakal,gebao,甄辰,刘天明,AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition:Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22),2022.10.1,31:5150-5156
- 5.qiangning,yuehuiji,董庆林,lianghongtao,lijin,张枢,张成,gebao,sunyifei,gaojie,刘天明,赵世杰,Learning brain representation using recurrent Wasserstein generative adversarial net:Computer Methods and Programs in Biomedicine,2022.7.3,223:106979
- 6.qiangning,gaojie,董庆林,lianghongtao,gebao,张枢,张成,sunyifei,A novel ADHD classification method based on resting state temporal templates (RSTT) using spatiotemporal attention auto-encoder:Neural Computing and Applications,2022.1.15,2022.1.16:2022.1.16
- 7.强宁,高洁,孙奕菲,张成,张葳,刘天明,董庆林,梁洪涛,gebao,张枢,Modeling and augmenting of fMRI data using deep recurrent variational auto-encoder:Journal of Neural Engineering,2021.7.6,2021:0460b6
- 8.强宁,高洁,董庆林,葛芳菲,梁洪涛,gebao,张枢,孙奕菲,刘天明,Deep Variational Autoencoder for Mapping Functional Brain Networks:IEEE Transactions on Cognitive and Developmental Systems,2020.9.23,2020:1
- 9.强宁,高洁,梁洪涛,孙奕菲,刘天明,gebao,葛芳菲,董庆林,张葳,Modeling Task-based fMRI Data via Deep Belief Network with Neural Architecture Search:Computerized Medical Imaging and Graphics,2020.6.4,83(/):101747
- 10.强宁,gebao,孙奕菲,刘天明,董庆林,DEEP VARIATIONAL AUTOENCODER FOR MODELING FUNCTIONAL BRAIN NETWORKS AND ADHD IDENTIFICATION:2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI),2020.4.6,无:554-557
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