Paper Publications
- 1.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
- 2.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
- 3.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
- 4.王欢,gebao,董庆林,刘天明,张欣,Task FMRI Guided Fiber Clustering Via A Deep Clustering Method:IEEE 17th internationnal symposium on biomedical imaging,2020.4.2,无:1420-1423
- 5.强宁,gebao,董庆林,葛芳菲,刘天明,Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data:MICCAI2019 WORKSHOP MMMI2019,2019.10.15,无:26-34
- 6.葛宝,刘天明,王欢,王盼盼,田茵,张欣,Discovering and Characterizing Dynamic Functional Brain Networks in Task FMRI:Brain Imaging and Behavior,2019.4.22,14(2):1-14
- 7.葛宝,刘天明,李响,蒋希,孙奕菲,A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data:Frontiers in Neuroinformatics,2018.4.12,12(2):1-13
- 8.葛宝,刘天明,张枢,张薇,李响,MiladMakkie,王今,赵世杰,蒋希,韩军伟,郭雷,吕晶磊,Signal Sampling for Efficient Sparse Representation of Resting State FMRI Data:Brain Imaging and Behavior,2016.12.1,10(4):1206-1222
- 9.赵世杰,刘天明,韩军伟,蒋希,胡新韬,吕晶磊,张枢,郭雷,Exploring Auditory Network Composition During Free Listening to Audio Excerpts Via Group-wise Spare Representation:IEEE International Conference on Multimedia and Expo,2016.8.25,2016(无):1-6
- 10.赵瑜,刘天明,陈汉博,李玉洁,吕晶磊,蒋希,葛芳菲,张拓,张枢,吕程,赵世杰,韩军伟,郭雷,Connectome-scale Group-wise Consistent Resting-state Network Analysis in Autism Spectrum Disorder:NeuroImage-Clinical,2016.6.7,12(无):23-33
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