Milad Makkie

Mr. Milad Makkie

Ph.D Student

Research Interests: Medical Image Analysis, Data Analysis, Network and infrastructure Analysis, Telemedicine.




1. Template-guided Functional Network Identification via Supervised Dictionary Learning Yu Zhao, Xiang LI, Milad Makkie, Shannon Quinn, Binbin Lin, Jieping Ye, Tianming Liu ISBI, 2017. PDF
2. Implementing Dictionary Learning in Apache Flink, Or: How I Learned to Relax and Love Iterations Geoffrey Mon, Milad Makkie, Xiang Li, Tianming Liu and Shannon Quinn IEEE International Conference on Big Data, 2016. PDF
3. Distributed Rank-1 Dictionary Learning: Towards Fast and Scalable Solutions for fMRI Big Data Analytics Milad Makkie, Xiang Li, Tianming Liu, Shannon Quinn IEEE International Conference on Big Data, 2016. PDF
4. Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis Xiang Li, Milad Makkie, Binbin Lin, Mojtaba Sedigh Fazli, Ian Davidson, Jieping Ye, Tianming Liu, Shannon Quinn KDD, 2016. PDF
5. Signal sampling for efficient sparse representation of resting state FMRI data Bao Ge, Milad Makkie, Jin Wang, Shijie Zhao, Xi Jiang, Xiang Li, Jinglei Lv, Shu Zhang, Wei Zhang, Junwei Han, Lei Guo, Tianming Liu Brain Imaging and Behavior, 2015. in press PDF
6. HAFNI-Enabled Largescale Platform for Neuroimaging Informatics (HELPNI) Milad Makkie, Shijie Zhao, Xi Jiang, Jinglei Lv, Yu Zhao, Bao Ge, Xiang Li, Junwei Han, Tianming Liu Brain Informatics, 2015. vol. 2(4), pp. 1-17. PDF