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2020 – today
- 2020
[j6]Yu Zhao
, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs). IEEE Trans. Cogn. Dev. Syst. 12(3): 451-460 (2020)
2010 – 2019
- 2019
- [j5]Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu:
Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics. Neurocomputing 325: 20-30 (2019) - [j4]Milad Makkie, Xiang Li, Shannon Quinn, Binbin Lin, Jieping Ye, Geoffrey Mon, Tianming Liu:
A Distributed Computing Platform for fMRI Big Data Analytics. IEEE Trans. Big Data 5(2): 109-119 (2019) - 2018
- [b1]Milad Makkie:
A distributed cloud-based platform for FMRI big data analytics. University of Georgia, Athens, GA, USA, 2018 - [j3]Heng Huang, Xintao Hu, Yu Zhao, Milad Makkie, Qinglin Dong, Shijie Zhao, Lei Guo, Tianming Liu:
Modeling Task fMRI Data Via Deep Convolutional Autoencoder. IEEE Trans. Medical Imaging 37(7): 1551-1561 (2018) - [c6]Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). MICCAI (3) 2018: 181-189 - [i3]Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). CoRR abs/1805.12564 (2018) - 2017
- [j2]Yu Zhao, Qinglin Dong, Hanbo Chen, Armin Iraji, Yujie Li, Milad Makkie, Zhifeng Kou, Tianming Liu:
Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder. Medical Image Anal. 42: 200-211 (2017) - [c5]Heng Huang, Xintao Hu, Milad Makkie, Qinglin Dong, Yu Zhao, Junwei Han, Lei Guo, Tianming Liu:
Modeling Task fMRI Data via Deep Convolutional Autoencoder. IPMI 2017: 411-424 - [c4]Yu Zhao, Xiang Li, Milad Makkie, Shannon Quinn, Binbin Lin, Jieping Ye, Tianming Liu:
Template-guided Functional Network Identification via Supervised Dictionary Learning. ISBI 2017: 72-76 - [i2]Milad Makkie, Xiang Li, Binbin Lin, Jieping Ye, Mojtaba Sedigh Fazli, Tianming Liu, Shannon Quinn:
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics. CoRR abs/1708.02638 (2017) - [i1]Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu:
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics. CoRR abs/1710.08961 (2017) - 2016
- [c3]Geoffrey Mon, Milad Makkie, Xiang Li, Tianming Liu, Shannon Quinn:
Implementing dictionary learning in Apache Flink, Or: How I learned to relax and love iterations. IEEE BigData 2016: 2363-2367 - [c2]Milad Makkie, Xiang Li, Tianming Liu, Shannon Quinn, Binbin Lin, Jieping Ye:
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics. IEEE BigData 2016: 3396-3403 - [c1]Xiang Li, Milad Makkie, Binbin Lin, Mojtaba Sedigh Fazli, Ian Davidson, Jieping Ye, Tianming Liu, Shannon Quinn:
Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis. KDD 2016: 511-519 - 2015
- [j1]Milad Makkie, Shijie Zhao, Xi Jiang, Jinglei Lv, Yu Zhao, Bao Ge, Xiang Li, Junwei Han, Tianming Liu:
HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI). Brain Informatics 2(4): 225-238 (2015)
Coauthor Index
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