| Modeling task fMRI data via deep convolutional autoencoder H Huang, X Hu, Y Zhao, M Makkie, Q Dong, S Zhao, L Guo, T Liu IEEE transactions on medical imaging 37 (7), 1551-1561, 2017 | 220 | 2017 |
| Modeling 4D fMRI data via spatio-temporal convolutional neural networks (ST-CNN) Y Zhao, X Li, W Zhang, S Zhao, M Makkie, M Zhang, Q Li, T Liu Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 55 | 2018 |
| Four-dimensional modeling of fmri data via spatio–temporal convolutional neural networks (st-cnns) Y Zhao, X Li, H Huang, W Zhang, S Zhao, M Makkie, M Zhang, Q Li, T Liu IEEE transactions on cognitive and developmental systems 12 (3), 451-460, 2019 | 51 | 2019 |
| Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics M Makkie, H Huang, Y Zhao, AV Vasilakos, T Liu Neurocomputing 325, 20-30, 2019 | 39 | 2019 |
| Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder Y Zhao, Q Dong, H Chen, A Iraji, Y Li, M Makkie, Z Kou, T Liu Medical image analysis 42, 200-211, 2017 | 38 | 2017 |
| Scalable fast rank-1 dictionary learning for fMRI big data analysis X Li, M Makkie, B Lin, M Sedigh Fazli, I Davidson, J Ye, T Liu, S Quinn Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 22 | 2016 |
| A distributed computing platform for fMRI big data analytics M Makkie, X Li, S Quinn, B Lin, J Ye, G Mon, T Liu IEEE transactions on big data 5 (2), 109-119, 2018 | 21 | 2018 |
| Signal sampling for efficient sparse representation of resting state FMRI data TL Bao Ge, Milad Makkie, Jin Wang, Shijie Zhao, Xi Jiang, Xiang Li, Jinglei ... Brain Imaging and Behavior, 1-17, 2015 | 18* | 2015 |
| HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI) M Makkie, S Zhao, X Jiang, J Lv, Y Zhao, B Ge, X Li, J Han, T Liu Brain informatics 2, 225-238, 2015 | 17 | 2015 |
| Davidson. I X Li, M Makkie, B Lin, M Sedigh Fazli Ye, J., et al, 511-519, 2016 | 7 | 2016 |
| & Quinn, S.(2016) X Li, M Makkie, B Lin, MS Fazli, I Davidson, J Ye Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis, 0 | 5 | |
| Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics M Makkie, X Li, T Liu, S Quinn, B Lin, J Ye 2016 IEEE International Conference on Big Data (Big Data), 3396-3403, 2016 | 3 | 2016 |
| Template-guided functional network identification via supervised dictionary learning Y Zhao, X Li, M Makkie, S Quinn, B Lin, J Ye, T Liu 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 72-76, 2017 | 2 | 2017 |
| Implementing dictionary learning in Apache Flink, Or: How I learned to relax and love iterations G Mon, M Makkie, X Li, T Liu, S Quinn 2016 IEEE International Conference on Big Data (Big Data), 2363-2367, 2016 | 2 | 2016 |
| Operational Alarm Prediction K Moon, M Makkie, M Burd, P Nordh prior art database, 2021 | | 2021 |
| A distributed cloud-based platform for FMRI big data analytics. M Makkie University of Georgia, Athens, GA, USA, 2018 | | 2018 |
| A cloud-based distributed deep learning platform for neuroimaging bigdata analytics M Makkie, T Liu Conference on Neural Information Processing Systems, Med-Nips Workshop, 2017 | | 2017 |
