Milad Makkie

According to our database, Milad Makkie authored at least 14 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs).

Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu

IEEE Trans. Cogn. Dev. Syst., 2020

2019

A Distributed Computing Platform for fMRI Big Data Analytics.

Milad Makkie, Xiang Li, Shannon Quinn, Binbin Lin, Jieping Ye, Geoffrey Mon, Tianming Liu

IEEE Trans. Big Data, 2019

Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics.

Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu

Neurocomputing, 2019

2018

A distributed cloud-based platform for FMRI big data analytics.

Milad Makkie

PhD thesis, 2018

Modeling Task fMRI Data Via Deep Convolutional Autoencoder.

Heng Huang, Xintao Hu, Yu Zhao, Milad Makkie, Qinglin Dong, Shijie Zhao, Lei Guo, Tianming Liu

IEEE Trans. Medical Imaging, 2018

Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN).

Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder.

Yu Zhao, Qinglin Dong, Hanbo Chen, Armin Iraji, Yujie Li, Milad Makkie, Zhifeng Kou, Tianming Liu

Medical Image Anal., 2017

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.

Milad Makkie, Xiang Li, Binbin Lin, Jieping Ye, Mojtaba Sedigh Fazli, Tianming Liu, Shannon Quinn

CoRR, 2017

Template-guided Functional Network Identification via Supervised Dictionary Learning.

Yu Zhao, Xiang Li, Milad Makkie, Shannon Quinn, Binbin Lin, Jieping Ye, Tianming Liu

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Modeling Task fMRI Data via Deep Convolutional Autoencoder.

Heng Huang, Xintao Hu, Milad Makkie, Qinglin Dong, Yu Zhao, Junwei Han, Lei Guo, Tianming Liu

Proceedings of the Information Processing in Medical Imaging, 2017

2016

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

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Implementing dictionary learning in Apache Flink, Or: How I learned to relax and love iterations.

Geoffrey Mon, Milad Makkie, Xiang Li, Tianming Liu, Shannon Quinn

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.

Milad Makkie, Xiang Li, Tianming Liu, Shannon Quinn, Binbin Lin, Jieping Ye

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

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