Taban Eslami
According to our database1,
Taban Eslami
authored at least 9 papers
between 2017 and 2021.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2021
DeepCOVIDNet: Deep Convolutional Neural Network for COVID-19 Detection from Chest Radiographic Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey.
Frontiers Neuroinformatics, 2020
Explainable and Scalable Machine-Learning Algorithms for Detection of Autism Spectrum Disorder using fMRI Data.
CoRR, 2020
2019
ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data.
Frontiers Neuroinformatics, 2019
GPU-DFC: A GPU-Based Parallel Algorithm for Computing Dynamic-Functional Connectivity of Big fMRI Data.
Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019
Auto-ASD-Network: A Technique Based on Deep Learning and Support Vector Machines for Diagnosing Autism Spectrum Disorder using fMRI Data.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
2018
GPU-DAEMON: GPU algorithm design, data management & optimization template for array based big omics data.
Comput. Biol. Medicine, 2018
Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018
2017
GPU-PCC: A GPU Based Technique to Compute Pairwise Pearson's Correlation Coefficients for Big fMRI Data.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017