| ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data T Eslami, V Mirjalili, A Fong, A Laird, F Saeed Frontiers in Neuroinformatics 13, 70, 2019 | 275 | 2019 |
| Auto-ASD-network: a technique based on deep learning and support vector machines for diagnosing autism spectrum disorder using fMRI data T Eslami, F Saeed Proceedings of the 10th ACM International Conference on Bioinformatics …, 2019 | 76 | 2019 |
| Machine learning methods for diagnosing autism spectrum disorder and attention-deficit/hyperactivity disorder using functional and structural MRI: a survey T Eslami, F Almuqhim, JS Raiker, F Saeed Frontiers in neuroinformatics 14, 575999, 2021 | 67 | 2021 |
| GPU-PCC: a GPU based technique to compute pairwise Pearson's correlation coefficients for big fMRI data T Eslami, MG Awan, F Saeed Proceedings of the 8th ACM international conference on bioinformatics …, 2017 | 33 | 2017 |
| Similarity based classification of ADHD using singular value decomposition T Eslami, F Saeed Proceedings of the 15th ACM International Conference on Computing Frontiers …, 2018 | 31 | 2018 |
| Explainable and scalable machine learning algorithms for detection of autism spectrum disorder using fMRI data T Eslami, JS Raiker, F Saeed Neural engineering techniques for autism spectrum disorder, 39-54, 2021 | 21 | 2021 |
| GPU-DAEMON: GPU algorithm design, data management & optimization template for array based big omics data MG Awan, T Eslami, F Saeed Computers in biology and medicine 101, 163-173, 2018 | 13 | 2018 |
| Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics T Eslami, F Saeed | 7 | 2019 |
| Auto-AsD-Network: A technique based on deep learning and support vector machines for diagnosing autism spectrum disorder using fMRI data. ACM-BCB 2019-Proceedings of the 10th … T Eslami, F Saeed Auto-ASD-Network: A Technique Based on Deep Learning and Support Vector …, 2019 | 5 | 2019 |
| Deepcovidnet: Deep convolutional neural network for covid-19 detection from chest radiographic images KM Ahmed, T Eslami, F Saeed, MH Amini 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 4 | 2021 |
| GPU-DFC: A GPU-based parallel algorithm for computing dynamic-functional connectivity of big f MRI data T Eslami, F Saeed Proceedings of the Fifth IEEE International Conference On Big Data Service …, 2019 | 2 | 2019 |
| High Performance and Machine Learning Algorithms for Brain fMRI Data T Eslami Western Michigan University, 2020 | | 2020 |
| Fast-GPU-PCC: a GPU-based technique to compute pairwise Pearson's correlation coefficients for time series data-fMRI study E Taban, S Fahad High-throughput 7 (2), 11, 2018 | | 2018 |
| GPU-PCC: a GPU based technique to compute pairwise Pearson's correlation coefficients for big fMRI data T Eslami, MG Awan, F Saeed Proceedings of the 8th ACM International Conference on Bioinformatics …, 2017 | | 2017 |
| Particle Swarm Optimization using aging mechanism and competition among particles T Eslami 1st National Conference on Meta-Heuristic Algorithms and Their Applications …, 2014 | | 2014 |
Fahad SaeedAssociate Professor of Computing & Medicine, Florida International University (FIU)Verifisert e-postadresse på fiu.edu
