| Multi-Omics Integration for Liver Cancer Using Regression Analysis A Raj, RC Petreaca, G Mirzaei Current Issues in Molecular Biology 46 (4), 3551-3562, 2024 | | 2024 |
| Performance analysis of data resampling on class imbalance and classification techniques on multi-omics data for cancer classification Y Yang, G Mirzaei Plos one 19 (2), e0293607, 2024 | | 2024 |
| Constructing gene similarity networks using co-occurrence probabilities G Mirzaei BMC genomics 24 (1), 697, 2023 | 1 | 2023 |
| Reinforcement-Learning-Based Localization of Hippocampus for Alzheimer’s Disease Detection A Raj, G Mirzaei Diagnostics 13 (21), 3292, 2023 | 2 | 2023 |
| Multi-armed bandit approach for multi-omics integration A Raj, G Mirzaei 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 1 | 2022 |
| End to End Trained Long Term Recurrent Convolutional Network for Subject-level Alzheimer Detection A Raj, G Mirzaei 2022 56th Asilomar Conference on Signals, Systems, and Computers, 303-306, 2022 | 1 | 2022 |
| GraphChrom: a novel graph-based framework for cancer classification using chromosomal rearrangement endpoints G Mirzaei Cancers 14 (13), 3060, 2022 | 8 | 2022 |
| Machine learning techniques for diagnosis of alzheimer disease, mild cognitive disorder, and other types of dementia G Mirzaei, H Adeli Biomedical Signal Processing and Control 72, 103293, 2022 | 122 | 2022 |
| Distribution of copy number variations and rearrangement endpoints in human cancers with a review of literature G Mirzaei, RC Petreaca Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis 824 …, 2022 | 13 | 2022 |
| A genome-wide profiling of glioma patients with an IDH1 mutation using the catalogue of somatic mutations in cancer database AL Pappula, S Rasheed, G Mirzaei, RC Petreaca, RA Bouley Cancers 13 (17), 4299, 2021 | 26 | 2021 |
| Bird and bat collisions at wind farms G Mirzaei, MM Jamali Utility-scale Wind Turbines and Wind Farms 171, 227, 2021 | | 2021 |
| Ensembles of Convolutional Neural Network Pipelines for Diagnosis of Alzheimer’s Disease G Mirzaei 2021 55th Asilomar Conference on Signals, Systems, and Computers, 583-589, 2021 | 4 | 2021 |
| Parallel Bayesian Belief Network in Building Energy Conservation G Mirzaei, N Mansouri, MM Jamali 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems …, 2019 | | 2019 |
| Segmentation and clustering in brain MRI imaging G Mirzaei, H Adeli Reviews in the Neurosciences 30 (1), 31-44, 2018 | 70 | 2018 |
| Bayesian belief network based occupancy assessment framework MM Jamali, G Mirzaei 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 792-796, 2018 | 5 | 2018 |
| Resting state functional magnetic resonance imaging processing techniques in stroke studies G Mirzaei, H Adeli Reviews in the Neurosciences 27 (8), 871-885, 2016 | 38 | 2016 |
| Imaging and machine learning techniques for diagnosis of Alzheimer’s disease G Mirzaei, A Adeli, H Adeli Reviews in the Neurosciences 27 (8), 857-870, 2016 | 140 | 2016 |
| Data fusion of acoustics, infrared, and marine radar for avian study G Mirzaei, MM Jamali, J Ross, PV Gorsevski, VP Bingman IEEE Sensors Journal 15 (11), 6625-6632, 2015 | 34 | 2015 |
| Mastering AngularJS for. NET Developers MW Majid, G Mirzaei Packt Publishing, 2015 | 2 | 2015 |
| Regularized logistic regression based classification for infrared images G Mirzaei, MM Jamali, PV Gorsevski, J Frizado, VP Bingman 2014 48th Asilomar Conference on Signals, Systems and Computers, 487-490, 2014 | 1 | 2014 |
Mohsin M. JamaliProfessor of Electrical Engineering and Computer Science, The University of ToledoVerified email at utoledo.edu
