| Differentiating COPD and asthma using quantitative CT imaging and machine learning A Moslemi, K Kontogianni, J Brock, S Wood, F Herth, M Kirby European Respiratory Journal 60 (3), 2022 | 23 | 2022 |
| A tutorial-based survey on feature selection: Recent advancements on feature selection A Moslemi Engineering Applications of Artificial Intelligence 126, 107136, 2023 | 22 | 2023 |
| Comparison of feature selection methods and machine learning classifiers for predicting chronic obstructive pulmonary disease using texture-based CT lung radiomic features K Makimoto, R Au, A Moslemi, JC Hogg, J Bourbeau, WC Tan, M Kirby Academic Radiology 30 (5), 900-910, 2023 | 20 | 2023 |
| Quantitative CT lung imaging and machine learning improves prediction of emergency room visits and hospitalizations in COPD A Moslemi, K Makimoto, WC Tan, J Bourbeau, JC Hogg, HO Coxson, ... Academic Radiology 30 (4), 707-716, 2023 | 17 | 2023 |
| Sparse representation learning using ℓ1− 2 compressed sensing and rank-revealing QR factorization A Moslemi Engineering Applications of Artificial Intelligence 125, 106663, 2023 | 9 | 2023 |
| Subspace learning using structure learning and non-convex regularization: Hybrid technique with mushroom reproduction optimization in gene selection A Moslemi, M Bidar, A Ahmadian Computers in Biology and Medicine 164, 107309, 2023 | 9 | 2023 |
| Dual regularized subspace learning using adaptive graph learning and rank constraint: Unsupervised feature selection on gene expression microarray datasets A Moslemi, A Ahmadian Computers in Biology and Medicine 167, 107659, 2023 | 6 | 2023 |
| CT Medical images denoising based on new wavelet thresholding compared with curvelet and contourlet A Moslemi, A Movafeghi, S Moradi International Journal of Computer and Information Engineering 9 (10), 2167-2172, 2015 | 5 | 2015 |
| Subspace learning via Hessian regularized latent representation learning with -norm constraint: unsupervised feature selection A Moslemi, A Shaygani International Journal of Machine Learning and Cybernetics, 1-20, 2024 | 4 | 2024 |
| Predicting head and neck cancer treatment outcomes using textural feature level fusion of quantitative ultrasound spectroscopic and computed tomography: A machine learning approach A Moslemi, A Safakish, L Sannchi, D Alberico, S Halstead, G Czarnota 2023 IEEE International Ultrasonics Symposium (IUS), 1-4, 2023 | 3 | 2023 |
| COPD and asthma differentiation using quantitative CT biomarkers by hybrid feature selection and machine learning K Kontogianni, A Moslemi, M Kirby, J Brock, F Trudzinski, FJ Herth European Respiratory Journal 58 (suppl 65), 2021 | 3 | 2021 |
| Deep Texture Analysis—Enhancing CT Radiomics Features for Prediction of Head and Neck Cancer Treatment Outcomes: A Machine Learning Approach A Safakish, L Sannachi, A Moslemi, A Pejović-Milić, GJ Czarnota Radiation 4 (1), 50-68, 2024 | 2 | 2024 |
| Comparison of Feature Selection Methods and Machine Learning Classifiers with CT Radiomics-Based Features for Predicting Chronic Obstructive Pulmonary Disease K Makimoto, RC Au, A Moslemi, JC Hogg, J Bourbeau, WC Tan, M Kirby A22. IMAGING AND MOLECULAR BIOMARKERS IN COPD, A1079-A1079, 2022 | 2 | 2022 |
| Subspace learning for feature selection via rank revealing QR factorization: Fast feature selection A Moslemi, A Ahmadian Expert Systems with Applications 256, 124919, 2024 | 1 | 2024 |
| Classifying Future Healthcare Utilization in COPD Using Quantitative CT Lung Imaging and Two-Step Feature Selection via Sparse Subspace Learning with the CanCOLD Study A Moslemi, CJ Hague, JC Hogg, J Bourbeau, WC Tan, M Kirby Academic Radiology, 2024 | 1 | 2024 |
| Classifying chronic obstructive pulmonary disease using computed tomography imaging and 2D and 3D convolutional neural networks S Rezvanjou, A Moslemi, S Peterson, WC Tan, JC Hogg, J Bourbeau, ... Medical Imaging 2024: Clinical and Biomedical Imaging 12930, 154-161, 2024 | 1 | 2024 |
| Subspace Learning for Feature Selection via Rank Revealing QR Factorization: Unsupervised and Hybrid Approaches with Non-negative Matrix Factorization and Evolutionary Algorithm A Moslemi, A Ahmadian arXiv preprint arXiv:2210.00418, 2022 | 1 | 2022 |
| Machine Learning for Predicting Health Care Utilization in COPD using Quantitative CT Imaging A Moslemi, WC Tan, J Bourbeau, JC Hogg, HO Coxson, M Kirby European Respiratory Journal 56 (suppl 64), 2020 | 1 | 2020 |
| Unsupervised feature selection using sparse manifold learning: Auto-encoder approach A Moslemi, M Jamshidi Information Processing & Management 62 (1), 103923, 2025 | | 2025 |
| A Survey on Knowledge Distillation: Recent Advancements A Moslemi, A Briskina, Z Dang, J Li Machine Learning with Applications, 100605, 2024 | | 2024 |
Miranda KirbyAssociate Professor, Toronto Metropolitan University; Affiliate Scientist at St. Michael’s Hospital在 torontomu.ca 的電子郵件地址已通過驗證
