| A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues S Band, M Fathi, A Dehzangi, AT Chronopoulos, H Alinejad-Rokny Journal of Biomedical Informatics, 103627, 2021 | 255 | 2021 |
| Proposing a classifier ensemble framework based on classifier selection and decision tree H Parvin, M MirnabiBaboli, H Alinejad-Rokny* Engineering Applications of Artificial Intelligence 37, 34-42, 2016 | 200 | 2016 |
| MKNN: Modified k-nearest neighbor H Parvin, H Alinejad, B Minaei-Bidgoli Proceedings of the world congress on engineering and computer science 1, 2010 | 174 | 2010 |
| Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions A Kalantari, A Kamsin, S S. Band, A Gani, H Alinejad-Rokny, ... Neurocomputing 276, 2-22, 2017 | 147 | 2017 |
| Effects of resampling method and adaptation on clustering ensemble efficacy B Minaei-Bidgoli, H Parvin, H Alinejad-Rokny(SA), H Alizadeh, W Punch Artificial Intelligence Review 41 (1), 27-48, 2012 | 116 | 2012 |
| Four-layer ConvNet to facial emotion recognition with minimal epochs and the significance of data diversity T Debnath, M Reza, A Rahman, A Beheshti, V Bani, H Alinejad-Rokny Nature Scientific Reports 12 (1), 1-18, 2022 | 78 | 2022 |
| Decoding clinical biomarker space of covid-19: Exploring matrix factorization-based feature selection methods F Saberi-Movahed, M Mohammadifard, A Mehrpooya, M Rezaei-Ravari, ... Computers in Biology and Medicine 146, 105426, 2022 | 75 | 2022 |
| CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering D Shaarifrazi, R Alizadehsani, JH Joloudari, V Bani, S Hussain, ZA Sani, ... Mathematical Biosciences and Engineering 19 (3), 2381-2402, 2022 | 68 | 2022 |
| Data weighing mechanisms for clustering ensembles H Parvin, B Minaei-Bidgoli, H Alinejad-Rokny(SA), WF Punch Computers & Electrical Engineering 39 (5), 1433-1450, 2013 | 66 | 2013 |
| A new imbalanced learning and decision tree method for breast cancer diagnosis H Parvin, B Minaei-Bidgoli, H Alinejad-Rokny Journal of Bionanoscience 7 (6), 673-678, 2013 | 63 | 2013 |
| A new classifier ensemble methodology based on subspace learning H Parvin, H Alinejad-Rokny(SA), B Minaei-Bidgoli, S Parvin Journal of Experimental & Theoretical Artificial Intelligence 25 (2), 227-250, 2013 | 63 | 2013 |
| Diagnosis of Brain Diseases in Fusion of Neuroimaging Modalities Using Deep Learning: A Review A Shoeibi, M Khodatars, M Jafari, N Ghassemi, P Moridian, R Alizadesani, ... Information Fusion 93, 85-117, 2023 | 61 | 2023 |
| A data-driven, knowledge-based approach to biomarker discovery: application to circulating microRNA markers of colorectal cancer prognosis F Vafaee, C Diakos, MB Kirschner, G Reid, MZ Michael, LG Horvath, ... NPJ systems biology and applications 4 (1), 20, 2018 | 59 | 2018 |
| Comparison of Fuzzy AHP and Fuzzy TOPSIS methods for plant species selection (case study: reclamation plan of sungun Copper Mine I Alavi, H Alinejad-Rokny | 57 | 2011 |
| An ensemble of locally reliable cluster solutions H Niu, N Khozouie, H Alinejad-Rokny, A Beheshti, M Mahmoudi Applied Sciences 10 (5), 1891, 2020 | 53 | 2020 |
| Source of CpG depletion in the HIV-1 genome H Alinejad-Rokny, F Anwar, SA Waters, MP Davenport, D Ebrahimi Molecular Biology and Evolution 33 (12), 3205-3212, 2016 | 44 | 2016 |
| Text clustering on latent semantic indexing with particle swarm optimization (PSO) algorithm E Hasanzadeh, M Poyan, H Alinejad-Rokny(SA) International Journal of Physical Sciences 7 (1), 16-120, 2012 | 44 | 2012 |
| Proposed a New Method for Rules Extraction Using Artificial Neural Network and Artificial Immune System in Cancer Diagnosis R Javanmard, K Jeddisaravi, H Alinejad-Rokny(SA) Journal of Bionanoscience 7 (6), 665-672, 2013 | 43 | 2013 |
| Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review M Jafari, A Shoeibi, M Khodatars, N Ghassemi, P Moridian, ... Computers in Biology and Medicine 160, 106998, 2023 | 40 | 2023 |
| Consensus function based on cluster-wise two level clustering MR Mahmoudi, H Akbarzadeh, S Nejatian, V Rezaie, H Alinejad-Rokny* Artificial Intelligence Review, 1-27, 2020 | 40 | 2020 |
Diako EbrahimiAssistant Professor, Texas Biomedical Research InstituteVerified email at txbiomed.org
