| A deep learning approach for automated diagnosis and multi-class classification of Alzheimer’s disease stages using resting-state fMRI and residual neural networks F Ramzan, MUG Khan, A Rehmat, S Iqbal, T Saba, A Rehman, ... Journal of medical systems 44, 1-16, 2020 | 441 | 2020 |
| Medical image segmentation methods, algorithms, and applications A Norouzi, MSM Rahim, A Altameem, T Saba, AE Rad, A Rehman, ... IETE Technical Review 31 (3), 199-213, 2014 | 404 | 2014 |
| Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists MA Khan, I Ashraf, M Alhaisoni, R Damaševičius, R Scherer, A Rehman, ... Diagnostics 10 (8), 565, 2020 | 390 | 2020 |
| Classification of acute lymphoblastic leukemia using deep learning A Rehman, N Abbas, T Saba, SI Rahman, Z Mehmood, H Kolivand Microscopy Research and Technique 81 (11), 1310-1317, 2018 | 329 | 2018 |
| Anomaly-based intrusion detection system for IoT networks through deep learning model T Saba, A Rehman, T Sadad, H Kolivand, SA Bahaj Computers and Electrical Engineering 99, 107810, 2022 | 318 | 2022 |
| Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture A Rehman, MA Khan, T Saba, Z Mehmood, U Tariq, N Ayesha Microscopy Research and Technique 84 (1), 133-149, 2021 | 316 | 2021 |
| Brain tumor segmentation in multi‐spectral MRI using convolutional neural networks (CNN) S Iqbal, MU Ghani, T Saba, A Rehman Microscopy research and technique 81 (4), 419-427, 2018 | 284 | 2018 |
| Region extraction and classification of skin cancer: A heterogeneous framework of deep CNN features fusion and reduction T Saba, MA Khan, A Rehman, SL Marie-Sainte Journal of medical systems 43 (9), 289, 2019 | 267 | 2019 |
| A revisit of internet of things technologies for monitoring and control strategies in smart agriculture A Rehman, T Saba, M Kashif, SM Fati, SA Bahaj, H Chaudhry Agronomy 12 (1), 127, 2022 | 254 | 2022 |
| Brain tumor detection and classification: A framework of marker‐based watershed algorithm and multilevel priority features selection MA Khan, IU Lali, A Rehman, M Ishaq, M Sharif, T Saba, S Zahoor, ... Microscopy research and technique 82 (6), 909-922, 2019 | 216 | 2019 |
| Skin cancer detection from dermoscopic images using deep learning and fuzzy k‐means clustering M Nawaz, Z Mehmood, T Nazir, RA Naqvi, A Rehman, M Iqbal, T Saba Microscopy research and technique 85 (1), 339-351, 2022 | 211 | 2022 |
| Secure and energy-efficient framework using Internet of Medical Things for e-healthcare T Saba, K Haseeb, I Ahmed, A Rehman Journal of Infection and Public Health 13 (10), 1567-1575, 2020 | 198 | 2020 |
| Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition MA Khan, M Sharif, T Akram, M Raza, T Saba, A Rehman Applied Soft Computing 87, 105986, 2020 | 180 | 2020 |
| Multi-model deep neural network based features extraction and optimal selection approach for skin lesion classification MA Khan, MY Javed, M Sharif, T Saba, A Rehman 2019 international conference on computer and information sciences (ICCIS), 1-7, 2019 | 176 | 2019 |
| Detection of copy-move image forgery based on discrete cosine transform MH Alkawaz, G Sulong, T Saba, A Rehman Neural Computing and Applications 30, 183-192, 2018 | 155 | 2018 |
| A sustainable deep learning framework for object recognition using multi-layers deep features fusion and selection M Rashid, MA Khan, M Alhaisoni, SH Wang, SR Naqvi, A Rehman, ... Sustainability 12 (12), 5037, 2020 | 153 | 2020 |
| Detecting pneumonia using convolutions and dynamic capsule routing for chest X-ray images A Mittal, D Kumar, M Mittal, T Saba, I Abunadi, A Rehman, S Roy Sensors 20 (4), 1068, 2020 | 152 | 2020 |
| Content-based image retrieval using PSO and k-means clustering algorithm ZS Younus, D Mohamad, T Saba, MH Alkawaz, A Rehman, ... Arabian Journal of Geosciences 8, 6211-6224, 2015 | 150 | 2015 |
| Prediction of COVID-19-Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine MA Khan, S Kadry, YD Zhang, T Akram, M Sharif, A Rehman, T Saba Computers & Electrical Engineering, 106960, 2021 | 149 | 2021 |
| Computer-assisted brain tumor type discrimination using magnetic resonance imaging features S Iqbal, MUG Khan, T Saba, A Rehman Biomedical Engineering Letters, 1-24, 2017 | 146 | 2017 |
Prof. Dr. Mohd Shafry Mohd RahimProfessor of Image Processing at UTM-IRDA Digital Media Centre, UTM (MaGICX)在 utm.my 的电子邮件经过验证
