| 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 | 353 | 2014 |
| 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 | 296 | 2020 |
| 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 | 280 | 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 | 245 | 2018 |
| 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 | 239 | 2018 |
| 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 | 227 | 2021 |
| 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 | 216 | 2019 |
| 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 | 181 | 2019 |
| 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 | 153 | 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 | 147 | 2019 |
| 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 | 141 | 2020 |
| 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 | 140 | 2018 |
| 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 | 140 | 2015 |
| 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 | 132 | 2020 |
| 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 | 131 | 2021 |
| A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based features selection M Sharif, MA Khan, T Akram, MY Javed, T Saba, A Rehman EURASIP Journal on Image and Video Processing 2017, 1-18, 2017 | 128 | 2017 |
| 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 | 126 | 2020 |
| 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 | 124 | 2017 |
| Neural networks for document image preprocessing: state of the art A Rehman, T Saba Artificial Intelligence Review 42, 253-273, 2014 | 123 | 2014 |
| An innovative technique for contrast enhancement of computed tomography images using normalized gamma-corrected contrast-limited adaptive histogram equalization Z Al-Ameen, G Sulong, A Rehman, A Al-Dhelaan, T Saba, M Al-Rodhaan EURASIP Journal on Advances in Signal Processing 2015 (1), 1-12, 2015 | 122 | 2015 |
Prof. Dr. Mohd Shafry Mohd RahimProfessor of Image Processing at UTM-IRDA Digital Media Centre, UTM (MaGICX)Verified email at utm.my
