| 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 | 374 | 2014 |
| Brain tumor detection using fusion of hand crafted and deep learning features T Saba, AS Mohamed, M El-Affendi, J Amin, M Sharif Cognitive Systems Research 59, 221-230, 2020 | 370 | 2020 |
| 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 | 359 | 2020 |
| Classification of acute lymphoblastic leukemia using deep learning A Rehman, N Abbas, T Saba, SIU Rahman, Z Mehmood, H Kolivand Microscopy Research and Technique 81 (11), 1310-1317, 2018 | 277 | 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 | 271 | 2021 |
| Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges T Saba Journal of Infection and Public Health 13 (9), 1274-1289, 2020 | 263 | 2020 |
| 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 | 260 | 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 | 235 | 2019 |
| Brain tumor detection using statistical and machine learning method J Amin, M Sharif, M Raza, T Saba, MA Anjum Computer methods and programs in biomedicine 177, 69-79, 2019 | 233 | 2019 |
| Energy Efficient Multipath Routing Protocol for Mobile ad-hoc Network Using the Fitness Function A Taha, R Alsaqour, M Uddin, M Abdelhaq, T Saba IEEE Access 5, 10369 - 10381, 2017 | 232 | 2017 |
| CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features MA Khan, T Akram, M Sharif, M Awais, K Javed, H Ali, T Saba Computers and electronics in agriculture 155, 220-236, 2018 | 225 | 2018 |
| 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 | 198 | 2019 |
| 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 | 197 | 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 | 176 | 2020 |
| An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach M Nasir, M Attique Khan, M Sharif, IU Lali, T Saba, T Iqbal Microscopy research and technique 81 (6), 528-543, 2018 | 171 | 2018 |
| Implications of E-learning systems and self-efficiency on students outcomes: a model approach T Saba Human-Centric Computing and Information Sciences 2, 1-11, 2012 | 170 | 2012 |
| 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 | 169 | 2022 |
| Brain tumor detection: a long short-term memory (LSTM)-based learning model J Amin, M Sharif, M Raza, T Saba, R Sial, SA Shad Neural Computing and Applications 32, 15965-15973, 2020 | 163 | 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 | 163 | 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 | 157 | 2020 |
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
