| Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection M Sharif, MA Khan, Z Iqbal, MF Azam, MIU Lali, MY Javed Computers and electronics in agriculture 150, 220-234, 2018 | 362 | 2018 |
| An automated detection and classification of citrus plant diseases using image processing techniques: A review Z Iqbal, MA Khan, M Sharif, JH Shah, MH ur Rehman, K Javed Computers and electronics in agriculture 153, 12-32, 2018 | 356 | 2018 |
| 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 |
| Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images MI Sharif, JP Li, MA Khan, MA Saleem Pattern Recognition Letters 129, 181-189, 2020 | 232 | 2020 |
| 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 | 226 | 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 |
| 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 | 198 | 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 | 180 | 2019 |
| A citrus fruits and leaves dataset for detection and classification of citrus diseases through machine learning HT Rauf, BA Saleem, MIU Lali, MA Khan, M Sharif, SAC Bukhari Data in brief 26, 104340, 2019 | 179 | 2019 |
| A framework for offline signature verification system: Best features selection approach M Sharif, MA Khan, M Faisal, M Yasmin, SL Fernandes Pattern Recognition Letters 139, 50-59, 2020 | 168 | 2020 |
| Skin lesion segmentation and multiclass classification using deep learning features and improved moth flame optimization MA Khan, M Sharif, T Akram, R Damaševičius, R Maskeliūnas Diagnostics 11 (5), 811, 2021 | 164 | 2021 |
| Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework MA Khan, T Akram, YD Zhang, M Sharif Pattern Recognition Letters 143, 58-66, 2021 | 161 | 2021 |
| 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 | 159 | 2018 |
| An optimized method for segmentation and classification of apple diseases based on strong correlation and genetic algorithm based feature selection MA Khan, MIU Lali, M Sharif, K Javed, K Aurangzeb, SI Haider, ... IEEE Access 7, 46261-46277, 2019 | 157 | 2019 |
| 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 |
| Human action recognition using fusion of multiview and deep features: an application to video surveillance MA Khan, K Javed, SA Khan, T Saba, U Habib, JA Khan, AA Abbasi Multimedia tools and applications, 1-27, 2020 | 144 | 2020 |
| A Decision Support System for Multimodal Brain Tumor Classification using Deep Learning MI Sharif, MA Khan*, M Alhussein, K Aurangzeb, M Raza Complex & Intelligent Systems, 1-26, 2021 | 142 | 2021 |
| 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 | 140 | 2020 |
| 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 90, 106960, 2021 | 131 | 2021 |
Seifedine Kadry, Fellow IETNoroff University CollegeVerified email at noroff.no
