| 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, Elsevier 155, 220 - 236, 2018 | 236* | 2018 |
| 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 | 221 | 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 | 216 | 2021 |
| Brain Tumor Detection and Classification: A Framework of Marker-based Watershed Algorithm and Multi-level Priority Features Selection A MA, IUL Khan, R Amjad, I Mubashar, S Muhammad, T ..., Akram Microscopy Research and Techniques, Wiley 1 (1), 1-31, 2019 | 212 | 2019 |
| An Optimized Method for Segmentation and Classification of Apple Diseases based on Strong Correlation and Genetic Algorithm based Feature Selection MA Attique, L Ikram, ..., T Akram IEEE Access 1 (1), 1-31, 2019 | 208* | 2019 |
| Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition M Attique, M Sharif, T Akram, M Raza, T Saba, A Rehman Applied Soft Computing, 105986, 2019 | 177* | 2019 |
| Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine MA Khan, S Kadry, Z Yu-Dong, T Akram, M Sharif, ... Computer and Electrical Engineering 1 (2), 1-27, 2020 | 148 | 2020 |
| Pixels to Classes: Intelligent Learning Framework for Multiclass Skin Lesion Localization an Classification MA Khan, Z YuDong, M Sharif, T Akram Computer and Electrical Engineering 1 (1), 1-20, 2021 | 142 | 2021 |
| Developed Newton-Raphson based deep features selection framework for skin lesion recognition MA Khan, M Sharif, T Akram, SAC Bukhari, RS Nayak Pattern Recognition Letters 129, 293-303, 2020 | 136 | 2020 |
| 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 | 133 | 2017 |
| Multi-Class Skin Lesion Detection and Classification via Teledermatology MA Khan, K Muhammad, M Sharif, T Akram IEEE Journal of Biomedical and Health Informatics 1 (1), 1-8, 2021 | 131 | 2021 |
| An Automated System for Cucumber Leaf Diseased Spot Detection and Classification using Improved Saliency Method and Deep Features Selection MA Khan, T Akram, M Sharif, K Javed, M Raza Multimedia Tools and Applications 1 (1), 1-21, 2020 | 130 | 2020 |
| License number plate recognition system using entropy-based features selection approach with SVM MA Khan, M Sharif, MY Javed, T Akram, M Yasmin, T Saba IET Image Processing 12 (2), 200-209, 2018 | 128 | 2018 |
| An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification MA Khan, T Akram, M Sharif, A Shahzad, K Aurangzeb, M Alhussein, ... BMC cancer 18 (1), 638, 2018 | 125 | 2018 |
| Lungs nodule detection framework from computed tomography images using support vector machine SA Khan, M Nazir, MA Khan, T Saba, K Javed, A Rehman, T Akram, ... Microscopy research and technique, Wiley, 2019 | 117 | 2019 |
| LSTM neural network based forecasting model for wheat production in Pakistan SA Haider, SR Naqvi, T Akram, GA Umar, A Shahzad, MR Sial, S Khaliq, ... Agronomy 9 (2), 72, 2019 | 115 | 2019 |
| Construction of Saliency Map and Hybrid Set of Features for Efficient Segmentation and Classification of Skin Lesion K Muhammad, A, T Akram, M Sharif, T Saba, K Javed, I Lali, J Tanik, U, ... Microscopy Research Techniques, Wiley 1 (1), 1-23, 2019 | 115* | 2019 |
| A new statistical features based approach for bearing fault diagnosis using vibration signals M Altaf, T Akram, MA Khan, M Iqbal, MMI Ch, CH Hsu Sensors 22 (5), 2012, 2022 | 111 | 2022 |
| Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features S Aziz, M U Khan, M Alhaisoni, T Akram, M Altaf Sensors 20 (3790), 1-20, 2020 | 107 | 2020 |
| An implementation of optimized framework for action classification using multilayers neural network on selected fused features MA Khan, T Akram, M Sharif, MY Javed, N Muhammad, M Yasmin Pattern Analysis and Applications 22, 1377-1397, 2019 | 107 | 2019 |
Muhammad Attique Khan, (PhD) MIEEECenter of Artificial Intelligence, Dept. of Computer Science, Prince Mohammad bin Fahd University在 pmu.edu.sa 的電子郵件地址已通過驗證