| A distinctive approach in brain tumor detection and classification using MRI J Amin, M Sharif, M Yasmin, SL Fernandes Pattern Recognition Letters 139, 118-127, 2020 | 402 | 2020 |
| 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 | 351 | 2020 |
| Big data analysis for brain tumor detection: Deep convolutional neural networks J Amin, M Sharif, M Yasmin, SL Fernandes Future Generation Computer Systems 87, 290-297, 2018 | 291 | 2018 |
| Brain tumor detection using statistical and machine learning method MAA Javaria Amin, Muhammad Sharif, MudassarRaza ,Tanzila Saba Computer Methods and Programs in Biomedicine Volume 177, August 2019, Pages …, 2019 | 229* | 2019 |
| Brain tumor classification based on DWT fusion of MRI sequences using convolutional neural network J Amin, M Sharif, N Gul, M Yasmin, SA Shad Pattern Recognition Letters 129, 115-122, 2020 | 214 | 2020 |
| Brain tumor detection and classification using machine learning: a comprehensive survey J Amin, M Sharif, A Haldorai, M Yasmin, RS Nayak Complex & intelligent systems 8 (4), 3161-3183, 2022 | 208 | 2022 |
| An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor M Sharif, J Amin, M Raza, M Yasmin, SC Satapathy Pattern Recognition Letters 129, 150-157, 2020 | 176 | 2020 |
| A method for the detection and classification of diabetic retinopathy using structural predictors of bright lesions J Amin, M Sharif, M Yasmin, H Ali, SL Fernandes Journal of Computational Science 19, 153-164, 2017 | 160 | 2017 |
| 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 | 156 | 2020 |
| Detection of brain tumor based on features fusion and machine learning J Amin, M Sharif, M Raza, M Yasmin Journal of Ambient Intelligence and Humanized Computing, 1-17, 2018 | 152 | 2018 |
| Brain tumor detection by using stacked autoencoders in deep learning J Amin, M Sharif, N Gul, M Raza, MA Anjum, MW Nisar, SAC Bukhari Journal of medical systems 44, 1-12, 2020 | 142 | 2020 |
| A new approach for brain tumor segmentation and classification based on score level fusion using transfer learning J Amin, M Sharif, M Yasmin, T Saba, MA Anjum, SL Fernandes Journal of medical systems 43, 1-16, 2019 | 136 | 2019 |
| Integrated design of deep features fusion for localization and classification of skin cancer J Amin, A Sharif, N Gul, MA Anjum, MW Nisar, F Azam, SAC Bukhari Pattern Recognition Letters 131, 63-70, 2020 | 114 | 2020 |
| A review on recent developments for detection of diabetic retinopathy J Amin, M Sharif, M Yasmin Scientifica 2016, 2016 | 114 | 2016 |
| Brain tumor detection based on extreme learning M Sharif, J Amin, M Raza, MA Anjum, H Afzal, SA Shad Neural Computing and Applications 32, 15975-15987, 2020 | 103 | 2020 |
| Brain tumor classification: feature fusion J Amin, M Sharif, M Raza, T Saba, A Rehman 2019 international conference on computer and information sciences (ICCIS), 1-6, 2019 | 96 | 2019 |
| Quantum Machine Learning Architecture for COVID-19 Classification based on Synthetic Data Generation using Conditional Adversarial Neural Network (CGAN) J Amin Cognitive Computation, 2021 | 87 | 2021 |
| Convolutional neural network with batch normalization for glioma and stroke lesion detection using MRI J Amin, M Sharif, MA Anjum, M Raza, SAC Bukhari Cognitive Systems Research 59, 304-311, 2020 | 79 | 2020 |
| An improved framework for brain tumor analysis using MRI based on YOLOv2 and convolutional neural network MI Sharif, JP Li, J Amin, A Sharif Complex & Intelligent Systems 7, 2023-2036, 2021 | 77 | 2021 |
| Use of machine intelligence to conduct analysis of human brain data for detection of abnormalities in its cognitive functions J Amin, M Sharif, M Yasmin, T Saba, M Raza Multimedia Tools and Applications 79, 10955-10973, 2020 | 69 | 2020 |
Muhammad SharifProfessor, Department of Computer Science, COMSATS University Islamabad, Wah CampusE-mail confirmado em ciitwah.edu.pk
