Muhammad Attique Khan, (PhD) MIEEE
Muhammad Attique Khan, (PhD) MIEEE
HITEC University Taxila; Lebanese American University
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion
K Jabeen, MA Khan, M Alhaisoni, U Tariq, YD Zhang, A Hamza, A Mickus, ...
Sensors 22 (3), 2022
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
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
A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics
MA Azam, KB Khan, S Salahuddin, E Rehman, SA Khan, MA Khan, ...
Computers in biology and medicine 144, 105253, 2022
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
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 83 (5), 14885-14911, 2024
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
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