Muhammad Attique Khan, (PhD) MIEEE
Muhammad Attique Khan, (PhD) MIEEE
Department of Computer Science, HITEC University Taxila
Verified email at - Homepage
Cited by
Cited by
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
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
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
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), 1-19, 2019
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
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
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
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
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
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
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), 1-18, 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
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
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
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 (4), 1377-1397, 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
Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection
A Majid, MA Khan, M Yasmin, A Rehman, A Yousafzai, U Tariq
Microscopy research and technique 83 (5), 562-576, 2020
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
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
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 82 (8), 1256-1266, 2019
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