Amjad Rehman, PhD, IEEE Senior Member
Amjad Rehman, PhD, IEEE Senior Member
Prince Sultan University , Riyadh Saudi Arabia
Verified email at
Cited by
Cited by
Medical image segmentation methods, algorithms, and applications
A Norouzi, MSM Rahim, A Altameem, T Saba, AE Rad, A Rehman, ...
IETE Technical Review 31 (3), 199-213, 2014
A deep learning approach for automated diagnosis and multi-class classification of Alzheimer’s disease stages using resting-state fMRI and residual neural networks
F Ramzan, MUG Khan, A Rehmat, S Iqbal, T Saba, A Rehman, ...
Journal of medical systems 44, 1-16, 2020
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
Classification of acute lymphoblastic leukemia using deep learning
A Rehman, N Abbas, T Saba, SI Rahman, Z Mehmood, H Kolivand
Microscopy Research and Technique 81 (11), 1310-1317, 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
Brain tumor segmentation in multi‐spectral MRI using convolutional neural networks (CNN)
S Iqbal, MU Ghani, T Saba, A Rehman
Microscopy research and technique 81 (4), 419-427, 2018
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
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
Anomaly-based intrusion detection system for IoT networks through deep learning model
T Saba, A Rehman, T Sadad, H Kolivand, SA Bahaj
Computers and Electrical Engineering 99, 107810, 2022
Secure and energy-efficient framework using Internet of Medical Things for e-healthcare
T Saba, K Haseeb, I Ahmed, A Rehman
Journal of Infection and Public Health 13 (10), 1567-1575, 2020
A revisit of internet of things technologies for monitoring and control strategies in smart agriculture
A Rehman, T Saba, M Kashif, SM Fati, SA Bahaj, H Chaudhry
Agronomy 12 (1), 127, 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
Skin cancer detection from dermoscopic images using deep learning and fuzzy k‐means clustering
M Nawaz, Z Mehmood, T Nazir, RA Naqvi, A Rehman, M Iqbal, T Saba
Microscopy research and technique 85 (1), 339-351, 2022
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
Detection of copy-move image forgery based on discrete cosine transform
MH Alkawaz, G Sulong, T Saba, A Rehman
Neural Computing and Applications 30, 183-192, 2018
Content-based image retrieval using PSO and k-means clustering algorithm
ZS Younus, D Mohamad, T Saba, MH Alkawaz, A Rehman, ...
Arabian Journal of Geosciences 8, 6211-6224, 2015
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
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, 106960, 2021
Detecting pneumonia using convolutions and dynamic capsule routing for chest X-ray images
A Mittal, D Kumar, M Mittal, T Saba, I Abunadi, A Rehman, S Roy
Sensors 20 (4), 1068, 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
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