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Muhammad Hussain
Muhammad Hussain
Professor, Department of Computer Science, King Saud University
Verified email at ksu.edu.sa - Homepage
Title
Cited by
Cited by
Year
An automated system for epilepsy detection using EEG brain signals based on deep learning approach
IhsanUllah, M Hussain, Emad-ul-HaqQazi, H Aboalsamh
Expert Systems with Applications 107, 61-71, 2018
5522018
Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques
HU Amin, AS Malik, RF Ahmad, N Badruddin, N Kamel, M Hussain, ...
Australasian physical & engineering sciences in medicine 38, 139-149, 2015
3432015
Passive copy move image forgery detection using undecimated dyadic wavelet transform
G Muhammad, M Hussain, G Bebis
Digital investigation 9 (1), 49-57, 2012
2742012
Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey
N Asiri, M Hussain, FA Adel, N Alzaidi
Artificial Intelligence In Medicine 99, 2019
2542019
Image forgery detection using steerable pyramid transform and local binary pattern
G Muhammad, MH Al-Hammadi, M Hussain, G Bebis
Machine Vision and Applications 25, 985-995, 2014
2382014
Electroencephalogram (EEG)-based computer-aided technique to diagnose major depressive disorder (MDD)
W Mumtaz, L Xia, SSA Ali, MAM Yasin, M Hussain, AS Malik
Biomedical Signal Processing and Control 31, 108-115, 2017
1782017
A comparison of SVM kernel functions for breast cancer detection
M Hussain, SK Wajid, A Elzaart, M Berbar
2011 eighth international conference computer graphics, imaging and …, 2011
1772011
A comprehensive review of phytochemical profile, bioactives for pharmaceuticals, and pharmacological attributes of Azadirachta indica
S Saleem, G Muhammad, MA Hussain, SNA Bukhari
Phytotherapy research 32 (7), 1241-1272, 2018
1522018
Passive detection of image forgery using DCT and local binary pattern
A Alahmadi, M Hussain, H Aboalsamh, G Muhammad, G Bebis, ...
Signal, Image and Video Processing 11, 81-88, 2017
1472017
Copy-move and splicing image forgery detection and localization techniques: a review
K Asghar, Z Habib, M Hussain
Australian Journal of Forensic Sciences 49 (3), 281-307, 2017
1322017
Enhancing SVM performance in intrusion detection using optimal feature subset selection based on genetic principal components
I Ahmad, M Hussain, A Alghamdi, A Alelaiwi
Neural computing and applications 24, 1671-1682, 2014
1242014
Splicing Image Forgery Detection Based on DCT and Local Binary Pattern
AA Alahmadi, M Hussain, H Aboalsamh, G Muhammad, G Bebis
Global Conference on Signal and Information Processing (GlobalSIP), 2013 …, 2013
1072013
P300 correlates with learning & memory abilities and fluid intelligence
HU Amin, AS Malik, N Kamel, WT Chooi, M Hussain
Journal of neuroengineering and rehabilitation 12, 1-14, 2015
1052015
A comparison of different Gabor feature extraction approaches for mass classification in mammography
S Khan, M Hussain, H Aboalsamh, G Bebis
Multimedia Tools and Applications 76, 33-57, 2017
1002017
Accurate and robust localization of duplicated region in copy–move image forgery
M Jaberi, G Bebis, M Hussain, G Muhammad
Machine vision and applications 25, 451-475, 2014
922014
Protein and oil composition of sesame seeds (Sesamum indicum, L.) grown in the Gizan area of Saudi Arabia
AH Bahkali, MA Hussain, AY Basahy
International journal of food sciences and nutrition 49 (6), 409-414, 1998
901998
Gender recognition from face images with local wld descriptor
I Ullah, M Hussain, G Muhammad, H Aboalsamh, G Bebis, AM Mirza
2012 19th international conference on systems, signals and image processing …, 2012
882012
Gender Stereotyping in Family: An Institutionalized and Normative Mechanism in Pakhtun Society of Pakistan
M Hussain, A Naz, W Khan, U Daraz, Q Khan
Sage Open 5 (3), 2158244015595258, 2015
722015
Blind copy move image forgery detection using dyadic undecimated wavelet transform
G Muhammad, M Hussain, K Khawaji, G Bebis
2011 17th International Conference on Digital Signal Processing (DSP), 1-6, 2011
692011
Optimized Gabor features for mass classification in mammography
S Khan, M Hussain, H Aboalsamh, H Mathkour, G Bebis, M Zakariah
Applied Soft Computing 44, 267-280, 2016
682016
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