| 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 | 606 | 2018 |
| YOLO-v1 to YOLO-v8, the rise of YOLO and its complementary nature toward digital manufacturing and industrial defect detection M Hussain Machines 11 (7), 677, 2023 | 582 | 2023 |
| 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 | 401 | 2015 |
| 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 | 301 | 2019 |
| Passive copy move image forgery detection using undecimated dyadic wavelet transform G Muhammad, M Hussain, G Bebis Digital investigation 9 (1), 49-57, 2012 | 285 | 2012 |
| 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 | 243 | 2014 |
| 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 | 207 | 2017 |
| 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 | 194 | 2011 |
| 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 | 192 | 2018 |
| 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 | 156 | 2017 |
| 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 | 139 | 2017 |
| 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 | 128 | 2014 |
| Transcriptome reprogramming by cancer exosomes: identification of novel molecular targets in matrix and immune modulation F Qadir, MA Aziz, CP Sari, H Ma, H Dai, X Wang, D Raithatha, ... Molecular cancer 17, 1-16, 2018 | 118 | 2018 |
| 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 | 114 | 2015 |
| 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 | 113 | 2013 |
| Yolov11: An overview of the key architectural enhancements R Khanam, M Hussain arXiv preprint arXiv:2410.17725, 2024 | 112 | 2024 |
| Yolov1 to v8: Unveiling each variant–a comprehensive review of yolo M Hussain IEEE access 12, 42816-42833, 2024 | 106 | 2024 |
| 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 | 105 | 2017 |
| 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 | 97 | 2014 |
| 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 | 94 | 2015 |
Hatim AboalsamhKing Saud UniversityCorreu electrònic verificat a ksu.edu.sa
