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Mudassar Raza, PhD, SM-IEEE
Mudassar Raza, PhD, SM-IEEE
Associate Prof: HITEC University Taxila Pakistan. PhD: USTC China
在 hitecuni.edu.pk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Brain tumor detection using statistical and machine learning method
J Amin, M Sharif, M Raza, T Saba, MA Anjum
Computer Methods and Programs in Biomedicine 177, 69-79, 2019
2312019
A Survey of Password Attacks and Comparative Analysis on Methods for Secure Authentication
M Raza, M Iqbal, M Sharif, W Haider
World Applied Sciences Journal 19 (4), 439-444, 2012
1882012
A Survey on Medical Image Segmentation
S Masood, M Sharif, A Masood, M Yasmin, M Raza
Current Medical Imaging Reviews 11 (1), 3-14, 2015
1812015
An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor
M Sharif, J Amin, M Raza, M Yasmin, SC Satapathy
Pattern Recognition Letters 129, 150-157, 2020
1802020
A decision support system for multimodal brain tumor classification using deep learning
KAMR Muhammad Imran Sharif, Muhammad Attique Khan, Musaed Alhussein
Complex & Intelligent Systems, 2021
1792021
Brain tumor detection: a long short-term memory (LSTM)-based learning model
J Amin, M Sharif, M Raza, T Saba, R Sial, SA Shad
Neural Computing and Applications 32, 15965-15973, 2020
1622020
Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition
M Sharif, T Akram, M Raza, T Saba, A Rehman
Applied Soft Computing, 105986, 2020
1612020
Detection of Brain Tumor based on Features Fusion and Machine Learning
J Amin, M Sharif, M Raza, M Yasmin
Journal of Ambient Intelligence and Humanized Computing, 1-17, 2018
1522018
Brain tumor detection by using stacked autoencoders in deep learning
J Amin, M Sharif, N Gul, M Raza, MA Anjum, MW Nisar, SAC Bukhari
Journal of medical systems 44 (2), 1-12, 2020
1492020
Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection
MA Khan, MI Sharif, M Raza, A Anjum, T Saba, SA Shad
Expert Systems, 2019
1432019
A Survey: Face Recognition Techniques under Partial Occlusion
A Azeem, M Sharif, M Raza, M Murtaza
The International Arab Journal of Information Technology (IAJIT) 11, 2014
1262014
An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection
MA Khan, T Akram, M Sharif, K Javed, M Raza, T Saba
Multimedia Tools and Applications 79 (25), 18627-18656, 2020
1242020
Content Based Image Retrieval: Survey
M Rehman, M Iqbal, M Sharif, M Raza
World Applied Sciences Journal 19 (3), 404-412, 2012
1242012
Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features
TB Maryam Nisa, Jamal Hussain Shah, Shansa Kanwal, Mudassar Raza,Muhammad ...
Applied Sciences 10 (4966), 2020
1202020
Brain tumor detection based on extreme learning
M Sharif, J Amin, M Raza, MA Anjum, H Afzal, SA Shad
Neural Computing and Applications 32 (20), 15975-15987, 2020
1102020
Object detection and classification: a joint selection and fusion strategy of deep convolutional neural network and SIFT point features
M Rashid, MA Khan, M Sharif, M Raza, MM Sarfraz, F Afza
Multimedia Tools and Applications, 1-27, 2018
1102018
A Survey: Linear and Nonlinear PCA Based Face Recognition Techniques
J Shah, M Sharif, M Raza, A Azeem
The International Arab Journal of Information Technology (IAJIT) 10 (6), 2013
1102013
Appearance based pedestrians’ gender recognition by employing stacked auto encoders in deep learning
M Raza, M Sharif, M Yasmin, MA Khan, T Saba, SL Fernandes
Future Generation Computer Systems 88, 28-39, 2018
1062018
Fundus image classification methods for the detection of glaucoma: A review
T Saba, STF Bokhari, M Sharif, M Yasmin, M Raza
Microscopy research and technique 81 (10), 1105-1121, 2018
1002018
Brain Tumor Classification: Feature Fusion
J Amin, M Sharif, M Raza, T Saba, A Rehman
2019 International Conference on Computer and Information Sciences (ICCIS), 1-6, 2019
992019
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