M. Sharkas

发表

Eigenfaces vs. fisherfaces vs. ICA for face recognition; a comparative study

M. Sharkas, M. Sharkas, M.A. Elenien, 2008, 2008 9th International Conference on Signal Processing.

Fetal Brain Abnormality Classification from MRI Images of Different Gestational Age

M. Sharkas, Omneya Attallah, Heba Gadelkarim, 2019, Brain sciences.

A Bounded Lorentzian Estimation for an Iterative Tomographic Imaging Reconstruction Supported with Lorentzian Regularization

M. Sharkas, A.M. Hassan, O. Omer, 2018 .

MARKOV-BASED BRAIN COMPUTER INTERFACE

M. Sharkas, A. F. Elqady, A. Nasser, 2014 .

A Comparison between Support Vector Machine and Artificial Neural Network for Breast Cancer Detection

Maha Sharkas, Mohamed Al-Sharkawy, M. Sharkas, 2013 .

Edge-Enhancement in Intra Prediction Algorithm for H.264

M. Khedr, M. Sharkas, Abdusalam Z. Adham, 2016 .

Adaptive forward-backward orthogonal matching pursuit for compressed sensing

Mostafa M. Elsherbeny, M. Sharkas, N. Mourad, 2016, 2016 33rd National Radio Science Conference (NRSC).

Ear recognition with ensemble classifiers; A deep learning approach

M. Sharkas, 2022, Multimedia Tools and Applications.

MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networks

Omneya Attallah, Dina A. Ragab, Maha Sharkas, 2020, PeerJ.

An enhanced WiFi indoor localization system based on machine learning

Mohamed Khedr, Ahmed H. Salamah, Mohamed Tamazin, 2016, 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

Deep Learning Techniques for Automatic Detection of Embryonic Neurodevelopmental Disorders

Omneya Attallah, Heba Gadelkarim, Maha A Sharkas, 2020, Diagnostics.

Breast cancer detection using deep convolutional neural networks and support vector machines

Stephen Marshall, Jinchang Ren, Dina A. Ragab, 2019, PeerJ.

Detecting and Classifying Fetal Brain Abnormalities Using Machine Learning Techniques

Maha A. Sharkas, Omneya Attallah, Heba Gadelkarim, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Intelligent Dermatologist Tool for Classifying Multiple Skin Cancer Subtypes by Incorporating Manifold Radiomics Features Categories

M. Sharkas, Omneya Attallah, 2021, Contrast media & molecular imaging.

A classification technique for condensed matter phases using a combination of PCA and SVM

M. Tamazin, M. A. Sharkas, W.K. Badawi, 2017, 2017 Progress In Electromagnetics Research Symposium - Spring (PIERS).

A framework for breast cancer classification using Multi-DCNNs

Stephen Marshall, Jinchang Ren, Omneya Attallah, 2021, Comput. Biol. Medicine.

Breast Cancer Diagnosis Using an Efficient CAD System Based on Multiple Classifiers

Omneya Attallah, Maha Sharkas, Dina A Ragab, 2019, Diagnostics.

A multi-task pipeline with specialized streams for classification and segmentation of infection manifestations in COVID-19 scans

M. Sharkas, S. El-bana, A. Al-Kabbany, 2020, medRxiv.

GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases

Omneya Attallah, Maha A. Sharkas, M. Sharkas, 2021, PeerJ Comput. Sci..

A Two-Stage Framework for Automated Malignant Pulmonary Nodule Detection in CT Scans

Ahmad Al-Kabbany, Shimaa El-Bana, Maha Sharkas, 2020, Diagnostics.

Comprehensive Investigation on Principle Component Large-Scale Wi-Fi Indoor Localization †

Mohamed Khedr, Mohamed Mahmoud, Ahmed H. Salamah, 2019, Sensors.

Wirelesshd Video Transmission Over Multicarrier Error-Correctionchannels

Maha Sharkas, Mohamed Khedr, M. Khedr, 2012 .

Multiple watermark embedding scheme in wavelet-spatial domains based on ROI of medical images

Maha A. Sharkas, Ehab F. Badran, Omneya A. Attallah, 2009, 2009 National Radio Science Conference.

Orthogonal Matching Pursuit with correction

Maha Sharkas, Nasser Mourad, Mostafa M. Elsherbeny, 2016, 2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA).

Iris recognition using discrete wavelet transform and artificial neural networks

Onsy Abdel Alim, Maha Sharkas, M. Sharkas, 2003, 2003 46th Midwest Symposium on Circuits and Systems.

Texture classification of the human iris using artificial neural networks

O. Abdel Alim, M. Sharkas, M. Sharkas, 2002, 11th IEEE Mediterranean Electrotechnical Conference (IEEE Cat. No.02CH37379).

An Image Encryption Based on DNA Coding and 2DLogistic Chaotic Map

Fayza Elamrawy, Maha A Sharkas, Abdel Monem A Nasser, 2018 .

Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform

M. Sharkas, O. Attallah, 2024, Scientific reports.