Search Results - "Kadah, Yasser M"

Alzheimer's disease diagnosis from diffusion tensor images using convolutional neural networks by Marzban, Eman N, Eldeib, Ayman M, Yassine, Inas A, Kadah, Yasser M

“…Machine learning algorithms are currently being implemented in an escalating manner to classify and/or predict the onset of some neurodegenerative diseases;…”
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A Hybrid Deep Transfer Learning of CNN-Based LR-PCA for Breast Lesion Diagnosis via Medical Breast Mammograms by Samee, Nagwan Abdel, Alhussan, Amel A., Ghoneim, Vidan Fathi, Atteia, Ghada, Alkanhel, Reem, Al-antari, Mugahed A., Kadah, Yasser M.

“…One of the most promising research areas in the healthcare industry and the scientific community is focusing on the AI-based applications for real medical…”
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Deep Learning Cascaded Feature Selection Framework for Breast Cancer Classification: Hybrid CNN with Univariate-Based Approach by Samee, Nagwan Abdel, Atteia, Ghada, Meshoul, Souham, Al-antari, Mugahed A, Kadah, Yasser M

“…With the help of machine learning, many of the problems that have plagued mammography in the past have been solved. Effective prediction models need many…”
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Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal by Tripathi, Pragati, Ansari, M.A., Gandhi, Tapan Kumar, Heyat, Md Belal Bin, Akhtar, Faijan, Ukwuoma, Chiagoziem C., Muaad, Abdullah Y., Mehrotra, Rajat, Kadah, Yasser M., Al-Antari, Mugahed A., Li, Jian Ping

“…Insomnia is a common sleep disorder in which patients cannot sleep properly. Accurate detection of insomnia disorder is a crucial step for disease analysis in…”
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BCNet: A Deep Learning Computer-Aided Diagnosis Framework for Human Peripheral Blood Cell Identification by Chola, Channabasava, Muaad, Abdullah Y, Bin Heyat, Md Belal, Benifa, J V Bibal, Naji, Wadeea R, Hemachandran, K, Mahmoud, Noha F, Samee, Nagwan Abdel, Al-Antari, Mugahed A, Kadah, Yasser M, Kim, Tae-Seong

“…Blood cells carry important information that can be used to represent a person's current state of health. The identification of different types of blood cells…”
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Gait Impairment Analysis Using Silhouette Sinogram Signals and Assisted Knowledge Learning by Al-Masni, Mohammed A, Marzban, Eman N, Al-Shamiri, Abobakr Khalil, Al-Antari, Mugahed A, Alabdulhafith, Maali Ibrahim, Mahmoud, Noha F, Abdel Samee, Nagwan, Kadah, Yasser M

“…The analysis of body motion is a valuable tool in the assessment and diagnosis of gait impairments, particularly those related to neurological disorders. In…”
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Spectral Subtraction Denoising Preprocessing Block to Improve Slow Cortical Potential Based Brain–Computer Interface by Makary, Meena M., Bu-Omer, Hani M., Soliman, Ramy S., Park, Kyungmo, Kadah, Yasser M.

“…The measured electroencephalographic (EEG) signals used in brain–computer interface (BCI) are usually contaminated with several additive random and…”
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Spectral subtraction denoising preprocessing block to improve P300-based brain-computer interfacing by Alhaddad, Mohammed J, Kamel, Mahmoud I, Makary, Meena M, Hargas, Hani, Kadah, Yasser M

“…The signals acquired in brain-computer interface (BCI) experiments usually involve several complicated sampling, artifact and noise conditions. This mandated…”
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An Automatic Computer-Aided Diagnosis System for Breast Cancer in Digital Mammograms via Deep Belief Network by Al-antari, Mugahed A., Al-masni, Mohammed A., Park, Sung-Un, Park, JunHyeok, Metwally, Mohamed K., Kadah, Yasser M., Han, Seung-Moo, Kim, Tae-Seong

“…Computer-aided diagnosis (CAD) offers assistance to radiologists in the interpretation of medical images. A CAD system learns the nature of different tissues…”
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Deconvolution-interpolation gridding (DING): Accurate reconstruction for arbitrary k-space trajectories by Gabr, Refaat E., Aksit, Pelin, Bottomley, Paul A., Youssef, Abou-Bakr M., Kadah, Yasser M.

“…A simple iterative algorithm, termed deconvolution‐interpolation gridding (DING), is presented to address the problem of reconstructing images from…”
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Parallel Computation in Medical Imaging Applications by Kadah, Yasser M., Abd-Elmoniem, Khaled Z., Farag, Aly A.

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Real-time speckle reduction and coherence enhancement in ultrasound imaging via nonlinear anisotropic diffusion by Abd-Elmoniem, K.Z., Youssef, A.-B.M., Kadah, Y.M.

“…This paper presents a novel approach for speckle reduction and coherence enhancement of ultrasound images based on nonlinear coherent diffusion (NCD) model…”
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Progressive magnetic resonance image reconstruction based on iterative solution of a sparse linear system by Kadah, Yasser M, Fahmy, Ahmed S, Gabr, Refaat E, Heberlein, Keith, Hu, Xiaoping P

“…Image reconstruction from nonuniformly sampled spatial frequency domain data is an important problem that arises in computed imaging. Current reconstruction…”
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Study of features based on nonlinear dynamical modeling in ECG arrhythmia detection and classification by Owis, M.I., Abou-Zied, A.H., Youssef, A.-B.M., Kadah, Y.M.

“…We present a study of the nonlinear dynamics of electrocardiogram (ECG) signals for arrhythmia characterization. The correlation dimension and largest Lyapunov…”
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Construction of gene regulatory networks using biclustering and Bayesian networks by Alakwaa, Fadhl M, Solouma, Nahed H, Kadah, Yasser M

“…Understanding gene interactions in complex living systems can be seen as the ultimate goal of the systems biology revolution. Hence, to elucidate disease…”
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Detection of biomarkers for hepatocellular carcinoma using a hybrid univariate gene selection methods by Abdel Samee, Nagwan M, Solouma, Nahed H, Kadah, Yasser M

“…Discovering new biomarkers has a great role in improving early diagnosis of Hepatocellular carcinoma (HCC). The experimental determination of biomarkers needs…”
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Prediction of binding peptides to class I Major Histocompatibility Complex using modified scoring matrices and data splitting strategies by Salem, Dina A, Abul Seoud, Rania A, Kadah, Yasser M

“…Abstract Predicting peptides that can bind to MHC class I molecules is an important step in the vaccine design process. Computational approaches have potential…”
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Adaptive denoising of event-related functional magnetic resonance imaging data using spectral subtraction by Kadah, Y.M.

“…A new adaptive signal-preserving technique for noise suppression in event-related functional magnetic resonance imaging (fMRI) data is proposed based on…”
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Improving the prediction of yeast protein function using weighted protein-protein interactions by Ahmed, Khaled S, Saloma, Nahed H, Kadah, Yasser M

“…Bioinformatics can be used to predict protein function, leading to an understanding of cellular activities, and equally-weighted protein-protein interactions…”
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Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images by Kadah, Y.M., Farag, A.A., Zurada, J.M., Badawi, A.M., Youssef, A.-B.M.

“…Visual criteria for diagnosing diffused liver diseases from ultrasound images can be assisted by computerized tissue classification. Feature extraction…”
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