Ayman El-Baz

Precise segmentation of multimodal images.

Automatic cerebrovascular segmentation by accurate probabilistic modeling of TOF-MRA images.

Quantitative nodule detection in low dose chest CT scans: new template modeling and evaluation for CAD system design.

2D and 3D shape based segmentation using deformable models.

A new CAD system for the evaluation of kidney diseases using DCE-MRI.

A novel approach for image alignment using a Markov-Gibbs appearance model.

A new adaptive probabilistic model of blood vessels for segmenting MRA images.

Appearance models for robust segmentation of pulmonary nodules in 3D LDCT chest images.

New motion correction models for automatic identification of renal transplant rejection.

Autism diagnostics by 3D texture analysis of cerebral white matter gyrifications.

Effects of low frequency repetitive transcranial magnetic stimulation (rTMS) on gamma frequency oscillations and event-related potentials during processing of illusory figures in autism.

Reduced gyral window and corpus callosum size in autism: possible macroscopic correlates of a minicolumnopathy.

Event-related potential study of novelty processing abnormalities in autism.

Increased white matter gyral depth in dyslexia: implications for corticocortical connectivity.

Minicolumnar width: Comparison between supragranular and infragranular layers.

A topographic study of minicolumnar core width by lamina comparison between autistic subjects and controls: possible minicolumnar disruption due to an anatomical element in-common to multiple laminae.

Attentional Bias to Drug- and Stress-Related Pictorial Cues in Cocaine Addiction Comorbid with PTSD.

Low-frequency repetitive transcranial magnetic stimulation (rTMS) affects event-related potential measures of novelty processing in autism.

Robust medical images segmentation using learned shape and appearance models.

Toward early diagnosis of lung cancer.

A novel 3D joint Markov-Gibbs model for extracting blood vessels from PC-MRA images.

Impaired Error Monitoring and Correction Function in Autism.

Accurate automated detection of autism related corpus callosum abnormalities.

Non-invasive image-based approach for early detection of acute renal rejection.

Neurofeedback Effects on Evoked and Induced EEG Gamma Band Reactivity to Drug-related Cues in Cocaine Addiction.

Low-Frequency Repetitive Transcranial Magnetic Stimulation (rTMS) Modulates Evoked-Gamma Frequency Oscillations in Autism Spectrum Disorder (ASD).

Elastic phantoms generated by microfluidics technology: validation of an imaged-based approach for accurate measurement of the growth rate of lung nodules.

Quantitative analysis of the shape of the corpus callosum in patients with autism and comparison individuals.

3D shape analysis for early diagnosis of malignant lung nodules.

3D kidney segmentation from CT images using a level set approach guided by a novel stochastic speed function.

Accurate automatic analysis of cardiac cine images.

New automated Markov-Gibbs random field based framework for myocardial wall viability quantification on agent enhanced cardiac magnetic resonance images.

Laws of conservation as related to brain growth, aging, and evolution: symmetry of the minicolumn.

A multi-scale non-linear vessel enhancement technique.

Prefrontal neuromodulation using rTMS improves error monitoring and correction function in autism.

Dyslexia diagnostics by 3-D shape analysis of the corpus callosum.

Corpus Callosum Shape Analysis with Application to Dyslexia.

Gyral window mapping of typical cortical folding using MRI.

Spherical harmonic analysis of cortical complexity in autism and dyslexia.

Precise segmentation of 3-D magnetic resonance angiography.

INDUCED EEG GAMMA OSCILLATION ALIGNMENT IMPROVES DIFFERENTIATION BETWEEN AUTISM AND ADHD GROUP RESPONSES IN A FACIAL CATEGORIZATION TASK.

Single trial time-frequency domain analysis of error processing in post-traumatic stress disorder.

A novel approach for global lung registration using 3D Markov-Gibbs appearance model.

EVENT-RELATED POTENTIAL STUDY OF ATTENTION REGULATION DURING ILLUSORY FIGURE CATEGORIZATION TASK IN ADHD, AUTISM SPECTRUM DISORDER, AND TYPICAL CHILDREN.

Computer-aided diagnosis systems for lung cancer: challenges and methodologies.

Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans.

Lung imaging data analysis.

A comprehensive non-invasive framework for automated evaluation of acute renal transplant rejection using DCE-MRI.

Neurofeedback training aimed to improve focused attention and alertness in children with ADHD: a study of relative power of EEG rhythms using custom-made software application.

Cardiac cell culture model as a left ventricle mimic for cardiac tissue generation.

Myocardial borders segmentation from cine MR images using bidirectional coupled parametric deformable models.

Focal cortical dysplasias in autism spectrum disorders.

Local Wavelet-Based Filtering of Electromyographic Signals to Eliminate the Electrocardiographic-Induced Artifacts in Patients with Spinal Cord Injury.

Repetitive Transcranial Magnetic Stimulation (rTMS) Modulates Event-Related Potential (ERP) Indices of Attention in Autism.

rTMS neuromodulation improves electrocortical functional measures of information processing and behavioral responses in autism.

Neuromodulation integrating rTMS and neurofeedback for the treatment of autism spectrum disorder: an exploratory study.

Fully automated framework for the analysis of myocardial first-pass perfusion MR images.

Effects of weekly low-frequency rTMS on autonomic measures in children with autism spectrum disorder.

Models and methods for analyzing DCE-MRI: a review.

Effects of physiologic mechanical stimulation on embryonic chick cardiomyocytes using a microfluidic cardiac cell culture model.

Intramyocardial strain estimation from cardiac cine MRI.

Behavioral, Cognitive, and Motor Preparation Deficits in a Visual Cued Spatial Attention Task in Autism Spectrum Disorder.

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans.

Relative Power of Specific EEG Bands and Their Ratios during Neurofeedback Training in Children with Autism Spectrum Disorder.

Studying Autism Spectrum Disorder with Structural and Diffusion Magnetic Resonance Imaging: A Survey.

Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm.

A computer-aided diagnostic system for detecting diabetic retinopathy in optical coherence tomography images.

A comprehensive non-invasive framework for diagnosing prostate cancer.

3D Kidney Segmentation from Abdominal Images Using Spatial-Appearance Models.

Machine Learning Applications in Medical Image Analysis.

Automatic blood vessels segmentation based on different retinal maps from OCTA scans.

Classification of retinal diseases based on OCT Images.

Alzheimer's disease diagnostics by a 3D deeply supervised adaptable convolutional network.

Medical imaging diagnosis of early Alzheimer's disease.

An automated approach for early detection of diabetic retinopathy using SD-OCT images.

Statistical analysis of ADCs and clinical biomarkers in detecting acute renal transplant rejection.

Automated framework for accurate segmentation of pressure ulcer images.

A novel approach for automatic visualization and activation detection of evoked potentials induced by epidural spinal cord stimulation in individuals with spinal cord injury.

Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm.

A fast stochastic framework for automatic MR brain images segmentation.

Automated diabetic retinopathy detection using optical coherence tomography angiography: a pilot study.

A Novel Early Diagnosis System for Mild Cognitive Impairment Based on Local Region Analysis: A Pilot Study.

Retracted: Early diabetic retinopathy diagnosis based on local retinal blood vessels analysis in optical coherence tomography angiography (OCTA) images.

Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers.

Neuroimmunologic and Neurotrophic Interactions in Autism Spectrum Disorders: Relationship to Neuroinflammation.

Risk factors of neonatal mortality and child mortality in Bangladesh.

Deep Learning Role in Early Diagnosis of Prostate Cancer.

Classification of pressure ulcer tissues with 3D convolutional neural network.

3D kidney segmentation from abdominal diffusion MRI using an appearance-guided deformable boundary.

Automated Diagnosis and Grading of Diabetic Retinopathy Using Optical Coherence Tomography.

Early diabetic retinopathy diagnosis based on local retinal blood vessel analysis in optical coherence tomography angiography (OCTA) images.

Progress in Automated Deep Learning for Macular Degeneration.

A Generalized Deep Learning-Based Diagnostic System for Early Diagnosis of Various Types of Pulmonary Nodules.

Using resting state functional MRI to build a personalized autism diagnosis system.

A Deep Learning-Based Approach for the Detection and Localization of Prostate Cancer in T2 Magnetic Resonance Images.

Hemodynamic Stimulation Using the Biomimetic Cardiac Tissue Model (BCTM) Enhances Maturation of Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes.

A Novel CNN-Based CAD System for Early Assessment of Transplanted Kidney Dysfunction.

Targeted Gold Nanoparticle⁻Oligonucleotide Contrast Agents in Combination with a New Local Voxel-Wise MRI Analysis Algorithm for In Vitro Imaging of Triple-Negative Breast Cancer.

Novel stochastic framework for automatic segmentation of human thigh MRI volumes and its applications in spinal cord injured individuals.

Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.

Automated framework for accurate segmentation of leaf images for plant health assessment.

Physiological Biomimetic Culture System for Pig and Human Heart Slices.

A Personalized Autism Diagnosis CAD System Using a Fusion of Structural MRI and Resting-State Functional MRI Data.

A Novel Framework for Early Detection of Hypertension using Magnetic Resonance Angiography.

Neurophysiological markers predicting recovery of standing in humans with chronic motor complete spinal cord injury.

A novel computer-aided diagnosis system for the early detection of hypertension based on cerebrovascular alterations.

Automated diagnosis of diabetic retinopathy using clinical biomarkers, optical coherence tomography (OCT), and OCT angiography.

A Multimodal Computer-Aided Diagnostic System for Precise Identification of Renal Allograft Rejection: Preliminary Results.