Ayman El-Baz

According to our database1, Ayman El-Baz authored at least 240 papers between 2003 and 2020.

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Bibliography

2020
A Sensorless Rotational Speed-Based Control System for Continuous Flow Left Ventricular Assist Devices.
IEEE Trans. Biomed. Engineering, 2020

A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images.
Comput. Medical Imaging Graph., 2020

Accurate Detection of Non-Proliferative Diabetic Retinopathy in Optical Coherence Tomography Images Using Convolutional Neural Networks.
IEEE Access, 2020

2019
Computer-Aided Diagnostic System for Early Detection of Acute Renal Transplant Rejection Using Diffusion-Weighted MRI.
IEEE Trans. Biomed. Engineering, 2019

A Deep Learning-Based Approach for the Detection and Localization of Prostate Cancer in T2 Magnetic Resonance Images.
J. Digital Imaging, 2019

Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.
Comput. Methods Programs Biomed., 2019

Level sets-based image segmentation approach using statistical shape priors.
Appl. Math. Comput., 2019

Chronic Wound Healing Assessment System Based on Different Features Modalities and Non-Negative Matrix Factorization (NMF) Feature Reduction.
IEEE Access, 2019

Vegetation Cover Estimation Using Convolutional Neural Networks.
IEEE Access, 2019

Retinal Layers OCT Scans 3-D Segmentation.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

A New System for Lung Cancer Diagnosis based on the Integration of Global and Local CT Features.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Computer-Aided Diagnosis of Acute Myocardial Infarction using Time-Dependent Plasma Metabolites.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

A CAD System for the Early Prediction of Hypertension based on Changes in Cerebral Vasculature.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

A Machine Learning Approach for Grading Autism Severity Levels Using Task-based Functional MRI.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

A Deep Learning-Based Approach for Accurate Segmentation of Bladder Wall using MR Images.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

A CNN-Based Framework for Automatic Vitreous Segemntation from OCT Images.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Chronic Wound Healing Assessment System Based on Color and Texture Analysis.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Diabetic Retinopathy Grading Using 3D Multi-path Convolutional Neural Network Based on Fusing Features from OCTA Scans, Demographic, and Clinical Biomarkers.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Autism Spectrum Disorder Diagnosis framework using Diffusion Tensor Imaging.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

A Local/Regional Based CAD System for Early Diagnosis of Alzheimer's Disease Using sMRI Scans.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Deep Learning Based Method for Computer Aided Diagnosis of Diabetic Retinopathy.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Automatic Segmentation and Functional Assessment of the Left Ventricle using U-net Fully Convolutional Network.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

An Accurate System for Prostate Cancer Localization from Diffusion-Weighted MRI.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Radiomic-Based Framework for Early Diagnosis of Lung Cancer.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Detecting Prostate Cancer Using A CNN-Based System Without Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Diabetic Retinopathy Early Detection Based on OCT and OCTA Feature Fusion.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Early Assessment of Renal Transplants Using BOLD-MRI: Promising Results.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A Novel CT-Based Descriptors for Precise Diagnosis of Pulmonary Nodules.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Detecting and Localizing Prostate Cancer from Diffusion-Weighted Magnetic Resonance Imaging.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Early Signs Detection of Diabetic Retinopathy Using Optical Coherence Tomography Angiography Scans Based on 3D Multi-Path Convolutional Neural Network.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Classification of pressure ulcer tissues with 3D convolutional neural network.
Med. Biol. Engineering and Computing, 2018

Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers.
J. Medical Systems, 2018

Identifying Personalized Autism Related Impairments Using Resting Functional MRI and ADOS Reports.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A Novel CAD System for Detecting Acute Rejection of Renal Allografts Based on Integrating Imaging-markers and Laboratory Biomarkers.
Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

Computer-Aided Diagnosis of Prostate Cancer on Diffusion Weighted Imaging: A Technical Review.
Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

A New Fast Framework for Early Detection of Prostate Cancer Without Prostate Segmentation.
Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

A Novel MRA-Based Framework For Detecting Correlation Between Cerebrovascular Changes and Mean Arterial Pressure.
Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

An OCTA Based Diagnosis System Based on a Comprehensive Local Features Analysis for Early Diabetic Retinopathy Detection.
Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

A Cortical Based Diagnosis System for MCI Based on sMRI Features Fusion.
Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

A Review on the Cerebrovascular Segmentation Methods.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

Early Assessment of Acute Renal Rejection Post-transplantation: A Combined Imaging and Clinical Biomarkers Protocol.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

On The Integration of CT-Derived Features for Accurate Detection of Lung Cancer.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

Automated Staging of Diabetic Retinopathy Using a 2D Convolutional Neural Network.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

A Computer-Aided System for Prostate Cancer Diagnosis.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

Athlete-Customized Injury Prediction using Training Load Statistical Records and Machine Learning.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

A Sensorless non-linear Control algorithm for Continuous Flow Right Ventricular Assist Devices.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

Using 3-D CNNs and Local Blood Flow Information to Segment Cerebral Vasculature.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

MRI Markers for Early Assessment of Bladder Cancer: A Review.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

Diabetic Retinopathy Early Detection Based on OCT and OCTA Feature Fusion.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

Towards Accurate Personalized Autism Diagnosis Using Different Imaging Modalities: sMRI, fMRI, and DTI.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

Gold Nanoparticles Conjugate Cancer-Targeting Aptamer and Gadolinium Chelate for MR Cancer Imaging.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

Adaptive Window for Automatic Classification- Based Segmentation of Multimodal Brain Tumor.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

A Significant Regional-based Diagnosis System for Early Detection of Alzheimer's Disease Using sMRI Scans.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

A Novel Fully Automated CAD System for Left Ventricle Volume Estimation.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

Predictive Biomarkers for Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer: A survey.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

A new CNN-based system for early diagnosis of prostate cancer.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

A novel MRA framework based on integrated global and local analysis for accurate segmentation of the cerebral vascular system.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

An integrated framework for automatic clinical assessment of diabetic retinopathy grade using spectral domain OCT images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Using resting state functional MRI to build a personalized autism diagnosis system.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

A Novel ADCs-Based CNN Classification System for Precise Diagnosis of Prostate Cancer.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

An Automated Classification Framework for Pressure Ulcer Tissues Based on 3D Convolutional Neural Network.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Early Diagnosis of Diabetic Retinopathy in OCTA Images Based on Local Analysis of Retinal Blood Vessels and Foveal Avascular Zone.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Towards Personalized Autism Diagnosis: Promising Results.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Significant Region-Based Framework for Early Diagnosis of Alzheimer's Disease Using 11C PiB-PET Scans.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

A New 3D CNN-based CAD System for Early Detection of Acute Renal Transplant Rejection.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

A Novel CNN Segmentation Framework Based on Using New Shape and Appearance Features.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

An Innovative 3D Adaptive Patient-Related Atlas for Automatic Segmentation of Retina Layers from Oct Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Role of Integrating Diffusion Mr Image-Markers with Clinical-Biomarkers For Early Assessment of Renal Transplants.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Novel Autoencoder-Based Diagnostic System for Early Assessment of Lung Cancer.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Tissues Classification for Pressure Ulcer Images Based on 3D Convolutional Neural Network.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Fuzzy Membership-Driven Level Set for Automatic Kidney Segmentation from DCE-MRI.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

A 2.5D Deep Learning-Based Approach for Prostate Cancer Detection on T2-Weighted Magnetic Resonance Imaging.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Accurate Lungs Segmentation on CT Chest Images by Adaptive Appearance-Guided Shape Modeling.
IEEE Trans. Med. Imaging, 2017

Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm.
Comput. Methods Programs Biomed., 2017

3D Kidney Segmentation from Abdominal Images Using Spatial-Appearance Models.
Comput. Math. Methods Medicine, 2017

Machine Learning Applications in Medical Image Analysis.
Comput. Math. Methods Medicine, 2017

A comprehensive non-invasive framework for diagnosing prostate cancer.
Comp. in Bio. and Med., 2017

Automated framework for accurate segmentation of pressure ulcer images.
Comp. in Bio. and Med., 2017

Automatic blood vessels segmentation based on different retinal maps from OCTA scans.
Comp. in Bio. and Med., 2017

Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm.
Comp. in Bio. and Med., 2017

Segmentation of Abdominal Aortic Aneurysm (AAA) Based on Topology Prior Model.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

A Novel Automatic Segmentation Method to Quantify the Effects of Spinal Cord Injury on Human Thigh Muscles and Adipose Tissue.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

A generalized MRI-based CAD system for functional assessment of renal transplant.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

A novel CAD system for autism diagnosis using structural and functional MRI.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

A comprehensive framework for early assessment of lung injury.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A new framework for incorporating appearance and shape features of lung nodules for precise diagnosis of lung cancer.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Automatic 3-D muscle and fat segmentation of thigh magnetic resonance images in individuals with spinal cord injury.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A new deep-learning approach for early detection of shape variations in autism using structural mri.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A novel CAD system for local and global early diagnosis of Alzheimer's disease based on PIB-PET scans.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Infant Brain Extraction in T1-Weighted MR Images Using BET and Refinement Using LCDG and MGRF Models.
IEEE J. Biomed. Health Informatics, 2016

3-D Lung Segmentation by Incremental Constrained Nonnegative Matrix Factorization.
IEEE Trans. Biomed. Engineering, 2016

Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network.
CoRR, 2016

Five multiresolution-based calcium volume measurement techniques from coronary IVUS videos: A comparative approach.
Comput. Methods Programs Biomed., 2016

A Promising Non-invasive CAD System for Kidney Function Assessment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Image-Based Computer-Aided Diagnostic System for Early Diagnosis of Prostate Cancer.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Detection of lung injury using 4D-CT chest images.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

An ISO-surfaces based local deformation handling framework of lung tissues.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

3D diffusion MRI-based CAD system for early diagnosis of acute renal rejection.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

A new NMF-autoencoder based CAD system for early diagnosis of prostate cancer.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Kidney segmentation from CT images using a 3D NMF-guided active contour model.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Detection of white matter abnormalities in MR brain images for diagnosis of autism in children.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Image-based CAD system for accurate identification of lung injury.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

A new non-invasive approach for early classification of renal rejection types using diffusion-weighted MRI.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Computer-aided diagnostic tool for early detection of prostate cancer.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

A random forest-based framework for 3D kidney segmentation from dynamic contrast-enhanced CT images.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Alzheimer's disease diagnostics by adaptation of 3D convolutional network.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

A novel automatic segmentation of healthy and diseased retinal layers from OCT scans.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans.
Comput. Intell. Neurosci., 2015

Intramyocardial strain estimation from cardiac cine MRI.
Int. J. Comput. Assist. Radiol. Surg., 2015

Towards Non-invasive Image-Based Early Diagnosis of Autism.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Segmenting Kidney DCE-MRI Using 1st-Order Shape and 5th-Order Appearance Priors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Using physiological signal analysis to design affective VR games.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2015

A novel framework for automatic segmentation of kidney from DW-MRI.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Segmentationof pathological lungs from CT chest images.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

A level set-based framework for 3D kidney segmentation from diffusion MR images.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

A novel framework for the segmentationof mrinfant brain images.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Segmentation of infant brain MR images based on adaptive shape prior and higher-order MGRF.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Automatic segmentation of pathological lung using incremental nonnegative matrix factorization.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Shape Analysis of the Human Brain: A Brief Survey.
IEEE J. Biomed. Health Informatics, 2014

Atlas-based approach for the segmentation of infant DTI MR brain images.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

A novel 4D PDE-based approach for accurate assessment of myocardium function using cine cardiac magnetic resonance images.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

A statistical framework for the classification of infant DT images.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Lung segmentation based on Nonnegative Matrix Factorization.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

An integrated geometrical and stochastic approach for accurate infant brain extraction.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Dynamic Contrast-Enhanced MRI-Based Early Detection of Acute Renal Transplant Rejection.
IEEE Trans. Med. Imaging, 2013

Kidney segmentation using graph cuts and pixel connectivity.
Pattern Recognit. Lett., 2013

Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans.
Int. J. Biomedical Imaging, 2013

Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies.
Int. J. Biomedical Imaging, 2013

Lung Imaging Data Analysis.
Int. J. Biomedical Imaging, 2013

Segmentation of lung region based on using parallel implementation of joint MGRF: Validation on 3D realistic lung phantoms.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

A new shape-based framework for the left ventricle wall segmentation from cardiac first-pass perfusion mri.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Dyslexia Diagnostics by 3-D Shape Analysis of the Corpus Callosum.
IEEE Trans. Inf. Technol. Biomed., 2012

Accurate Automatic Analysis of Cardiac Cine Images.
IEEE Trans. Biomed. Engineering, 2012

Precise Segmentation of 3-D Magnetic Resonance Angiography.
IEEE Trans. Biomed. Engineering, 2012

A Novel Approach for Global Lung Registration Using 3D Markov-Gibbs Appearance Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

A Novel 3D Joint MGRF Framework for Precise Lung Segmentation.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Improving full-cardiac cycle strain estimation from tagged CMR by accurate modeling of 3D image appearance characteristics.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

A new nonrigid registration framework for improved visualization of transmural perfusion gradients on cardiac first-pass perfusion MRI.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Early assessment of malignant lung nodules based on the spatial analysis of detected lung nodules.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Non-rigid biomedical image registration using graph cuts with a novel data term.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

A novel CAD system for analyzing cardiac first-pass MR images.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Quantification of age-related brain cortex change using 3D shape analysis.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Accurate modeling of tagged CMR 3D image appearance characteristics to improve cardiac cycle strain estimation.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

A new nonrigid registration approach for motion correction of cardiac first-pass perfusion MRI.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

A novel image-based approach for early detection of prostate cancer.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Modified Akaike information criterion for estimating the number of components in a probability mixture model.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Appearance-based diagnostic system for early assessment of malignant lung nodules.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

A novel Gaussian Scale Space-based joint MGRF framework for precise lung segmentation.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
3D Graph cut with new edge weights for cerebral white matter segmentation.
Pattern Recognit. Lett., 2011

Accurate Automated Detection of Autism Related Corpus Callosum Abnormalities.
J. Medical Systems, 2011

3D Kidney Segmentation from CT Images Using a Level Set Approach Guided by a Novel Stochastic Speed Function.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

3D Shape Analysis for Early Diagnosis of Malignant Lung Nodules.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

3D shape analysis of the brain cortex with application to autism.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Automatic analysis of left ventricle wall thickness using short-axis cine CMR images.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A new 3D automatic segmentation framework for accurate segmentation of prostate from DCE-MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Autism diagnostics by centerline-based shape analysis of the Corpus Callosum.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A new framework for automated identification of pathological tissues in contrast enhanced cardiac magnetic resonance images.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A novel shape-based diagnostic approach for early diagnosis of lung nodules.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

3D shape analysis of the brain cortex with application to dyslexia.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

A new deformable model-based segmentation approach for accurate extraction of the kidney from abdominal CT images.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

A novel approach for accurate estimation of left ventricle global indexes from short-axis cine MRI.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

3D automatic approach for precise segmentation of the prostate from Diffusion-Weighted Magnetic Resonance Imaging.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

A new framework for automated segmentation of left ventricle wall from contrast enhanced cardiac magnetic resonance images.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

A multi-scale non-linear vessel enhancement technique.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Non-Invasive Image-Based Approach for Early Detection of Prostate Cancer.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

2010
Non-invasive Image-Based Approach for Early Detection of Acute Renal Rejection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Novel Stochastic Framework for Accurate Segmentation of Prostate in Dynamic Contrast Enhanced MRI.
Proceedings of the Prostate Cancer Imaging. Computer-Aided Diagnosis, 2010

A novel 3D segmentation approach for segmenting the prostate from dynamic contrast enhanced MRI using current appearance and learned shape prior.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2010

Image-based detection of corpus callosum variability for more accurate discrimination between dyslexic and normal brains.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Appearance analysis for diagnosing malignant lung nodules.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Shape-Appearance Guided Level-Set Deformable Model for Image Segmentation.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Dyslexia Diagnostics by Centerline-Based Shape Analysis of the Corpus Callosum.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Deformable model guided by stochastic speed with application in cine images segmentation.
Proceedings of the International Conference on Image Processing, 2010

Image-based detection of Corpus Callosum variability for more accurate discrimination between autistic and normal brains.
Proceedings of the International Conference on Image Processing, 2010

A new validation approach for the growth rate measurement using elastic phantoms generated by state-of-the-art microfluidics technology.
Proceedings of the International Conference on Image Processing, 2010

Cerebral white matter segmentation from MRI using probabilistic graph cuts and geometric shape priors.
Proceedings of the International Conference on Image Processing, 2010

2009
Automatic analysis of 3D low dose CT images for early diagnosis of lung cancer.
Pattern Recognit., 2009

Toward Early Diagnosis of Lung Cancer.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

A Novel 3D Joint Markov-Gibbs Model for Extracting Blood Vessels from PC-MRA Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Robust Medical Images Segmentation Using Learned Shape and Appearance Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

3D Joint Markov-Gibbs Model for Segmenting the Blood Vessels from MRA.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Assessment of exercise-induced immune cell apoptosis using morphological image processing.
Proceedings of the International Conference on Image Processing, 2009

Robust image segmentation using learned priors.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
An MRI-based diagnostic framework for early diagnosis of dyslexia.
Int. J. Comput. Assist. Radiol. Surg., 2008

A New Stochastic Framework for Accurate Lung Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Promising results for early diagnosis of lung cancer.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

A novel approach for global registration of medical images based on learning the prior appearance model.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

A new approach for automatic analysis of 3D low dose CT images for accurate monitoring the detected lung nodules.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Image analysis approach for identification of renal transplant rejection.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Dyslexia diagnostics by 3D texture analysis of cerebral white matter gyrifications.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A novel image analysis approach for accurate identification of acute renal rejection.
Proceedings of the International Conference on Image Processing, 2008

A new CAD system for early diagnosis of dyslexic brains.
Proceedings of the International Conference on Image Processing, 2008

Global image registration based on learning the prior appearance model.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Image segmentation with a parametric deformable model using shape and appearance priors.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

A Framework for Unsupervised Segmentation of Lung Tissues from Low Dose Computed Tomography Images.
Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008

2007
New Motion Correction Models for Automatic Identification of Renal Transplant Rejection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Autism Diagnostics by 3D Texture Analysis of Cerebral White Matter Gyrifications.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Graph Cuts Framework for Kidney Segmentation with Prior Shape Constraints.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Classification Techniques for Autistic vs. Typically Developing Brain Using MRI Data.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

A New Image Analysis Approach for Automatic Classification of Autistic Brains.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

A Novel Framework for Accurate Lung Segmentation Using Graph Cuts.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

A Novel Approach for Automatic Follow-Up of Detected Lung Nodules.
Proceedings of the International Conference on Image Processing, 2007

A New CAD System for Early Diagnosis of Detected Lung Nodules.
Proceedings of the International Conference on Image Processing, 2007

EM Based Approximation of Empirical Distributions with Linear Combinations of Discrete Gaussians.
Proceedings of the International Conference on Image Processing, 2007

A New Framework for Automatic Registration of 2D/3D Texture Images.
Proceedings of the British Machine Vision Conference 2007, 2007

2006
Precise segmentation of multimodal images.
IEEE Trans. Image Process., 2006

Experiments on Robust Image Registration Using a Markov-Gibbs Appearance Model.
Proceedings of the Structural, 2006

Appearance Models for Robust Segmentation of Pulmonary Nodules in 3D LDCT Chest Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

A New CAD System for the Evaluation of Kidney Diseases Using DCE-MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

A New Adaptive Probabilistic Model of Blood Vessels for Segmenting MRA Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

A Novel Approach for Image Alignment Using a Markov-Gibbs Appearance Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

A framework for the detection of acute renal rejection with dynamic contrast enhanced magnetic resonance imaging.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Image Analysis of Renal DCE MRI for the Detection of Acute Renal Rejection.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

A Framework for Automatic Segmentation of Lung Nodules from Low Dose Chest CT Scans.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Probabilistic Modeling of Blood Vessels for Segmenting MRA Images.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Robust Image Registration Based on Markov-Gibbs Appearance Model.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Fast Unsupervised Segmentation of 3D Magnetic Resonance Angiography.
Proceedings of the International Conference on Image Processing, 2006

Image Alignment Using Learning Prior Appearance Model.
Proceedings of the International Conference on Image Processing, 2006

A Framework for Unsupervised Segmentation of Multi-modal Medical Images.
Proceedings of the Computer Vision Approaches to Medical Image Analysis, 2006

Level Set Segmentation Using Statistical Shape Priors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005
A unified framework for MAP estimation in remote sensing image segmentation.
IEEE Trans. Geosci. Remote. Sens., 2005

Iterative Approximation of Empirical Grey-Level Distributions for Precise Segmentation of Multimodal Images.
EURASIP J. Adv. Signal Process., 2005

MGRF Controlled Stochastic Deformable Model.
Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

Cerebrovascular Segmentation by Accurate Probabilistic Modeling of TOF-MRA Images.
Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

Quantitative Nodule Detection in Low Dose Chest CT Scans: New Template Modeling and Evaluation for CAD System Design.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

2D and 3D Shape Based Segmentation Using Deformable Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Automatic Cerebrovascular Segmentation by Accurate Probabilistic Modeling of TOF-MRA Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Unsupervised Segmentation of Multi-Modal Images by a Precise Approximation of Individual Modes with Linear Combinations of Discrete Gaussians.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

Stochastic Deformable Model.
Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005

2004
Automatic Detection and Recognition of Lung Abnormalities in Helical CT Images Using Deformable Templates.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Advanced Support Vector Machines for Image Modeling Using Gibbs-Markov Random Field.
Proceedings of the International Conference on Computational Intelligence, 2004

Expectation-Maximization for a Linear Combination of Gaussians.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Detection and Recognition of Lung Abnormalities Using Deformable Templates.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Detection and recognition of lung nodules in spiral ct images using deformable templates and bayesian post-classification.
Proceedings of the 2004 International Conference on Image Processing, 2004

Density estimation using modified expectation-maximization algorithm for a linear combination of gaussians.
Proceedings of the 2004 International Conference on Image Processing, 2004

Precise Image Segmentation by Iterative EM-Based Approximation of Empirical Grey Level Distributions with Linear Combinations of Gaussians.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

Real-time vision-based approach for probe tracking in operating room.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

2003
Image segmentation using GMRF models: parameters estimation and applications.
Proceedings of the 2003 International Conference on Image Processing, 2003

Automatic identification of lung abnormalities in chest spiral CT scans.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

A unified approach for detection, visualization, and identification of lung abnormalities in chest spiral CT scans.
Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003


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