Ahmed Soliman

According to our database1, Ahmed Soliman authored at least 55 papers between 2011 and 2019.

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Bibliography

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

Optimal control of batch processes via a deterministic Q-learning method.
CoRR, 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

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

Autism Spectrum Disorder Diagnosis framework using Diffusion Tensor Imaging.
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

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

A Characterization of Political Communities on Reddit.
Proceedings of the 30th ACM Conference on Hypertext and Social Media, 2019

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

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

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

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

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

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

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

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

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

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

A Promising Non-invasive CAD System for Kidney Function Assessment.
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

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

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

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
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

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

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

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

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

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

Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies.
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

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

Rethinking Mobile Search Queries using Context.
Proceedings of the PECCS 2012, 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

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

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
On-chip high-Q bandpass filtering using N-phase current driven passive mixers.
Proceedings of the 20th European Conference on Circuit Theory and Design, 2011


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