Won-Kwang Park - IEEE Xplore Author Profile

Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Institutional Sign In

Institutional Sign In

ADVANCED SEARCH

Author details

Won-Kwang Park

Publications

27

Citations

45

Publications by Year

20112025

Co-Authors:

Seongje ChaeChi Young AhnJoo Young HuhYoung Deuk JoYoung-Deuk Joh

Show All Co-Authors (15)

Won-Kwang Park

Affiliation

Department of Mathematics

Kookmin University

Seoul, Korea

Publication Topics

Microwave Imaging,
Imaging Results,
Mathematical Structure,
Object Location,
Small Objects,
Basis Of Results,
Bessel Function,
CST Studio Suite,
Data Example,
Dielectric Objects,
Dipole Antenna,
Existence Of Objects

Biography

Won-Kwang Park received the M.S. degree in mathematics from Yonsei University, Seoul, South Korea, in 2004, and the Ph.D. degree in applied mathematics from the École Polytechnique, Palaiseau, France, in 2009. After graduation, he joined the Institute for Mathematics and Scientific Computing, Karl Franzens University of Graz, Austria, as a Postdoctoral Researcher, in 2009. In 2010, he joined the Department of Mathematics, Kookmin University, as a full-time Lecturer, where he is currently a Full Professor at the Department of Information Security, Cryptology, and Mathematics. His research interests include microwave imaging, electromagnetics, and scientific computing and related inverse problems.(Based on document published on 1 July 2020).

Publications

27

Citations

45

Publications by Year

20112025

Co-Authors:

Seongje Chae
Chi Young Ahn
Joo Young Huh
Young Deuk Jo
Young-Deuk Joh

Show All Co-Authors (15)

Author's Published Works

Search History

Showing 1-25 of 79 results

Conferences (73)

Journals (6)

Sort

Filter Results

Show

Open Access Only

Range
Single Year
Robert Keynton(41)
Ayman El-Baz(34)
Mohammed Ghazal(32)
R.S. Keynton(15)
Ahmed Soliman(15)
Bioengineering Department, University of Louisville, Louisville, KY, USA(19)
Department of Bioengineering, University of Louisville, Louisville, KY, USA(8)
Bioengineering Department, University of Louisville, KY, USA(7)
Electrical and Computer Engineering Department, Abu Dhabi University, Abu Dhabi, UAE(7)
Faculty of Computers and Information, Mansoura University, Mansoura, Egypt(6)
2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)(7)
2019 IEEE International Conference on Imaging Systems and Techniques (IST)(7)
2008 17th Biennial University/Government/Industry Micro/Nano Symposium(5)
2005 3rd IEEE/EMBS Special Topic Conference on Microtechnology in Medicine and Biology(4)
2018 24th International Conference on Pattern Recognition (ICPR)(4)
IEEE(79)
Louisville, KY, USA(12)
Abu Dhabi, United Arab Emirates(9)
Beijing, China(6)
Oahu, HI, USA(4)
Taipei, Taiwan(4)
Support Vector Machine(23)
Computer-aided Diagnosis(20)
Magnetic Resonance Imaging(20)
Convolutional Neural Network(18)
Diffusion Tensor Imaging(18)

Select All on Page

Sort By

Results

Computer Aided Autism Diagnosis Using Diffusion Tensor Imaging

Yaser A. Elnakieb;Mohamed T. Ali;Ahmed Soliman;Ali H. Mahmoud;Ahmed M. Shalaby;Norah Saleh Alghamdi;Mohammed Ghazal;Ashraf Khalil;Andrew Switala;Robert S. Keynton;Gregory Neal Barnes;Ayman El-Baz

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (15)

HTML

Autism Spectrum Disorder (ASD), commonly known as autism, is a lifelong developmental disorder associated with a broad range of symptoms including difficulties in social interaction, communication skills, and restricted and repetitive behaviors. In autism spectrum disorder, numerous studies suggest abnormal development of neural networks that manifest itself as abnormalities of brain shape, functi...Show More

Computer Aided Autism Diagnosis Using Diffusion Tensor Imaging

Yaser A. Elnakieb;Mohamed T. Ali;Ahmed Soliman;Ali H. Mahmoud;Ahmed M. Shalaby;Norah Saleh Alghamdi;Mohammed Ghazal;Ashraf Khalil;Andrew Switala;Robert S. Keynton;Gregory Neal Barnes;Ayman El-Baz

Year: 2020 | Volume: 8 | Journal Article |

A Deep Learning-Based Cad System For Renal Allograft Assessment: Diffusion, Bold, And Clinical Biomarkers

Mohamed Shehata;Mohammed Ghazal;Hadil Abu Khalifeh;Ashraf Khalil;Ahmed Shalaby;Amy C. Dwyer;Ashraf M. Bakr;Robert Keynton;Ayman El-Baz

2020 IEEE International Conference on Image Processing (ICIP)

Year: 2020 | Conference Paper |

Cited by: Papers (5)

HTML

Recently, studies for non-invasive renal transplant evaluation have been explored to control allograft rejection. In this paper, a computer-aided diagnostic system has been developed to accommodate with an early-stage renal transplant status assessment, called RT-CAD. Our model of this system integrated multiple sources for a more accurate diagnosis: two image-based sources and two clinical-based ...Show More

A Deep Learning-Based Cad System For Renal Allograft Assessment: Diffusion, Bold, And Clinical Biomarkers

Mohamed Shehata;Mohammed Ghazal;Hadil Abu Khalifeh;Ashraf Khalil;Ahmed Shalaby;Amy C. Dwyer;Ashraf M. Bakr;Robert Keynton;Ayman El-Baz

2020 IEEE International Conference on Image Processing (ICIP)

Year: 2020 | Conference Paper |

A Comprehensive Framework For Accurate Classification of Pulmonary Nodules

Ahmed Shaffie;Ahmed Soliman;Hadil Abu Khalifeh;Mohammed Ghazal;Fatma Taher;Adel Elmaghraby;Robert Keynton;Ayman El-Baz

2020 IEEE International Conference on Image Processing (ICIP)

Year: 2020 | Conference Paper |

Cited by: Papers (1)

HTML

A precise computerized lung nodule diagnosis framework is very important for helping radiologists to diagnose lung nodules at an early stage. In this manuscript, a novel system for pulmonary nodule diagnosis, utilizing features extracted from single computed tomography (CT) scans, is proposed. This system combines robust descriptors for both texture and contour features to give a prediction of the...Show More

A Comprehensive Framework For Accurate Classification of Pulmonary Nodules

Ahmed Shaffie;Ahmed Soliman;Hadil Abu Khalifeh;Mohammed Ghazal;Fatma Taher;Adel Elmaghraby;Robert Keynton;Ayman El-Baz

2020 IEEE International Conference on Image Processing (ICIP)

Year: 2020 | Conference Paper |

A 3D CNN with a Learnable Adaptive Shape Prior for Accurate Segmentation of Bladder Wall Using MR Images

K. Hammouda;F. Khalifa;A. Soliman;H. Abdeltawab;M. Ghazal;M. Abou El-Ghar;A. Haddad;H. E. Darwish;R. Keynton;A. El-Baz

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)

Year: 2020 | Conference Paper |

Cited by: Papers (12)

HTML

A 3D deep learning-based convolution neural network (CNN) is developed for accurate segmentation of pathological bladder (both wall border and pathology) using T2-weighted magnetic resonance imaging (T2W-MRI). Our system starts with a preprocessing step for data normalization to a unique space and extraction of a region-of-interest (ROI). The major stage utilizes a 3D CNN for pathological bladder ...Show More

A 3D CNN with a Learnable Adaptive Shape Prior for Accurate Segmentation of Bladder Wall Using MR Images

K. Hammouda;F. Khalifa;A. Soliman;H. Abdeltawab;M. Ghazal;M. Abou El-Ghar;A. Haddad;H. E. Darwish;R. Keynton;A. El-Baz

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)

Year: 2020 | Conference Paper |

A Novel Framework for Grading Autism Severity Using Task-Based FMRI

Reem Haweel;Omar Dekhil;Ahmed Shalaby;Ali Mahmoud;Mohammed Ghazal;Ashraf Khalil;Robert Keynton;Gregory Barnes;Ayman El-Baz

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)

Year: 2020 | Conference Paper |

Cited by: Papers (9)

HTML

Autism is a developmental disorder associated with difficulties in communication and social interaction. Currently, the gold standard in autism diagnosis is the autism diagnostic observation schedule (ADOS) interviews that assign a score indicating the level of severity for each individual. However, current researchers investigate developing objective technologies to diagnose autism employing brai...Show More

A Novel Framework for Grading Autism Severity Using Task-Based FMRI

Reem Haweel;Omar Dekhil;Ahmed Shalaby;Ali Mahmoud;Mohammed Ghazal;Ashraf Khalil;Robert Keynton;Gregory Barnes;Ayman El-Baz

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)

Year: 2020 | Conference Paper |

A New System for Lung Cancer Diagnosis based on the Integration of Global and Local CT Features

Ahmed Shaffie;Ahmed Soliman;Hadil Abu Khalifeh;Fatma Taher;Mohammed Ghazal;Neal Dunlap;Adel Elmaghraby;Robert Keynton;Ayman El-Baz

2019 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2019 | Conference Paper |

Cited by: Papers (1) | Patents (2)

HTML

Lung cancer leads deaths caused by cancer for both men and women worldwide, that is why creating systems for early diagnosis with machine learning algorithms and nominal user intervention is of huge importance. In this manuscript, a new system for lung nodule diagnosis, using features extracted from one computed tomography (CT) scan, is presented. This system integrates global and local features t...Show More

A New System for Lung Cancer Diagnosis based on the Integration of Global and Local CT Features

Ahmed Shaffie;Ahmed Soliman;Hadil Abu Khalifeh;Fatma Taher;Mohammed Ghazal;Neal Dunlap;Adel Elmaghraby;Robert Keynton;Ayman El-Baz

2019 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2019 | Conference Paper |

A Machine Learning Approach for Grading Autism Severity Levels Using Task-based Functional MRI

Reem Haweel;Omar Dekhil;Ahmed Shalaby;Ali Mahmoud;Mohammed Ghazal;Robert Keynton;Gregory Barnes;Ayman El-Baz

2019 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2019 | Conference Paper |

Cited by: Papers (12)

HTML

Autism is a developmental disorder associated with difficulties in communication and social interaction. Autism diagnostic observation schedule (ADOS) is considered the gold standard in autism diagnosis, which estimates a score explaining the severity level for each individual. Currently, brain image modalities are being investigated for the development of objective technologies to diagnose Autism...Show More

A Machine Learning Approach for Grading Autism Severity Levels Using Task-based Functional MRI

Reem Haweel;Omar Dekhil;Ahmed Shalaby;Ali Mahmoud;Mohammed Ghazal;Robert Keynton;Gregory Barnes;Ayman El-Baz

2019 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2019 | Conference Paper |

A Deep Learning-Based Approach for Accurate Segmentation of Bladder Wall using MR Images

K. Hammouda;F. Khalifa;A. Soliman;M. Ghazal;M. Abou El-Ghar;A. Haddad;M. Elmogy;H. E. Darwish;R. Keynton;A. El-Baz

2019 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2019 | Conference Paper |

Cited by: Papers (15)

HTML

In this paper, a deep learning-based convolution neural network (CNN) is developed for accurate segmentation of the bladder wall using T2-weighted magnetic resonance imaging (T2W-MRI). Our framework utilizes a dual pathway, two-dimensional CNN for pathological bladder segmentation. Due to large bladder shape variability across subjects and the existence of pathology, a learnable adaptive shape pri...Show More

A Deep Learning-Based Approach for Accurate Segmentation of Bladder Wall using MR Images

K. Hammouda;F. Khalifa;A. Soliman;M. Ghazal;M. Abou El-Ghar;A. Haddad;M. Elmogy;H. E. Darwish;R. Keynton;A. El-Baz

2019 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2019 | Conference Paper |

Autism Spectrum Disorder Diagnosis framework using Diffusion Tensor Imaging

Yaser ElNakieb;Ahmed Soliman;Ali Mahmoud;Omar Dekhil;Ahemd Shalaby;Mohammed Ghazal;Ashraf Khalil;Andrew Switala;Robert S. Keynton;Gregory N. Barnes;Ayman S. El-Baz

2019 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2019 | Conference Paper |

Cited by: Papers (8)

HTML

Autism is a complex neurological disorder which affects behavioral and communication skills. Numerous studies were presented suggesting abnormal development of neural networks in the brain in shape, functionality, and/or connectivity. While conventional diagnosis of autism is subjective and requires long time before confirmation, neuro-imaging techniques provide a promising alternative. This paper...Show More

Autism Spectrum Disorder Diagnosis framework using Diffusion Tensor Imaging

Yaser ElNakieb;Ahmed Soliman;Ali Mahmoud;Omar Dekhil;Ahemd Shalaby;Mohammed Ghazal;Ashraf Khalil;Andrew Switala;Robert S. Keynton;Gregory N. Barnes;Ayman S. El-Baz

2019 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2019 | Conference Paper |

Automatic Segmentation and Functional Assessment of the Left Ventricle using U-net Fully Convolutional Network

Hisham Abdeltawab;Fahmi Khalifa;Fatma Taher;Garth Beache;Tamer Mohamed;Adel Elmaghraby;Mohammed Ghazal;Robert Keynton;Ayman El-Baz

2019 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2019 | Conference Paper |

Cited by: Papers (1)

HTML

A new method for the automatic segmentation and quantitative assessment of the left ventricle (LV) is proposed in this paper. The method is composed of two steps. First, a fully convolutional U-net is used for the segmentation of the epi- and endo-cardial boundaries of the LV from cine MR images. This step incorporates a novel loss function that accounts for the class imbalance problem caused by t...Show More

Automatic Segmentation and Functional Assessment of the Left Ventricle using U-net Fully Convolutional Network

Hisham Abdeltawab;Fahmi Khalifa;Fatma Taher;Garth Beache;Tamer Mohamed;Adel Elmaghraby;Mohammed Ghazal;Robert Keynton;Ayman El-Baz

2019 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2019 | Conference Paper |

A Local/Regional Based CAD System for Early Diagnosis of Alzheimer's Disease Using sMRI Scans

Fatma El-Zahraa A. El-Gamal;Mohammed M. Elmogy;Ashraf Khalil;Mohammed Ghazal;Hassan Soliman;Ahmed Atwan;Robert Keynton;Gregory N. Barnes;Ayman S. El-Baz

2019 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2019 | Conference Paper |

HTML

Alzheimer's disease (AD) is one of the neurodegenerative diseases, an irreparable one, that targets the central nervous system and causes dementia. During its progression, the disease goes through a number of stages where the diagnosis of the disease at its early stage is highly recommended. Despite this recommendation, accomplishing this diagnosis task faces a number of obstacles including the va...Show More

A Local/Regional Based CAD System for Early Diagnosis of Alzheimer's Disease Using sMRI Scans

Fatma El-Zahraa A. El-Gamal;Mohammed M. Elmogy;Ashraf Khalil;Mohammed Ghazal;Hassan Soliman;Ahmed Atwan;Robert Keynton;Gregory N. Barnes;Ayman S. El-Baz

2019 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2019 | Conference Paper |

An Accurate System for Prostate Cancer Localization from Diffusion-Weighted MRI

Islam R. Abdelmaksoud;Mohammed Ghazal;Ahmed Shalaby;Mohammed Elmogy;Ahmed Aboulfotouh;Mohamed Abou El-Ghar;Robert Keynton;Ayman El-Baz

2019 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2019 | Conference Paper |

Cited by: Papers (2)

HTML

This paper proposes a computer-aided diagnosis (CAD) system for localizing prostate cancer from diffusion-weighted magnetic resonance imaging (DW-MRI). This system uses DW-MRI data sets that were acquired at four b-values: 100, 200, 300, and 400 smm-2. The first step in the proposed system is prostate segmentation using a level set method. The evolution of this level set is guided not only by the ...Show More

An Accurate System for Prostate Cancer Localization from Diffusion-Weighted MRI

Islam R. Abdelmaksoud;Mohammed Ghazal;Ahmed Shalaby;Mohammed Elmogy;Ahmed Aboulfotouh;Mohamed Abou El-Ghar;Robert Keynton;Ayman El-Baz

2019 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2019 | Conference Paper |

A Novel Deep Learning Approach for Left Ventricle Automatic Segmentation in Cardiac Cine MR

Hisham Abdeltawab;Fahmi Khalifa;Fatma Taher;Garth Beache;Tamer Mohamed;Adel Elmaghraby;Mohammed Ghazal;Robert Keynton;Ayman El-Baz

2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME)

Year: 2019 | Conference Paper |

Cited by: Papers (5)

HTML

Cardiac magnetic resonance imaging provides a way for heart's functional analysis. Through segmentation of the left ventricle from cardiac cine images, physiological parameters can be obtained. However, manual segmentation of the left ventricle requires significant time and effort. Therefore, automated segmentation of the left ventricle is the desired and practical alternative. This paper introduc...Show More

A Novel Deep Learning Approach for Left Ventricle Automatic Segmentation in Cardiac Cine MR

Hisham Abdeltawab;Fahmi Khalifa;Fatma Taher;Garth Beache;Tamer Mohamed;Adel Elmaghraby;Mohammed Ghazal;Robert Keynton;Ayman El-Baz

2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME)

Year: 2019 | Conference Paper |

Functional Magnetic Resonance Imaging Based Framework for Autism Diagnosis

Reem Haweel;Omar Dekhil;Ahmed Shalaby;Ali Mahmoud;Mohammed Ghazal;Ashraf Khalil;Said Ghoniemy;Robert Keynton;Adel Elmaghraby;Gregory Barnes;Ayman El-Baz

2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME)

Year: 2019 | Conference Paper |

Cited by: Papers (4)

HTML

In this paper, a novel framework for global diagnosis of autism spectrum disorder (ASD) using task-based functional MRI data is presented. A speech fMRI experiment is held to obtain local features related to the functional activity of the brain. This study proposes both global diagnosis and local diagnosis by analyzing brain brainnetome atlas (BNT) which will lead to the first step of providing pe...Show More

Functional Magnetic Resonance Imaging Based Framework for Autism Diagnosis

Reem Haweel;Omar Dekhil;Ahmed Shalaby;Ali Mahmoud;Mohammed Ghazal;Ashraf Khalil;Said Ghoniemy;Robert Keynton;Adel Elmaghraby;Gregory Barnes;Ayman El-Baz

2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME)

Year: 2019 | Conference Paper |

A CNN-Based Framework for Bladder Wall Segmentation Using MRI

K. Hammouda;F. Khalifa;A. Soliman;M. Ghazal;M. Abou El-Ghar;A. Haddad;M. Elmogy;H. E. Darwish;A. Khalil;A. Elmaghraby;R. Keynton;A. El-Baz

2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME)

Year: 2019 | Conference Paper |

Cited by: Papers (10)

HTML

Accurate segmentation of the bladder wall is of great importance for any computer-aided diagnostic system for bladder cancer (BC) detection and diagnosis. In this paper, a deep learning-based framework is developed for accurate segmentation of the bladder wall using T2-weighted magnetic resonance imaging (T2W-MRI). Our framework utilizes 3D convolution neural network (CNN) and incorporates context...Show More

A CNN-Based Framework for Bladder Wall Segmentation Using MRI

K. Hammouda;F. Khalifa;A. Soliman;M. Ghazal;M. Abou El-Ghar;A. Haddad;M. Elmogy;H. E. Darwish;A. Khalil;A. Elmaghraby;R. Keynton;A. El-Baz

2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME)

Year: 2019 | Conference Paper |

Early Assessment of Renal Transplants Using BOLD-MRI: Promising Results

M. Shehata;A. Shalaby;M. Ghazal;M. Abou El-Ghar;M. A. Badawy;G. Beache;A. Dwyer;M. El-Melegy;G. Giridharan;R. Keynton;A. El-Baz

2019 IEEE International Conference on Image Processing (ICIP)

Year: 2019 | Conference Paper |

Cited by: Papers (5)

HTML

Non-invasive evaluation of renal transplant function is essential to minimize and manage acute renal rejection (AR). A computer-assisted diagnostic (CAD) system is developed to evaluate kidney function post-transplantation. The developed CAD system utilizes the amount of blood-oxygenation extracted from 3D (2D + time) blood oxygen level-dependent magnetic resonance imaging (BOLD-MRI) to estimate r...Show More

Early Assessment of Renal Transplants Using BOLD-MRI: Promising Results

M. Shehata;A. Shalaby;M. Ghazal;M. Abou El-Ghar;M. A. Badawy;G. Beache;A. Dwyer;M. El-Melegy;G. Giridharan;R. Keynton;A. El-Baz

2019 IEEE International Conference on Image Processing (ICIP)

Year: 2019 | Conference Paper |

Detecting and Localizing Prostate Cancer from Diffusion-Weighted Magnetic Resonance Imaging

Islam Reda;Mohammed Ghazal;Ahmed Shalaby;Mohammed Elmogy;Ahmed Aboulfotouh;Mohamed Abou El-Ghar;Moumen El-Melegy;Ashraf Khalil;Robert Keynton;Ayman El-Baz

2019 IEEE International Conference on Image Processing (ICIP)

Year: 2019 | Conference Paper |

Cited by: Papers (3)

HTML

The purpose of this work is to develop a computer-aided diagnosis (CAD) system for detecting and localizing prostate cancer from diffusion-weighted magnetic resonance imaging (DWI) acquired at five distinct b-values. The first step in the proposed system depends on nonnegative matrix factorization (NMF) to fuse intensity features of prostate voxels, spatial features of neighboring voxels, and shap...Show More

Detecting and Localizing Prostate Cancer from Diffusion-Weighted Magnetic Resonance Imaging

Islam Reda;Mohammed Ghazal;Ahmed Shalaby;Mohammed Elmogy;Ahmed Aboulfotouh;Mohamed Abou El-Ghar;Moumen El-Melegy;Ashraf Khalil;Robert Keynton;Ayman El-Baz

2019 IEEE International Conference on Image Processing (ICIP)

Year: 2019 | Conference Paper |

Early Signs Detection of Diabetic Retinopathy Using Optical Coherence Tomography Angiography Scans Based on 3D Multi-Path Convolutional Neural Network

Nabila Eladawi;Mohammed Elmogy;Mohammed Ghazal;Luay Fraiwan;Ahmed Aboelfetouh;Alaa Riad;Harpal Sandhu;Robert Keynton;Ayman El-Baz

2019 IEEE International Conference on Image Processing (ICIP)

Year: 2019 | Conference Paper |

Cited by: Papers (8)

HTML

Diabetic Retinopathy (DR) is one of the leading causes of blindness in working age population worldwide. DR is caused by high blood sugar levels (diabetes), which damages retinal blood vessels and leads to vision loss. The diagnosis of DR requires manual measurements and visual assessment of the changes that happen in the retina, which is highly complex task. Thus, there is an unmet clinical need ...Show More

Early Signs Detection of Diabetic Retinopathy Using Optical Coherence Tomography Angiography Scans Based on 3D Multi-Path Convolutional Neural Network

Nabila Eladawi;Mohammed Elmogy;Mohammed Ghazal;Luay Fraiwan;Ahmed Aboelfetouh;Alaa Riad;Harpal Sandhu;Robert Keynton;Ayman El-Baz

2019 IEEE International Conference on Image Processing (ICIP)

Year: 2019 | Conference Paper |

A Novel CT-Based Descriptors for Precise Diagnosis of Pulmonary Nodules

Ahmed Shaffie;Ahmed Soliman;Hadil Abu Khalifeh;Fatma Taher;Mohammed Ghazal;Neal Dunlap;Adel Elmaghraby;Robert Keynton;Ayman El-Baz

2019 IEEE International Conference on Image Processing (ICIP)

Year: 2019 | Conference Paper |

Cited by: Papers (9)

HTML

Early diagnosis of pulmonary nodules is critical for lung cancer clinical management. In this paper, a novel framework for pulmonary nodule diagnosis, using descriptors extracted from single computed tomography (CT) scan, is introduced. This framework combines appearance and shape descriptors to give an indication of the nodule prior growth rate, which is the key point for diagnosis of lung nodule...Show More

A Novel CT-Based Descriptors for Precise Diagnosis of Pulmonary Nodules

Ahmed Shaffie;Ahmed Soliman;Hadil Abu Khalifeh;Fatma Taher;Mohammed Ghazal;Neal Dunlap;Adel Elmaghraby;Robert Keynton;Ayman El-Baz

2019 IEEE International Conference on Image Processing (ICIP)

Year: 2019 | Conference Paper |

Diabetic Retinopathy Early Detection Based on OCT and OCTA Feature Fusion

Nabila Eladawi;Ahmed ElTanboly;Mohammed Elmogy;Mohammed Ghazal;Luay Fraiwan;Ahmed Aboelfetouh;Alaa Riad;Robert Keynton;Magdi El-Azab;Shlomit Schaal;Ayman El-Baz

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)

Year: 2019 | Conference Paper |

Cited by: Papers (4)

HTML

Diabetic retinopathy (DR) is one of the major causes of blindness worldwide. It is a diabetes complication that occurs after the damage of the blood vessels in the light-sensitive tissue in the retina. So, early detection of DR could reduce the severity of the disease and help ophthalmologists in treating and investigating it more efficiently. In this paper, we developed a computer-aided diagnosis...Show More

Diabetic Retinopathy Early Detection Based on OCT and OCTA Feature Fusion

Nabila Eladawi;Ahmed ElTanboly;Mohammed Elmogy;Mohammed Ghazal;Luay Fraiwan;Ahmed Aboelfetouh;Alaa Riad;Robert Keynton;Magdi El-Azab;Shlomit Schaal;Ayman El-Baz

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)

Year: 2019 | Conference Paper |

Detecting Prostate Cancer Using A CNN-Based System Without Segmentation

Islam Reda;Mohammed Ghazal;Ahmed Shalaby;Mohammed Elmogy;Ahmed Aboulfotouh;Mohamed Abou El-Ghar;Adel Elmaghraby;Robert Keynton;Ayman El-Baz

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)

Year: 2019 | Conference Paper |

Cited by: Papers (4)

HTML

A computer-aided diagnosis (CAD) system for early detection of prostate cancer from diffusion-weighted magnetic resonance imaging (DWI) is proposed in this paper. The proposed system starts by defining a region of interest that includes the prostate across the different slices of the input DWI volume. Then, the apparent diffusion coefficient (ADC) of the defined ROI is calculated, normalized and r...Show More

Detecting Prostate Cancer Using A CNN-Based System Without Segmentation

Islam Reda;Mohammed Ghazal;Ahmed Shalaby;Mohammed Elmogy;Ahmed Aboulfotouh;Mohamed Abou El-Ghar;Adel Elmaghraby;Robert Keynton;Ayman El-Baz

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)

Year: 2019 | Conference Paper |

Radiomic-Based Framework for Early Diagnosis of Lung Cancer

Ahmed Shaffie;Ahmed Soliman;Hadil Abu Khalifeh;Mohammed Ghazal;Fatma Taher;Adel Elmaghraby;Robert Keynton;Ayman El-Baz

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)

Year: 2019 | Conference Paper |

Cited by: Papers (13)

HTML

This paper proposes a new framework for pulmonary nodule diagnosis using radiomic features extracted from a single computed tomography (CT) scan. The proposed framework integrates appearance and shape features to get a precise diagnosis for the extracted lung nodules. The appearance features are modeled using 3D Histogram of Oriented Gradient (HOG) and higher-order Markov Gibbs random field (MGRF)...Show More

Radiomic-Based Framework for Early Diagnosis of Lung Cancer

Ahmed Shaffie;Ahmed Soliman;Hadil Abu Khalifeh;Mohammed Ghazal;Fatma Taher;Adel Elmaghraby;Robert Keynton;Ayman El-Baz

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)

Year: 2019 | Conference Paper |

Computer-Aided Diagnostic System for Early Detection of Acute Renal Transplant Rejection Using Diffusion-Weighted MRI

Mohamed Shehata;Fahmi Khalifa;Ahmed Soliman;Mohammed Ghazal;Fatma Taher;Mohamed Abou El-Ghar;Amy C. Dwyer;Georgy Gimel’farb;Robert S. Keynton;Ayman El-Baz

IEEE Transactions on Biomedical Engineering

Year: 2019 | Volume: 66, Issue: 2 | Journal Article |

Cited by: Papers (37)

HTML

Objective: Early diagnosis of acute renal transplant rejection (ARTR) is critical for accurate treatment. Although the current gold standard, diagnostic technique is renal biopsy, it is not preferred due to its invasiveness, long recovery time (1-2 weeks), and potential for complications, e.g., bleeding and/or infection. Methods: This paper presents a computer-aided diagnostic (CAD) system for ear...Show More

Computer-Aided Diagnostic System for Early Detection of Acute Renal Transplant Rejection Using Diffusion-Weighted MRI

Mohamed Shehata;Fahmi Khalifa;Ahmed Soliman;Mohammed Ghazal;Fatma Taher;Mohamed Abou El-Ghar;Amy C. Dwyer;Georgy Gimel’farb;Robert S. Keynton;Ayman El-Baz

IEEE Transactions on Biomedical Engineering

Year: 2019 | Volume: 66, Issue: 2 | Journal Article |

A Computer-Aided System for Prostate Cancer Diagnosis

Islam Reda;Mohammed Ghazal;Ahmed Shalaby;Mohammed Elmogy;Ahmed Aboulfotouh;Mohamed Abou El-Ghar;Adel Elmaghraby;Robert Keynton;Ayman El-Baz

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

Year: 2018 | Conference Paper |

Cited by: Papers (1)

HTML

In this paper, a computer-aided diagnosis (CAD) system for early diagnosis of prostate cancer from diffusion-weighted magnetic resonance imaging (DWI) is proposed. The proposed system begins with defining a region of interest that contains the prostate across the various slices of the input volume. Then, the apparent diffusion coefficient (ADC) of the defined region is calculated, normalized and r...Show More

A Computer-Aided System for Prostate Cancer Diagnosis

Islam Reda;Mohammed Ghazal;Ahmed Shalaby;Mohammed Elmogy;Ahmed Aboulfotouh;Mohamed Abou El-Ghar;Adel Elmaghraby;Robert Keynton;Ayman El-Baz

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

Year: 2018 | Conference Paper |

Diabetic Retinopathy Early Detection Based on OCT and OCTA Feature Fusion

Ahmed ElTanboly;Nabila Eladawi;Mohammed Elmogy;Mohammed Ghazal;Luay Fraiwan;A. Aboelfetouh;A. Riad;R. Keynton;M. El-Azab;S. Schaal;H. Sandhu;A. El-Baz

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

Year: 2018 | Conference Paper |

Cited by: Papers (3)

HTML

Diabetic retinopathy (DR) is a leading cause of vision loss in adults between 20 and 74 years. It is one of the significant causes of blindness worldwide. It affects the blood vessels in the retina as a complication of diabetes. Early detection of DR could reduce the severity of the disease and help ophthalmologists in treating and investigating it more efficiently. In this paper, a computer-aided...Show More

Diabetic Retinopathy Early Detection Based on OCT and OCTA Feature Fusion

Ahmed ElTanboly;Nabila Eladawi;Mohammed Elmogy;Mohammed Ghazal;Luay Fraiwan;A. Aboelfetouh;A. Riad;R. Keynton;M. El-Azab;S. Schaal;H. Sandhu;A. El-Baz

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

Year: 2018 | Conference Paper |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Test Whats new message.