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Mohamed Abou El-Ghar
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2020 – today
- 2024
- [j13]Israa Sharaby, Hossam Magdy Balaha
, Ahmed Alksas, Ali Mahmoud
Artificial Intelligence-Based Kidney Segmentation With Modified Cycle-Consistent Generative Adversarial Network and Appearance-Based Shape Prior. IEEE Access 12: 162536-162548 (2024) - [c71]Ibrahim Abdelhalim, Ahmed Alksas, Hossam Magdy Balaha, Mohamed A. Badawy, Mohamed Abou El-Ghar, Norah Saleh Alghamdi, Mohammed Ghazal, Sohail Contractor, Eric Van Bogaert, Dibson D. Gondim, S. R. Silva, Fahmi Khalifa, Ayman El-Baz:
Advancing Personalized Prostate Cancer Therapy Through Hormonal Treatment: Promising Findings. ISBI 2024: 1-4 - [c70]Ibrahim Abdelhalim, Mohamed Abou El-Ghar, Amy C. Dwyer, Rosemary Ouseph, Sohail Contractor, Ayman El-Baz:
A New Non-invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted Kidney. MICCAI (12) 2024: 390-398 - 2023
- [c69]Hossam Magdy Balaha, Sarah M. Ayyad, Ahmed Alksas, Ali E. Takieldeen, Mohamed A. Badawy, Mohamed Shehata, Mohamed Abou El-Ghar, Mohammed Ghazal, Ali Mahmoud, Sohail Contractor, Ayman El-Baz:
Early Diagnosis of Prostate Cancer Using Parametric Estimation of IVIM from DW-MRI. ICIP 2023: 2910-2914 - 2022
- [j12]Sarah M. Ayyad
A New Framework for Precise Identification of Prostatic Adenocarcinoma. Sensors 22(5): 1848 (2022) - 2021
- [j11]Kamal Hammouda
A multiparametric MRI-based CAD system for accurate diagnosis of bladder cancer staging. Comput. Medical Imaging Graph. 90: 101911 (2021) - [j10]Sarah M. Ayyad
Role of AI and Histopathological Images in Detecting Prostate Cancer: A Survey. Sensors 21(8): 2586 (2021) - [j9]Islam R. Abdelmaksoud, Ahmed Shalaby
Precise Identification of Prostate Cancer from DWI Using Transfer Learning. Sensors 21(11): 3664 (2021) - [j8]Kamal Hammouda
A Deep Learning Pipeline for Grade Groups Classification Using Digitized Prostate Biopsy Specimens. Sensors 21(20): 6708 (2021) - [c68]Kamal Hammouda
A Cad System For Accurate Diagnosis Of Bladder Cancer Staging Using A Multiparametric MRI. ISBI 2021: 1718-1721 - 2020
- [c67]Moumen T. El-Melegy, Rasha Abd El-karim, Ayman S. El-Baz, Mohamed Abou El-Ghar:
A Combined Fuzzy C-Means and Level Set Method for Automatic DCE-MRI Kidney Segmentation Using Both Population-Based and Patient-Specific Shape Statistics. FUZZ-IEEE 2020: 1-8 - [c66]Kamal Hammouda
A 3D CNN with a Learnable Adaptive Shape Prior for Accurate Segmentation of Bladder Wall Using MR Images. ISBI 2020: 935-938
2010 – 2019
- 2019
- [j7]Mohamed Shehata
Computer-Aided Diagnostic System for Early Detection of Acute Renal Transplant Rejection Using Diffusion-Weighted MRI. IEEE Trans. Biomed. Eng. 66(2): 539-552 (2019) - [c65]Mohamed Shehata, Robert Keynton, Ayman El-Baz
Early Assessment of Renal Transplants Using BOLD-MRI: Promising Results. ICIP 2019: 1395-1399 - [c64]Islam Reda, Ayman El-Baz
Detecting and Localizing Prostate Cancer from Diffusion-Weighted Magnetic Resonance Imaging. ICIP 2019: 1405-1409 - [c63]Islam Reda, Mohammed Ghazal
Detecting Prostate Cancer Using A CNN-Based System Without Segmentation. ISBI 2019: 855-858 - [c62]Islam R. Abdelmaksoud, Mohammed Ghazal
An Accurate System for Prostate Cancer Localization from Diffusion-Weighted MRI. IST 2019: 1-5 - [c61]Kamal Hammouda
A Deep Learning-Based Approach for Accurate Segmentation of Bladder Wall using MR Images. IST 2019: 1-6 - 2018
- [c60]Moumen T. El-Melegy, Rasha Abd El-karim, Ayman El-Baz
Fuzzy Membership-Driven Level Set for Automatic Kidney Segmentation from DCE-MRI. FUZZ-IEEE 2018: 1-8 - [c59]Mohamed Shehata, Mohammed Ghazal
Role of Integrating Diffusion Mr Image-Markers with Clinical-Biomarkers For Early Assessment of Renal Transplants. ICIP 2018: 146-150 - [c58]Hisham Abdeltawab
A New 3D CNN-based CAD System for Early Detection of Acute Renal Transplant Rejection. ICPR 2018: 3898-3903 - [c57]Islam Reda, Mohammed Ghazal
A Novel ADCs-Based CNN Classification System for Precise Diagnosis of Prostate Cancer. ICPR 2018: 3923-3928 - [c56]Islam Reda, Babajide O. Ayinde, Mohammed M. Elmogy
A new CNN-based system for early diagnosis of prostate cancer. ISBI 2018: 207-210 - [c55]Mohamed Shehata, Fatma Taher
Early Assessment of Acute Renal Rejection Post-transplantation: A Combined Imaging and Clinical Biomarkers Protocol. ISSPIT 2018: 297-302 - [c54]Islam Reda, Mohammed Ghazal
A Computer-Aided System for Prostate Cancer Diagnosis. ISSPIT 2018: 465-469 - [c53]Islam Reda, Mohammed Ghazal
A Computer-Aided System for Prostate Cancer Diagnosis. ISSPIT 2018: 616-620 - [c52]Islam Reda, Ahmed Shalaby, Mohammed Elmogy
A New Fast Framework for Early Detection of Prostate Cancer Without Prostate Segmentation. IST 2018: 1-5 - [c51]Mohamed Shehata, Mohammed Ghazal
A Novel CAD System for Detecting Acute Rejection of Renal Allografts Based on Integrating Imaging-markers and Laboratory Biomarkers. IST 2018: 1-6 - 2017
- [j6]Islam Reda, Ahmed Shalaby, Mohammed M. Elmogy
A comprehensive non-invasive framework for diagnosing prostate cancer. Comput. Biol. Medicine 81: 148-158 (2017) - [j5]Ahmed Soliman
Accurate Lungs Segmentation on CT Chest Images by Adaptive Appearance-Guided Shape Modeling. IEEE Trans. Medical Imaging 36(1): 263-276 (2017) - [c50]Fahmi Khalifa
A generalized MRI-based CAD system for functional assessment of renal transplant. ISBI 2017: 758-761 - 2016
- [c49]Mohamed Shehata, Fahmi Khalifa
A new non-invasive approach for early classification of renal rejection types using diffusion-weighted MRI. ICIP 2016: 136-140 - [c48]Islam Reda, Ahmed Shalaby, Fahmi Khalifa
Computer-aided diagnostic tool for early detection of prostate cancer. ICIP 2016: 2668-2672 - [c47]Mohamed Shehata, Fahmi Khalifa
3D diffusion MRI-based CAD system for early diagnosis of acute renal rejection. ISBI 2016: 1177-1180 - [c46]Islam Reda, Ahmed Shalaby, Mohamed Abou El-Ghar
A new NMF-autoencoder based CAD system for early diagnosis of prostate cancer. ISBI 2016: 1237-1240 - [c45]Ahmed Soliman
An ISO-surfaces based local deformation handling framework of lung tissues. ISBI 2016: 1253-1256 - [c44]Islam Reda, Ahmed Shalaby, Mohammed M. Elmogy
Image-Based Computer-Aided Diagnostic System for Early Diagnosis of Prostate Cancer. MICCAI (1) 2016: 610-618 - [c43]Mohamed Shehata, Fahmi Khalifa
A Promising Non-invasive CAD System for Kidney Function Assessment. MICCAI (3) 2016: 613-621 - 2015
- [c42]Ahmed Soliman
Segmentationof pathological lungs from CT chest images. ICIP 2015: 3655-3659 - [c41]Mohamed Shehata, Fahmi Khalifa
A level set-based framework for 3D kidney segmentation from diffusion MR images. ICIP 2015: 4441-4445 - [c40]Mohamed Shehata, Fahmi Khalifa
A novel framework for automatic segmentation of kidney from DW-MRI. ISBI 2015: 951-954 - 2013
- [j4]Ayman El-Baz
Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans. Int. J. Biomed. Imaging 2013: 517632:1-517632:11 (2013) - [j3]Fahmi Khalifa
Dynamic Contrast-Enhanced MRI-Based Early Detection of Acute Renal Transplant Rejection. IEEE Trans. Medical Imaging 32(10): 1910-1927 (2013) - 2012
- [j2]Ayman El-Baz
Precise Segmentation of 3-D Magnetic Resonance Angiography. IEEE Trans. Biomed. Eng. 59(7): 2019-2029 (2012) - [c39]Ayman El-Baz
Appearance-based diagnostic system for early assessment of malignant lung nodules. ICIP 2012: 533-536 - [c38]Ahmad Firjani, Fahmi Khalifa
A novel image-based approach for early detection of prostate cancer. ICIP 2012: 2849-2852 - [c37]Ayman El-Baz
Early assessment of malignant lung nodules based on the spatial analysis of detected lung nodules. ISBI 2012: 1463-1466 - [c36]Ayman El-Baz
A Novel Approach for Global Lung Registration Using 3D Markov-Gibbs Appearance Model. MICCAI (2) 2012: 114-121 - 2011
- [c35]Ahmad Firjani, Fahmi Khalifa
Non-Invasive Image-Based Approach for Early Detection of Prostate Cancer. DeSE 2011: 172-177 - [c34]Ahmad Firjani, Fahmi Khalifa
3D automatic approach for precise segmentation of the prostate from Diffusion-Weighted Magnetic Resonance Imaging. ICIP 2011: 2285-2288 - [c33]Fahmi Khalifa
A new deformable model-based segmentation approach for accurate extraction of the kidney from abdominal CT images. ICIP 2011: 3393-3396 - [c32]Ayman El-Baz
3D Shape Analysis for Early Diagnosis of Malignant Lung Nodules. IPMI 2011: 772-783 - [c31]Ayman El-Baz
A novel shape-based diagnostic approach for early diagnosis of lung nodules. ISBI 2011: 137-140 - [c30]Ahmad Firjani, Ahmed Elnakib
A new 3D automatic segmentation framework for accurate segmentation of prostate from DCE-MRI. ISBI 2011: 1476-1479 - [c29]Ayman El-Baz
3D Shape Analysis for Early Diagnosis of Malignant Lung Nodules. MICCAI (3) 2011: 175-182 - [c28]Fahmi Khalifa
3D Kidney Segmentation from CT Images Using a Level Set Approach Guided by a Novel Stochastic Speed Function. MICCAI (3) 2011: 587-594 - 2010
- [c27]Ayman El-Baz
A new validation approach for the growth rate measurement using elastic phantoms generated by state-of-the-art microfluidics technology. ICIP 2010: 4381-4384 - [c26]Fahmi Khalifa
Shape-Appearance Guided Level-Set Deformable Model for Image Segmentation. ICPR 2010: 4581-4584 - [c25]Ayman El-Baz
Appearance analysis for diagnosing malignant lung nodules. ISBI 2010: 193-196 - [c24]Ahmad Firjani, Ahmed Elnakib
A novel 3D segmentation approach for segmenting the prostate from dynamic contrast enhanced MRI using current appearance and learned shape prior. ISSPIT 2010: 137-143 - [c23]Fahmi Khalifa
Non-invasive Image-Based Approach for Early Detection of Acute Renal Rejection. MICCAI (1) 2010: 10-18 - [c22]Ahmad Firjani, Ahmed Elnakib
Novel Stochastic Framework for Accurate Segmentation of Prostate in Dynamic Contrast Enhanced MRI. Prostate Cancer Imaging 2010: 121-130
2000 – 2009
- 2009
- [j1]Ayman El-Baz
Automatic analysis of 3D low dose CT images for early diagnosis of lung cancer. Pattern Recognit. 42(6): 1041-1051 (2009) - [c21]Ayman El-Baz
3D Joint Markov-Gibbs Model for Segmenting the Blood Vessels from MRA. ISBI 2009: 1366-1369 - [c20]Ayman El-Baz
Toward Early Diagnosis of Lung Cancer. MICCAI (1) 2009: 682-689 - [c19]Ayman El-Baz
A Novel 3D Joint Markov-Gibbs Model for Extracting Blood Vessels from PC-MRA Images. MICCAI (1) 2009: 943-950 - 2008
- [c18]Hossam E. Abdelmunim
A kidney segmentation approach from DCE-MRI using level sets. CVPR Workshops 2008: 1-6 - [c17]Ayman El-Baz
A novel image analysis approach for accurate identification of acute renal rejection. ICIP 2008: 1812-1815 - [c16]Ayman El-Baz
Image analysis approach for identification of renal transplant rejection. ICPR 2008: 1-4 - [c15]Ayman El-Baz
A new approach for automatic analysis of 3D low dose CT images for accurate monitoring the detected lung nodules. ICPR 2008: 1-4 - [c14]Ayman El-Baz
Promising results for early diagnosis of lung cancer. ISBI 2008: 1151-1154 - 2007
- [c13]Ayman El-Baz
A New CAD System for Early Diagnosis of Detected Lung Nodules. ICIP (2) 2007: 461-464 - [c12]Ayman El-Baz
A Novel Approach for Automatic Follow-Up of Detected Lung Nodules. ICIP (5) 2007: 501-504 - [c11]Ayman El-Baz
New Motion Correction Models for Automatic Identification of Renal Transplant Rejection. MICCAI (2) 2007: 235-243 - 2006
- [c10]Ayman El-Baz
Fast Unsupervised Segmentation of 3D Magnetic Resonance Angiography. ICIP 2006: 93-96 - [c9]Ayman El-Baz
A Framework for Automatic Segmentation of Lung Nodules from Low Dose Chest CT Scans. ICPR (3) 2006: 611-614 - [c8]Ayman El-Baz
Image Analysis of Renal DCE MRI for the Detection of Acute Renal Rejection. ICPR (3) 2006: 822-825 - [c7]Ayman El-Baz
Probabilistic Modeling of Blood Vessels for Segmenting MRA Images. ICPR (3) 2006: 917-920 - [c6]Aly A. Farag, Ayman El-Baz
A framework for the detection of acute renal rejection with dynamic contrast enhanced magnetic resonance imaging. ISBI 2006: 418-421 - [c5]Ayman El-Baz
A New CAD System for the Evaluation of Kidney Diseases Using DCE-MRI. MICCAI (2) 2006: 446-453 - [c4]Aly A. Farag, Ayman El-Baz
Appearance Models for Robust Segmentation of Pulmonary Nodules in 3D LDCT Chest Images. MICCAI (1) 2006: 662-670 - [c3]Ayman El-Baz
A New Adaptive Probabilistic Model of Blood Vessels for Segmenting MRA Images. MICCAI (2) 2006: 799-806 - 2005
- [c2]Aly A. Farag, Ayman El-Baz
Quantitative Nodule Detection in Low Dose Chest CT Scans: New Template Modeling and Evaluation for CAD System Design. MICCAI 2005: 720-728 - [c1]Ayman El-Baz
2D and 3D Shape Based Segmentation Using Deformable Models. MICCAI (2) 2005: 821-829
Coauthor Index
Ayman El-Baz
aka: Ayman S. El-Baz
aka: Ayman S. El-Baz
[j13] [c71] [c70] [c69] [j12] [j11] [j10] [j9] [j8] [c68] [c67] [c66] [j7] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [j6] [j5] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [j4] [j3] [j2] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [j1] [c21] [c20] [c19] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
Adel Said Elmaghraby
aka: Adel Elmaghraby
aka: Adel Elmaghraby
Mohammed M. Elmogy
aka: Mohammed Elmogy
aka: Mohammed Elmogy
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