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Ahmed Soliman 0001
Person information
- affiliation: University of Louisville, Louisville, KY, USA
Other persons with the same name
- Ahmed Soliman — disambiguation page
- Ahmed Soliman 0002
— Purdue University, West Lafayette, IN, USA
- Ahmed Soliman 0003
- Ahmed Soliman 0004 — RWTH Aachen University, Aachen, Germany
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2020 – today
- 2024
- [j19]Fahmi Khalifa
Guest Editorial Advanced Machine Learning and Artificial Intelligence Tools for Computational Biology: Methodologies and Challenges. IEEE J. Biomed. Health Informatics 28(4): 1883-1885 (2024) - [j18]Mohamed El-Sharkawy
A Clinically Explainable AI-Based Grading System for Age-Related Macular Degeneration Using Optical Coherence Tomography. IEEE J. Biomed. Health Informatics 28(4): 2079-2090 (2024) - 2023
- [j17]Ahmed Alksas
A novel higher order appearance texture analysis to diagnose lung cancer based on a modified local ternary pattern. Comput. Methods Programs Biomed. 240: 107692 (2023) - 2022
- [j16]Mohamed El-Sharkawy
The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey. Sensors 22(9): 3490 (2022) - [c55]Ahmed Sharafeldeen
Thyroid Cancer Diagnostic System using Magnetic Resonance Imaging. ICPR 2022: 4365-4370 - [c54]Ahmed Shaffie, Ahmed Soliman, Victor Van Berkel, Ayman El-Baz:
Hand Crafted Features for Efficient Lung Cancer Diagnosis Using Stacked Autoencoder. ICPR 2022: 4378-4384 - [c53]Mohamed El-Sharkawy
Diabetic Retinopathy Diagnostic CAD System Using 3D-Oct Higher Order Spatial Appearance Model. ISBI 2022: 1-4 - 2021
- [j15]Kamal Hammouda
A multiparametric MRI-based CAD system for accurate diagnosis of bladder cancer staging. Comput. Medical Imaging Graph. 90: 101911 (2021) - [j14]Omar Dekhil, Ahmed Shalaby, Ahmed Soliman
Identifying brain areas correlated with ADOS raw scores by studying altered dynamic functional connectivity patterns. Medical Image Anal. 68: 101899 (2021) - [j13]Mohamed Shehata
A Comprehensive Computer-Assisted Diagnosis System for Early Assessment of Renal Cancer Tumors. Sensors 21(14): 4928 (2021) - [j12]Ahmed Sharafeldeen
Precise Segmentation of COVID-19 Infected Lung from CT Images Based on Adaptive First-Order Appearance Model with Morphological/Anatomical Constraints. Sensors 21(16): 5482 (2021) - [j11]Yaser A. Elnakieb
The Role of Diffusion Tensor MR Imaging (DTI) of the Brain in Diagnosing Autism Spectrum Disorder: Promising Results. Sensors 21(24): 8171 (2021) - [c52]Mohamed Shehata, Ahmed Alksas
A New Computer-Aided Diagnostic (Cad) System For Precise Identification Of Renal Tumors. ISBI 2021: 1378-1381 - [c51]Kamal Hammouda
A Cad System For Accurate Diagnosis Of Bladder Cancer Staging Using A Multiparametric MRI. ISBI 2021: 1718-1721 - [c50]Ahmed Shaffie, Ahmed Soliman, Hadil Abu Khalifeh
A Novel Framework for Accurate and Non-Invasive Pulmonary Nodule Diagnosis by Integrating Texture and Contour Descriptors. ISBI 2021: 1883-1886 - 2020
- [j10]Fatma Taher
Accurate Segmentation of Cerebrovasculature From TOF-MRA Images Using Appearance Descriptors. IEEE Access 8: 96139-96149 (2020) - [j9]Yaser A. Elnakieb
Computer Aided Autism Diagnosis Using Diffusion Tensor Imaging. IEEE Access 8: 191298-191308 (2020) - [c49]Fatma Taher
Precise Cerebrovascular Segmentation. ICIP 2020: 394-397 - [c48]Ahmed Shaffie, Ahmed Soliman, Hadil Abu Khalifeh
A Comprehensive Framework For Accurate Classification of Pulmonary Nodules. ICIP 2020: 408-412 - [c47]Heba Kandil
Analysis Of The Importance Of Systolic Blood Pressure Versus Diastolic Blood Pressure In Diagnosing Hypertension: MRA Study. ICIP 2020: 443-447 - [c46]Ahmed Alksas
A Novel Computer-Aided Diagnostic System for Early Assessment of Hepatocellular Carcinoma. ICPR 2020: 10375-10382 - [c45]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
- [j8]Mohammed Ghazal
Vegetation Cover Estimation Using Convolutional Neural Networks. IEEE Access 7: 132563-132576 (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) - [c44]Ahmed Shaffie, Ahmed Soliman
A Novel CT-Based Descriptors for Precise Diagnosis of Pulmonary Nodules. ICIP 2019: 1400-1404 - [c43]Ahmed Shaffie, Ahmed Soliman
Radiomic-Based Framework for Early Diagnosis of Lung Cancer. ISBI 2019: 1293-1297 - [c42]Yaser A. Elnakieb
Autism Spectrum Disorder Diagnosis framework using Diffusion Tensor Imaging. IST 2019: 1-5 - [c41]Kamal Hammouda
A Deep Learning-Based Approach for Accurate Segmentation of Bladder Wall using MR Images. IST 2019: 1-6 - [c40]Heba Kandil
A CAD System for the Early Prediction of Hypertension based on Changes in Cerebral Vasculature. IST 2019: 1-5 - [c39]Ahmed Shaffie, Ahmed Soliman
A New System for Lung Cancer Diagnosis based on the Integration of Global and Local CT Features. IST 2019: 1-6 - [c38]Ahmed A. Sleman, Ahmed Soliman
Retinal Layers OCT Scans 3-D Segmentation. IST 2019: 1-6 - 2018
- [c37]Ahmed A. Sleman, Ahmed ElTanboly
An Innovative 3D Adaptive Patient-Related Atlas for Automatic Segmentation of Retina Layers from Oct Images. ICIP 2018: 729-733 - [c36]Ahmed Shaffie, Ahmed Soliman
A Novel Autoencoder-Based Diagnostic System for Early Assessment of Lung Cancer. ICIP 2018: 1393-1397 - [c35]Ahmed Soliman
A Novel CNN Segmentation Framework Based on Using New Shape and Appearance Features. ICIP 2018: 3488-3492 - [c34]Heba Kandil
A novel MRA framework based on integrated global and local analysis for accurate segmentation of the cerebral vascular system. ISBI 2018: 1365-1368 - [c33]Ahmed Shaffie, Ahmed Soliman
On The Integration of CT-Derived Features for Accurate Detection of Lung Cancer. ISSPIT 2018: 435-440 - [c32]Yaser A. Elnakieb
Towards Accurate Personalized Autism Diagnosis Using Different Imaging Modalities: sMRI, fMRI, and DTI. ISSPIT 2018: 447-452 - [c31]Heba Kandil
Using 3-D CNNs and Local Blood Flow Information to Segment Cerebral Vasculature. ISSPIT 2018: 701-705 - [c30]Heba Kandil
A Novel MRA-Based Framework For Detecting Correlation Between Cerebrovascular Changes and Mean Arterial Pressure. IST 2018: 1-6 - 2017
- [j6]Fahmi Khalifa
3D Kidney Segmentation from Abdominal Images Using Spatial-Appearance Models. Comput. Math. Methods Medicine 2017: 9818506:1-9818506:10 (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) - [c29]Ahmed Shaffie, Ahmed Soliman
A new framework for incorporating appearance and shape features of lung nodules for precise diagnosis of lung cancer. ICIP 2017: 1372-1376 - [c28]Ahmed Soliman
A comprehensive framework for early assessment of lung injury. ICIP 2017: 3275-3279 - [c27]Fahmi Khalifa
A generalized MRI-based CAD system for functional assessment of renal transplant. ISBI 2017: 758-761 - [c26]Samineh Mesbah, Ahmed Shalaby, Sean Stills, Ahmed Soliman
A Novel Automatic Segmentation Method to Quantify the Effects of Spinal Cord Injury on Human Thigh Muscles and Adipose Tissue. MICCAI (2) 2017: 703-711 - [c25]Safa Salahat, Ahmed Soliman
Segmentation of Abdominal Aortic Aneurysm (AAA) Based on Topology Prior Model. MIUA 2017: 219-228 - 2016
- [j4]Amir Alansary, Marwa Ismail, Ahmed Soliman
Infant Brain Extraction in T1-Weighted MR Images Using BET and Refinement Using LCDG and MGRF Models. IEEE J. Biomed. Health Informatics 20(3): 925-935 (2016) - [c24]Ahmed ElTanboly
A novel automatic segmentation of healthy and diseased retinal layers from OCT scans. ICIP 2016: 116-120 - [c23]Ahmed Soliman
Image-based CAD system for accurate identification of lung injury. ICIP 2016: 121-125 - [c22]Mohamed Shehata, Fahmi Khalifa
A new non-invasive approach for early classification of renal rejection types using diffusion-weighted MRI. ICIP 2016: 136-140 - [c21]Fahmi Khalifa
A random forest-based framework for 3D kidney segmentation from dynamic contrast-enhanced CT images. ICIP 2016: 3399-3403 - [c20]Marwa Ismail, Ahmed Soliman
Detection of white matter abnormalities in MR brain images for diagnosis of autism in children. ISBI 2016: 6-9 - [c19]Fahmi Khalifa
Kidney segmentation from CT images using a 3D NMF-guided active contour model. ISBI 2016: 432-435 - [c18]Mohamed Shehata, Fahmi Khalifa
3D diffusion MRI-based CAD system for early diagnosis of acute renal rejection. ISBI 2016: 1177-1180 - [c17]Ahmed Soliman
An ISO-surfaces based local deformation handling framework of lung tissues. ISBI 2016: 1253-1256 - [c16]Ahmed Soliman
Detection of lung injury using 4D-CT chest images. ISBI 2016: 1274-1277 - [c15]Mohamed Shehata, Fahmi Khalifa
A Promising Non-invasive CAD System for Kidney Function Assessment. MICCAI (3) 2016: 613-621 - 2015
- [c14]Ahmed Soliman
Segmentationof pathological lungs from CT chest images. ICIP 2015: 3655-3659 - [c13]Marwa Ismail, Mahmoud Mostapha, Ahmed Soliman
Segmentation of infant brain MR images based on adaptive shape prior and higher-order MGRF. ICIP 2015: 4327-4331 - [c12]Mohamed Shehata, Fahmi Khalifa
A level set-based framework for 3D kidney segmentation from diffusion MR images. ICIP 2015: 4441-4445 - [c11]Mohamed Shehata, Fahmi Khalifa
A novel framework for automatic segmentation of kidney from DW-MRI. ISBI 2015: 951-954 - [c10]Ni Liu, Ahmed Soliman
Segmenting Kidney DCE-MRI Using 1st-Order Shape and 5th-Order Appearance Priors. MICCAI (1) 2015: 77-84 - 2014
- [c9]Mahmoud Mostapha, Ahmed Soliman
A statistical framework for the classification of infant DT images. ICIP 2014: 2222-2226 - [c8]Hisham Sliman, Ahmed Elnakib
A novel 4D PDE-based approach for accurate assessment of myocardium function using cine cardiac magnetic resonance images. ICIP 2014: 3537-3541 - [c7]Amir Alansary, Ahmed Soliman
An integrated geometrical and stochastic approach for accurate infant brain extraction. ICIP 2014: 3542-3546 - [c6]Mahmoud Mostapha, Amir Alansary, Ahmed Soliman
Atlas-based approach for the segmentation of infant DTI MR brain images. ISBI 2014: 1255-1258 - 2013
- [j3]Ayman El-Baz
Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies. Int. J. Biomed. Imaging 2013: 942353:1-942353:46 (2013) - [j2]Ashish K. Rudra, Ananda S. Chowdhury
Kidney segmentation using graph cuts and pixel connectivity. Pattern Recognit. Lett. 34(13): 1470-1475 (2013) - [c5]Ahmed Soliman
Segmentation of lung region based on using parallel implementation of joint MGRF: Validation on 3D realistic lung phantoms. ISBI 2013: 864-867 - 2012
- [j1]Ayman El-Baz
Precise Segmentation of 3-D Magnetic Resonance Angiography. IEEE Trans. Biomed. Eng. 59(7): 2019-2029 (2012) - [c4]Behnoush Abdollahi, Ahmed Soliman
A novel Gaussian Scale Space-based joint MGRF framework for precise lung segmentation. ICIP 2012: 2029-2032 - [c3]Ayman El-Baz
Early assessment of malignant lung nodules based on the spatial analysis of detected lung nodules. ISBI 2012: 1463-1466 - [c2]Behnoush Abdollahi, Ahmed Soliman
A Novel 3D Joint MGRF Framework for Precise Lung Segmentation. MLMI 2012: 86-93 - [c1]Ayman El-Baz
A Novel Approach for Global Lung Registration Using 3D Markov-Gibbs Appearance Model. MICCAI (2) 2012: 114-121
Coauthor Index
Ayman El-Baz
aka: Ayman S. El-Baz
aka: Ayman S. El-Baz
[j18] [j17] [j16] [c55] [c54] [c53] [j15] [j14] [j13] [j12] [j11] [c52] [c51] [c50] [j10] [j9] [c49] [c48] [c47] [c46] [c45] [j8] [j7] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [j6] [j5] [c29] [c28] [c27] [c26] [c25] [j4] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [j3] [j2] [c5] [j1] [c4] [c3] [c2] [c1]
Adel Said Elmaghraby
aka: Adel Elmaghraby
aka: Adel Elmaghraby
Robert Keynton
aka: Robert S. Keynton
aka: Robert S. Keynton
Ali Mahmoud 0001
aka: Ali H. Mahmoud
aka: Ali H. Mahmoud
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last updated on 2024-12-12 21:00 CET by the dblp team
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