Ahmed A. Khalil

According to our database, Ahmed A. Khalil authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Precision in Insurance Forecasting: Enhancing Potential with Ensemble and Combination Models based on the Adaptive Neuro-Fuzzy Inference System in the Egyptian Insurance Industry.

Ahmed A. Khalil, Zaiming Liu, Ahmed Ali

Appl. Artif. Intell., December, 2024

Machine Learning Based Method for Insurance Fraud Detection on Class Imbalance Datasets With Missing Values.

Ahmed A. Khalil, Zaiming Liu, Ahmed Fathalla, Ahmed Ali, Ahmad Salah

IEEE Access, 2024

2022

Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks.

Pooja Subramaniam, Tabea Kossen, Kerstin Ritter, Anja Hennemuth, Kristian Hildebrand, Adam Hilbert, Jan Sobesky, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey, Vince I. Madai

Medical Image Anal., 2022

Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks.

Tabea Kossen, Manuel A. Hirzel, Vince I. Madai, Franziska Boenisch, Anja Hennemuth, Kristian Hildebrand, Sebastian Pokutta, Kartikey Sharma, Adam Hilbert, Jan Sobesky, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey

Frontiers Artif. Intell., 2022

Predicting Insolvency of Insurance Companies in Egyptian Market Using Bagging and Boosting Ensemble Techniques.

Ahmed A. Khalil, Zaiming Liu, Ahmad Salah, Ahmed Fathalla, Ahmed Ali

IEEE Access, 2022

2021

Integrating underground line design with existing public transportation systems to increase transit network connectivity: Case study in Greater Cairo.

Mahmoud Owais, Abdou S. Ahmed, Ghada S. Moussa, Ahmed A. Khalil

Expert Syst. Appl., 2021

Synthesizing anonymized and labeled TOF-MRA patches for brain vessel segmentation using generative adversarial networks.

Tabea Kossen, Pooja Subramaniam, Vince I. Madai, Anja Hennemuth, Kristian Hildebrand, Adam Hilbert, Jan Sobesky, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey

Comput. Biol. Medicine, 2021

An evaluation of performance measures for arterial brain vessel segmentation.

Orhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert, Ahmed A. Khalil, Ivana Galinovic, Jochen B. Fiebach, Dietmar Frey, Vince Istvan Madai

BMC Medical Imaging, 2021

2020

BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease.

Adam Hilbert, Vince I. Madai, Ela M. Akay, Orhun Utku Aydin, Jonas Behland, Jan Sobesky, Ivana Galinovic, Ahmed A. Khalil, Abdel Aziz Taha, Jens Wuerfel, Petr Dusek, Thoralf Niendorf, Jochen B. Fiebach, Dietmar Frey, Michelle Livne

Frontiers Artif. Intell., 2020

Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks.

Tabea Kossen, Pooja Subramaniam, Vince I. Madai, Anja Hennemuth, Kristian Hildebrand, Adam Hilbert, Jan Sobesky, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey

CoRR, 2020

On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking.

Orhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert, Ahmed A. Khalil, Ivana Galinovic, Jochen B. Fiebach, Dietmar Frey, Vince Istvan Madai

CoRR, 2020

Multimodal Fusion Strategies for Outcome Prediction in Stroke.

Esra Zihni, Vince Istvan Madai, Ahmed A. Khalil, Ivana Galinovic, Jochen B. Fiebach, John D. Kelleher, Dietmar Frey, Michelle Livne

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020