Omar Aboumarzouk

Orcid: 0000-0002-7961-7614

According to our database1, Omar Aboumarzouk authored at least 13 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Mixed reality-based training simulator for learning scope maneuvering skills in hysteroscopy.
Virtual Real., March, 2026

Corrigendum to "Automated skills assessment in open surgery: A scoping review" [Eng. Appl. Artif. Intellig. 153 (2025) 110893].
Eng. Appl. Artif. Intell., 2026

2025
HySim: towards development of a hybrid simulation framework with improved visual and tactile realism for minimally invasive surgeries.
Virtual Real., September, 2025

A survey of transformers and large language models for ECG diagnosis: advances, challenges, and future directions.
Artif. Intell. Rev., September, 2025

Development and Validation of a Class Imbalance-Resilient Cardiac Arrest Prediction Framework Incorporating Multiscale Aggregation, ICA and Explainability.
IEEE Trans. Biomed. Eng., May, 2025

Deep learning for surgical instrument recognition and segmentation in robotic-assisted surgeries: a systematic review.
Artif. Intell. Rev., January, 2025

Evaluation of Reporting Methods for Assessment and Surgical Planning of Perianal Fistulas.
J. Imaging Inform. Medicine, 2025

Automated skills assessment in open surgery: A scoping review.
Eng. Appl. Artif. Intell., 2025

Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction.
IEEE Access, 2025

2024
A comprehensive study to learn the impact of augmented reality and haptic interaction in ultrasound-guided percutaneous liver biopsy training and education.
Artif. Intell. Rev., July, 2024

Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2024

A holographic telementoring system depicting surgical instrument movements for real-time guidance in open surgeries.
Comput. Methods Programs Biomed., 2024

2021
Content Validity and User Satisfaction Evaluation of Visualization Training Tool for Surgeons for Urethral Dissection during Robot-Assisted Radical Prostatectomy.
Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021


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