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pro vyhledávání: '"Aiman"'
Autor:
Auer J; Department of Internal Medicine I with Cardiology and Intensive Care Medicine, St Josef Hospital Braunau, Braunau am Inn, Austria., Graf A; Center of Medical Data Science, Medical University of Vienna, Vienna, Austria., Ankersmit HJ; Clinic of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.; Laboratory for Cardiac and Thoracic Diagnosis, Regeneration and Applied Immunology, Medical University of Vienna, Vienna, Austria.
Publikováno v:
European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery [Eur J Cardiothorac Surg] 2024 Oct 01; Vol. 66 (4).
Akademický článek
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Autor:
Patricolo, Miriam, Gievers, Marcel, Fraboulet, Kilian, Al-Eryani, Aiman, Heinzelmann, Sarah, Bonetti, Pietro M., Toschi, Alessandro, Vilardi, Demetrio, Andergassen, Sabine
We extend the recently introduced single-boson exchange formulation to the computation of the self-energy from the Schwinger-Dyson equation (SDE). In particular, we derive its expression both in diagrammatic and in physical channels. The simple form
Externí odkaz:
http://arxiv.org/abs/2411.11661
Thoracic trauma often results in rib fractures, which demand swift and accurate diagnosis for effective treatment. However, detecting these fractures on rib CT scans poses considerable challenges, involving the analysis of many image slices in sequen
Externí odkaz:
http://arxiv.org/abs/2411.09283
The recovery of damaged or resected ribcage structures requires precise, custom-designed implants to restore the integrity and functionality of the thoracic cavity. Traditional implant design methods rely mainly on manual processes, making them time-
Externí odkaz:
http://arxiv.org/abs/2411.09204
Autor:
Abo-eleneen, Amr, Helmy, Menna, Abdellatif, Alaa Awad, Erbad, Aiman, Mohamed, Amr, Abdallah, Mohamed
In the face of increasing demand for zero-touch networks to automate network management and operations, two pivotal concepts have emerged: "Learn to Slice" (L2S) and "Slice to Learn" (S2L). L2S involves leveraging Artificial intelligence (AI) techniq
Externí odkaz:
http://arxiv.org/abs/2411.03686
We propose a distributed control law for a heterogeneous multi-robot coverage problem, where the robots could have different energy characteristics, such as capacity and depletion rates, due to their varying sizes, speeds, capabilities, and payloads.
Externí odkaz:
http://arxiv.org/abs/2411.02230
Accurate survival prediction in head and neck cancer (HNC) is essential for guiding clinical decision-making and optimizing treatment strategies. Traditional models, such as Cox proportional hazards, have been widely used but are limited in their abi
Externí odkaz:
http://arxiv.org/abs/2410.21831
The forthcoming 6G networks will embrace a new realm of AI-driven services that requires innovative network slicing strategies, namely slicing for AI, which involves the creation of customized network slices to meet Quality of service (QoS) requireme
Externí odkaz:
http://arxiv.org/abs/2411.02412
Survival prediction is a crucial task associated with cancer diagnosis and treatment planning. This paper presents a novel approach to survival prediction by harnessing comprehensive information from CT and PET scans, along with associated Genomic da
Externí odkaz:
http://arxiv.org/abs/2409.20179