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Št. zadetkov: 4
DiffuseRT: predicting likely anatomical deformations of patients undergoing radiotherapy
A. Smolders, Luciano Rivetti, N. Vatterodt, S. S. Korreman, A. Lomax, Manju Sharma, Andrej Studen, D. C. Weber, Robert Jeraj, F. Albertini
Izvirni znanstveni članek
Oznake: medicinsko slikanje;radioterapija;globoko učenje;medical imaging;radiotherapy;deep learning;
Objective. Predicting potential deformations of patients can improve radiotherapy treatment planning. Here, we introduce new deep-learning models that predict likely anatomical changes during radiotherapy for head and neck cancer patients. Approach. Denoising diffusion probabilistic models (DDPMs) w ...
Leto: 2024 Vir: Fakulteta za matematiko in fiziko (UL FMF)
Vpliv osebne znamke športnika in njegovih dosežkov na uspešnost podjetja
Albertina Sarah Bertoncelj, Miro Kline
Diplomsko delo
Oznake: prepoznavnost znamke;Blagovne znamke;Trženje;Športniki;Diplomska dela;
Vpliv osebne znamke športnika in njegovih dosežkov na uspešnost podjetja
Leto: 2016 Vir: Fakulteta za družbene vede (UL FDV)
External validation of a risk score model for predicting major clinical events in adults after atrial switch
Mathieu Albertini, Beatrice Santens, Flavia Fusco, Berardo Sarubbi, Pastora Gallego, Maria-Jose Rodriguez-Puras, Katja Prokšelj, Robert Martijn Kauling
Izvirni znanstveni članek
Oznake: atrial switch;heart failure;risk score;transposition of the great arteries;
Background: A risk model has been proposed to provide a patient individualized estimation of risk for major clinical events (heart failure events, ventricular arrhythmia, all‐cause mortality) in patients with transposition of the great arteries and atrial switch surgery. We aimed to externally valid ...
Leto: 2024 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
ǂThe ǂsurface-topography challenge
A. Pradhan, M. H. Müser, N. Miller, J. P. Abdelnabe, L. Afferrante, D. Albertini, D. A. Aldave, L. Algieri, N. Ali, A. Almqvist, Mitjan Kalin, Marko Polajnar, Tomaž Požar, Anastasia Samodurova
Izvirni znanstveni članek
Oznake: surface topography;roughness metrics;multi-scale topography;
Surface performance is critically influenced by topography in virtually all real-world applications. The current standard practice is to describe topography using one of a few industry-standard parameters. The most commonly reported number is a, the average absolute deviation of the height from the ...
Leto: 2025 Vir: Fakulteta za strojništvo (UL FS)
Št. zadetkov: 4
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