Zobrazeno 1 - 10
of 4 329
pro vyhledávání: '"P. Lomax"'
Autor:
Bellotti, Renato, Bizzocchi, Nicola, Lomax, Antony J., Adelmann, Andreas, Weber, Damien C., Hrbacek, Jan
Purpose: Beam angle selection is critical in proton therapy treatment planning, yet automated approaches remain underexplored. This study presents and evaluates GAMBAS, a novel, fast machine learning model for automatic beam angle selection. Methods:
Externí odkaz:
http://arxiv.org/abs/2408.01206
The importance of computers is continually increasing in radiotherapy. Efficient algorithms, implementations and the ability to leverage advancements in computer science are crucial to improve cancer care even further and deliver the best treatment t
Externí odkaz:
http://arxiv.org/abs/2407.03858
Autor:
Bellotti, Renato, Cherchik, Alexey, Willmann, Jonas, Lomax, A., Weber, Damien Charles, Hrbacek, Jan
Background: Automatic treatment planning promises many benefits for both research and clinical environments. For clinics, autoplanning promises to reduce planning time and achieve more comparable treatment plans and thereby reduce inter-planner varia
Externí odkaz:
http://arxiv.org/abs/2406.00511
Motion information from 4D medical imaging offers critical insights into dynamic changes in patient anatomy for clinical assessments and radiotherapy planning and, thereby, enhances the capabilities of 3D image analysis. However, inherent physical an
Externí odkaz:
http://arxiv.org/abs/2405.15385
Background and purpose: Deformable image registration (DIR) is a crucial tool in radiotherapy for extracting and modelling organ motion. However, when significant changes and sliding boundaries are present, it faces compromised accuracy and uncertain
Externí odkaz:
http://arxiv.org/abs/2405.00430
In recent advancements in proton therapy, MR-based treatment planning is gaining momentum to minimize additional radiation exposure compared to traditional CT-based methods. This transition highlights the critical need for accurate MR-to-CT image syn
Externí odkaz:
http://arxiv.org/abs/2404.11741
Autor:
Lomax, Anthony
Most earthquake energy release arises during fault slip many kilometers below the Earth's surface. Understanding earthquakes and their hazard requires mapping the geometry and distribution of this slip. Such finite-fault maps are typically derived fr
Externí odkaz:
http://arxiv.org/abs/2404.05437
Autor:
Li, Xia, Zhang, Fabian, Li, Muheng, Weber, Damien, Lomax, Antony, Buhmann, Joachim, Zhang, Ye
Intra-fraction motion in radiotherapy is commonly modeled using deformable image registration (DIR). However, existing methods often struggle to balance speed and accuracy, limiting their applicability in clinical scenarios. This study introduces a n
Externí odkaz:
http://arxiv.org/abs/2402.05568
Autor:
Li, Xia, Bellotti, Renato, Bachtiary, Barbara, Hrbacek, Jan, Weber, Damien C., Lomax, Antony J., Buhmann, Joachim M., Zhang, Ye
Background: In MR-guided proton therapy planning, aligning MR and CT images is key for MR-based CT synthesis, especially in mobile regions like the head-and-neck. Misalignments here can lead to less accurate synthetic CT (sCT) images, impacting treat
Externí odkaz:
http://arxiv.org/abs/2401.12878
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-13 (2024)
Abstract Precipitation variability is forecast to increase under climate change but its impacts on vegetation productivity are complex. Here, we use generalised additive models and remote sensing-derived datasets to quantify the effect of precipitati
Externí odkaz:
https://doaj.org/article/f12949e490ed432e9ee08a5764161475