most citedJulianA.jl -- A Julia package for radiotherapy

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physics.med-ph20241 cited

JulianA.jl -- A Julia package for radiotherapy

Renato Bellotti, Antony J. Lomax, Andreas Adelmann +1

The importance of computers is continually increasing in radiotherapy. Efficient algorithms, implementations and the ability to leverage advancements in computer science are crucia…

physics.med-ph2024

Clinical utility of automatic treatment planning for proton therapy of head-and-neck cancer patients using JulianA

Renato Bellotti, Alexey Cherchik, Jonas Willmann +3

Background: Automatic treatment planning promises many benefits for both research and clinical environments. For clinics, autoplanning promises to reduce planning time and achieve…

physics.med-ph2024

Diffusion Schrödinger Bridge Models for High-Quality MR-to-CT Synthesis for Head and Neck Proton Treatment Planning

Muheng Li, Xia Li, Sairos Safai +3

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 t…

physics.med-ph2024

Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction

Xia Li, Fabian Zhang, Muheng Li +4

Intra-fraction motion in radiotherapy is commonly modeled using deformable image registration (DIR). However, existing methods often struggle to balance speed and accuracy, limitin…

physics.med-ph2024

A Unified Generation-Registration Framework for Improved MR-based CT Synthesis in Proton Therapy

Xia Li, Renato Bellotti, Barbara Bachtiary +5

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 her…