3 citations · 6 across the 8 of their papers we have counts for
5 papers · 1 filter
Portable surrogate-free 4D MRI from standard fast multi-slice 2D MRI via implicit neural representations
Muheng Li, Xinyang Wu, Xia Li +5
Four-dimensional MRI (4D MRI) characterizes respiratory organ motion, yet existing reconstruction pipelines are tightly coupled to specific acquisition platforms (e.g., non-Cartesi…
Neural Network-Driven Direct CBCT-Based Dose Calculation for Head-and-Neck Proton Treatment Planning
Muheng Li, Evangelia Choulilitsa, Lisa Fankhauser +3
Accurate dose calculation on cone beam computed tomography (CBCT) images is essential for modern proton treatment planning workflows, particularly when accounting for inter-fractio…
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…
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…
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…