most citedGaussian Primitives for Deformable Image Registration

3 citations · 9 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2024★ 3 cited

Gaussian Primitives for Deformable Image Registration

Jihe Li, Xiang Liu, Fabian Zhang +4

Deformable Image Registration (DIR) is essential for aligning medical images that exhibit anatomical variations, facilitating applications such as disease tracking and radiotherapy…

cs.RO2024

TAMBRIDGE: Bridging Frame-Centered Tracking and 3D Gaussian Splatting for Enhanced SLAM

Peifeng Jiang, Hong Liu, Xia Li +3

The limited robustness of 3D Gaussian Splatting (3DGS) to motion blur and camera noise, along with its poor real-time performance, restricts its application in robotic SLAM tasks.…

cs.CV2024

CPT-Interp: Continuous sPatial and Temporal Motion Modeling for 4D Medical Image Interpolation

Xia Li, Runzhao Yang, Xiangtai Li +3

Motion information from 4D medical imaging offers critical insights into dynamic changes in patient anatomy for clinical assessments and radiotherapy planning and, thereby, enhance…

physics.med-ph2024★ 3 cited

Continuous sPatial-Temporal Deformable Image Registration (CPT-DIR) for motion modelling in radiotherapy: beyond classic voxel-based methods

Xia Li, Runzhao Yang, Muheng Li +4

Deformable image registration (DIR) is a crucial tool in radiotherapy for analyzing anatomical changes and motion patterns. Current DIR implementations rely on discrete volumetric…

cs.CV2024

Point-In-Context: Understanding Point Cloud via In-Context Learning

Mengyuan Liu, Zhongbin Fang, Xia Li +4

The rise of large-scale models has catalyzed in-context learning as a powerful approach for multitasking, particularly in natural language and image processing. However, its applic…

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★ 3 cited

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…