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20232025
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cs.CV2025

UniReg: A Universal Model for Controllable CT Image Registration

Zi Li, Jianpeng Zhang, Tai Ma +7

Learning-based medical image registration has matched the accuracy of conventional methods while offering superior computational efficiency. However, existing approaches suffer fro…

cs.CV2024

Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models

Weiwei Cao, Jianpeng Zhang, Yingda Xia +7

Radiologists highly desire fully automated versatile AI for medical imaging interpretation. However, the lack of extensively annotated large-scale multi-disease datasets has hinder…

cs.CV2024

Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration

Tony C. W. Mok, Zi Li, Yunhao Bai +9

Establishing dense anatomical correspondence across distinct imaging modalities is a foundational yet challenging procedure for numerous medical image analysis studies and image-gu…

cs.CV2023

SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation

Lin Tian, Zi Li, Fengze Liu +7

Image registration is a fundamental medical image analysis task. Ideally, registration should focus on aligning semantically corresponding voxels, i.e., the same anatomical locatio…

cs.CV2023

Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images

Xiaoyu Bai, Fan Bai, Xiaofei Huo +10

Radiotherapists require accurate registration of MR/CT images to effectively use information from both modalities. In a typical registration pipeline, rigid or affine transformatio…

cs.CV2023

SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid

Zi Li, Lin Tian, Tony C. W. Mok +8

Estimating displacement vector field via a cost volume computed in the feature space has shown great success in image registration, but it suffers excessive computation burdens. Mo…