With the significant advancements of Large Language Models (LLMs) in the field of Natural
Language Processing (NLP), the development of image-text multimodal models has …

Recent advancements in Artificial Intelligence (AI) have significantly influenced the field of
Cardiovascular Disease (CVD) analysis, particularly in image-based diagnostics. Our paper …

Local feature matching enjoys wide-ranging applications in the realm of computer vision,
encompassing domains such as image retrieval, 3D reconstruction, and object recognition …

Purpose Deformable image registration establishes non-linear spatial correspondences
between fixed and moving images. Deep learning–based deformable registration methods …

Image-to-image translation can create large impact in medical imaging, as images can be
synthetically transformed to other modalities, sequence types, higher resolutions or lower …

With the significant advancements of Large Language Models (LLMs) in the field of Natural
Language Processing (NLP), the development of image-text multimodal models has …

Modern medical image registration approaches predict deformations using deep networks.
These approaches achieve state-of-the-art (SOTA) registration accuracy and are generally …

Deep-learning-based deformable image registration (DL-DIR) has demonstrated improved
accuracy compared to time-consuming non-DL methods across various anatomical sites …

Since the rise of deep learning, new medical segmentation methods have rapidly been
proposed with extremely promising results, often reporting marginal improvements on the …

Tagged magnetic resonance imaging (tMRI) has been employed for decades to measure
the motion of tissue undergoing deformation. However, registration-based motion estimation …