The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …

Contrastive Language-Image Pre-training (CLIP), a simple yet effective pre-training
paradigm, successfully introduces text supervision to vision models. It has shown promising …

This paper introduces a novel top-down representation approach for deformable image
registration which estimates the deformation field by capturing various short-and long-range …

The inherent variability of lesions poses challenges in leveraging AI in 3D automated breast
ultrasound (ABUS) for lesion detection. Traditional methods based on single scans have …

Vision-language pre-training for chest X-rays has made significant strides, primarily by
utilizing paired radiographs and radiology reports. However, existing approaches often face …

Accurate treatment outcome assessment is crucial in clinical trials. However, due to the
image-reading subjectivity, there exist discrepancies among different radiologists. The …

Query-based Transformers have been yielding impressive results in object detection. The
potential of DETR-like methods for 3D data, especially in volumetric medical imaging …

The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …