GitHub

Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation

Few-shot Adaptation of Training-frEe SAM (FATE-SAM) is a versatile framework for 3D medical image segmentation that adapts the pretrained SAM2 model without fine-tuning. By leveraging a support ...
IEEE

vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation

Abstract: Segmenting 3D blood vessels is a critical yet challenging task in medical image analysis. This is due to significant imaging modality-specific variations in artifacts, vascular patterns and ...
IEEE

Revisiting Clip: Efficient Alignment of 3D MRI and Tabular Data Using Domain-Specific Foundation Models

Abstract: Multi-modal models require aligned, shared embedding spaces. However, common CLIP-based approaches need large amounts of samples and do not natively support 3D or tabular data, both of which ...
Gizmochina

XREAL 1S is the world’s first AR glasses with automatic 2D-to-3D video conversion

XREAL is wrapping up 2025 with the launch of a new entry-level AR glasses model, the XREAL 1S. It sits below the more expensive XREAL One Pro (announced in July) in the lineup and is the first in the ...