Turn Any Photo into a 3D Model with SAM 3D : From One Snapshot to Shareable Mesh

Turn photos into 3D with Meta's SAM 3D, using SAM 2 masks and Gaussian splatting, so you can build assets quickly for ...
GitHub

T1Prep: T1 PREProcessing Pipeline (aka PyCAT)

T1Prep is a pipeline that preprocesses T1-weighted MRI data and supports segmentation and cortical surface reconstruction. It provides a complete set of tools for efficiently processing structural MRI ...
IEEE

SegMamba-V2: Long-range Sequential Modeling Mamba For General 3D Medical Image Segmentation

Abstract: The Transformer architecture has demonstrated remarkable results in 3D medical image segmentation due to its capability of modeling global relationships. However, it poses a significant ...
IEEE

Learnable Prompting SAM-Induced Knowledge Distillation for Semi-Supervised Medical Image Segmentation

Abstract: The limited availability of labeled data has driven advancements in semi-supervised learning for medical image segmentation. Modern large-scale models tailored for general segmentation, such ...