Voxel Wise

Voxel-wise analysis involves processing and analyzing data on a per-voxel basis, offering high-resolution insights into three-dimensional structures. Current research focuses on improving efficiency and accuracy in various applications, employing diverse model architectures such as deep learning networks (including UNets and Transformers), voxel-based rendering techniques, and graph neural networks, often combined with innovative sampling and fusion strategies to handle large datasets. This approach is significantly impacting fields like medical imaging (e.g., brain tumor segmentation, age prediction), autonomous navigation (e.g., 3D object detection, mapping), and computer graphics (e.g., novel view synthesis), enabling more precise and efficient analysis and processing of complex 3D data.