Image Reconstruction Dataset. 2017-07-19: Initial release of Apr 1, 2025 · Trackerless 3D F

2017-07-19: Initial release of Apr 1, 2025 · Trackerless 3D Freehand Ultrasound Reconstruction (TUS-REC2025) Challenge Reconstructing 2D Ultrasound (US) images into a 3D volume enables 3D representations of anatomy to be generated which are beneficial to a wide range of downstream tasks such as quantitative biometric measurement, multimodal registration, and 3D visualisation. In this study, we reconstructed visual images by combining local image bases of multiple scales, whose contrasts were independently decoded from fMRI activity by automatically selecting relevant vox- els and exploiting their correlated patterns. - sicxu/Deep3DFaceRecon_pytorch This dataset contains CoarseData (if you are looking for the expression model, find it here) and FineData augmented from 3131 images of 300-W with the method described in the paper CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images. Using traditional image processing techniques to construct 3D point cloud of objects. Contribute to MedARC-AI/fMRI-reconstruction-NSD development by creating an account on GitHub. Plate motion based on Global Positioning System (GPS) satellite data from NASA JPL. It contains multiple datasets used for training and testing, as well as the trained models and results (predictions and metrics). . Dec 18, 2025 · To address this gap, we present a cone-beam photon-counting CT (PCCT) dataset acquired using a custom-built micro-PCCT system and 15 walnut samples. Each red dot is a measuring point and vectors show direction and magnitude of motion.

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