Learn how to convert AI-generated images into stunning 3D models using Meshy and After Effects in this step-by-step tutorial. Perfect for creators looking to add depth and motion to their designs. #3D ...

Vivian Health reports AI is revolutionizing medical imaging, enhancing speed, accuracy, and patient care through advanced ...

Mooser was careful not to downplay that these concerns about generative AI were a big part of what plunged Hollywood into a ...

The robustness and accuracy of the intensity-based 3D/2D registration of a 3D model on planar X-ray image(s) is related to the quality of the image correspondences between the digitally reconstructed ...

Organ shape reconstruction based on a single-projection image during treatment has wide clinical scope, e.g., in image-guided radiotherapy and surgical guidance. We propose an image-to-graph ...

This repository contains the code to train ConvNeXt models on 3D NIfTI images or 2D slices derived from these images. The script allows you to customize various aspects of the training process, ...

Here we use cryogenic electron microscopy to determine the structure of TbAQP2 from Trypanosoma brucei, bound to either the substrate glycerol or to the sleeping sickness drugs, pentamidine or ...

Based on several lines of interesting data, the authors conclude that FMRP, though associated with stalled ribosomes, does not determine the position on the mRNAs at which ribosomes stall. Although ...

[2025/07/06] We have released the training data, tokenizers and data generation code for VLN-R1. [2025/06/20] We release the VLN-R1 paper in arxiv. [2025/03/10] We release the training and validation ...

A new study introduces a diffractive optical framework for real-time 3D and multispectral imaging, eliminating digital ...

A team has created an application called PartCrafter that creates 3D models, in single or multiple parts, using AI based on 2D images for input.