GitHub

2D/3D Deformable Image registration using deep learning and convolutional variational networks, implemented using Tensorflow.

Deformable image registration is important for cancer treatments that utilize an MR-Linac (a linear accelerator with integrated magnetic resonance imaging). Traditional methods of two- and ...
Hosted on MSN

After Effects tutorial - Convert 2d image into 3d - 134

In this tutorial, I'll show you how to turn 2d image to 3d video. Use Displacement map. Hope it useful to you. Thanks for watching. Subscribe! subscribe subscribe subscribe subscribe Dodgers-Blue Jays ...
IEEE

A Multichannel Hybrid 2D–3D-CNN for Hyperspectral Image Classification With Small Training Sample Sizes

Abstract: This article presents an innovative multichannel hybrid 2D–3D-convolutional neural network (MH-2D-3D-CNN) model specifically designed for the challenging task of hyperspectral image ...
IEEE

MSR-Net: Mamba-Based Symmetric Architecture for 3D Spine Reconstruction from 2D Orthogonal X-ray Images

Abstract: Accurate 3D spine reconstruction is crucial for diagnosing spinal diseases, but traditional X-ray imaging is limited by tissue overlap, which blurs detailed 3D anatomical structures. While ...