Neural deformation fields for template-based reconstruction of cortical surfaces from MRI

23 January 2024

Papers citing "Neural deformation fields for template-based reconstruction of cortical surfaces from MRI"

6 / 6 papers shown

Title
From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction Fengming Lin Arezoo Zakeri Yidan Xue Michael MacRaild Haoran Dou Zherui Zhou Ziwei Zou Ali Sarrami-Foroushani Jinming Duan Alejandro F Frangi 3DV MedIm 32 0 0 06 May 2025
V2C-Long: Longitudinal Cortex Reconstruction with Spatiotemporal Correspondence Fabian Bongratz Jan Fecht Anne-Marie Rickmann Christian Wachinger 49 0 0 20 Feb 2025
A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction Fanwei Kong N. Wilson S. Shadden MedIm AI4CE 47 82 0 16 Feb 2021
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows Kunal Gupta Manmohan Chandraker AI4CE 52 78 0 21 Jul 2020
3D-CODED : 3D Correspondences by Deep Deformation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 115 325 0 13 Jun 2018
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy Christian Wachinger M. Reuter T. Klein 3DV 34 330 0 27 Feb 2017