Deep learning based geometric registration for medical images: How accurate can we get without visual features?

1 March 2021

Papers citing "Deep learning based geometric registration for medical images: How accurate can we get without visual features?"

8 / 8 papers shown

Title
SynBench: A Synthetic Benchmark for Non-rigid 3D Point Cloud Registration Sara Monji-Azad Marvin Kinz Claudia Scherl David Männle Jurgen Hesser Nikolas Löw 3DPC 25 0 0 22 Sep 2024
Unsupervised 3D registration through optimization-guided cyclical self-training Alexander Bigalke Lasse Hansen Tony C. W. Mok M. Heinrich 3DPC SSL 22 8 0 29 Jun 2023
A denoised Mean Teacher for domain adaptive point cloud registration Alexander Bigalke M. Heinrich OOD 21 3 0 26 Jun 2023
Robust-DefReg: A Robust Deformable Point Cloud Registration Method based on Graph Convolutional Neural Networks Sara Monji-Azad Marvin Kinz Jurgen Hesser 3DPC 27 1 0 07 Jun 2023
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts Alexander Bigalke Lasse Hansen M. Heinrich OOD 11 9 0 01 Jul 2022
Accurate Point Cloud Registration with Robust Optimal Transport Zhengyang Shen Jean Feydy Peirong Liu A. Curiale R. S. J. Estépar Raúl San José Estépar Marc Niethammer 3DPC OOD OT 16 52 0 01 Nov 2021
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport Gilles Puy Alexandre Boulch Renaud Marlet 3DPC OT 127 183 0 22 Jul 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 250 3,236 0 24 Nov 2016