DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural
Networks

DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks

7 June 2019

Papers citing "DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks"

6 / 6 papers shown

Title
TractCloud: Registration-free tractography parcellation with a novel local-global streamline point cloud representation Tengfei Xue Yuqian Chen Chaoyi Zhang A. Golby N. Makris Yogesh Rathi Weidong (Tom) Cai Fan Zhang L. O’Donnell DiffM 42 7 0 18 Jul 2023
Superficial White Matter Analysis: An Efficient Point-cloud-based Deep Learning Framework with Supervised Contrastive Learning for Consistent Tractography Parcellation across Populations and dMRI Acquisitions Tengfei Xue Fan Zhang Chaoyi Zhang Yuqian Chen Yang Song A. Golby N. Makris Yogesh Rathi Weidong (Tom) Cai L. O’Donnell 18 32 0 18 Jul 2022
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation Yuqian Chen Chaoyi Zhang Tengfei Xue Yang Song N. Makris Yogesh Rathi Weidong (Tom) Cai Fan Zhang L. O’Donnell 47 19 0 02 May 2022
SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning Tengfei Xue Fan Zhang Chaoyi Zhang Yuqian Chen Yang Song N. Makris Yogesh Rathi Weidong (Tom) Cai L. O’Donnell 39 19 0 29 Jan 2022
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging Bo Li M. Groot Rebecca M. E. Steketee R. Meijboom M. Smits Meike W. Vernooij M. Ikram Jiren Liu W. Niessen Esther E. Bron MedIm 24 31 0 26 May 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 264 3,246 0 24 Nov 2016