[HTML][HTML] Neuro4Neuro: a neural network approach for neural tract segmentation using large-scale population-based diffusion imaging

B Li, M De Groot, RME Steketee, R Meijboom, M Smits… - Neuroimage, 2020 - Elsevier
… algorithm, while being orders of magnitude faster (0.5s to segment one tract). In addition,
we … for WM tract segmentation that has the potential of being used in large-scale studies and …

Reproducible white matter tract segmentation using 3D U-Net on a large-scale DTI dataset

B Li, M de Groot, MW Vernooij, MA Ikram… - Machine Learning in …, 2018 - Springer
… We conclude that our direct WM tract segmentation method has very good reproducibility …
based method of WM tract segmentation developed on such a large-scale dataset. Our method …

Deep white matter analysis (DeepWMA): fast and consistent tractography segmentation

F Zhang, SC Karayumak, N Hoffmann, Y Rathi… - Medical Image …, 2020 - Elsevier
tract segmentation methods. Experimental results show that our method obtains a highly
consistent tract segmentation … Third, we demonstrate successful tract segmentation on a large

Combined tract segmentation and orientation mapping for bundle-specific tractography

J Wasserthal, PF Neher, D Hirjak, KH Maier-Hein - Medical image analysis, 2019 - Elsevier
… for our three tasks (tract segmentation, start/end region segmentation and tract orientation
mapping) some preprocessing was necessary: For the tract segmentation we convert the …

Automatic tractography segmentation using a high-dimensional white matter atlas

LJ O'Donnell, CF Westin - IEEE transactions on medical …, 2007 - ieeexplore.ieee.org
… After segmentation, tractography then becomes useful in applications such as the localization
of specific tracts for surgical planning and the definition of tract … automatic segmentation of …

White matter tract segmentation as multiple linear assignment problems

N Sharmin, E Olivetti, P Avesani - Frontiers in Neuroscience, 2018 - frontiersin.org
… , segmented tracts from different subjects. We present a supervised tract segmentation method
that segments a given tract … Our proposed tract segmentation method is based on the idea …

Multi-scale context-guided deep network for automated lesion segmentation with endoscopy images of gastrointestinal tract

S Wang, Y Cong, H Zhu, X Chen, L Qu… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
segmentation in endoscopy images of GI Tract, in this paper, we have proposed a multi-scale
The designed multi-scale context-guided mechanism can effectively exploit the high-level …

[HTML][HTML] Volumetric segmentation of white matter tracts with label embedding

W Liu, Q Lu, Z Zhuo, Y Li, Y Duan, P Yu, L Qu, C Ye… - Neuroimage, 2022 - Elsevier
tract segmentation approaches, so that the segmentation quality can be improved for
challenging WM tracts as well as for other WM tracts, … Since the volumetric segmentation strategy …

Direct segmentation of the major white matter tracts in diffusion tensor images

PL Bazin, C Ye, JA Bogovic, N Shiee, DS Reich… - Neuroimage, 2011 - Elsevier
… In this work, we present a new approach to fiber tract segmentation capable of accurate …
impact on the segmentation, as a larger scale is better at representing tracts with large individual …

Fully automated segmentation of the corticospinal tract using the TractSeg algorithm in patients with brain tumors

TJ Richards, KL Anderson, JS Anderson - Clinical Neurology and …, 2021 - Elsevier
… The TractSeg algorithm demonstrated robust performance in segmenting the corticospinal
tract in patients with brain tumors adjacent to this tract. The algorithm is fast to perform and …