We propose a novel deep learning framework for white matter fiber clustering, Deep Fiber Clustering (DFC), which solves the unsupervised clustering problem.

Apr 3, 2023 · We propose a novel deep learning framework for white matter fiber clustering, Deep Fiber Clustering (DFC), which solves the unsupervised clustering problem.

This code implements a deep learning method for white matter fiber clustering using diffusion MRI data, as described in the following paper.

A novel deep learning framework for WMFC, Deep Fiber Clustering (DFC), is proposed, which solves the unsupervised clustering problem as a self-supervised ...

White matter fiber clustering is an important strategy for white matter parcellation, which enables quantitative analysis of brain connections in health and ...

In this work, we propose a novel deep learning framework for white matter fiber clustering, Deep Fiber Clustering (DFC), which solves the unsupervised ...

In addition, DFC parcellates whole brain tractography with 50k fibers in about 1.5 minutes, providing a fast and efficient tool for large data analysis. * 10 ...

Jul 23, 2021 · Authors propose a self-supervised, deep convolutional neural network-based strategy to perform the fiber clustering task in an anatomically ...

Missing: DFC: | Show results with:DFC:

In this work, we propose a novel unsupervised deep learning framework for fast and effective fiber clustering. We adopt self-supervised learning by designing a ...