Back to search

Article

From 3D Time-of-Flight Angiography to Accelerated 4D Arterial Spin Labeling Angiography: A Fast Few-Shot Transfer Learning Approach

2026-05-20

Abstract excerpt

<h4>Purpose</h4> To develop a data-efficient deep learning framework for rapid reconstruction of highly accelerated 4D arterial spin labeling (ASL) magnetic resonance angiography (MRA) with robust generalization using extremely limited acquired data, addressing the challenges of prolonged acquisition and reconstruction time. <h4>Methods</h4> A simulation-driven, few-shot transfer learning approach was adopted by...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
873084a4-e92c-5cc5-8e6d-dce52de5edfb
DOI
10.64898/2026.05.18.725892
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
From 3D Time-of-Flight Angiography to Accelerated 4D Arterial Spin Labeling Angiography: A Fast Few-Shot Transfer Learning ApproachDOI 10.64898/2026.05.18.725892
Select a neighboring publication to make it the new centre.