ArticleFrontiers in artificial intelligence2020
BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease.
Article in Frontiers in artificial intelligence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
33 citing papers in PubMed, 92 citations in OpenAlex.
- VeNet: a lightweight neural network for efficient brain vessel segmentation in endovascular robotic surgery.Scientific reports · 2026Article
- ASL 4D MRA Intracranial Vessel Segmentation With Deep Learning U-Nets.Magnetic resonance in medicine · 2026Article
- Cerebrovascular CTA radiomics for objective collateral grading in acute ischemic stroke.European radiology experimental · 2026Article
- Article
- Vessel segmentation forMagnetic resonance in medicine · 2026Article
- Semi-automatic annotation of brain vessels in magnetic resonance angiography images.Scientific data · 2025Article
- Article
- Automated Cerebrovascular Segmentation and Visualization of Intracranial Time-of-Flight Magnetic Resonance Angiography Based on Deep Learning.Journal of imaging informatics in medicine · 2025Article
- Accurate and robust segmentation of cerebral distal small arteries by DVNet with dual contextual path and vascular attention enhancement.Quantitative imaging in medicine and surgery · 2025Article
- Large Scale in vivo Acquisition, Segmentation and 3D Reconstruction of Cortical Vasculature usingNeuroinformatics · 2025Article
- Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney.Scientific reports · 2024Article
- Quantitative modeling of lenticulostriate arteries on 7-T TOF-MRA for cerebral small vessel disease.European radiology experimental · 2024Observational
- Deep Learning for 3D Vascular Segmentation in Phase Contrast Tomography.Research square · 2024Article
- Distinct brain morphometry patterns revealed by deep learning improve prediction of post-stroke aphasia severity.Communications medicine · 2024Article
- Streamlining neuroradiology workflow with AI for improved cerebrovascular structure monitoring.Scientific reports · 2024Article
- Automated intracranial vessel segmentation of 4D flow MRI data in patients with atherosclerotic stenosis using a convolutional neural network.Frontiers in radiology · 2024Article
- Deep learning-based multiclass segmentation in aneurysmal subarachnoid hemorrhage.Frontiers in neurology · 2024Article
- Distinct brain morphometry patterns revealed by deep learning improve prediction of aphasia severity.Research square · 2023Article
- Tubular Structure Segmentation via Multi-Scale Reverse Attention Sparse Convolution.Diagnostics (Basel, Switzerland) · 2023Article
- A dataset of rodent cerebrovasculature from in vivo multiphoton fluorescence microscopy imaging.Scientific data · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 6 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.