ArticleNeuroImage2020
FastSurfer - A fast and accurate deep learning based neuroimaging pipeline.
Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 328 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
328 citing papers in PubMed, 618 citations in OpenAlex.
- White matter microstructure and motor function in amnestic mild cognitive impairment and Alzheimer's dementia.Neuroimage. Reports · 2026Article
- p-Brain: A Modular Open-Source Framework for Automated Quantitative DCE-MRI of Cerebral Perfusion, Microvasculature, and Blood-Brain Barrier Permeability.Magnetic resonance in medicine · 2026Article
- Associations Between Teenage Motherhood, Perinatal Cortical Maturation, and Risk of Psychopathology in Children: The Mediating Role of Pregnancy Complications.Biological psychiatry global open science · 2026Article
- Comparative Systematic Analysis of Gray Matter Biophysical Models on a Public Dataset.Magnetic resonance in medicine · 2026Article
- Advancing the Volumetric Analysis of Ultra-Low-Field Brain MRI Using Image-to-Image Translation.Magnetic resonance in medicine · 2026Article
- A review of self-supervised imaging phenotypes for genome-wide association studies.Communications biology · 2026Review
- Field-Strength Dependence of Automated Subcortical Volumetry: A Paired 3 T-7 T Benchmarking Study of BrainSuite, FastSurfer and NextBrain.Journal of imaging informatics in medicine · 2026Article
- FastSurfer-Based Brain Morphometry and Machine-Learning Classification Across the Alzheimer's Disease Spectrum.Brain sciences · 2026Article
- PREDICT-GBM: A multicenter platform advancing personalized glioblastoma radiotherapy planning.NPJ digital medicine · 2026Article
- Comparative Study of Anatomical and Learned Features in AI Models for Structural Brain MRI.Research square · 2026Article
- Tracking the changes in longitudinal MRI-detected perivascular spaces following ischaemic stroke.European stroke journal · 2026Article
- Comparison of volume- and surface-based magnetic resonance imaging morphometry algorithms in the detection of focal cortical dysplasia.Epilepsia · 2026Article
- CIVET-Chimp: An automated pipeline for MRI-based cortical surface extraction in chimpanzees.Neuroimage. Reports · 2026Article
- Ceruloplasmin deficiency drives a fusiform-centric lipid-myelin pathology underlying a visual subtype in autism.Molecular psychiatry · 2026Article
- A diffusion MRI-based structural assessment of the striatal compartments, striosome and matrix, in Obsessive Compulsive Disorder.Research square · 2026Article
- Low-dose CT for MRI-free quantification of tau PET in Alzheimer's disease: a multicentre, cross-sectional, comparison study.The Lancet medical imaging & theranostics · 2026Article
- Inclusion of intracranial volume as a covariate feature improves MRI-based Alzheimer's disease classification.Magma (New York, N.Y.) · 2026Article
- Vulnerability of locus coeruleus connections to aging and Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Identifying pre-treatment risk factors for cancer-related cognitive decline in patients with breast cancer.Breast (Edinburgh, Scotland) · 2026Article
- Article
268 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Traditional neuroimage analysis pipelines involve computationally intensive, time-consuming optimization steps, and thus, do not scale well to large cohort studies with thousands or tens of thousands of individuals. In this work we propose a fast and accurate deep learning based neuroimaging pipeline for the automated processing of structural human brain MRI scans, replicating FreeSurfer's anatomical segmentation including surface reconstruction and cortical parcellation. To this end, we introduce an advanced deep learning architecture capable of whole-brain segmentation into 95 classes. The network architecture incorporates local and global competition via competitive dense blocks and competitive skip pathways, as well as multi-slice information aggregation that specifically tailor network performance towards accurate segmentation of both cortical and subcortical structures. Further, we perform fast cortical surface reconstruction and thickness analysis by introducing a spectral spherical embedding and by directly mapping the cortical labels from the image to the surface. This approach provides a full FreeSurfer alternative for volumetric analysis (in under 1 min) and surface-based thickness analysis (within only around 1 h runtime). For sustainability of this approach we perform extensive validation: we assert high segmentation accuracy on several unseen datasets, measure generalizability and demonstrate increased test-retest reliability, and high sensitivity to group differences in dementia.
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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.