ArticleNeuroImage. Clinical2017
Brain lesion segmentation through image synthesis and outlier detection.
Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 56 citations in OpenAlex.
- WMH-DualTasker: A Weakly Supervised Deep Learning Model for Automated White Matter Hyperintensities Segmentation and Visual Rating Prediction.Human brain mapping · 2025Article
- Lesion region inpainting: an approach for pseudo-healthy image synthesis in intracranial infection imaging.Frontiers in microbiology · 2024Article
- A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke.Scientific data · 2023Article
- Review on Hybrid Segmentation Methods for Identification of Brain Tumor in MRI.Contrast media & molecular imaging · 2022Review
- Confidence Region Identification and Contour Detection in MRI Image.Computational intelligence and neuroscience · 2022Article
- Automatic segmentation of white matter hyperintensities in routine clinical brain MRI by 2D VB-Net: A large-scale study.Frontiers in aging neuroscience · 2022Article
- An anomaly detection approach to identify chronic brain infarcts on MRI.Scientific reports · 2021Article
- Anomaly detection for the individual analysis of brain PET images.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- Automatic brain lesion segmentation on standard magnetic resonance images: a scoping review.BMJ open · 2021Article
- Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis.Scientific reports · 2020Article
- Dilated Saliency U-Net for White Matter Hyperintensities Segmentation Using Irregularity Age Map.Frontiers in aging neuroscience · 2019Article
- The Whole Picture: From Isolated to Global MRI Measures of Neurovascular and Neurodegenerative Disease.Advances in experimental medicine and biology · 2019Review
- SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder.NeuroImage. Clinical · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Cerebral small vessel disease (SVD) can manifest in a number of ways. Many of these result in hyperintense regions visible on
Indexed as
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.