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12/31/2022
Approaching Peak Ground Truth
Machine learning models are typically evaluated by computing similarity ...
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06/14/2022
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
Magnetic resonance imaging (MRI) is a central modality for stroke imagin...
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05/17/2022
blob loss: instance imbalance aware loss functions for semantic segmentation
Deep convolutional neural networks have proven to be remarkably effectiv...
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10/24/2021
A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images
Collateral circulation results from specialized anastomotic channels whi...
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03/10/2021
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient
In this study, we explore quantitative correlates of qualitative human e...
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03/25/2018
DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes
We present DeepVesselNet, an architecture tailored to the challenges to ...
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04/12/2017