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11/17/2022
DeepVoxNet2: Yet another CNN framework
We know that both the CNN mapping function and the sampling scheme are o...
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11/17/2022
Convolutional neural networks for medical image segmentation
In this article, we look into some essential aspects of convolutional ne...
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11/09/2022
Final infarct prediction in acute ischemic stroke
This article focuses on the control center of each human body: the brain...
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11/08/2022
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty
The clinical interest is often to measure the volume of a structure, whi...
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07/19/2022
The Dice loss in the context of missing or empty labels: Introducing Φ and ε
Albeit the Dice loss is one of the dominant loss functions in medical im...
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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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03/31/2021
Differentiable Deconvolution for Improved Stroke Perfusion Analysis
Perfusion imaging is the current gold standard for acute ischemic stroke...
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11/23/2020
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging
Our motivating application is a real-world problem: COVID-19 classificat...
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10/09/2020
Unsupervised 3D Brain Anomaly Detection
Anomaly detection (AD) is the identification of data samples that do not...
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10/04/2020
AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning
Perfusion imaging is crucial in acute ischemic stroke for quantifying th...
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07/29/2020
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
Recent research on COVID-19 suggests that CT imaging provides useful inf...
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02/03/2020
Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data
The evaluation of white matter lesion progression is an important biomar...
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11/06/2019
Optimization with soft Dice can lead to a volumetric bias
Segmentation is a fundamental task in medical image analysis. The clinic...
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11/05/2019
Detection of vertebral fractures in CT using 3D Convolutional Neural Networks
Osteoporosis induced fractures occur worldwide about every 3 seconds. Ve...
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12/06/2018
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning
CT Perfusion (CTP) imaging has gained importance in the diagnosis of acu...
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10/11/2018