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09/06/2023
Kidney abnormality segmentation in thorax-abdomen CT scans
In this study, we introduce a deep learning approach for segmenting kidn...
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06/21/2023
Lumbar spine segmentation in MR images: a dataset and a public benchmark
This paper presents a large publicly available multi-center lumbar spine...
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11/29/2020
Constraining Volume Change in Learned Image Registration for Lung CTs
Deep-learning-based registration methods emerged as a fast alternative t...
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09/21/2020
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study
Amidst the ongoing pandemic, several studies have shown that COVID-19 cl...
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03/13/2020
Random smooth gray value transformations for cross modality learning with gray value invariant networks
Random transformations are commonly used for augmentation of the trainin...
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01/24/2020
VerSe: A Vertebrae Labelling and Segmentation Benchmark
In this paper we report the challenge set-up and results of the Large Sc...
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02/12/2019
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT
Cardiovascular disease (CVD) is the global leading cause of death. A str...
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10/04/2018
Direct Prediction of Cardiovascular Mortality from Low-dose Chest CT using Deep Learning
Cardiovascular disease (CVD) is a leading cause of death in the lung can...
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04/12/2018
Iterative fully convolutional neural networks for automatic vertebra segmentation
Precise segmentation of the vertebrae is often required for automatic de...
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12/08/2017
Direct and Real-Time Cardiovascular Risk Prediction
Coronary artery calcium (CAC) burden quantified in low-dose chest CT is ...
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11/24/2017
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis
In patients with coronary artery stenoses of intermediate severity, the ...
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11/01/2017