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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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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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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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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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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
