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Browsing Master in Computational Biomedical Engineering. Master Thesis projects by Issue Date
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- Browsing Master in Computational Biomedical Engineering. Master Thesis projects by Issue Date
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Browsing Master in Computational Biomedical Engineering. Master Thesis projects by Issue Date
Now showing items 1-9 of 9
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(2017-07)In this work we present a placenta and vessel segmentation method for a medical application for Twin-to-Twin Transfusion Syndrome (TTTS). TTTS is a fetal disease that occurs in twin monochorionic pregnancies and can be ...
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(2018-07)This work cannot be considered to stand alone, in fact it is part of a larger national project called HOLOA, which stands for Holistic Osteoarthritis. In the HOLOA project, the study of Osteoarthritis disease begins with ...
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(2019-07)The analysis of neuronal recordings is important for the understanding of the human brain. Epilepsy is a neurological disorder characterized by a synchronous neuronal activity in the brain, that causes seizures. This ...
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(2019-07)Medical care is currently provided in clinical practice according to the “one-size-fitsall” approach, through which all patients suffering from the same symptoms and diseases receive the same treatment. Despite its wide ...
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(2019-07)Atrial fibrillation (AF) is the most common clinically significant arrhythmia, often severely disrupting cardiac hemodynamics and drastically increasing the risk of thromboembolic events. Around 90% of such intracardiac ...
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(2019-07)The pathophysiological complexity and heterogeneity of the heart failure with preserved ejection fraction (HFpEF) syndrome is not fully captured by clinical guidelines, which oversimplify the condition to standardize ...
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(2019-07)Left atrial hemodynamics has acquired certain interest due to its role in the pathophysiology of thrombus formation in patients with atrial fibrillation. Computational fluid dynamics (CFD) has proven to be a valuable ...
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(2020)A considerable number of sudden unexpected cardiac deaths occur every year in developed countries. Non-invasive techniques to identify patients at risk, provide accurate diagnosis and ablation guidance therapy currently ...
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(2023-10-18)In recent years, Deep Learning (DL) models have achieved state-of-the-art performance in automatic segmentation of medical images. However, to obtain good results, large and accurately annotated datasets are required for ...
Now showing items 1-9 of 9
