Ph.D. Gallery

Analysis of Pathological Speech Signals The present thesis addresses the automatic analysis of speech disorders resulting from Parkinson's disease and hearing loss.For Parkinson's disease, the progression of speech symptoms is evaluated considering speech recordings captured in the short-term (4...

Using Contextual Information to Process Out-of-Vocabulary Words in Spoken Dialog Systems Speech is a very efficient channel for communication, but it is a challenge to cope with words which are unknown to one of the dialogue partners. Human beings are very good at dealing with words that are not...

Point-based Registration of Vascular Structures: Applications for Diagnostic and Interventional Procedures With the introduction of computer-aided methods for diagnosis and intervention, patient outcomes of many clinical procedures have been increased tremendously in the last decades. An essenti...

Quantitative Biomarkers for Abdominal Magnetic Resonance Imaging The global prevalence of various metabolic pathologies, such as the metabolic syndrome, obesity, diabetes or nonalcoholic fatty liver disease (NAFLD) has increased steadily in recent decades, and takes on the proportions of a world...

Deep Learning-based Cell Detection in Microscopy Images In recent years, classical pathology has been in a constant state of change towards digital pathology. Digitisation forms the basis for supporting the work of pathologists in many ways by utilising computer-assisted methods. Among other thi...

Hyperspectral Image Analysis using Limited Data This thesis studies the use case of hyperspectral images in two applications, namely remote sensing and art history. The common challenge that is present in both these applications is the limited availability of labeled data. This limitation is cau...

Acquisition and Reconstruction Methods for Multidimensional and Quantitative MRI Magnetic Resonance Imaging (MRI) is a tomographic imaging technique using the principles of nuclear magnetism of mostly the hydrogen nuclei, which are largely contained in the human body. This allows for insights t...

Artificial Intelligence based Methods for Atrial Fibrillation Ablation Procedures As one of the most common types of heart arrhythmias, atrial fibrillation is a severe disorder of the heart rhythm affecting the left atrium. Among the most serious complications count stroke and tachycardia mediat...

Model-Based and Data-Driven Geometry Alignment for Angiography Systems Tomography is the reconstruction of internal structures based on a sensory signal. X-ray cone-beam computed tomography (CBCT) measures the X-ray absorption with a source-detector gantry mounted on a C-shaped arm that rotates ...

Applications of Data Consistency Conditions in Cone-Beam Computed Tomography The mathematical model of computed tomography data acquisition shows that every such measurement contains a degree of redundancy. This redundancy can be used to formulate data consistency conditions which enable quantif...