Paul Stöwer

16MAY 2023
Ph.D. Gallery
Prathmesh Madhu
Concepts to Computational Constructs: Advanced Scene Understanding for Heterogeneous Artworks Using Deep Learning Due to the mass digitisation of paintings, manual examination and understandingof individual images is a cumbersome task. Developing automatic methods usingcomputer vision and machine learning techniques is extremely useful for humanitiesexperts, who are generally interested in understanding the origin of objects, iconographies,and […]Concepts to Computational Constructs: Advanced Scene Understanding for Heterogeneous Artworks Using Deep Learning Due to the mass digitisation of paintings, manual examination and understandingof individual images is a cumbersome task. Developing automatic methods usingcomputer vision and machine learning techniques is extremely useful for humanitiesexperts, who are generally interested in understanding the origin of objects, iconographies,and […]
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16JAN 2023
Ph.D. Gallery
Christoph Seeger
Obstacle Fusion and Scene Interpretation for Autonomous Driving with Occupancy Grids Autonomous driving is, besides electrification, currently one of the most competitiveareas in the automotive industry. A substantially challenging part of autonomousvehicles is the reliable perception of the driving environment. This dissertation isconcerned with improving the sensor-based perception and classification of the staticdriving environment. In […]Obstacle Fusion and Scene Interpretation for Autonomous Driving with Occupancy Grids Autonomous driving is, besides electrification, currently one of the most competitiveareas in the automotive industry. A substantially challenging part of autonomousvehicles is the reliable perception of the driving environment. This dissertation isconcerned with improving the sensor-based perception and classification of the staticdriving environment. In […]
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16JAN 2023
Ph.D. Gallery
<strong>Matthias Utzschneider </strong>
Acquisition- and Reconstruction-Techniques for Sodium Quantification in the Skeletal Muscle using Sodium Magnetic Resonance Imaging (23Na MRI) Measurement of the tissue sodium concentration (TSC) in human tissue offers important insights into pathological- and biological processes with applications in nephrology, neurology and myology. The TSC can be determined non-invasively by sodium magnetic resonance imaging (23Na MRI). […]Acquisition- and Reconstruction-Techniques for Sodium Quantification in the Skeletal Muscle using Sodium Magnetic Resonance Imaging (23Na MRI) Measurement of the tissue sodium concentration (TSC) in human tissue offers important insights into pathological- and biological processes with applications in nephrology, neurology and myology. The TSC can be determined non-invasively by sodium magnetic resonance imaging (23Na MRI). […]
Read more about <strong>Matthias Utzschneider </strong>
16JAN 2023
Ph.D. Gallery
<strong>Juan Camilo Vasquez Correa</strong>
Multimodal Assessment of Parkinson’s Disease Patients using Information from Speech, Handwriting, and Gait The automatic analysis of different bio-signals from patients with Parkinson’s disease is a highly relevant topic that has been addressed by the research community within several years. Identifying bio-markers for early and differential diagnosis, severity assessment, and response to therapy is a […]Multimodal Assessment of Parkinson’s Disease Patients using Information from Speech, Handwriting, and Gait The automatic analysis of different bio-signals from patients with Parkinson’s disease is a highly relevant topic that has been addressed by the research community within several years. Identifying bio-markers for early and differential diagnosis, severity assessment, and response to therapy is a […]
Read more about <strong>Juan Camilo Vasquez Correa</strong>
27OCT 2022
Ph.D. Gallery
Nadine Rücker
Log File Processing – Changes, Challenges, and Chance Log files are plain text files written by any modern computer system. Their content is determined by logging statements during software development. Thus, any kind of event can be collected during runtime. As a result, logs contain a wealth of precious information that is used for various […]
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27OCT 2022
Ph.D. Gallery
Tomás Arias-Vergara
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 months) and long-term (5 years).Machine learning methods are used to perform three tasks: (1) automatic classification […]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 months) and long-term (5 years).Machine learning methods are used to perform three tasks: (1) automatic classification […]
Read more about Tomás Arias-Vergara