Ph.D. Gallery

Browse all posts in the Ph.D. Gallery category.

13 to 18 of 106

04JUL 2023
Ph.D. Gallery
Ingmar Voigt
Robust Heart Valve Modeling & Advanced Computational Decision Support Valvular heart disease (VHD) is a major public health problem with a prevalence of 2.5% in the US. Tens of thousands of minimally invasive procedures are performed every year and new therapeutical approaches are continuously developed at a rapid pace. Major clinical decisions and therapies are […]
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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 […]
Read more about Christoph Seeger
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>
31OCT 2022
Ph.D. Gallery
Lina Felsner
Advanced 3-D Reconstruction of Talbot-Lau Data X-ray imaging is a standard technique for examinations and interventions in medicine. Based on X-rays, Phase-Contrast Imaging (PCI) can provide an excellent soft-tissue contrast. The most promising setup for measuring phase-contrast in a medical context is the Talbot-Lau Interferometer (TLI), where specialized gratings are integrated between a regular medical […]Advanced 3-D Reconstruction of Talbot-Lau Data X-ray imaging is a standard technique for examinations and interventions in medicine. Based on X-rays, Phase-Contrast Imaging (PCI) can provide an excellent soft-tissue contrast. The most promising setup for measuring phase-contrast in a medical context is the Talbot-Lau Interferometer (TLI), where specialized gratings are integrated between a regular medical […]
Read more about Lina Felsner