Ph.D. Gallery

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

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02SEP 2025
Ph.D. Gallery
Zijia Guo
Her dissertation focuses on advancing the performance of 3-D angiographic C-arm systems by introducing a novel data acquisition trajectory that enables stable and theoretically exact reconstruction. During her defense, she presented the trajectory’s geometrical design, the corresponding reconstruction algorithm, and results from its first implementation on a state-of-the-art C-arm system.
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20NOV 2024
Ph.D. Gallery
Paula Andrea Pérez-Toro
Acoustic and Linguistic Analysis in Neurological and Psychiatric Disorders This thesis investigates the application of speech and language analysis for clinical evaluation and monitoring of neurological and psychiatric disorders, specifically Major Depression Disorder (MDD), Alzheimer’s Disease (AD), and Parkinson’s Disease (PD). Given the symptomatic overlap and diagnostic challenges presented by these conditions, this thesis uses […]Acoustic and Linguistic Analysis in Neurological and Psychiatric Disorders This thesis investigates the application of speech and language analysis for clinical evaluation and monitoring of neurological and psychiatric disorders, specifically Major Depression Disorder (MDD), Alzheimer’s Disease (AD), and Parkinson’s Disease (PD). Given the symptomatic overlap and diagnostic challenges presented by these conditions, this thesis uses […]
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20NOV 2024
Ph.D. Gallery
Julia Schottenhamml
A.Eye: Enhancing OCT and OCTA through Machine Learning Techniques
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05JUN 2024
Ph.D. Gallery
Philipp Klumpp
Phonetic Transfer Learning from Healthy References for the Analysis of Pathological Speech Automatic speech recognition (ASR) experienced a major leap forward through many advances in deep machine learning over the past decade. In each new iteration of neural ASR architecture, the increase in performance was accompanied by an increasing number of model parameters. Speech recognizers […]
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05JUN 2024
Ph.D. Gallery
Sebastian Bayerl
Machine Learning for Stuttering Detection and Classification in Stuttering Therapy
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05JUN 2024
Ph.D. Gallery
Fabian Wagner
Hybrid Machine Learning Approaches for Image Reconstruction and Processing in Low-Dose Computed Tomography Diagnostic decisions in clinical workflows often hinge on the interpretation of medical images. The inherent quality of these images plays a critical role in discerning relevant anatomical and pathological features. Factors such as radiation exposure, acquisition duration, and patient motion directly influence […]Hybrid Machine Learning Approaches for Image Reconstruction and Processing in Low-Dose Computed Tomography Diagnostic decisions in clinical workflows often hinge on the interpretation of medical images. The inherent quality of these images plays a critical role in discerning relevant anatomical and pathological features. Factors such as radiation exposure, acquisition duration, and patient motion directly influence […]
Read more about Fabian Wagner