Thesis category: BA thesis

97 to 101 of 101

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 […]
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29MAY 2024
News
SWITCH24: Stroke workshop at MICCAI 24
Join us at the Stroke Workshop on Imaging and Treatment CHallenges (SWITCH) 2024 which is hosted at the MICCAI24 conference in Marrakesh. The main goal of the workshop is bringing clinicians and engineers closer together to overcome relevant practical challenges when treating & diagnosing stroke, a main reason for death and disability worldwide.The workshop is […]
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21MAY 2024
News
Pattern Recognition Lab Members Honored at ISMRM 2024
At this year’s ISMRM conference in Singapore, members of the Pattern Recognition Lab achieved significant recognition. Luis Carlos Rivera Monroy, Lukas Bolay and Luise Brock presented their research through well-received digital posters. Additionally, Laura Pfaff and Julian Hossbach presented their work in scientific talks, both of which awarded with the highly prestigious ISMRM Merit awards. […]At this year’s ISMRM conference in Singapore, members of the Pattern Recognition Lab achieved significant recognition. Luis Carlos Rivera Monroy, Lukas Bolay and Luise Brock presented their research through well-received digital posters. Additionally, Laura Pfaff and Julian Hossbach presented their work in scientific talks, both of which awarded with the highly prestigious ISMRM Merit awards. […]
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10MAY 2024
News
Join Us at the MMMI/ML4MHD Workshop at MICCAI 2024!
The International Workshop on Multiscale Multimodal Medical Imaging (MMMI) and the International Workshop on Machine Learning for Multimodal/Multisensor Healthcare Data (ML4MHD) will be featured at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024). These collaborative sessions will cover a broad spectrum of topics in multiscale and multimodal medical imaging, […]The International Workshop on Multiscale Multimodal Medical Imaging (MMMI) and the International Workshop on Machine Learning for Multimodal/Multisensor Healthcare Data (ML4MHD) will be featured at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024). These collaborative sessions will cover a broad spectrum of topics in multiscale and multimodal medical imaging, […]
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