Thesis category: MA thesis

265 to 270 of 556

21MAY 2021
News
New PhD student
Paul Stöwer received his M.Sc degree in Medical Engineering from the Friedrich-Alexander-University Erlangen-Nürnberg. He joined the Pattern Recognition Lab in May 2021 as Ph.D candidate under the supervision of Prof. Andreas Maier. The research project focuses on modeling functions of brain parts like the hippocampus with computational methods and applying the methods on problems like […]
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21MAY 2021
News
Invited Talk – Raghavendra Selvan (Univ. Copenhagen) – Quantum Tensor Networks for Medical Image Analysis, May 26th 2021, 10-12h CET
It’s a great pleasure to welcome Raghav Selvan from the University of Copenhagen at our lab! Title: Quantum Tensor Networks for Medical Image AnalysisDate: May 26th 2021, 10-12h CETLocation: https://fau.zoom.us/j/62187900343 Abstract: Quantum Tensor Networks (QTNs) provide efficient approximations of operations involving high dimensional tensors and have been extensively used in modelling quantum many-body systems and […]It’s a great pleasure to welcome Raghav Selvan from the University of Copenhagen at our lab! Title: Quantum Tensor Networks for Medical Image AnalysisDate: May 26th 2021, 10-12h CETLocation: https://fau.zoom.us/j/62187900343 Abstract: Quantum Tensor Networks (QTNs) provide efficient approximations of operations involving high dimensional tensors and have been extensively used in modelling quantum many-body systems and […]
Read more about Invited Talk – Raghavendra Selvan (Univ. Copenhagen) – Quantum Tensor Networks for Medical Image Analysis, May 26th 2021, 10-12h CET
18MAY 2021
News
New PhD student
Paula Andrea Pérez-Toro received her M.Sc. degree in Telecommunications Engineering from the University of Antioquia (UdeA) in Colombia. She has performed research activities related to gait, speech, and natural language analysis for healthcare and customer satisfaction. She joined the Pattern Recognition Lab in April 2021 as a Ph.D. candidate under the supervision of Prof. Elmar […]
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14MAY 2021
News
Invited Talk – Roger David Soberanis Mukul (TUM): An Uncertainty-based Graph Convolutional Network for Organ Segmentation Refinement, May 18th, 16h CET
It’s a great pleasure to announce an invited talk from TU Munich by Roger David Soberanis Mukul next week. Title: An Uncertainty-based Graph Convolutional Network for Organ Segmentation RefinementDate: May 18th, 16h CETLocation: https://fau.zoom.us/j/61857711983 Abstract: Organ segmentation is an essential pre-processing step in different computer-assisted tasks, and currently, deep convolutional neural networks lead the state-of-the-art. […]It’s a great pleasure to announce an invited talk from TU Munich by Roger David Soberanis Mukul next week. Title: An Uncertainty-based Graph Convolutional Network for Organ Segmentation RefinementDate: May 18th, 16h CETLocation: https://fau.zoom.us/j/61857711983 Abstract: Organ segmentation is an essential pre-processing step in different computer-assisted tasks, and currently, deep convolutional neural networks lead the state-of-the-art. […]
Read more about Invited Talk – Roger David Soberanis Mukul (TUM): An Uncertainty-based Graph Convolutional Network for Organ Segmentation Refinement, May 18th, 16h CET
11MAY 2021
News
New PhD student
Sonja Kunzmann received her Master´s degree in Media Technology from University of Applied Sciences Cologne. She joined the Pattern Recognition Lab in May 2021 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. The research project focuses on distributed annotation and evaluation of medical data using gamification. Her research interests lie in the […]
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07MAY 2021
News
Invited Talk – Jinwei Zhang (Cornell U): Probabilistic Dipole Inversion for Adaptive Quantitative Susceptibility Mapping, May 11th, 16h CET
Next week, we have the great pleasure to welcome Jinwei Zhang to our lab for a presentation on his latest research. Title: Probabilistic Dipole Inversion for Adaptive Quantitative Susceptibility MappingDate: May 11th, 16h CETLocation: https://fau.zoom.us/j/64677481134 Abstract: A learning-based posterior distribution estimation method, Probabilistic Dipole Inversion (PDI), is proposed to solve the quantitative susceptibility mapping (QSM) inverse […]Next week, we have the great pleasure to welcome Jinwei Zhang to our lab for a presentation on his latest research. Title: Probabilistic Dipole Inversion for Adaptive Quantitative Susceptibility MappingDate: May 11th, 16h CETLocation: https://fau.zoom.us/j/64677481134 Abstract: A learning-based posterior distribution estimation method, Probabilistic Dipole Inversion (PDI), is proposed to solve the quantitative susceptibility mapping (QSM) inverse […]
Read more about Invited Talk – Jinwei Zhang (Cornell U): Probabilistic Dipole Inversion for Adaptive Quantitative Susceptibility Mapping, May 11th, 16h CET