Andreas Maier

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28MAY 2021
News
Invited Talk – Tobias Reichenbach: Decoding the neural processing of speech, June 2nd, 2021, 10 AM CET
It’s great pleasure to welcome Prof. Dr. Tobias Reichenbach to FAU as a new professor after running a successful lab at Imperial College London! Title: Decoding the neural processing of speechDate: June 2nd, 2021, 10 AM CETLocation: https://fau.zoom.us/j/67634003203 Abstract: Understanding speech in noisy backgrounds requires selective attention to a particular speaker. Humans excel at this […]It’s great pleasure to welcome Prof. Dr. Tobias Reichenbach to FAU as a new professor after running a successful lab at Imperial College London! Title: Decoding the neural processing of speechDate: June 2nd, 2021, 10 AM CETLocation: https://fau.zoom.us/j/67634003203 Abstract: Understanding speech in noisy backgrounds requires selective attention to a particular speaker. Humans excel at this […]
Read more about Invited Talk – Tobias Reichenbach: Decoding the neural processing of speech, June 2nd, 2021, 10 AM CET
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
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
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
30APR 2021
News
Invited Talk – Fabian Isensee (German Cancer Research Center): nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation, May 5th, 10h AM CET
The famous author of the nnU-Net Paper is giving some insights on his most recent discoveries on medical image segmentation at our lab in the next week! Title: nnU-Net: a self-configuring method for deep learning-based biomedical image segmentationDate: May 5th, 10h AM CETLocation: https://fau.zoom.us/j/62043440474 Abstract: Biomedical imaging is a driver of scientific discovery and a […]
Read more about Invited Talk – Fabian Isensee (German Cancer Research Center): nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation, May 5th, 10h AM CET
23APR 2021
News
Invited Talk – Petar Veličković (DeepMind) – Geometric Deep Learning: Grids, Graphs, Groups, Geodesics and Gauges, April, 28th 14-16h CET
It’s a great pleasure to welcome Petar Veličković from Deep Mind to our Lab! Title: Geometric Deep Learning: Grids, Graphs, Groups, Geodesics and GaugesLocation: https://fau.zoom.us/j/66759913345Date: April, 28th 14-16h CET Abstract: The last decade has witnessed an experimental revolution in data science and machine learning, epitomised by deep learning methods. Indeed, many high-dimensional learning tasks previously thought […]It’s a great pleasure to welcome Petar Veličković from Deep Mind to our Lab! Title: Geometric Deep Learning: Grids, Graphs, Groups, Geodesics and GaugesLocation: https://fau.zoom.us/j/66759913345Date: April, 28th 14-16h CET Abstract: The last decade has witnessed an experimental revolution in data science and machine learning, epitomised by deep learning methods. Indeed, many high-dimensional learning tasks previously thought […]
Read more about Invited Talk – Petar Veličković (DeepMind) – Geometric Deep Learning: Grids, Graphs, Groups, Geodesics and Gauges, April, 28th 14-16h CET