Andreas Maier

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18JUN 2021
News
Patrick Krauss’ and Andreas Maier’s “Spektrum der Wissenschaften” Article featured on Cover of the July Issue
Congratulations to Patrick Krauss (University Hospital Erlangen) and Andreas Maier for being featured on the Cover of “Spektrum der Wissenschaften” (the German Version of Scientific American) with their article “Bewusstsein: Der Geist in der Maschine” (German only): https://www.spektrum.de/magazin/bewusste-ki-der-geist-in-der-maschine/1875787 The article is a layman summary of a previous article in Frontiers in Computational Neuroscience “Will We […]Congratulations to Patrick Krauss (University Hospital Erlangen) and Andreas Maier for being featured on the Cover of “Spektrum der Wissenschaften” (the German Version of Scientific American) with their article “Bewusstsein: Der Geist in der Maschine” (German only): https://www.spektrum.de/magazin/bewusste-ki-der-geist-in-der-maschine/1875787 The article is a layman summary of a previous article in Frontiers in Computational Neuroscience “Will We […]
Read more about Patrick Krauss’ and Andreas Maier’s “Spektrum der Wissenschaften” Article featured on Cover of the July Issue
04JUN 2021
News
Invited Talk: Kerstin Hammernik – Physics-based learning for MRI reconstruction – Recent advances in static and dynamic imaging, 9th of June, 12PM CET – LIVE ONLY, Register now!
It’s a great pleasure to welcome Kerstin Hammernik – one of the creators of variational networks – to our lab! Don’t miss this talk! It won’t be recorded Title: Physics-based learning for MRI reconstruction – Recent advances in static and dynamic imagingDate: 9th of June, 12PM CETRegistration Link: https://fau.zoom.us/webinar/register/WN_X3awEy9YQcOn5qYE5l75jg Abstract: During the past years, deep […]It’s a great pleasure to welcome Kerstin Hammernik – one of the creators of variational networks – to our lab! Don’t miss this talk! It won’t be recorded Title: Physics-based learning for MRI reconstruction – Recent advances in static and dynamic imagingDate: 9th of June, 12PM CETRegistration Link: https://fau.zoom.us/webinar/register/WN_X3awEy9YQcOn5qYE5l75jg Abstract: During the past years, deep […]
Read more about Invited Talk: Kerstin Hammernik – Physics-based learning for MRI reconstruction – Recent advances in static and dynamic imaging, 9th of June, 12PM CET – LIVE ONLY, Register now!
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