Magnetic Resonance Brain Imaging: Modelling and Data Analysis Using R

Author:   Jörg Polzehl ,  Karsten Tabelow
Publisher:   Springer International Publishing AG
Edition:   2nd ed. 2023
ISBN:  

9783031389481


Pages:   258
Publication Date:   13 October 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Magnetic Resonance Brain Imaging: Modelling and Data Analysis Using R


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Author:   Jörg Polzehl ,  Karsten Tabelow
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2nd ed. 2023
Weight:   0.433kg
ISBN:  

9783031389481


ISBN 10:   3031389484
Pages:   258
Publication Date:   13 October 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Jörg Polzehl has retired in 2022 after 25 years as research associate at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, Germany. He holds a PhD in mathematics from Humboldt University Berlin. His main research interests are in computational and nonparametric statistics, with a focus on statistical modeling and data analysis in medical imaging. He has been elected as a Fellow of the Institute of Mathematical Statistics (IMS) and has been a longtime member of the American Statistical Association (ASA) and the Organization of Human Brain Mapping (OHBM).Karsten Tabelow is a (particle) physisist by training who currently works as a data scientist at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, Germany. He is interested in Magnetic Resonance Imaging data of the human brain and considers data modeling and analysis problems with a focus on structural adaptive smoothing methods and biophysical models. He is also interested in reconstruction problems from physics-based imaging modalities. He is a member of the OHBM.  Finally, he contributes to the discussion on Open Science and Research Data Handling especially within mathematics. Within the Mathematical Research Data Initiative (MaRDI) with the German National Research Data Infrastructure (NFDI) he is one of the strategic developers of the consortium and a leader of the MaRDI working group at WIAS. Both authors have jointly coauthored several R packages for the analysis of Magnetic Resonance Imaging data.

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