Dr. Andreas Henrici

Arbeit an der ZHAW

Arbeits- und Forschungsschwerpunkte

NMR spectroscopy, Dynamical systems, Analysis

Aus- und Weiterbildung

Weiterbildung

Certificate of Completion
ZHAW Life Sciences and Facility Management
02 / 2019

Netzwerk

ORCID digital identifier

ORCID ID: 0009-0008-5124-604X

Projekte

• NMR-based drug discovery / Co-Projektleiter:in / laufend
• Konferenzserie Artificial Intelligence in Industry and Finance / Projektleiter:in / laufend
• Maschinelles Lernen für NMR-Spektroskopie / Projektleiter:in / abgeschlossen
• 3rd European COST Conference on Mathematics for Industry in Switzerland / Teammitglied / abgeschlossen
• 2nd European COST Conference on Mathematics for Industry in Switzerland / Teammitglied / abgeschlossen
• 1st European COST Conference on Mathematics for Industry in Switzerland / Teammitglied / abgeschlossen

Publikationen

• Henrici, Andreas; Robbiani, Marcello,

  2024.

  Analytical models of experimental artefacts in an ill-posed nonlinear ODE system.

  Mathematics.

  12(23), S. 3675.

  Verfügbar unter: https://doi.org/10.3390/math12233675

• De Lorenzi, Flavio; Weinmann, Tom; Bruderer, Simon; Heitmann, Björn; Henrici, Andreas; Stingelin, Simon,

  2024.

  Bayesian analysis of 1D 1H-NMR spectra.

  Journal of Magnetic Resonance.

  364(107723).

  Verfügbar unter: https://doi.org/10.1016/j.jmr.2024.107723

• Altenburger, Ruprecht; Henrici, Andreas; Robbiani, Marcello,

  2024.

  Analytical solution of an ill-posed system of nonlinear ODE’s.

  Communications in Nonlinear Science and Numerical Simulation.

  130(107762).

  Verfügbar unter: https://doi.org/10.1016/j.cnsns.2023.107762

• Schmid, N.; Bruderer, S.; Paruzzo, F.; Fischetti, G.; Toscano, G.; Graf, D.; Fey, M.; Henrici, A.; Ziebart, V.; Heitmann, B.; Grabner, H.; Wegner, J.D.; Sigel, R.K.O.; Wilhelm, D.,

  2023.

  Deconvolution of 1D NMR spectra : a deep learning-based approach.

  Journal of Magnetic Resonance.

  347(107357).

  Verfügbar unter: https://doi.org/10.1016/j.jmr.2022.107357

• Fischetti, Giulia; Schmid, Nicolas; Bruderer, Simon; Caldarelli, Guido; Scarso, Alessandro; Henrici, Andreas; Wilhelm, Dirk,

  2023.

  Automatic classification of signal regions in 1H nuclear magnetic resonance spectra.

  Frontiers in Artificial Intelligence.

  5(1116416).

  Verfügbar unter: https://doi.org/10.3389/frai.2022.1116416

• Henrici, Andreas; Osterrieder, Jörg,

  2022.

  Editorial: Artificial intelligence in finance and industry: highlights from 6 European COST conferences.

  Frontiers in Artificial Intelligence.

  5(1007074).

  Verfügbar unter: https://doi.org/10.3389/frai.2022.1007074

• Henrici, Andreas,

  2018.

  Nekhoroshev stability for the Dirichlet Toda lattice.

  Symmetry.

  10(10), S. 506.

  Verfügbar unter: https://doi.org/10.3390/sym10100506

• Henrici, Andreas,

  2015.

  Symmetries of the periodic Toda lattice, with an application to normal forms and perturbations of the lattice with Dirichlet boundary conditions.

  Discrete and Continuous Dynamical Systems, Series A.

  35(7), S. 2949-2977.

  Verfügbar unter: https://doi.org/10.3934/dcds.2015.35.2949

• Schmid, Nicolas; Wanner, Marc; Fischetti, Giulia; Meshkian, Mohsen; Bruderer, Simon; Henrici, Andreas; Wegner, Jan Dirk; Sigel, Roland K.O.; Heitmann, Björn; Wilhelm, Dirk,

  2024.

  Automated spin system analysis in NMR spectroscopy with SpinDETR : a deep learning approach [Poster].

  In:

  Datalab-Symposium, Winterthur, Schweiz, 12. September 2024.

  Winterthur:

  ZHAW Zurich University of Applied Sciences.

  Verfügbar unter: https://doi.org/10.21256/zhaw-31443

• Fischetti, Giulia; Schmid, Nicolas; Bruderer, Simon; Henrici, Andreas; Heitmann, Björn; Scarso, Alessandro; Caldarelli, Guido; Wilhelm, Dirk,

  2024.

  MuSe Net: a deep learning framework for trustworthy multiplet segmentation in 1D 1H NMR spectra [Poster].

  In:

  Datalab-Symposium, Winterthur, Schweiz, 12. September 2024.

  Winterthur:

  ZHAW Zurich University of Applied Sciences.

  Verfügbar unter: https://doi.org/10.21256/zhaw-31444

• Schmid, Nicolas; Wanner, Marc; Fischetti, Giulia; Meshkian, Mohsen; Bruderer, Simon; Henrici, Andreas; Wegner, Jan Dirk; Sigel, Roland K. O.; Heitmann, Bjoern; Wilhelm, Dirk,

  2024.

  Automated spin system analysis in NMR spectroscopy with SpinDETR : a deep learning approach [Poster].

  In:

  20th European Magnetic Resonance Congress (EUROMAR), Bilbao, Spain, 30 June - 4 July 2024.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Verfügbar unter: https://doi.org/10.21256/zhaw-31101

• Fischetti, Giulia; Schmid, Nicolas; Bruderer, Simon; Henrici, Andreas; Heitmann, Bjoern; Scarso, Alessandro; Caldarelli, Guido; Wilhelm, Dirk,

  2024.

  MuSe Net : a deep learning framework for trustworthy multiplet segmentation in 1D 1H NMR spectra [Poster].

  In:

  20th European Magnetic Resonance Congress (EUROMAR), Bilbao, Spain, 30 June - 4 July 2024.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Verfügbar unter: https://doi.org/10.21256/zhaw-31102

• Schmid, Nicolas; Fischetti, Giulia; Henrici, Andreas; Wilhelm, Dirk; Wanner, Marc; Meshkian, Mohsen; Bruderer, Simon; Wegner, Jan-Dirk; Sigel, Roland K. O.; Heitmann, Bjoern; Konukoglu, Ender,

  2023.

  Transforming NMR spectroscopy : extraction of multiplet parameters with deep learning [Poster].

  In:

  Prisner, Thomas, Hrsg.,

  Euromar 2022 Abstractbook.

  European Conference on Magnetic Resonance (EUROMAR), Utrecht, The Netherlands, 10-14 July 2022.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  S. 291.

  Verfügbar unter: https://doi.org/10.21256/zhaw-29510

• Fischetti, Giulia; Schmid, Nicolas; Henrici, Andreas; Wilhelm, Dirk; Bruderer, Simon; Heitmann, Bjoern; Scarso, Alessandro; Caldarelli, Guido,

  2023.

  Uncertainty quantification for reliable automatic multiplet classification in 1H NMR spectra [Poster].

  In:

  Prisner, Thomas, Hrsg.,

  Euromar 2023 Programme & Abstract Book.

  European Conference on Magnetic Resonance (EUROMAR), Glasgow, United Kingdom, 9-13 July 2023.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  S. 350.

  Verfügbar unter: https://doi.org/10.21256/zhaw-29538

• Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Ziebart, Volker; Henrici, Andreas; Grabner, Helmut; Wegner, Jan Dirk; Sigel, Roland K.O.; Heitmann, Björn; Wilhelm, Dirk,

  2023.

  Deconvolution of NMR spectra : a deep learning-based approach [Poster].

  In:

  Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Verfügbar unter: https://doi.org/10.21256/zhaw-27429

• Fischetti, Giulia; Schmid, Nicolas; Bruderer, Simon; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Henrici, Andreas; Scarso, Alessandro; Caldarelli, Guido; Heitmann, Björn; Wilhelm, Dirk,

  2022.

  A deep ensemble learning method for automatic classification of multiplets in 1D NMR spectra [Poster].

  In:

  Prisner, Thomas, Hrsg.,

  EUROMAR 2022 Abstractbook.

  European Conference on Magnetic Resonance (EUROMAR), Utrecht, The Netherlands, 10-14 July 2022.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  S. 236.

  Verfügbar unter: https://doi.org/10.21256/zhaw-27328

• Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Henrici, Andreas; Grabner, Helmut; Wegner, Jan Dirk; Sigel, Roland K. O.; Heitmann, Björn; Wilhelm, Dirk,

  2022.

  Deconvolution of NMR spectra : a deep learning-based approach [Poster].

  In:

  Prisner, Thomas, Hrsg.,

  EUROMAR 2022 Abstractbook.

  European Conference on Magnetic Resonance (EUROMAR), Utrecht, The Netherlands, 10-14 July 2022.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  S. 242.

  Verfügbar unter: https://doi.org/10.21256/zhaw-27336

• Henrici, Andreas,

  2017.

  Nekhoroshev theorem for the Dirichlet Toda chain [Poster].

  In:

  Symmetry 2017 - 1st International Conference on Symmetry, Barcelona, Spain, 16-18 October 2017.

  Winterthur:

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Verfügbar unter: https://doi.org/10.21256/zhaw-5533

• Henrici, Andreas; Neukom, Martin,

  2016.

  Synchronization in chains of van der Pol oscillators [Paper].

  In:

  Grossmann, Rolf; Hajdu, Georg, Hrsg.,

  Proceedings SMC 2016, 31.8. - 3.9.2016, Hamburg, Germany.

  13th Sound and Music Computing Conference and Summer School (SMC 2016), Hamburg, 31 August - 3 September 2016.

  Hamburg:

  Hochschule für Musik und Theater.

  S. 216-221.

  Verfügbar unter: https://doi.org/10.21256/zhaw-5503

• Henrici, Andreas; Neukom, Martin,

  2016.

  Synchronization of van der Pol oscillators with delayed coupling [Paper].

  In:

  Timmermans, Hans, Hrsg.,

  International Computer Music Conference Proceedings 2016.

  ICMC 2016 - 42nd International Computer Music Conference, Utrecht, Netherlands, 12-16 September 2016.

  San Francisco:

  International Computer Music Association.

  S. 213-218.

  Verfügbar unter: https://doi.org/10.21256/zhaw-4799

• Henrici, Andreas; Füchslin, Rudolf M.; Schwendner, Peter,

  2023.

  Editorial: Artificial Intelligence in Finance and Industry: volume II—highlights from the 7th European conference.

  Frontiers in Artificial Intelligence.

  6(1267377).

  Verfügbar unter: https://doi.org/10.3389/frai.2023.1267377

• Henrici, Andreas; Schwendner, Peter; Deflorin, Patricia; Wilhelm, Dirk; Füchslin, Rudolf Marcel, Hrsg.,

  2023.

  Artificial Intelligence in Finance and Industry : Volume II - Highlights from the 7th European Conference.

  7th European COST Conference on Artificial Intelligence in Industry and Finance, Winterthur, Switzerland, 28 September 2022.

  Frontiers Research Foundation.

  .

  Verfügbar unter: https://www.frontiersin.org/research-topics/38909/

• Deflorin, Patricia; Füchslin, Rudolf Marcel; Henrici, Andreas; Osterrieder, Joerg; Schwendner, Peter; Wilhelm, Dirk, Hrsg.,

  2022.

  Artificial Intelligence in Finance and Industry : highlights from 6 European COST conferences.

  5th European COST Conference on Artificial Intelligence in Industry and Finance, Winterthur, Switzerland (online), 3 September 2020.

  Frontiers Research Foundation.

  .

  Verfügbar unter: https://www.frontiersin.org/research-topics/18514/

• Henrici, Andreas,

  2018.

  Nekhoroshev theorem for the Toda lattice with Dirichlet boundary conditions.

  In:

  Proceedings, Volume 2, Symmetry 2017.

  Symmetry 2017 - 1st International Conference on Symmetry, Barcelona, Spain, 16-18 October 2017.

  MDPI.

  Verfügbar unter: https://doi.org/10.3390/proceedings2010018

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