Nicolas Schmid

ZHAW School of Engineering
Forschungsschwerpunkt Applied Complex Systems Science
Technikumstrasse 71
8400 Winterthur

nicolas.schmid@zhaw.ch

Projects

Publications

Articles in scientific journal, peer-reviewed

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

2025.

A deep learning framework for multiplet splitting classification in 1HNMR.

Journal of Magnetic Resonance.

373(107851).

Available from: https://doi.org/10.1016/j.jmr.2025.107851
Meshkian, Mohsen; Schmid, Nicolas; Henrici, Andreas; Bruderer, Simon,

2025.

Analysis of 1D NMR spectra with 2D image processing techniques.

Physica Scripta.

100(2), pp. 026011.

Available from: https://doi.org/10.1088/1402-4896/ada595
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).

Available from: 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).

Available from: https://doi.org/10.3389/frai.2022.1116416

Conference contributions, peer-reviewed

Bolt, Peter; Ziebart, Volker; Jaeger, Christian; Schmid, Nicolas; Stadelmann, Thilo; Füchslin, Rudolf Marcel,

2024.

A simulation study on energy optimization in building control with reinforcement learning[paper].

In:

Suen, Ching Yee; Krzyzak, Adam; Ravanelli, Mirco; Trentin, Edmondo; Subakan, Cem; Nobile, Nicola, eds.,

Artificial Neural Networks in Pattern Recognition.

11th IAPR TC3 Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR), Montreal, Canada, 10-12 October 2024.

Cham:

Springer.

Available from: https://doi.org/10.1007/978-3-031-71602-7_27
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.

Available from: 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.

Available from: 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.

Available from: 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.

Available from: 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, ed.,

Euromar 2022 Abstractbook.

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

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

pp. 291.

Available from: 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, ed.,

Euromar 2023 Programme & Abstract Book.

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

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

pp. 350.

Available from: 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.

Available from: 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, ed.,

EUROMAR 2022 Abstractbook.

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

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

pp. 236.

Available from: 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, ed.,

EUROMAR 2022 Abstractbook.

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

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

pp. 242.

Available from: https://doi.org/10.21256/zhaw-27336

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