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2023.

Mitigation of motion-induced artifacts in cone beam computed tomography using deep convolutional neural networks.

Medical Physics.

Verfügbar unter: https://doi.org/10.1002/mp.16405

Michelucci, Umberto; Fluri, Silvan; Baumgartner, Michael; Venturini, Francesca,

2023.

Deep learning super resolution for high-speed excitation emission matrix measurements [Paper].

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Jalali, Bahram; Kitayama, Ken-ichi, Hrsg.,

AI and Optical Data Sciences IV.

SPIE Photonics West, San Francisco, USA, 28 January - 2 February 2023.

SPIE.

Verfügbar unter: https://doi.org/10.1117/12.2647589

Venturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A.,

2023.

Understanding the learning mechanism of convolutional neural networks applied to fluorescence spectra [Paper].

In:

Jalali, Bahram; Kitayama, Ken-ichi, Hrsg.,

AI and Optical Data Sciences IV.

SPIE Photonics West, San Francisco, USA, 28 January - 2 February 2023.

SPIE.

Verfügbar unter: https://doi.org/10.1117/12.2647809

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

Venturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A.,

2023.

Understanding the learning mechanism of convolutional neural networks applied to fluorescence spectra.

In:

SPIE Photonics West, San Francisco, USA, 28 January - 2 February 2023.