Ivo Herzig

Work at ZHAW

Position

Research Assistant ACSS

Projects

• DIR3CT: Deep Image Reconstruction through X-Ray Projection-based 3D Learning of Computed Tomography Volumes / Team member / Project completed

Publications

• Amirian, Mohammadreza; Barco, Daniel; Herzig, Ivo; Schilling, Frank-Peter,

  2024.

  Artifact reduction in 3D and 4D cone-beam computed tomography images with deep learning - a review.

  IEEE Access.

  Available from: https://doi.org/10.1109/ACCESS.2024.3353195

• Amirian, Mohammadreza; Montoya-Zegarra, Javier A.; Herzig, Ivo; Eggenberger Hotz, Peter; Lichtensteiger, Lukas; Morf, Marco; Züst, Alexander; Paysan, Pascal; Peterlik, Igor; Scheib, Stefan; Füchslin, Rudolf Marcel; Stadelmann, Thilo; Schilling, Frank-Peter,

  2023.

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

  Medical Physics.

  50(10), pp. 6228-6242.

  Available from: https://doi.org/10.1002/mp.16405

• Venturini, Francesca; Sperti, Michela; Michelucci, Umberto; Herzig, Ivo; Baumgartner, Michael; Caballero, Josep Palau; Jimenez, Arturo; Deriu, Marco Agostino,

  2021.

  Exploration of Spanish olive oil quality with a miniaturized low-cost fluorescence sensor and machine learning techniques.

  Foods.

  10(5), pp. 1010.

  Available from: https://doi.org/10.3390/foods10051010

• Herzig, Ivo; Paysan, Pascal; Scheib, Stefan; Züst, Alexander; Schilling, Frank-Peter; Montoya, Javier; Amirian, Mohammadreza; Stadelmann, Thilo; Eggenberger Hotz, Peter; Füchslin, Rudolf Marcel; Lichtensteiger, Lukas,

  2022.

  Deep learning-based simultaneous multi-phase deformable image registration of sparse 4D-CBCT [poster].

  In:

  AAPM Annual Meeting, Washington, DC, USA, 10-14 July 2022.

  American Association of Physicists in Medicine.

  pp. e325-e326.

  Available from: https://doi.org/10.1002/mp.15769

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