SISMIK for brain MRI: Deep-learning-based motion estimation and model-based motion correction in k-space

Autor: Dabrowski, Oscar, Falcone, Jean-Luc, Klauser, Antoine, Songeon, Julien, Kocher, Michel, Chopard, Bastien, Lazeyras, François, Courvoisier, Sébastien

MRI, a widespread non-invasive medical imaging modality, is highly sensitive to patient motion. Despite many attempts over the years, motion correction remains a difficult problem and there is no general method applicable to all situations. We propos

Externí odkaz: http://arxiv.org/abs/2312.13220

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Fine-grained identification of pharmaceutical products based on local descriptors

Autor: Dabrowski, Oscar

In this work, the problem of fine-grained identification of pharmaceutical products is addressed. A large database of images of pharma packages acquired by modern mobile phones was created. The contribution of this thesis encompasses the development

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1400::ba942157a131c5d089b89171cc0e414d
https://archive-ouverte.unige.ch/unige:99909

In vivo magnetic resonance P-31-Spectral Analysis With Neural Networks: 31P-SPAWNN

Autor: Songeon, Julien, Courvoisier, Sebastien, Xin, Lijing, Agius, Thomas, Dabrowski, Oscar, Longchamp, Alban, Lazeyras, Francois, Klauser, Antoine

Purpose: We have introduced an artificial intelligence framework, 31P-SPAWNN, in order to fully analyze phosphorus-31 (P-31) magnetic resonance spectra. The flexibility and speed of the technique rival traditional least-square fitting methods, with t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______185::da8d28f3d1d5894beea1850808969d99
https://infoscience.epfl.ch/record/297263

In vivo magnetic resonance 31 P-Spectral Analysis With Neural Networks: 31P-SPAWNN.

Autor: Songeon J; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland., Courvoisier S; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.; CIBM Center for Biomedical Imaging, Geneva, Switzerland., Xin L; CIBM Center for Biomedical Imaging, Geneva, Switzerland.; Animal Imaging and Technology, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Agius T; Department of Vascular Surgery, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland., Dabrowski O; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland., Longchamp A; Department of Vascular Surgery, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland., Lazeyras F; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.; CIBM Center for Biomedical Imaging, Geneva, Switzerland., Klauser A; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.; CIBM Center for Biomedical Imaging, Geneva, Switzerland.

Publikováno v: Magnetic resonance in medicine [Magn Reson Med] 2023 Jan; Vol. 89 (1), pp. 40-53. Date of Electronic Publication: 2022 Sep 25.