Dr. Javier Montoya

Projekte

• Synthetic data generation of CoVID-19 CT/X-rays images for enabling fast triage of healthy vs. unhealthy patients / Projektleiter:in / abgeschlossen
• Standardized Data and Modeling for AI-based CoVID-19 Diagnosis Support on CT Scans / Teammitglied / abgeschlossen
• DIR3CT: Deep Image Reconstruction through X-Ray Projection-based 3D Learning of Computed Tomography Volumes / Teammitglied / abgeschlossen
• RealScore – Scanning of Real-World Sheet Music for a Digital Music Stand / Teammitglied / abgeschlossen

Publikationen

• Tuggener, Lukas; Emberger, Raphael; Ghosh, Adhiraj; Sager, Pascal; Satyawan, Yvan Putra; Montoya, Javier; Goldschagg, Simon; Seibold, Florian; Gut, Urs; Ackermann, Philipp; Schmidhuber, Jürgen; Stadelmann, Thilo,

  2024.

  Real world music object recognition.

  Transactions of the International Society for Music Information Retrieval.

  7(1), S. 1-14.

  Verfügbar unter: https://doi.org/10.5334/tismir.157

• Amirian, Mohammadreza; Montoya, Javier; Gruss, Jonathan; Stebler, Yves D.; Bozkir, Ahmet Selman; Calandri, Marco; Schwenker, Friedhelm; Stadelmann, Thilo,

  2021.

  PrepNet : a convolutional auto-encoder to homogenize CT scans for cross-dataset medical image analysis[Paper].

  In:

  Proceedings of CISP-BMEI’21.

  14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Shanghai, China, 23-25 October 2021.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Verfügbar unter: https://doi.org/10.21256/zhaw-23318

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