Dr. Javier Montoya

Projects

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

Publications

• 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), pp. 1-14.

  Available from: https://doi.org/10.5334/tismir.157

• Cheng, Chun-Wun; Zhao, Yining; Cheng, Yanqi; Montoya-Zegarra, Javier A.; Schönlieb, Carola-Bibiane; Aviles-Rivero, Angelica I.,

  2025.

  Implicit U-KAN2.0 : dynamic, efficient and interpretable medical image segmentation[paper].

  In:

  Gee, James C.; Alexander, Daniel C.; Hong, Jaesung; Iglesias, Juan Eugenio; Sudre, Carole H.; Venkataraman, Archana; Golland, Polina; Kim, Jong Hyo; Park, Jinah, eds.,

  Medical Image Computing and Computer Assisted Intervention – MICCAI 2025.

  28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Daejeon, South Korea, 23–27 September 2025.

  Cham:

  Springer.

  pp. 304-314.

  Available from: https://doi.org/10.1007/978-3-032-05141-7_30

• Mandujano-Cornejo, Vittorino; Montoya-Zegarra, Javier A.,

  2022.

  Polyp2Seg : improved polyp segmentation with vision transformer[paper].

  In:

  Yang, Guang; Aviles-Rivero, Angelica; Roberts, Michael; Schönlieb, Carola-Bibiane, eds.,

  Medical Image Understanding and Analysis.

  26th Annual Conference on Medical Image Understanding and Analysis (MIUA), Cambridge, United Kingdom, 27-29 July 2022.

  Cham:

  Springer.

  pp. 519-534.

  Available from: https://doi.org/10.1007/978-3-031-12053-4_39

• 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.

  Available from: https://doi.org/10.21256/zhaw-23318

• Cheng, Yanqi; Cheng, Chun-Wun; Denholm, Jim; Lima, Thiago; Montoya-Zegarra, Javier A.; Goodwin, Richard; Schönlieb, Carola-Bibiane; Aviles-Rivero, Angelica I.,

  2025.

  DNA-Prior : unsupervised denoise anything via dual-domain prior.

  arXiv.

  Available from: https://doi.org/10.48550/arxiv.2511.23124

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