Daniel Barco
Daniel Barco
ZHAW
School of Engineering
Centre for Artificial Intelligence
Technikumstrasse 71
8400 Winterthur
Arbeit an der ZHAW
Tätigkeit
Doktorand am Centre for Artificial Intelligence (CAI)
Netzwerk
ORCID digital identifier
Social Media
Projekte
- Antibiotika-Resistenz Tracker / Teammitglied / laufend
- Performance-optimiertes KI Stereo Matching / Teammitglied / abgeschlossen
- AI powered CBCT for improved Combination Cancer Therapy / Teammitglied / abgeschlossen
Publikationen
Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed
- Barco, D., Stadelmann, M., Oswald, M., Herzig, I., Lichtensteiger, L., Paysan, P., Peterlik, I., Walczak, M., Menze, B., & Schilling, F.-P. (2026). MInDI-3D : iterative deep learning in 3D for sparse-view cone beam computed tomography. IEEE Access, 14, 6438–6449. https://doi.org/10.1109/access.2026.3652627
- Amirian, M., Barco, D., Herzig, I., & Schilling, F.-P. (2024). Artifact reduction in 3D and 4D cone-beam computed tomography images with deep learning - a review. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3353195
Weitere Publikationen
Barco, D., Stadelmann, M., Oswald, M., Herzig, I., Lichtensteiger, L., Paysan, P., Peterlik, I., Walczak, M., Menze, B., & Schilling, F.-P. (2025). MInDI-3D : iterative deep learning in 3D for sparse-view cone beam computed tomography. arXiv. https://doi.org/10.48550/arXiv.2508.09616
Übrige Publikationen
MInDI-3D: Iterative Deep Learning in 3D for Sparse-view Cone Beam Computed Tomography