Daniel Barco
Daniel Barco
ZHAW
School of Engineering
Centre for Artificial Intelligence
Technikumstrasse 71
8400 Winterthur
Work at ZHAW
Position
PhD Candidate at the Centre for Artificial Intelligence (CAI)
Network
ORCID digital identifier
Projects
- Antimicrobial Resistance Tracker / Team member / ongoing
- High performance AI stereo matching / Team member / completed
- AI powered CBCT for improved Combination Cancer Therapy / Team member / completed
Publications
Articles in scientific journal, 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
Other publications
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
Other publications
MInDI-3D: Iterative Deep Learning in 3D for Sparse-view Cone Beam Computed Tomography