Antonio Ortiz
© Johann F. Saba/UKB
Dr. Antonio Ortiz
ORCID iD 0000-0002-7964-2617
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Affiliations
  • Life and Medical Sciences Institute (LIMES)
Research topics
  • Computer Vision in Medical Imaging
  • Machine Learning
Antonio received his Ph.D. in Electric and Electronics Engineering from Cinvestav, Mexico (2023), where his research focused on developing machine learning and Bayesian methods for applications in cardiac MRI segmentation, computer graphics, and visual-inertial SLAM. Previous studies include a bachelor’s degree in Mechatronic Engineering (2017) and a master’s degree in Computer Science by Cicese, Mexico (2019). Since January 2024, he joined the groups of Alexander Effland and Jan Hasenauer at the University of Bonn.
Selected publications

A. Ortiz-Gonzalez et al., "Optical Flow-Guided Cine MRI Segmentation With Learned Corrections," in IEEE Transactions on Medical Imaging, vol. 43, no. 3, pp. 940-953, March 2024, doi: 10.1109/TMI.2023.3325766.

E. J. Bayro-Corrochano et al., "Computing in the Conformal Space Objects, Incidence Relations, and Geometric Constrains for Applications in AI, GIS, Graphics, Robotics, and Human-Machine Interaction," in IEEE Access, vol. 10, pp. 112742-112756, 2022, doi: 10.1109/ACCESS.2022.3216266.

A. Ortiz-González et al., "3D shape and strain measurement of a thin-walled elastic cylinder using fringe projection profilometry," Appl. Opt. 60, 1349-1356 (2021), doi: 10.1364/AO.413586

Antonio Ortiz-González and Vitaly Kober, "Adaptive algorithm for the SLAM design with a RGB-D camera", Proc. SPIE 11137, Applications of Digital Image Processing XLII, 1113726 (6 September 2019), doi: 10.1117/12.2528527

Antonio Ortiz
© Johann F. Saba/UKB
Dr. Antonio Ortiz

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Endenicher Allee 64

53115 Bonn