Gamazo Tejero, Angel Javier

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Gamazo Tejero, Javier; Márquez Neila, Pablo; Kurmann, Thomas Kevin; Gallardo, Mathias; Zinkernagel, Martin; Wolf, Sebastian; Sznitman, Raphael (2023). Predicting OCT biological marker localization from weak annotations. Scientific Reports, 13(1), p. 19667. Nature Publishing Group 10.1038/s41598-023-47019-6

Gamazo Tejero, Javier; Zinkernagel, Martin S.; Wolf, Sebastian; Sznitman, Raphael; Márquez Neila, Pablo (18 June 2023). Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns. In: 2023 IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) (pp. 11381-11391). IEEE 10.1109/CVPR52729.2023.01095

Gamazo Tejero, Angel Javier; Márquez Neila, Pablo; Kurmann, Thomas Kevin; Gallardo, Mathias; Zinkernagel, Martin Sebastian; Wolf, Sebastian; Sznitman, Raphael (February 2023). Deep-learning model to localize biological markers on OCT volumes from weak annotations (Submitted). In: ARVO Anual Meeting 2023.

Ghamsarian, Negin; Gamazo Tejero, Javier; Márquez-Neila, Pablo; Wolf, Sebastian; Zinkernagel, Martin; Schoeffmann, Klaus; Sznitman, Raphael (2023). Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-training. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. Lecture Notes in Computer Science: Vol. 14220 (pp. 331-341). Springer 10.1007/978-3-031-43907-0_32

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