Roque Outeiral
Deep Learning Engineer at Agendia
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolRoque Outeiral is a Deep Learning Engineer with nine years of experience applying computer vision and deep learning to medical imaging, currently building AI solutions at Agendia. He holds a PhD focused on automatic tumor segmentation on MRI and brings over seven years of hands-on research and development from The Netherlands Cancer Institute into production-focused engineering. Trained as a biomedical engineer with a master’s in computer vision, he blends rigorous scientific methodology with pragmatic software engineering to drive clinically relevant models. Based in Amsterdam and originally from Galicia, he combines academic depth with a track record of moving segmentation algorithms from research prototypes toward real-world usage.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Vision, Master's degree, Computer Vision at Universitat Autònoma de BarcelonaDoctor of Philosophy - PhD, Deep learning for automatic segmentation of tumors on MRI, Doctor of Philosophy - PhD, Deep learning for automatic segmentation of tumors on MRI at Leiden UniversityGrado en Ingeniería Biomédica, Itinerario en Imágenes médicas, Grado en Ingeniería Biomédica, Itinerario en Imágenes médicas at Universidad Politécnica de Madrid
Spanish, French, Dutch, English, Galician
Github Skills (14)
medical6
3d-object-detection5
medical-imaging4
re-identification3
intervention3
medical-image-computing2
object-detection2
deep-learning2
nvidia-docker2
computer-vision2
pytorch2
visual-recognition1
face-recognition1
face-detection1
Programming languages (1)
Github contributions (5)
RoqueRouteiral/oroph_segmentation
Nov 2021 - May 2023
Contributions:1 push, 1 branch in 1 year 6 months
RoqueRouteiral/oroph_segm_ts
Jun 2022 - May 2023
Contributions:1 push, 1 branch in 11 months
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