Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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Fernando Navarro

DSC01361.jpg Fernando Navarro
PhD Student

Image-Based Biomedical Modeling Group (IBBM)
Fakultät für Informatik
Technische Universität München
Boltzmannstr. 3
85748 Garching b. München

Email: fernando.navarro@tum.de

Room: IMETUM /TranslaTUM


  • 2017: Master of Science in Biomedical Computing. Technical University of Munich, Germany
    Thesis: Webly Supervised Learning for Skin Lesion Classification
  • 2015: Bachelor in Mechatronics Engineering. University of Guanajuato, Mexico
    Thesis: Natural Image Segmentation Using Rough-Set-Based-Rules

Research Interests

  • Medical image analysis: algorithms for medical applications.
  • Machine Learning: Weak and and unsupervised learning
  • Deep Learning in Medical Imaging: classification, segmentation, localization for computer-aided systems.

Available Student Projects

* Available from August 2021 Organs at Risk Detection and Localization for Radiation Therapy Planning using Transformers


F. Navarro, S. Shit, I. Ezhov, J. Paetzold, A. Gafita, J. Peeken, S. Combs, B. Menze
Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation
Proceedings of the 10th International Workshop on Machine Learning in Medical Imaging (MLMI 2019), Shenzhen, China, October 2019. (bib)
F. Navarro, , M. Günther, , A. Gafita, M. Bieth, G. Tetteh, Jian Wang, S. Weber, M. Eiber
qPSMA: Semiautomatic Software for Whole-Body Tumor Burden Assessment in Prostate Cancer Using 68Ga-PSMA11 PET/CT
Proceedings of the Journal of Nuclear Medicine (bib)
F. Navarro, S. Conjeti, F. Tombari, N. Navab
Leveraging Web Data for Skin Lesion Classification
Proceedings of the Bildverarbeitung für die Medizin 2019 (bib)
M. Paschali, S. Conjeti, F. Navarro, N. Navab
Generalizability vs. Robustness of medical imaging networks
21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Spain 2018.
The original publication is available online at link.springer.com
F. Navarro, S. Conjeti, F. Tombari, N. Navab
Webly Supervised Learning for Skin Lesion Classification
Proceedings of the In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2018, Granada, Spain. (bib)
F. Navarro, N. Navab, D. Mateus
Optical classification of neoplastic colorectal polyps - a computer-assisted approach (the COACH study)
Journal, Scandinavian Journal of Gastroenterology (bib)
F. Navarro, D. Mateus, N. Navab
Computer assisted optical biopsy for colorectal polyps
Proceedings of the SPIE Medical Imaging, 2017, Orlando, Florida, United States (bib)

Title: M.Sc.
Circumference of your head (in cm): 200
Firstname: Fernando
Lastname: Navarro
Birthday: 14.01.1991
Nationality: Mexico
Languages: English, German, Spanish
Expertise: Medical Imaging
Position: Scientific Staff
Status: Active
Emailbefore: fernando.navarro
Emailafter: tum.de
Room: IMETUM/TranslaTUM

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