Fernando Navarro

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

Education

• 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

Publications

2019
	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)
2018
	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 (bib)
	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)
2017
	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)