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Fernando Navarro
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The liver tumor segmentation benchmark (lits)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis, 102680, 2022
4842022
Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples
M Paschali, S Conjeti, F Navarro, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2018
107*2018
qPSMA: semiautomatic software for whole-body tumor burden assessment in prostate cancer using 68Ga-PSMA11 PET/CT
A Gafita, M Bieth, M Krönke, G Tetteh, F Navarro, H Wang, E Günther, ...
Journal of Nuclear Medicine 60 (9), 1277-1283, 2019
582019
Shape-aware complementary-task learning for multi-organ segmentation
F Navarro, S Shit, I Ezhov, J Paetzold, A Gafita, JC Peeken, SE Combs, ...
International Workshop on Machine Learning in Medical Imaging, 620-627, 2019
412019
Deep learning-enabled multi-organ segmentation in whole-body mouse scans
O Schoppe, C Pan, J Coronel, H Mai, Z Rong, MI Todorov, A Müskes, ...
Nature communications 11 (1), 1-14, 2020
382020
Optical classification of neoplastic colorectal polyps–a computer-assisted approach (the COACH study)
J Renner, H Phlipsen, B Haller, F Navarro-Avila, Y Saint-Hill-Febles, ...
Scandinavian journal of gastroenterology 53 (9), 1100-1106, 2018
342018
Deep reinforcement learning for organ localization in CT
F Navarro, A Sekuboyina, D Waldmannstetter, JC Peeken, SE Combs, ...
Medical Imaging with Deep Learning, 544-554, 2020
262020
Webly supervised learning for skin lesion classification
F Navarro, S Conjeti, F Tombari, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2018
152018
Tumor sink effect in 68Ga-PSMA-11 PET: Myth or Reality?
A Gafita, H Wang, A Robertson, WR Armstrong, R Zaum, M Weber, ...
Journal of Nuclear Medicine 63 (2), 226-232, 2022
142022
Development and external validation of deep-learning-based tumor grading models in soft-tissue sarcoma patients using MR imaging
F Navarro, H Dapper, R Asadpour, C Knebel, MB Spraker, V Schwarze, ...
Cancers 13 (12), 2866, 2021
122021
Geometry-aware neural solver for fast Bayesian calibration of brain tumor models
I Ezhov, T Mot, S Shit, J Lipkova, JC Paetzold, F Kofler, C Pellegrini, ...
IEEE Transactions on Medical Imaging 41 (5), 1269-1278, 2021
11*2021
Grading loss: a fracture grade-based metric loss for vertebral fracture detection
M Husseini, A Sekuboyina, M Loeffler, F Navarro, BH Menze, JS Kirschke
International Conference on Medical Image Computing and Computer-Assisted …, 2020
112020
Evaluating the robustness of self-supervised learning in medical imaging
F Navarro, C Watanabe, S Shit, A Sekuboyina, JC Peeken, SE Combs, ...
arXiv preprint arXiv:2105.06986, 2021
92021
Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements
S Rühling, F Navarro, A Sekuboyina, M El Husseini, T Baum, B Menze, ...
European Radiology 32 (3), 1465-1474, 2022
52022
Suprosanna Shit, Ivan Ezhov, Johannes Paetzold, Andrei Gafita, Jan C. Peeken, Stephanie E. Combs, and Bjoern H. Menze.“Shape-Aware Complementary-Task Learning for Multi-organ …
F Navarro
Machine Learning in Medical Imaging, 620-627, 2019
52019
Reinforced redetection of landmark in pre-and post-operative brain scan using anatomical guidance for image alignment
D Waldmannstetter, F Navarro, B Wiestler, JS Kirschke, A Sekuboyina, ...
International Workshop on Biomedical Image Registration, 81-90, 2020
32020
A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning
F Navarro, G Sasahara, S Shit, I Ezhov, JC Peeken, SE Combs, ...
arXiv preprint arXiv:2203.00624, 2022
22022
Robust, Primitive, and Unsupervised Quality Estimation for Segmentation Ensembles
F Kofler, I Ezhov, L Fidon, CM Pirkl, JC Paetzold, E Burian, S Pati, ...
Frontiers in Neuroscience 15, 2021
22021
Computer assisted optical biopsy for colorectal polyps
FJ Navarro-Avila, Y Saint-Hill-Febles, J Renner, P Klare, S von Delius, ...
Medical Imaging 2017: Computer-Aided Diagnosis 10134, 127-133, 2017
22017
Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging Perspective
F Navarro, C Watanabe, S Shit, A Sekuboyina, JC Peeken, SE Combs, ...
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
12022
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