Fernando Navarro
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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
75*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
352019
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
292018
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
252019
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
152020
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
132020
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
132018
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
62020
Geometry-aware neural solver for fast Bayesian calibration of brain tumor models
I Ezhov, T Mot, S Shit, J Lipkova, JC Paetzold, F Kofler, F Navarro, ...
arXiv e-prints, arXiv: 2009.04240, 2020
52020
Suprosanna Shit, Ivan Ezhov, Johannes Paetzold, Andrei Gafita, Jan C Peeken, Stephanie E Combs, and Bjoern H Menze,“Shapeaware complementary-task learning for multi-organ …
F Navarro
Machine Learning in Medical Imaging, 620-627, 2019
52019
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
42021
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
32021
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, 2021
32021
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
22020
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, 101340J, 2017
22017
A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images
G Tetteh, F Navarro, J Paetzold, J Kirschke, C Zimmer, BH Menze
arXiv preprint arXiv:2110.12508, 2021
2021
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, 1-10, 2021
2021
Differenzierung von atypischen lipomatösen Tumoren und Lipomen durch Deep Learning Analysen
S Foreman, C von Schacky, D Kramp, T Tomov, F Navarro, C Knebel, ...
RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2021
2021
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
2021
Improved Survival Prediction in Patients with Soft Tissue Sarcoma through the Application of Deep Learning
JC Peeken, F Navarro, MB Spraker, D Lang, S Bartzsch, MJ Nyflot, ...
STRAHLENTHERAPIE UND ONKOLOGIE 196 (SUPPL 1), S33-S34, 2020
2020
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Artikelen 1–20