Fernando Navarro

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Bjoern H MenzeUniversität ZürichDirección de correo verificada de uzh.ch
Jan C. PeekenGroup Leader "Artificial Intelligence and Radiomics in Radiation Oncology", Technical University of Munich and Institute of Radiation Medicine, Helmholtz Zentrum MünchenDirección de correo verificada de tum.de
Nassir NavabProfessor of Computer Science, Technische Universität MünchenDirección de correo verificada de cs.tum.edu
Suprosanna ShitUniversity of Zurich | ETH AI CenterDirección de correo verificada de uzh.ch
Anjany SekuboyinaPhD Student, Technical University of MunichDirección de correo verificada de tum.de
Sailesh ConjetiGlobal Product Lead, Artificial Intelligence, OlympusDirección de correo verificada de olympus.com
Johannes C. PaetzoldImperial College LondonDirección de correo verificada de ic.ac.uk
Magdalini PaschaliPostdoctoral Scholar, Stanford UniversityDirección de correo verificada de stanford.edu
Jan KirschkeNeuroradiologe, Technische Universität MünchenDirección de correo verificada de tum.de
Ivan EzhovTechnical University of MunichDirección de correo verificada de tum.de
Diana MateusEcole Centrale Nantes / LS2NDirección de correo verificada de ec-nantes.fr
Giles TettehDoctoral Candidate, Technische Universität München (TUM)Dirección de correo verificada de tum.de
Matthew NyflotUniversity of WashingtonDirección de correo verificada de uw.edu
Alexandra GersingProfessor of Radiology, University Hospital Munich, Ludwig-Maximilians-University MunichDirección de correo verificada de tum.de
Carolin KnebelOberärztin, Klinik für Orthopädie Klinikum rechts der Isar der TU MünchenDirección de correo verificada de tum.de
Hui WangChair of Nuclear Medicine, Technical University MunichDirección de correo verificada de tum.de
Philippe LambinProfessor of Precision Medicine, Maastricht University & Scientist ULBDirección de correo verificada de maastrichtuniversity.nl
Stephanie K. SchaubUniversity of Washington School of MedicineDirección de correo verificada de uw.edu
Henry C WoodruffThe D-Lab, Department of Precision Medicine, Maastricht UniversityDirección de correo verificada de maastrichtuniversity.nl
Malek El HusseiniPhD StudentDirección de correo verificada de tum.de

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Fernando Navarro

Technische Universität München

Dirección de correo verificada de tum.de - Página principal

Machine Learning Deep Learning Computer Vision Medical Image Computing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023	1274	2023
Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples M Paschali, S Conjeti, F Navarro, N Navab Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	208*	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	109	2019
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), 5626, 2020	86	2020
Shape-aware complementary-task learning for multi-organ segmentation F Navarro, S Shit, I Ezhov, J Paetzold, A Gafita, JC Peeken, SE Combs, ... Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019	70	2019
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	62	2022
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	49	2021
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	45	2018
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	44	2020
Grading loss: a fracture grade-based metric loss for vertebral fracture detection M Husseini, A Sekuboyina, M Loeffler, F Navarro, BH Menze, JS Kirschke Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020	29	2020
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, 2022	24	2022
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	24	2021
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	22*	2021
Webly supervised learning for skin lesion classification F Navarro, S Conjeti, F Tombari, N Navab Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	18	2018
Benchmarking the cow with the topcow challenge: Topology-aware anatomical segmentation of the circle of willis for cta and mra K Yang, F Musio, Y Ma, N Juchler, JC Paetzold, R Al-Maskari, L Höher, ... ArXiv, 2023	16	2023
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	11	2019
A deep learning approach to predict collateral flow in stroke patients using radiomic features from perfusion images G Tetteh, F Navarro, R Meier, J Kaesmacher, JC Paetzold, JS Kirschke, ... Frontiers in neurology 14, 1039693, 2023	9	2023
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, 752780, 2021	9	2021
Focused decoding enables 3D anatomical detection by transformers B Wittmann, F Navarro, S Shit, B Menze arXiv preprint arXiv:2207.10774, 2022	7	2022
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	7	2022

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