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Fernando Navarro
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2020 – today
- 2024
- [c12]Malte Tölle
, Fernando Navarro
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels. MICCAI (10) 2024: 405-415 - [i13]Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - [i12]Malte Tölle, Fernando Navarro, Sebastian Eble, Ivo Wolf, Bjoern H. Menze, Sandy Engelhardt:
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels. CoRR abs/2407.07488 (2024) - 2023
- [j6]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [i11]Kaiyuan Yang, Fabio Musio, Yihui Ma, Norman Juchler, Johannes C. Paetzold, Rami Al-Maskari, Luciano Höher, Hongwei Bran Li, Ibrahim Ethem Hamamci, Anjany Sekuboyina, Suprosanna Shit, Houjing Huang, Diana Waldmannstetter, Florian Kofler, Fernando Navarro, Martin J. Menten, Ivan Ezhov, Daniel Rueckert, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf, Julien Hämmerli, Catherine Wurster, Philippe Bijlenga, Laura Westphal, Jeroen Bisschop, Elisa Colombo, Hakim Baazaoui, Andrew Makmur, James Hallinan, Benedikt Wiestler, Jan S. Kirschke, Roland Wiest, Emmanuel Montagnon, Laurent Létourneau-Guillon, Adrian Galdran, Francesco Galati, Daniele Falcetta, Maria A. Zuluaga, Chaolong Lin, Haoran Zhao, Zehan Zhang, Sinyoung Ra, Jongyun Hwang, Hyunjin Park, Junqiang Chen, Marek Wodzinski, Henning Müller, et al.:
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. CoRR abs/2312.17670 (2023) - 2022
- [j5]Ivan Ezhov
Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models. IEEE Trans. Medical Imaging 41(5): 1269-1278 (2022) - [c11]Fernando Navarro, Guido Sasahara, Suprosanna Shit, Anjany Sekuboyina, Ivan Ezhov, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze
A Unified 3D Framework for Organs-at-Risk Localization and Segmentation for Radiation Therapy Planning. EMBC 2022: 1544-1547 - [c10]Fernando Navarro, Christopher Watanabe, Suprosanna Shit, Anjany Sekuboyina, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze
Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging Perspective. EMBC 2022: 5074-5079 - [i10]Fernando Navarro, Guido Sasahara, Suprosanna Shit, Ivan Ezhov, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze:
A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning. CoRR abs/2203.00624 (2022) - [i9]Bastian Wittmann, Fernando Navarro, Suprosanna Shit, Bjoern H. Menze:
Focused Decoding Enables 3D Anatomical Detection by Transformers. CoRR abs/2207.10774 (2022) - 2021
- [i8]Fernando Navarro, Christopher Watanabe, Suprosanna Shit, Anjany Sekuboyina, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze:
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging. CoRR abs/2105.06986 (2021) - [i7]Giles Tetteh, Fernando Navarro, Johannes C. Paetzold, Jan Kirschke, Claus Zimmer, Bjoern H. Menze:
A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images. CoRR abs/2110.12508 (2021) - 2020
- [c9]Malek El Husseini, Anjany Sekuboyina, Maximilian Löffler, Fernando Navarro, Bjoern H. Menze
Grading Loss: A Fracture Grade-Based Metric Loss for Vertebral Fracture Detection. MICCAI (6) 2020: 733-742 - [c8]Fernando Navarro, Anjany Sekuboyina, Diana Waldmannstetter, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze:
Deep Reinforcement Learning for Organ Localization in CT. MIDL 2020: 544-554 - [c7]Diana Waldmannstetter, Fernando Navarro, Benedikt Wiestler
Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment. WBIR 2020: 81-90 - [i6]Fernando Navarro, Anjany Sekuboyina, Diana Waldmannstetter, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze:
Deep Reinforcement Learning for Organ Localization in CT. CoRR abs/2005.04974 (2020) - [i5]Malek El Husseini, Anjany Sekuboyina, Maximilian Löffler, Fernando Navarro, Bjoern H. Menze, Jan S. Kirschke:
Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection. CoRR abs/2008.07831 (2020) - [i4]Ivan Ezhov, Tudor Mot, Suprosanna Shit, Jana Lipková, Johannes C. Paetzold, Florian Kofler, Fernando Navarro, Marie Metz, Benedikt Wiestler, Björn H. Menze:
Real-time Bayesian personalization via a learnable brain tumor growth model. CoRR abs/2009.04240 (2020)
2010 – 2019
- 2019
- [c6]Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab:
Abstract: Adversarial Examples as Benchmark for Medical Imaging Neural Networks. Bildverarbeitung für die Medizin 2019: 14 - [c5]Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab:
Abstract: Leveraging Web Data for Skin Lesion Classification. Bildverarbeitung für die Medizin 2019: 199 - [c4]Fernando Navarro, Suprosanna Shit
Shape-Aware Complementary-Task Learning for Multi-organ Segmentation. MLMI@MICCAI 2019: 620-627 - [i3]Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Andrei Gafita, Jan Peeken, Stephanie Combs, Bjoern H. Menze:
Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation. CoRR abs/1908.05099 (2019) - 2018
- [c3]Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab:
Webly Supervised Learning for Skin Lesion Classification. MICCAI (2) 2018: 398-406 - [c2]Magdalini Paschali
Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples. MICCAI (1) 2018: 493-501 - [i2]Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab:
Webly Supervised Learning for Skin Lesion Classification. CoRR abs/1804.00177 (2018) - [i1]Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab:
Generalizability vs. Robustness: Adversarial Examples for Medical Imaging. CoRR abs/1804.00504 (2018) - 2011
- [j4]Fernando Navarro, Francisco J. Serón
Motion Blur Rendering: State of the Art. Comput. Graph. Forum 30(1): 3-26 (2011) - [j3]Sergio Damas
Forensic identification by computer-aided craniofacial superimposition: A survey. ACM Comput. Surv. 43(4): 27:1-27:27 (2011) - [j2]Fernando Navarro, Susana Castillo
Perceptual considerations for motion blur rendering. ACM Trans. Appl. Percept. 8(3): 20:1-20:15 (2011) - [c1]José Santamaría
A Study of the Suitability of Evolutionary Computation in 3D Modeling of Forensic Remains. CAEPIA 2011: 293-302
2000 – 2009
- 2009
- [j1]Fernando Navarro, Diego Gutierrez
Interactive HDR lighting of dynamic participating media. Vis. Comput. 25(4): 339-347 (2009)
Coauthor Index
aka: Björn H. Menze
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