Fernando Navarro

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 25

Top Topics

Medical Image Segmentation

Weighted Averaging

Top Venues

Bildverarbeitung für die Medizin

Medical Image Anal.

Publications

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, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR (2024)
Malte Tölle, Fernando Navarro, Sebastian Eble, Ivo Wolf, Bjoern H. Menze, Sandy Engelhardt
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels. CoRR (2024)
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 (2023)
Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84 (2023)
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 (2022)
Bastian Wittmann, Fernando Navarro, Suprosanna Shit, Bjoern H. Menze
Focused Decoding Enables 3D Anatomical Detection by Transformers. CoRR (2022)
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)
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)
Ivan Ezhov, Tudor Mot, Suprosanna Shit, Jana Lipková, Johannes C. Paetzold, Florian Kofler, Chantal Pellegrini, Marcel Kollovieh, Fernando Navarro, Hongwei Li, Marie Metz, Benedikt Wiestler, Bjoern H. Menze
Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models. IEEE Trans. Medical Imaging 41 (5) (2022)
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 (2021)
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 (2021)
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 (2020)
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)
Diana Waldmannstetter, Fernando Navarro, Benedikt Wiestler, Jan S. Kirschke, Anjany Sekuboyina, Ester Molero, Bjoern H. Menze
Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment. WBIR (2020)
Fernando Navarro, Anjany Sekuboyina, Diana Waldmannstetter, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze
Deep Reinforcement Learning for Organ Localization in CT. CoRR (2020)
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 (2020)
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. MICCAI (6) (2020)
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 (2019)
Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab
Abstract: Leveraging Web Data for Skin Lesion Classification. Bildverarbeitung für die Medizin (2019)
Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab
Abstract: Adversarial Examples as Benchmark for Medical Imaging Neural Networks. Bildverarbeitung für die Medizin (2019)
Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Andrei Gafita, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze
Shape-Aware Complementary-Task Learning for Multi-organ Segmentation. MLMI@MICCAI (2019)
Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab
Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples. MICCAI (1) (2018)
Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab
Webly Supervised Learning for Skin Lesion Classification. CoRR (2018)
Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab
Webly Supervised Learning for Skin Lesion Classification. MICCAI (2) (2018)
Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab
Generalizability vs. Robustness: Adversarial Examples for Medical Imaging. CoRR (2018)
Fernando Navarro, Susana Castillo, Francisco J. Serón, Diego Gutierrez
Perceptual considerations for motion blur rendering. ACM Trans. Appl. Percept. 8 (3) (2011)
Fernando Navarro, Francisco J. Serón, Diego Gutierrez
Motion Blur Rendering: State of the Art. Comput. Graph. Forum 30 (1) (2011)
Sergio Damas, Oscar Cordón, Óscar Ibáñez, José Santamaría, Inmaculada Alemán, Miguel Botella, Fernando Navarro
Forensic identification by computer-aided craniofacial superimposition: A survey. ACM Comput. Surv. 43 (4) (2011)
José Santamaría, Oscar Cordón, Sergio Damas, José M. García-Torres, Fernando Navarro
A Study of the Suitability of Evolutionary Computation in 3D Modeling of Forensic Remains. CAEPIA (2011)
Fernando Navarro, Diego Gutierrez, Francisco J. Serón
Interactive HDR lighting of dynamic participating media. Vis. Comput. 25 (4) (2009)