Interactive HDR lighting of dynamic participating media. - Fernando Navarro; Diego Gutierrez; Francisco J. Serón (Vis. Comput., 2009)

A Study of the Suitability of Evolutionary Computation in 3D Modeling of Forensic Remains. - José Santamaría; Oscar Cordón; Sergio Damas; José M. García-Torres; Fernando Navarro (CAEPIA, 2011)

Motion Blur Rendering: State of the Art. - Fernando Navarro; Francisco J. Serón; Diego Gutierrez (Comput. Graph. Forum, 2011)

Forensic identification by computer-aided craniofacial superimposition: A survey. - Sergio Damas; Oscar Cordón; Óscar Ibáñez; José Santamaría; Inmaculada Alemán; Miguel Botella; Fernando Navarro (ACM Comput. Surv., 2011)

Perceptual considerations for motion blur rendering. - Fernando Navarro; Susana Castillo 001; Francisco J. Serón; Diego Gutierrez (ACM Trans. Appl. Percept., 2011)

Webly Supervised Learning for Skin Lesion Classification. - Fernando Navarro; Sailesh Conjeti; Federico Tombari; Nassir Navab (MICCAI (2), 2018)

Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples. - Magdalini Paschali; Sailesh Conjeti; Fernando Navarro; Nassir Navab (MICCAI (1), 2018)

Generalizability vs. Robustness: Adversarial Examples for Medical Imaging. - Magdalini Paschali; Sailesh Conjeti; Fernando Navarro; Nassir Navab (CoRR, 2018)

Abstract: Leveraging Web Data for Skin Lesion Classification. - Fernando Navarro; Sailesh Conjeti; Federico Tombari; Nassir Navab (Bildverarbeitung für die Medizin, 2019)

Abstract: Adversarial Examples as Benchmark for Medical Imaging Neural Networks. - Magdalini Paschali; Sailesh Conjeti; Fernando Navarro; Nassir Navab (Bildverarbeitung für die Medizin, 2019)

Shape-Aware Complementary-Task Learning for Multi-organ Segmentation. - Fernando Navarro; Suprosanna Shit; Ivan Ezhov; Johannes C. Paetzold; Andrei Gafita; Jan C. Peeken; Stephanie E. Combs; Bjoern H. Menze (MLMI@MICCAI, 2019)

Grading Loss: A Fracture Grade-Based Metric Loss for Vertebral Fracture Detection. - Malek El Husseini; Anjany Sekuboyina; Maximilian Löffler; Fernando Navarro; Bjoern H. Menze; Jan S. Kirschke (MICCAI (6), 2020)

Deep Reinforcement Learning for Organ Localization in CT. - Fernando Navarro; Anjany Sekuboyina; Diana Waldmannstetter; Jan C. Peeken; Stephanie E. Combs; Bjoern H. Menze (MIDL, 2020)

Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment. - Diana Waldmannstetter; Fernando Navarro; Benedikt Wiestler; Jan S. Kirschke; Anjany Sekuboyina; Ester Molero; Bjoern H. Menze (WBIR, 2020)

Real-time Bayesian personalization via a learnable brain tumor growth model. - Ivan Ezhov; Tudor Mot; Suprosanna Shit; Jana Lipková; Johannes C. Paetzold; Florian Kofler; Fernando Navarro; Marie Metz; Benedikt Wiestler; Björn H. Menze (CoRR, 2020)

Evaluating the Robustness of Self-Supervised Learning in Medical Imaging. - Fernando Navarro; Christopher Watanabe; Suprosanna Shit; Anjany Sekuboyina; Jan C. Peeken; Stephanie E. Combs; Bjoern H. Menze (CoRR, 2021)

A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images. - Giles Tetteh; Fernando Navarro; Johannes C. Paetzold; Jan Kirschke; Claus Zimmer; Bjoern H. Menze (CoRR, 2021)

A Unified 3D Framework for Organs-at-Risk Localization and Segmentation for Radiation Therapy Planning. - Fernando Navarro; Guido Sasahara; Suprosanna Shit; Anjany Sekuboyina; Ivan Ezhov; Jan C. Peeken; Stephanie E. Combs; Bjoern H. Menze (EMBC, 2022)

Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging Perspective. - Fernando Navarro; Christopher Watanabe; Suprosanna Shit; Anjany Sekuboyina; Jan C. Peeken; Stephanie E. Combs; Bjoern H. Menze (EMBC, 2022)

A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning. - Fernando Navarro; Guido Sasahara; Suprosanna Shit; Ivan Ezhov; Jan C. Peeken; Stephanie E. Combs; Bjoern H. Menze (CoRR, 2022)

Focused Decoding Enables 3D Anatomical Detection by Transformers. - Bastian Wittmann; Fernando Navarro; Suprosanna Shit; Bjoern H. Menze (CoRR, 2022)

Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models. - Ivan Ezhov; Tudor Mot; Suprosanna Shit; Jana Lipková; Johannes C. Paetzold; Florian Kofler; Chantal Pellegrini; Marcel Kollovieh; Fernando Navarro; Hongwei Li 004; Marie Metz; Benedikt Wiestler; et al. (IEEE Trans. Medical Imaging, 2022)

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. - Kaiyuan Yang 003; 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; et al. (CoRR, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels. - Malte Tölle; Fernando Navarro; Sebastian Eble; Ivo Wolf; Bjoern H. Menze; Sandy Engelhardt (MICCAI (10), 2024)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. - 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; et al. (CoRR, 2024)

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography. - Murong Xu; Tamaz Amiranashvili; Fernando Navarro; Maksym Fritsak; Ibrahim Ethem Hamamci; Suprosanna Shit; Bastian Wittmann; Sezgin Er; Sebastian M. Christ; Ezequiel de la Rosa; Julian Deseoe; Robert Graf; et al. (CoRR, 2025)