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A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images

Oct 24, 2021
Giles Tetteh, Fernando Navarro, Johannes Paetzold, Jan Kirschke, Claus Zimmer, Bjoern H. Menze

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Evaluating the Robustness of Self-Supervised Learning in Medical Imaging

May 14, 2021
Fernando Navarro, Christopher Watanabe, Suprosanna Shit, Anjany Sekuboyina, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze

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Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection

Aug 18, 2020
Malek Husseini, Anjany Sekuboyina, Maximilian Loeffler, Fernando Navarro, Bjoern H. Menze, Jan S. Kirschke

* To be presented at MICCAI 2020 

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Deep Reinforcement Learning for Organ Localization in CT

May 11, 2020
Fernando Navarro, Anjany Sekuboyina, Diana Waldmannstetter, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze

* Accepted paper in MIDL 2020 

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Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation

Aug 14, 2019
Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes Paetzold, Andrei Gafita, Jan Peeken, Stephanie Combs, Bjoern Menze

* Accepted in MLMI Workshop 2019 MICCAI 

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Webly Supervised Learning for Skin Lesion Classification

Mar 31, 2018
Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab

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Generalizability vs. Robustness: Adversarial Examples for Medical Imaging

Mar 23, 2018
Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab

* Under Review for MICCAI 2018 

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