Fabio Hellmann

According to our database, Fabio Hellmann authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data.

Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois

CoRR, 2023

GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions.

Fabio Hellmann, Silvan Mertes, Mohamed Benouis, Alexander Hustinx, Tzung-Chien Hsieh, Cristina Conati, Peter Krawitz, Elisabeth André

CoRR, 2023

Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles.

Alexander Hustinx, Fabio Hellmann, Ömer Sümer, Behnam Javanmardi, Elisabeth André, Peter Krawitz, Tzung-Chien Hsieh

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Few-Shot Meta-Learning for Recognizing Facial Phenotypes of Genetic Disorders.

Ömer Sümer, Fabio Hellmann, Alexander Hustinx, Tzung-Chien Hsieh, Elisabeth André, Peter Krawitz

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Towards Automated COVID-19 Presence and Severity Classification.

Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Bernhard Bauer, Wolfgang Reif, Elisabeth André, Frank Kramer

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

2021

Deformable Dilated Faster R-CNN for Universal Lesion Detection in CT Images.

Fabio Hellmann, Zhao Ren, Elisabeth André, Björn W. Schuller

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021