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Fabio Hellmann
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2020 – today
- 2024
- [j2]Fabio Hellmann, Elisabeth André, Mohamed Benouis, Benedikt Buchner, Silvan Mertes:
Anonymization of Faces. Datenschutz und Datensicherheit (dud) 48(6): 364-367 (2024) - [j1]Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, 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:
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. 97: 103230 (2024) - 2023
- [c4]Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Bernhard Bauer, Wolfgang Reif, Elisabeth André, Frank Kramer:
Towards Automated COVID-19 Presence and Severity Classification. MIE 2023: 917-921 - [c3]Ömer Sümer, Fabio Hellmann, Alexander Hustinx, Tzung-Chien Hsieh, Elisabeth André, Peter Krawitz:
Few-Shot Meta-Learning for Recognizing Facial Phenotypes of Genetic Disorders. MIE 2023: 932-936 - [c2]Alexander Hustinx, Fabio Hellmann, Ömer Sümer, Behnam Javanmardi, Elisabeth André, Peter Krawitz, Tzung-Chien Hsieh:
Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles. WACV 2023: 5007-5017 - [i5]Fabio Hellmann, Silvan Mertes, Mohamed Benouis, Alexander Hustinx, Tzung-Chien Hsieh, Cristina Conati, Peter Krawitz, Elisabeth André:
GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions. CoRR abs/2305.02143 (2023) - [i4]Dominik Müller, Niklas Schröter, Silvan Mertes, Fabio Hellmann, Miriam Elia, Wolfgang Reif, Bernhard Bauer, Elisabeth André, Frank Kramer:
Towards Automated COVID-19 Presence and Severity Classification. CoRR abs/2305.08660 (2023) - [i3]Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, 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:
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR abs/2306.10484 (2023) - 2022
- [i2]Ömer Sümer, Fabio Hellmann, Alexander Hustinx, Tzung-Chien Hsieh, Elisabeth André, Peter Krawitz:
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders. CoRR abs/2210.12705 (2022) - [i1]Alexander Hustinx, Fabio Hellmann, Ömer Sümer, Behnam Javanmardi, Elisabeth André, Peter Krawitz, Tzung-Chien Hsieh:
Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles. CoRR abs/2211.06764 (2022) - 2021
- [c1]Fabio Hellmann, Zhao Ren, Elisabeth André, Björn W. Schuller:
Deformable Dilated Faster R-CNN for Universal Lesion Detection in CT Images. EMBC 2021: 2896-2902
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last updated on 2024-10-07 22:08 CEST by the dblp team
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