Yannik C. Layer

According to our database, Yannik C. Layer authored at least 5 papers between 2022 and 2024.

Collaborative distances:

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

2024

Informed Deep Abstaining Classifier: Investigating noise-robust training for diagnostic decision support systems.

Helen Schneider, Sebastian Nowak, Aditya Parikh, Yannik C. Layer, Maike Theis, Wolfgang Block, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa

CoRR, 2024

2023

Symmetry-Aware Siamese Network: Exploiting Pathological Asymmetry for Chest X-Ray Analysis.

Helen Schneider, Elif Cansu Yildiz, David Biesner, Yannik C. Layer, Benjamin Wulff, Sebastian Nowak, Maike Theis, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Is one label all you need? Single positive multi-label training in medical image analysis.

Helen Schneider, Priya Priya, David Biesner, Rebecca Kador, Yannik C. Layer, Maike Theis, Sebastian Nowak, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Towards Symmetry-Aware Pneumonia Detection on Chest X-Rays.

Helen Schneider, Max Lübbering, Rebecca Kador, Maximilian Broß, Priya Priya, David Biesner, Benjamin Wulff, Thiago Bell Felix de Oliveira, Yannik C. Layer, Ulrike I. Attenberger, Rafet Sifa

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation.

Helen Schneider, David Biesner, Sebastian Nowak, Yannik C. Layer, Maike Theis, Wolfgang Block, Benjamin Wulff, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022