Till J. Bungert

According to our database, Till J. Bungert authored at least 7 papers between 2023 and 2024.

Collaborative distances:

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

2024

Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics.

Lukas Klein, Carsten T. Lüth, Udo Schlegel, Till J. Bungert, Mennatallah El-Assady, Paul F. Jäger

CoRR, 2024

Overcoming Common Flaws in the Evaluation of Selective Classification Systems.

Jeremias Traub, Till J. Bungert, Carsten T. Lüth, Michael Baumgartner, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger

CoRR, 2024

Abstract: Understanding Silent Failures in Medical Image Classification.

Till J. Bungert, Levin Kobelke, Paul F. Jaeger

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification.

Carsten T. Lüth, Till J. Bungert, Lukas Klein, Paul F. Jaeger

CoRR, 2023

Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment.

Carsten T. Lüth, Till J. Bungert, Lukas Klein, Paul F. Jaeger

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding Silent Failures in Medical Image Classification.

Till J. Bungert, Levin Kobelke, Paul F. Jäger

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification.

Paul F. Jaeger, Carsten T. Lüth, Lukas Klein, Till J. Bungert

Proceedings of the Eleventh International Conference on Learning Representations, 2023