Till J. Bungert

PhD student, Deutsches Krebsforschungszentrum

Joined

February 2019

Names

Till J. Bungert (Preferred)

Till Bungert

Emails

****@stud.uni-heidelberg.de (Confirmed)

****@dkfz-heidelberg.de (Confirmed)

****@stud.uni-heidelberg.de (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Deutsches Krebsforschungszentrum (dkfz-heidelberg.de)

2021 – Present

MS student

Heidelberg University (uni-heidelberg.de)

2018 – 2021

Undergrad student

Heidelberg University (uni-heidelberg.de)

2014 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Klaus Maier-Hein

2024 – Present

PhD Advisor

Paul F Jaeger

2021 – 2024

Expertise

No areas of expertise listed

Publications

Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging
Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F Jaeger, Klaus Maier-Hein, Fabian Isensee
- Accepted by TMLR
- Readers: Everyone
nnActive: A Framework for Evaluation of Active Learning in 3D Biomedical Segmentation
Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F Jaeger, Fabian Isensee, Klaus Maier-Hein
- Accepted by TMLR
- Readers: Everyone
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 Jaeger
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
Overcoming Common Flaws in the Evaluation of Selective Classification Systems
Jeremias Traub, Till J. Bungert, Carsten T. Lüth, Michael Baumgartner, Klaus Maier-Hein, Lena Maier-hein, Paul F Jaeger
- NeurIPS 2024 spotlight
- Readers: Everyone
Abstract: Understanding Silent Failures in Medical Image Classification
Till J. Bungert, Levin Kobelke, Paul F. Jaeger
- Bildverarbeitung für die Medizin 2024
- Readers: Everyone
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
- Readers: Everyone
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
- Readers: Everyone
LATEC — A benchmark for large-scale attribution & attention evaluation in computer vision
Lukas Klein, Udo Schlegel, Till J. Bungert, Carsten T. Lüth, Mennatallah El-Assady, Paul F Jaeger
- Submitted to ICLR 2024
- Readers: Everyone
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment
Carsten Tim Lüth, Till J. Bungert, Lukas Klein, Paul F Jaeger
- NeurIPS 2023 poster
- Readers: Everyone
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
Paul F. Jaeger, Carsten T. Lüth, Lukas Klein, Till J. Bungert
- ICLR 2023
- Readers: Everyone

View all 16 publications