About me
I am a third-year PhD Candidate at ETH Zürich and the German Cancer Research Center (DKFZ). My work is dedicated to advancing scientific discovery through deep learning and explainable AI (XAI) applied to high-dimensional and multi-modal data. I contributed to multiple interdisciplinary discovery projects across the domains of 🩻 medical imaging, 🦠 microbiology, and 🧱 material sciences. My efforts extend to increasing the safety of AI systems through model uncertainty, XAI (meta-)evaluation and model failure detection with specific focus on Vision Language Models (VLMs).
🎓 Academic Education
- (Current) Ph.D. in Computer Science in the ISE Group at ETH Zürich and the IML Group at the DKFZ
- (Current) DKFZ International PhD Program & Fellowship at the Helmholtz International Graduate School for Cancer Research
- (Current) External member of the IVIA Lab at ETH Zürich
- Exchange, Master Thesis & Research Intern at ETH Zürich
- M.Sc. in Statistics at University of Geneva
- B.Sc. in Economics at University of Mannheim
📑 Publications
Explainable AI-based analysis of human pancreas sections detects traits of type 2 diabetes
Lukas Klein, Sebastian Ziegler, Yanni Morgenroth, Eyke Schoeniger, Michele Solimena, Felicia Gerst, Robert Wagner, Fabian Isensee, Klaus Maier-Hein, Paul F. Jaeger
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Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
Lukas Klein, Carsten Lueth, Udo Schlegel, Till Bungert, Mennatallah El-Assady, Paul F.Jaeger
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Enhancing predictive imaging biomarker discovery through treatment effect analysis
Shuhan Xiao, Lukas Klein, Paul F. Jaeger, Jens Petersen, Klaus Maier-Hein
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Interactive Semantic Interventions for VLMs: A Human-in-the-Loop Approach to Interpretability
Lukas Klein, Kenza Amara, Carsten T. Lüth, Antonio Foncubierta-Rodríguez, Hendrik Strobelt, Mennatallah El-Assady, Paul F. Jaeger
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Explainable AI-based analysis of human pancreas sections detects traits of type 2 diabetes
Lukas Klein, Sebastian Ziegler, Yanni Morgenroth, Eyke Schoeniger, Michele Solimena, Felicia Gerst, Robert Wagner, Fabian Isensee, Klaus Maier-Hein, Paul F. Jaeger
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Discovering Process Dynamic for Scalable Perovskite Solar Cell Manufacturing with Explainable AI
Lukas Klein, Sebastian Ziegler, Felix Laufer, Charlotte Debus, Markus Götz, Klaus Maier-Hein, Ulrich
W. Paetzold, Fabian Isensee, Paul F. Jaeger
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Understanding Solar Cell Manufacturing with Explainable AI
Lukas Klein, Sebastian Ziegler, Felix Laufer, Charlotte Debus, Markus Götz, Klaus Maier-Hein, Ulrich
W. Paetzold, Fabian Isensee, Paul F. Jaeger
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Semi-supervised automated Gleason Grading on WSI
Maximilian Fischer, Lars Krämer, Sebastian Ziegler, Lukas Klein, Paul F. Jaeger, Marco Molden, Peter Neher, Fabian Isensee, Klaus Maier-Hein
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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
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A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
Paul F. Jaeger, Carsten T. Lueth, Lukas Klein, Till J. Bungert
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From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process
Lukas Klein, Mennatallah El-Assady, Paul F Jaeger
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Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings
Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady, Paolo Penna, Joachim M. Buhmann, Paul F Jaeger
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📨 Contact
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Interactive Machine Learning Group (E290)
Deutsches Krebsforschungszentrum
Im Neuenheimer Feld 223
69120 Heidelberg - lukas.klein(at)dkfz.de
- GitHub
- Google Scholar