About me

I am a PostDoc at EPFL and the University Hospital Zürich, working with Charlotte Bunne and Andreas Wicki.

My interdisciplinary research advances personalized medicine by developing AI for spatial omics technologies that tackle diagnostic, therapeutic, and discovery tasks.

Previously, I completed my Ph.D. in Computer Science at ETH Zürich and the German Cancer Research Center (DKFZ), supervised by Joachim Buhmann and Paul Jäger.

🎓 Academic Education

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📑 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
Under review at Nature Metabolism

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
NeurIPS 2024

Enhancing predictive imaging biomarker discovery through treatment effect analysis

Shuhan Xiao, Lukas Klein, Paul F. Jaeger, Jens Petersen, Klaus Maier-Hein
WCAV 2024

Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities

Kenza Amara*, Lukas Klein*, Carsten Lüth, Paul Jäger, Hendrik Strobelt, Mennatallah El-Assady
Under review

Interactive Semantic Interventions for VLMs: A Human-in-the-Loop Investigation of VLM Failure

Lukas Klein*, Kenza Amara*, Carsten T. Lüth*, Antonio Foncubierta-Rodríguez, Hendrik Strobelt, Mennatallah El-Assady, Paul F. Jaeger
NeurIPS 2024 Safe Generative AI Workshop

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
NeurIPS 2024 IAI Workshop

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
Advanced Materials (IF: 30). This work has been covered i.a. by The Independent.

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
NeurIPS 2023 XAIA Workshop (Oral, Top 4 Paper)

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
ECDP 2024 (Oral)

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
NeurIPS 2023

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

Paul F. Jaeger, Carsten T. Lueth, Lukas Klein, Till J. Bungert
ICLR 2023 (Oral, Top 1% Paper)

From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process

Lukas Klein, Mennatallah El-Assady, Paul F Jaeger
IJCAI 2022 Workshop on XAI

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
MIDL 2022

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