Lukas Klein

17 papers A* 3A 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging.
CoRR
Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jäger, Klaus H. Maier-Hein, Fabian Isensee
2026 J jnl
Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging.
Trans. Mach. Learn. Res.
Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jaeger, Klaus H. Maier-Hein, Fabian Isensee
2025 A conf
Enhancing Predictive Imaging Biomarker Discovery Through Treatment Effect Analysis.
WACV
Shuhan Xiao, Lukas Klein, Jens Petersen, Philipp Vollmuth, Paul F. Jaeger, Klaus H. Maier-Hein
2025 J jnl
nnActive: A Framework for Evaluation of Active Learning in 3D Biomedical Segmentation.
CoRR
Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein
2025 J jnl
nnActive: A Framework for Evaluation of Active Learning in 3D Biomedical Segmentation.
Trans. Mach. Learn. Res.
Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein
2024 J jnl
Enhancing predictive imaging biomarker discovery through treatment effect analysis.
CoRR
Shuhan Xiao, Lukas Klein, Jens Petersen, Philipp Vollmuth, Paul F. Jaeger, Klaus H. Maier-Hein
2024 A* conf
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics.
NeurIPS
Lukas Klein, Carsten T. Lüth, Udo Schlegel, Till J. Bungert, Mennatallah El-Assady, Paul F. Jaeger
2024 J jnl
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics.
CoRR
Lukas Klein, Carsten T. Lüth, Udo Schlegel, Till J. Bungert, Mennatallah El-Assady, Paul F. Jäger
2024 J jnl
Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities.
CoRR
Kenza Amara, Lukas Klein, Carsten T. Lüth, Paul Jäger, Hendrik Strobelt, Mennatallah El-Assady
2023 A* conf
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification.
ICLR
Paul F. Jaeger, Carsten T. Lüth, Lukas Klein, Till J. Bungert
2023 — conf
Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data.
PervasiveHealth
Lukas Klein, Christoph Ostrau, Michael Thies, Wolfram Schenck, Ulrich Rückert
2023 J jnl
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings.
CoRR
Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady, Paolo Penna, Joachim M. Buhmann, Paul F. Jaeger
2023 A* conf
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment.
NeurIPS
Carsten T. Lüth, Till J. Bungert, Lukas Klein, Paul F. Jaeger
2023 J jnl
Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification.
CoRR
Carsten T. Lüth, Till J. Bungert, Lukas Klein, Paul F. Jaeger
2022 J jnl
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification.
CoRR
Paul F. Jaeger, Carsten T. Lüth, Lukas Klein, Till J. Bungert
2022 J jnl
From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process.
CoRR
Lukas Klein, Mennatallah El-Assady, Paul F. Jäger
2022 — conf
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings.
MIDL
Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady, Paolo Penna, Joachim M. Buhmann, Paul F. Jaeger