Lukas Klein

According to our database, Lukas Klein authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

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 H. Maier-Hein, Fabian Isensee

Trans. Mach. Learn. Res., 2026

2025

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 H. Maier-Hein

Trans. Mach. Learn. Res., 2025

Enhancing Predictive Imaging Biomarker Discovery Through Treatment Effect Analysis.

Shuhan Xiao, Lukas Klein, Jens Petersen, Philipp Vollmuth, Paul F. Jaeger, Klaus H. Maier-Hein

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

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

Kenza Amara, Lukas Klein, Carsten T. Lüth, Paul Jäger, Hendrik Strobelt, Mennatallah El-Assady

CoRR, 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. Jaeger

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 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

Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data.

Lukas Klein, Christoph Ostrau, Michael Thies, Wolfram Schenck, Ulrich Rückert

Proceedings of the Pervasive Computing Technologies for Healthcare, 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

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

2022

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

Lukas Klein, Mennatallah El-Assady, Paul F. Jäger

CoRR, 2022

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022