Scholar
Carsten T. Lüth
Google Scholar ID: 3L6NkggAAAAJ
PhD Student @ Interactive Machine Learning Research Group
Label Efficient Training of Deep Learning Models
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Citations & Impact
All-time
Citations
649
H-index
8
i10-index
7
Publications
20
Co-authors
11
list available
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Publications
6 items
Physics-IQ Verified
2026
Cited
0
Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance
2026
Cited
0
nnActive: A Framework for Evaluation of Active Learning in 3D Biomedical Segmentation
2025
Cited
0
SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA Tasks
arXiv.org · 2024
Cited
0
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
arXiv.org · 2024
Cited
0
Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation
arXiv.org · 2024
Cited
4
Co-authors
9 total
Paul F. Jaeger
Research Scientist at Google DeepMind
Klaus H. Maier-Hein
Professor, Medical Image Computing, German Cancer Research Center
Lukas Klein
EPFL, USZ
Till Bungert
German Cancer Research Center
Carsten Rother
Professor Uni Heidelberg / Germany
Ullrich Köthe
Adjunct Professor of Computer Science, University of Heidelberg
Fabian Isensee
HIP Applied Computer Vision Lab, Division of Medical Image Computing, German Cancer Research Center
David Zimmerer
German Cancer Research Center (DKFZ)
