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pro vyhledávání: '"Fischer, Stefan"'
Autor:
Kiechle, Johannes, Lang, Daniel M., Fischer, Stefan M., Felsner, Lina, Peeken, Jan C., Schnabel, Julia A.
Recent studies have underscored the capabilities of natural imaging foundation models to serve as powerful feature extractors, even in a zero-shot setting for medical imaging data. Most commonly, a shallow multi-layer perceptron (MLP) is appended to
Externí odkaz:
http://arxiv.org/abs/2407.17219
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks
Autor:
Fischer, Stefan M., Felsner, Lina, Osuala, Richard, Kiechle, Johannes, Lang, Daniel M., Peeken, Jan C., Schnabel, Julia A.
In this work, we introduce Progressive Growing of Patch Size, a resource-efficient implicit curriculum learning approach for dense prediction tasks. Our curriculum approach is defined by growing the patch size during model training, which gradually i
Externí odkaz:
http://arxiv.org/abs/2407.07853
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2024)
Pathological lymph node delineation is crucial in cancer diagnosis, progression assessment, and treatment planning. The MICCAI 2023 Lymph Node Quantification Challenge published the first public dataset for pathological lymph node segmentation in the
Externí odkaz:
http://arxiv.org/abs/2406.14365
Publikováno v:
SEAA 2023
Regression testing is crucial in ensuring that pure code refactoring does not adversely affect existing software functionality, but it can be expensive, accounting for half the cost of software maintenance. Automated test case generation reduces effo
Externí odkaz:
http://arxiv.org/abs/2307.15527
Publikováno v:
SEAA 2023
Identifying and selecting high-quality Metamorphic Relations (MRs) is a challenge in Metamorphic Testing (MT). While some techniques for automatically selecting MRs have been proposed, they are either domain-specific or rely on strict assumptions abo
Externí odkaz:
http://arxiv.org/abs/2307.15522
We investigate the relaxation dynamics in a chiral one-dimensional quantum channel with finite range interactions, driven out of equilibrium by the injection of high-energy electrons. While the distribution of high-energy electrons, after dissipation
Externí odkaz:
http://arxiv.org/abs/2306.09891