Zobrazeno 1 - 10
of 5 199
pro vyhledávání: '"ȘTEFAN, M."'
High-Speed Graphene-based Sub-Terahertz Receivers enabling Wireless Communications for 6G and Beyond
Autor:
Soundarapandian, Karuppasamy Pandian, Castilla, Sebastián, Koepfli, Stefan M., Marconi, Simone, Kulmer, Laurenz, Vangelidis, Ioannis, de la Bastida, Ronny, Rongione, Enzo, Tongay, Sefaattin, Watanabe, Kenji, Taniguchi, Takashi, Lidorikis, Elefterios, Tielrooij, Klaas-Jan, Leuthold, Juerg, Koppens, Frank H. L.
In recent years, the telecommunications field has experienced an unparalleled proliferation of wireless data traffic. Innovative solutions are imperative to circumvent the inherent limitations of the current technology, in particular in terms of capa
Externí odkaz:
http://arxiv.org/abs/2411.02269
Enhancing AI Accessibility in Veterinary Medicine: Linking Classifiers and Electronic Health Records
Autor:
Kong, Chun Yin, Vasquez, Picasso, Farhoodimoghadam, Makan, Brandt, Chris, Brown, Titus C., Reagan, Krystle L., Zwingenberger, Allison, Keller, Stefan M.
In the rapidly evolving landscape of veterinary healthcare, integrating machine learning (ML) clinical decision-making tools with electronic health records (EHRs) promises to improve diagnostic accuracy and patient care. However, the seamless integra
Externí odkaz:
http://arxiv.org/abs/2410.14625
Autor:
Wulcan, Judit M, Jacques, Kevin L, Lee, Mary Ann, Kovacs, Samantha L, Dausend, Nicole, Prince, Lauren E, Wulcan, Jonatan, Marsilio, Sina, Keller, Stefan M
Large language models (LLMs) can extract information from veterinary electronic health records (EHRs), but performance differences between models, the effect of temperature settings, and the influence of text ambiguity have not been previously evalua
Externí odkaz:
http://arxiv.org/abs/2409.13727
Autor:
Dorent, Reuben, Khajavi, Roya, Idris, Tagwa, Ziegler, Erik, Somarouthu, Bhanusupriya, Jacene, Heather, LaCasce, Ann, Deissler, Jonathan, Ehrhardt, Jan, Engelson, Sofija, Fischer, Stefan M., Gu, Yun, Handels, Heinz, Kasai, Satoshi, Kondo, Satoshi, Maier-Hein, Klaus, Schnabel, Julia A., Wang, Guotai, Wang, Litingyu, Wald, Tassilo, Yang, Guang-Zhong, Zhang, Hanxiao, Zhang, Minghui, Pieper, Steve, Harris, Gordon, Kikinis, Ron, Kapur, Tina
Accurate assessment of lymph node size in 3D CT scans is crucial for cancer staging, therapeutic management, and monitoring treatment response. Existing state-of-the-art segmentation frameworks in medical imaging often rely on fully annotated dataset
Externí odkaz:
http://arxiv.org/abs/2408.10069
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
Autor:
Dadashi, Somaiyeh, Adhikari, Narendra M., Li, Hao, Piontek, Stefan M., Wang, Zheming, Rosso, Kevin M., Borguet, Eric
The dielectric constant ($\varepsilon^{\prime}$) of interfacial water is an important parameter, but its measurement has posed challenges, and no consensus has been reached on a generalized expression. We derived a formula for $\varepsilon^{\prime}$
Externí odkaz:
http://arxiv.org/abs/2406.15964
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
Recently, energy encryption for wireless power transfer has been developed for energy safety, which is important in public places to suppress unauthorized energy extraction. Most techniques vary the frequency so that unauthorized receivers cannot ext
Externí odkaz:
http://arxiv.org/abs/2406.12019
A/B testing methodology is generally performed by private companies to increase user engagement and satisfaction about online features. Their usage is far from being transparent and may undermine user autonomy (e.g. polarizing individual opinions, mi
Externí odkaz:
http://arxiv.org/abs/2405.01165