Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Eric Heim"'
Publikováno v:
Statistical Analysis and Data Mining: The ASA Data Science Journal. 14:97-115
We propose a combined model, which integrates the latent factor model and a sparse graphical model, for network data. It is noticed that neither a latent factor model nor a sparse graphica...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bbeaf0d97cac89b62336be071617acc
https://doi.org/10.1002/sam.11492
https://doi.org/10.1002/sam.11492
Publikováno v:
Watershed Sciences Faculty Publications
Here, there, and everywhere No place is safe from plastic pollution. Brahney et al. show that even the most isolated areas in the United States—national parks and national wilderness areas—accumulate microplastic particles after they are transpor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::625efc36dcf322b2b6cdd5b439100eb5
https://doi.org/10.1126/science.aaz5819
https://doi.org/10.1126/science.aaz5819
Autor:
Jiajue Chai, Jack E. Dibb, Bruce E. Anderson, Claire Bekker, Danielle E. Blum, Eric Heim, Carolyn E. Jordan, Emily E. Joyce, Jackson H. Kaspari, Hannah Munro, Wendell W. Walters, Meredith G. Hastings
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::342f583bc41664804ab2b09602476a10
https://doi.org/10.5194/acp-2021-225-supplement
https://doi.org/10.5194/acp-2021-225-supplement
Eleven billion tons of plastic are projected to accumulate in the environment by 2025. Because plastics are persistent, they fragment into pieces that are susceptible to wind entrainment. Using high resolution spatial and temporal data we tested whet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9258b95d1962d7f0489867b262c6e7dc
https://doi.org/10.5194/egusphere-egu21-16331
https://doi.org/10.5194/egusphere-egu21-16331
Autor:
Eric Heim
Publikováno v:
CVPR
Generative Adversarial Networks (GANs) have received a great deal of attention due in part to recent success in generating original, high-quality samples from visual domains. However, most current methods only allow for users to guide this image gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edae2e02ee3242816d11ce5ee88f1b44
Autor:
Alexander W. Sauter, Hannes Kenngott, Jasmin Metzger, Felix Wagner, Bram Stieltjes, Johannes Lebert, Matthias Eisenmann, Eric Heim, Alexander Seitel, Keno März, Tobias Roß, Gregor Sommer, Fides Regina Schwartz, Lena Maier-Hein, Andreas Termer
Accurate segmentations in medical images are the foundations for various clinical applications. Advances in machine learning-based techniques show great potential for automatic image segmentation, but these techniques usually require a huge amount of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cbdb4ca5f3c2829cc90fa25bcaf896a
https://europepmc.org/articles/PMC6129178/
https://europepmc.org/articles/PMC6129178/
Publikováno v:
AAAI
Scopus-Elsevier
Scopus-Elsevier
In many domains, collecting sufficient labeled training data for supervised machine learning requires easily accessible but noisy sources, such as crowdsourcing services or tagged Web data. Noisy labels occur frequently in data sets harvested via the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07c49cacf96bdf7b72fd27ca93ce08c9
Publikováno v:
Informatik aktuell ISBN: 9783662543443
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
Mit der vermehrten Verbreitung von Verfahren aus dem Bereich des Maschinellen Lernens in der medizinische Bildverarbeitung wird eine grose Menge von akkurat annotierten medizinischen Bilddaten benotigt. Die begrenzten Ressourcen von medizinischen Exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::659acb2f064d70665c0431569c119f00
https://doi.org/10.1007/978-3-662-54345-0_10
https://doi.org/10.1007/978-3-662-54345-0_10
Autor:
Michael Goetz, Keno Maerz, Christian Weber, Nassim Fard, Arianeb Mehrabi, Eric Heim, Tobias Norajitra, Mohammadreza Hafezi, Klaus H. Maier-Hein, Max Knoll, Lena Maier-Hein
Publikováno v:
Medical Imaging: Image Processing
Current fully automatic liver tumor segmentation systems are designed to work on a single CT-image. This hinders these systems from the detection of more complex types of liver tumor. We therefore present a new algorithm for liver tumor segmentation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5b77764156fd8b9f48a068d6668fcdd
https://doi.org/10.1117/12.2217655
https://doi.org/10.1117/12.2217655
Autor:
Lena Maier-Hein, Michael Muller, Kathrin Yen, W. Johnen, Eric Heim, Alfred M. Franz, Markus Fangerau, Thomas Kilgus, Roman Bux
Publikováno v:
Medical Imaging: Image-Guided Procedures
3D Visualization of anatomical data is an integral part of diagnostics and treatment in many medical disciplines, such as radiology, surgery and forensic medicine. To enable intuitive interaction with the data, we recently proposed a new concept for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e6b92002e3de54d03b2a2f33ccb213a
https://doi.org/10.1117/12.2216057
https://doi.org/10.1117/12.2216057