Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Nico Weber"'
Publikováno v:
IEEE Access, Vol 10, Pp 6260-6285 (2022)
To successfully launch automated vehicles into the consumer market, there must be credible proof that the vehicles will operate safely. However, finding a method to validate the vehicles’ safe operation is a challenging problem. While scenario-base
Externí odkaz:
https://doaj.org/article/a20698c1539148f9bbb31d12b7fd356b
Autor:
Thomas Hentrich, André Koch, Nico Weber, Alexander Kilzheimer, Ana Maia, Simone Burkhardt, Katharina Rall, Nicolas Casadei, Oliver Kohlbacher, Olaf Riess, Julia Maria Schulze-Hentrich, Sara Yvonne Brucker
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 8 (2020)
The Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome (OMIM 277000) is characterized by agenesis of the uterus and upper part of the vagina in females with normal ovarian function. While genetic causes have been identified for a small subset of patient
Externí odkaz:
https://doaj.org/article/d0ce1aba93694d509b8213dc8c230354
Autor:
Sören Bartels, Nico Weber
Publikováno v:
Mathematical Control and Related Fields. 13:35-62
In this paper, we focus on learning optimal parameters for PDE-based image denoising and decomposition models. First, we learn the regularization parameter and the differential operator for gray-scale image denoising using the fractional Laplacian in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42d98b9f4a2791a366ce8e83e6e20d59
https://doi.org/10.3934/mcrf.2021048
https://doi.org/10.3934/mcrf.2021048
Publikováno v:
ATZ - Automobiltechnische Zeitschrift. 123:52-57
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7ab84552efb80bcdcbc21d1e90c5d9c
https://doi.org/10.1007/s35148-021-0748-5
https://doi.org/10.1007/s35148-021-0748-5
Autor:
Schulze-Hentrich, Rebecca Buchert, Elisabeth Schenk, Thomas Hentrich, Nico Weber, Katharina Rall, Marc Sturm, Oliver Kohlbacher, André Koch, Olaf Riess, Sara Y. Brucker, Julia M.
Publikováno v:
Journal of Clinical Medicine; Volume 11; Issue 19; Pages: 5598
To identify potential genetic causes for Mayer-Rokitansky-Küster-Hauser syndrome (MRKH), we analyzed blood and rudimentary uterine tissue of 5 MRKH discordant monozygotic twin pairs. Assuming that a variant solely identified in the affected twin or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::9cdb3ce33cf87d6232415e178d451e9c
Autor:
Rebecca Buchert, Elisabeth Schenk, Thomas Hentrich, Nico Weber, Katharina Rall, Marc Sturm, Oliver Kohlbacher, André Koch, Olaf Rieß, Sara Y. Brucker, Julia M. Schulze-Hentrich
Publikováno v:
Journal of clinical medicine. 11(19)
ObjectiveMayer-Rokitansky-Küster-Hauser syndrome (MRKH) is a rare congenital disease manifesting with aplasia or severe hypoplasia of uterine structures. Even though extensive studies have been performed, for the majority of cases the etiology remai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d851d0248b529395d32fb7d36521e740
https://pubmed.ncbi.nlm.nih.gov/36233463
https://pubmed.ncbi.nlm.nih.gov/36233463
Autor:
Patrick Aichroth, Christoph Antes, Pierre Gembatzka, Holger Graf, David S. Johnson, Matthias Jung, Thomas Kämpfe, Thomas Kleinberger, Thomas Köllmer, Thomas Kuhn, Christoph Kutter, Jens Krüger, Dominik M. Loroch, Hanna Lukashevich, Nellie Laleni, Lei Zhang, Johannes Leugering, Rodrigo Martín Fernández, Loreto Mateu, Shaown Mojumder, Benjamin Prautsch, Ferdinand Pscheidl, Karsten Roscher, Sören Schneickert, Frank Vanselow, Paul Wallbott, Oliver Walter, Nico Weber
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031045790
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73f0dde325458fd4b33f14070bd342dc
https://doi.org/10.1007/978-3-031-04580-6_29
https://doi.org/10.1007/978-3-031-04580-6_29
Publikováno v:
IEEE Access, Vol 10, Pp 6260-6285 (2022)
To successfully launch automated vehicles into the consumer market, there must be credible proof that the vehicles will operate safely. However, finding a method to validate the vehicles' safe operation is a challenging problem. While scenario-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11cf03c685dbae3d77f55d667c353b0b
Publikováno v:
FPL
Deep Neural Networks (DNNs) are capable of solving complex problems in domains related to embedded systems, such as image and natural language processing. To efficiently implement DNNs on a specific FPGA platform for a given cost criterion, e.g. ener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::619a82955b40104f00221af87df51b43
The technical development of highly automated driving functions (SAE level ≥ 3) has progressed so far that a market launch is anticipated in the short to medium term. The biggest challenge for a fleet approval is the validation and safety proof. Ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86a694b63297bd78391065a7681fb037