Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Christian Strack"'
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background With the rise in importance of personalized medicine and deep learning, we combine the two to create personalized neural networks. The aim of the study is to show a proof of concept that data from just one patient can be used to t
Externí odkaz:
https://doaj.org/article/f8e8988dd87546e1868c549193af147a
Autor:
Georgios Kaissis, Christian Strack, Sebastian Prinz, Jens Kleesiek, Jacob M Murray, Rickmer Braren
Publikováno v:
best practice onkologie. 16:176-185
Maschinelles Lernen (ML) halt gegenwartig Einzug in viele Bereiche der Gesellschaft, so auch in die Medizin. Diese Transformation birgt das Potenzial, den arztlichen Berufsalltag drastisch zu verandern. In der Interaktion zwischen den Disziplinen und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d7329e0f2f25969d59d7d8dacc94f78
https://doi.org/10.1007/s11654-021-00298-9
https://doi.org/10.1007/s11654-021-00298-9
Publikováno v:
Der Radiologe. 60:405-412
Hybridbildgebung ermoglicht es durch die Kombination anatomischer und molekularer Informationen, zellularen Metabolismus ortsgenau darzustellen. Die Fortschritte in der kunstlichen Intelligenz (KI) bieten neue Methoden zur Verarbeitung und Auswertung
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::560b4eca429fdb11ca45f003d294740b
https://doi.org/10.1007/s00117-020-00646-w
https://doi.org/10.1007/s00117-020-00646-w
Autor:
Sebastian Prinz, Jacob M. Murray, Christian Strack, Johanna Nattenmüller, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Stephanie Badde, Jens Kleesiek
Publikováno v:
European Journal of Radiology. 160:110708
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c953e68dcfd12671314e3400d0842f4
https://doi.org/10.1016/j.ejrad.2023.110708
https://doi.org/10.1016/j.ejrad.2023.110708
Publikováno v:
Der Radiologe. 60:24-31
Die Methoden des maschinellen Lernens und der kunstlichen Intelligenz (KI) etablieren sich langsam aber sicher im medizinischen Alltag. Zukunftig werden sie uns bei Diagnose und Therapie unterstutzen und so die Behandlung zum Wohl des Patienten verbe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5aac0ccac814f674c38b3049a6c53f40
https://doi.org/10.1007/s00117-019-00616-x
https://doi.org/10.1007/s00117-019-00616-x
Autor:
Jens, Kleesiek, Jacob M, Murray, Christian, Strack, Sebastian, Prinz, Georgios, Kaissis, Rickmer, Braren
Publikováno v:
Der Pathologe. 41(6)
Machine learning (ML) is entering many areas of society, including medicine. This transformation has the potential to drastically change medicine and medical practice. These aspects become particularly clear when considering the different stages of o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::50374ad9c536708c32a165ab5d51fe4c
https://pubmed.ncbi.nlm.nih.gov/33052431
https://pubmed.ncbi.nlm.nih.gov/33052431
Publikováno v:
Der Radiologe. 60(5)
Hybrid imaging enables the precise visualization of cellular metabolism by combining anatomical and metabolic information. Advances in artificial intelligence (AI) offer new methods for processing and evaluating this data.This review summarizes curre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f699dc954e027f1c84dd02691b290897
https://pubmed.ncbi.nlm.nih.gov/32052114
https://pubmed.ncbi.nlm.nih.gov/32052114
Publikováno v:
Der Radiologe. 60(1)
The methods of machine learning and artificial intelligence are slowly but surely being introduced in everyday medical practice. In the future, they will support us in diagnosis and therapy and thus improve treatment for the benefit of the individual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::c86ddb3a574785c11ced649ee740c0b0
https://pubmed.ncbi.nlm.nih.gov/31811324
https://pubmed.ncbi.nlm.nih.gov/31811324
Autor:
A. Brühl, John A. Schlueter, Christian Strack, Bernd Wolf, Jens Müller, Michael Lang, Dieter Schweitzer, Mariano de Souza
Publikováno v:
Physica C: Superconductivity and its Applications. :129-132
A deuterated crystal of κ -(BEDT-TTF) 2 Cu[N(CN) 2 ]Br has been studied by high-resolution thermal expansion and resistivity measurements. This crystal is found to be situated close to the critical pressure which marks the end point of the first-ord
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15ea6c0020adf782546d078b179d9b90
https://doi.org/10.1016/j.physc.2007.03.167
https://doi.org/10.1016/j.physc.2007.03.167
Autor:
Eckart Uhrig, Bernd Wolf, Cemil Akinci, John A. Schlueter, Christian Strack, Leonore Wiehl, Wolf Assmus, Dieter Schweitzer, J. Wosnitza, Volodymyr Paschenko, Jürgen Schreuer, Michael Lang
Publikováno v:
Comptes Rendus Chimie. 10:96-100
Interlayer-resistivity measurements have been performed on a variety of single crystals of the quasi-two-dimensional organic superconductor κ-(BEDT-TTF)2Cu[N(CN)2]Br. These crystals, which have been synthesized along two somewhat different routes, r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84304bf8800df6ed53ad1dee8274a3f9
https://doi.org/10.1016/j.crci.2006.06.010
https://doi.org/10.1016/j.crci.2006.06.010