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  1. Book ; Online ; E-Book: Multislice CT

    Nikolaou, Konstantin / Bamberg, Fabian / Laghi, Andrea / Rubin, Geoffrey D.

    (Medical radiology)

    2019  

    Author's details Konstantin Nikolaou, Fabian Bamberg, Andrea Laghi, Geoffrey D. Rubin editors
    Series title Medical radiology
    Keywords Radiology, Medical ; Cardiology ; Oncology
    Subject code 616.0757
    Language English
    Size 1 Online-Ressource (x, 1141 Seiten), Illustrationen, Diagramme
    Edition Fourth edition
    Publisher Springer
    Publishing place Cham
    Publishing country Switzerland
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020187535
    ISBN 978-3-319-42586-3 ; 9783319425856 ; 3-319-42586-2 ; 3319425854
    DOI 10.1007/978-3-319-42586-3
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book: Radiologische Differenzialdiagnostik Herz und große Gefäße

    Nikolaou, Konstantin / Kramer, Ulrich / Alkadhi, Hatem / Kreitner, Karl-Friedrich

    2019  

    Author's details herausgegeben von Konstantin Nikolaou, Ulrich Kramer, Hatem Alkadhi, Karl-Friedrich Kreitner ; unter Mitarbeit von Hatem Alkadhi [und vielen weiteren] ; mit einem Geleitwort von Claus Claussen, Maximilian Reiser und Manfred Thelen
    Keywords Kardiovaskuläre Krankheit ; Herzfunktionsdiagnostik ; Differentialdiagnose ; Bildgebendes Verfahren
    Subject Bildgebendes Diagnoseverfahren ; Diagnostik ; Bilddiagnostik ; Bildgebende Methode ; Medical Imaging ; Medizinische Bildgebung ; Bildgebende Diagnostik ; Bildgebende Verfahren ; Imaging ; Differentialdiagnostik ; Differenzialdiagnostik ; Differenzialdiagnose ;RR ; Herzfunktionsprüfung ; Hämodynamische Funktionsprüfung ; Herz-Kreislauf-Krankheit ; Herz-Kreislauf-Erkrankung ; Kardiovaskuläres System ; Cardiovasculäre Krankheit ; Kardiovaskuläre Krankheiten
    Language German
    Size 672 Seiten, Illustrationen
    Publisher Georg Thieme Verlag
    Publishing place Stuttgart
    Publishing country Germany
    Document type Book
    Accompanying material Zugang zu Online-Plattform eRef über Code
    HBZ-ID HT019874448
    ISBN 978-3-13-205151-5 ; 3-13-205151-9 ; 9783132051614 ; 9783132051713 ; 3132051616 ; 3132051713
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2019 C 1 order for loan Magazin
    Zugang zu zusätzlichem Internetmaterial über Code aus lizenzrechtlichen Gründen nicht verfügbar

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  3. Article ; Online: Technological Advances of Magnetic Resonance Imaging in Today's Healthcare Environment.

    Nikolaou, Konstantin

    Investigative radiology

    2020  Volume 55, Issue 9, Page(s) 543–544

    Abstract: Are we reacting adequately to a constantly changing clinical and scientific environment, regarding our patients, the economy, or new technologies, such as artificial intelligence? The authors of this review article have identified 3 major challenges ... ...

    Abstract Are we reacting adequately to a constantly changing clinical and scientific environment, regarding our patients, the economy, or new technologies, such as artificial intelligence? The authors of this review article have identified 3 major challenges regarding the use of magnetic resonance imaging (MRI) in our clinical practice today and tomorrow: (1) the need for faster acquisitions, optimized workflows, and higher patient throughput, making MRI broadly available and applicable, also under the light of rising economic pressure; (2) adaptation to the demographic change, tailoring protocols, and procedures to the needs of an aging and multimorbid patient population; and (3) providing quantifiable data, reproducible imaging biomarkers, and integrated artificial intelligence algorithms, to make MRI an integral part of modern precision medicine. The authors conclude that with constant advances in MR technology, workflow and scanning efficiency can be optimized, while providing consistent, high-quality personalized examination results at the same time.
    MeSH term(s) Algorithms ; Artificial Intelligence ; Delivery of Health Care ; Humans ; Magnetic Resonance Imaging ; Technology
    Language English
    Publishing date 2020-05-04
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 80345-5
    ISSN 1536-0210 ; 0020-9996
    ISSN (online) 1536-0210
    ISSN 0020-9996
    DOI 10.1097/RLI.0000000000000683
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 734: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: Cardiac imaging procedures and the COVID-19 pandemic

    Nikolaou, Konstantin

    recommendations of the European Society of Cardiovascular Radiology (ESCR)

    2020  

    Keywords 610 ; covid19
    Language English
    Publisher Springer
    Publishing country de
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Book ; Thesis: Die nichtinvasive Bildgebung der Koronararterien durch Magnetresonanztomographie und Elektronenstrahltomographie und ihre diagnostische Aussagekraft im Vergleich zur selektiven Koronarangiographie

    Nikolaou, Konstantin

    2000  

    Author's details vorgelegt von Konstantin Nikolaou
    Language German
    Size 117 S., Ill., graph. Darst., 21 cm
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis München, Univ., Diss., 2000
    HBZ-ID HT013119160
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2001 D 2016 order for loan Magazin

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  6. Article ; Online: Differentiation of Hamartomas and Malignant Lung Tumors in Single-Phased Dual-Energy Computed Tomography.

    Winkelmann, Moritz T / Gassenmaier, Sebastian / Walter, Sven S / Artzner, Christoph / Nikolaou, Konstantin / Bongers, Malte N

    Tomography (Ann Arbor, Mich.)

    2024  Volume 10, Issue 2, Page(s) 255–265

    Abstract: This study investigated the efficacy of single-phase dual-energy CT (DECT) in differentiating pulmonary hamartomas from malignant lung lesions using virtual non-contrast (VNC), iodine, and fat quantification. Forty-six patients with 47 pulmonary lesions ( ...

    Abstract This study investigated the efficacy of single-phase dual-energy CT (DECT) in differentiating pulmonary hamartomas from malignant lung lesions using virtual non-contrast (VNC), iodine, and fat quantification. Forty-six patients with 47 pulmonary lesions (mean age: 65.2 ± 12.1 years; hamartomas-to-malignant lesions = 22:25; male: 67%) underwent portal venous DECT using histology, PET-CT and follow-up CTs as a reference. Quantitative parameters such as VNC, fat fraction, iodine density and CT mixed values were statistically analyzed. Significant differences were found in fat fractions (hamartomas: 48.9%; malignancies: 22.9%;
    MeSH term(s) Humans ; Male ; Middle Aged ; Aged ; Positron Emission Tomography Computed Tomography ; Sensitivity and Specificity ; Tomography, X-Ray Computed/methods ; Lung Neoplasms/diagnostic imaging ; Hamartoma/diagnostic imaging ; Iodine
    Chemical Substances Iodine (9679TC07X4)
    Language English
    Publishing date 2024-02-11
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2379-139X
    ISSN (online) 2379-139X
    DOI 10.3390/tomography10020020
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book ; Online: Towards a Phenomenological Understanding of Neural Networks

    Tovey, Samuel / Krippendorf, Sven / Nikolaou, Konstantin / Holm, Christian

    Data

    2023  

    Abstract: A theory of neural networks (NNs) built upon collective variables would provide scientists with the tools to better understand the learning process at every stage. In this work, we introduce two such variables, the entropy and the trace of the empirical ... ...

    Abstract A theory of neural networks (NNs) built upon collective variables would provide scientists with the tools to better understand the learning process at every stage. In this work, we introduce two such variables, the entropy and the trace of the empirical neural tangent kernel (NTK) built on the training data passed to the model. We empirically analyze the NN performance in the context of these variables and find that there exists correlation between the starting entropy, the trace of the NTK, and the generalization of the model computed after training is complete. This framework is then applied to the problem of optimal data selection for the training of NNs. To this end, random network distillation (RND) is used as a means of selecting training data which is then compared with random selection of data. It is shown that not only does RND select data-sets capable of outperforming random selection, but that the collective variables associated with the RND data-sets are larger than those of the randomly selected sets. The results of this investigation provide a stable ground from which the selection of data for NN training can be driven by this phenomenological framework.

    Comment: 13 pages, 7 figures
    Keywords Computer Science - Machine Learning ; Physics - Computational Physics
    Publishing date 2023-05-01
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  8. Book ; Online ; Thesis: Strukturierte Befundung der multiparametrischen Magnetresonanztomographie der Prostata unter Anwendung Künstlicher Intelligenz

    Reiß, Sebastian [Verfasser] / Nikolaou, Konstantin [Akademischer Betreuer]

    2023  

    Author's details Sebastian Reiß ; Betreuer: Konstantin Nikolaou
    Keywords Medizin, Gesundheit ; Medicine, Health
    Subject code sg610
    Language German
    Publisher Universitätsbibliothek Tübingen
    Publishing place Tübingen
    Document type Book ; Online ; Thesis
    Database Digital theses on the web

    Full text online

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  9. Article: Moderne Bildgebung liefert präzise Informationen über den Körper. Nun kommt es darauf an, Daten richtig lesen zu lernen, sagt Prof. Dr. Konstantin Nikolaou im Interview

    Nikolaou, Konstantin

    F & W : Fokus

    2017  Volume -, Issue Okt, Page(s) 10

    Language German
    Document type Article
    ZDB-ID 2882834-3
    Database Current Contents Medicine

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    Zs.A 1949 -Fokus-: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
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  10. Article: Precision Medicine and Adaptive Technologies in Medical Imaging

    Nikolaou, Konstantin

    Magnetom flash

    2017  Volume -, Issue 2 = Nr. 68 ISMRM Ed., Page(s) 2

    Language English
    Document type Article
    ZDB-ID 2465783-9
    Database Current Contents Medicine

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6925: Show issues Location:
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