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  1. Book: MDCT

    Kalra, Mannudeep K.

    from protocols to practice

    2008  

    Author's details M. K. Kalra ... (ed.)
    Keywords Tomography, X-Ray Computed ; Mehrzeilendetektorcomputertomographie
    Subject Multi-Detektor-Computertomographie ; Mehrzeilendetektor-Computertomografie ; Mehrzeilendetektortomographie ; MDCT ; MD-CT
    Subject code 616.075722
    Language English
    Size XI, 411 S. : zahlr. Ill., 27 cm
    Edition updated ed.
    Publisher Springer
    Publishing place Milan u.a.
    Publishing country Italy
    Document type Book
    Note Literaturangaben
    Old title MDCT : a practical approach
    HBZ-ID HT015735402
    ISBN 978-88-470-0831-1 ; 9788847008328 ; 88-470-0831-X ; 8847008328
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2009 A 1858 order for loan Magazin

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  2. Article ; Online: Quantitative Chest CT in COPD: Can Deep Learning Enable the Transition?

    Kalra, Mannudeep K / Ebrahimian, Shadi

    Radiology. Cardiothoracic imaging

    2021  Volume 3, Issue 2, Page(s) e210044

    Language English
    Publishing date 2021-04-08
    Publishing country United States
    Document type Journal Article ; Comment
    ISSN 2638-6135
    ISSN (online) 2638-6135
    DOI 10.1148/ryct.2021210044
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Reply to "Quality Control of Radiomics Study to Differentiate Benign and Malignant Hepatic Lesions".

    Homayounieh, Fatemeh / Kalra, Mannudeep K

    AJR. American journal of roentgenology

    2021  Volume 216, Issue 3, Page(s) W13

    MeSH term(s) Diagnosis, Differential ; Humans ; Pilot Projects ; Quality Control ; ROC Curve ; Tomography, X-Ray Computed
    Language English
    Publishing date 2021-02-22
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 82076-3
    ISSN 1546-3141 ; 0361-803X ; 0092-5381
    ISSN (online) 1546-3141
    ISSN 0361-803X ; 0092-5381
    DOI 10.2214/AJR.20.24741
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ue I Zs.57: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  4. Book ; Online: MDCT

    Kalra, Mannudeep K. / Saini, Sanjay / Rubin, Geoffrey D.

    From Protocols to Practice

    2008  

    Author's details edited by Mannudeep K. Kalra, Sanjay Saini, Geoffrey D. Rubin
    Keywords Interventional radiology ; Medicine ; Radiology, Medical
    Language English
    Publisher Springer-Verlag Milan
    Publishing place Milano
    Document type Book ; Online
    HBZ-ID HT018392200
    ISBN 978-88-470-0831-1 ; 978-88-470-0832-8 ; 88-470-0831-X ; 88-470-0832-8
    DOI 10.1007/978-88-470-0832-8
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Book ; Online: Imaging in Oncology

    Blake, Michael A. / Kalra, Mannudeep K.

    2008  

    Author's details edited by Michael A. Blake, Mannudeep K. Kalra
    Keywords Oncology ; Radiology, Medical
    Language English
    Publisher Springer Science+Business Media, LLC
    Publishing place Boston, MA
    Document type Book ; Online
    HBZ-ID TT050386976
    ISBN 978-0-387-75586-1 ; 978-0-387-75587-8 ; 0-387-75586-1 ; 0-387-75587-X
    DOI 10.1007/978-0-387-75587-8
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  6. Article ; Online: Low-Dose CT for Lung Cancer Screening.

    Kalra, Mannudeep K

    Journal of the American College of Radiology : JACR

    2017  Volume 14, Issue 5, Page(s) 719–720

    Language English
    Publishing date 2017
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2274861-1
    ISSN 1558-349X ; 1546-1440
    ISSN (online) 1558-349X
    ISSN 1546-1440
    DOI 10.1016/j.jacr.2017.01.052
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6636: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: Potentials of the Potential: The "Lower, Slower, and Brighter" Mantra.

    Kalra, Mannudeep K

    Journal of the American College of Radiology : JACR

    2018  Volume 15, Issue 7, Page(s) 998–999

    MeSH term(s) Contrast Media ; Humans ; Radiation Dosage ; Radiation Protection/methods ; Tomography Scanners, X-Ray Computed ; Tomography, X-Ray Computed/methods
    Chemical Substances Contrast Media
    Language English
    Publishing date 2018-04-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2274861-1
    ISSN 1558-349X ; 1546-1440
    ISSN (online) 1558-349X
    ISSN 1546-1440
    DOI 10.1016/j.jacr.2018.02.027
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6636: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  8. Article ; Online: Five-star rating system for acceptable quality and dose in CT.

    Kalra, Mannudeep K / Rehani, Madan M

    European radiology

    2021  Volume 31, Issue 12, Page(s) 9161–9163

    Abstract: Key points: • Recent papers have shown examples of the methodology involved in integrating image quality with radiation dose and assessing acceptable quality dose (AQD).• As a further step in that direction, translating a 5-point score into a 5-star ... ...

    Abstract Key points: • Recent papers have shown examples of the methodology involved in integrating image quality with radiation dose and assessing acceptable quality dose (AQD).• As a further step in that direction, translating a 5-point score into a 5-star rating shall be helpful for wider and uniform application and shall be in line with the popular use of the 5-star rating.
    MeSH term(s) Humans ; Radiation Dosage ; Tomography, X-Ray Computed
    Language English
    Publishing date 2021-06-11
    Publishing country Germany
    Document type Editorial
    ZDB-ID 1085366-2
    ISSN 1432-1084 ; 0938-7994 ; 1613-3749
    ISSN (online) 1432-1084
    ISSN 0938-7994 ; 1613-3749
    DOI 10.1007/s00330-021-08112-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3300: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  9. Book: Radiation dose from multidetector CT

    Tack, Denis / Kalra, Mannudeep K. / Gevenois, Pierre Alain

    (Medical radiology : Diagnostic imaging)

    2012  

    Series title Medical radiology : Diagnostic imaging
    Keywords Computertomografie ; Strahlendosis ; Strahlenbelastung ; Reduktion
    Subject Verminderung ; Senkung ; Reduzierung ; Verringerung ; Schmälerung ; Abbau ; Strahlenexposition ; Verstrahlung ; Dosis ; Computertomographie ; CT ; Tomometrie ; Durchstrahlungscomputertomographie ; Durchstrahlungscomputertomografie ; Transmissionscomputertomographie ; Transmissionscomputertomografie ; Computerlaminographie ; Computerlaminografie ; CAT ; Computed axial tomography ; Computertomogramm
    Language English
    Size XVIII, 649 S. : zahlr. Ill., graph. Darst., 260 mm x 193 mm
    Edition 2. ed.
    Publisher Springer
    Publishing place Heidelberg u.a.
    Publishing country Germany
    Document type Book
    Old title 1. Aufl. u.d.T. Radiation dose from adult and pediatric multidetector computed tomography
    HBZ-ID HT017294776
    ISBN 978-3-642-24534-3 ; 3-642-24534-X ; 9783642245350 ; 3642245358
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2012 A 2727 order for loan Magazin

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  10. Article ; Online: Revisiting the Trustworthiness of Saliency Methods in Radiology AI.

    Zhang, Jiajin / Chao, Hanqing / Dasegowda, Giridhar / Wang, Ge / Kalra, Mannudeep K / Yan, Pingkun

    Radiology. Artificial intelligence

    2024  Volume 6, Issue 1, Page(s) e220221

    Abstract: Purpose To determine whether saliency maps in radiology artificial intelligence (AI) are vulnerable to subtle perturbations of the input, which could lead to misleading interpretations, using prediction-saliency correlation (PSC) for evaluating the ... ...

    Abstract Purpose To determine whether saliency maps in radiology artificial intelligence (AI) are vulnerable to subtle perturbations of the input, which could lead to misleading interpretations, using prediction-saliency correlation (PSC) for evaluating the sensitivity and robustness of saliency methods. Materials and Methods In this retrospective study, locally trained deep learning models and a research prototype provided by a commercial vendor were systematically evaluated on 191 229 chest radiographs from the CheXpert dataset and 7022 MR images from a human brain tumor classification dataset. Two radiologists performed a reader study on 270 chest radiograph pairs. A model-agnostic approach for computing the PSC coefficient was used to evaluate the sensitivity and robustness of seven commonly used saliency methods. Results The saliency methods had low sensitivity (maximum PSC, 0.25; 95% CI: 0.12, 0.38) and weak robustness (maximum PSC, 0.12; 95% CI: 0.0, 0.25) on the CheXpert dataset, as demonstrated by leveraging locally trained model parameters. Further evaluation showed that the saliency maps generated from a commercial prototype could be irrelevant to the model output, without knowledge of the model specifics (area under the receiver operating characteristic curve decreased by 8.6% without affecting the saliency map). The human observer studies confirmed that it is difficult for experts to identify the perturbed images; the experts had less than 44.8% correctness. Conclusion Popular saliency methods scored low PSC values on the two datasets of perturbed chest radiographs, indicating weak sensitivity and robustness. The proposed PSC metric provides a valuable quantification tool for validating the trustworthiness of medical AI explainability.
    MeSH term(s) Humans ; Artificial Intelligence ; Retrospective Studies ; Radiology ; Radiography ; Radiologists
    Language English
    Publishing date 2024-01-02
    Publishing country United States
    Document type Journal Article
    ISSN 2638-6100
    ISSN (online) 2638-6100
    DOI 10.1148/ryai.220221
    Database MEDical Literature Analysis and Retrieval System OnLINE

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