Hasil Pencarian - Trygve Eftestøl

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  1. 1
    Advanced life support therapy and on out-of-hospital cardiac arrest patients: Applying signal processing and pattern recognition methods

    Advanced life support therapy and on out-of-hospital cardiac arrest patients: Applying signal processing and pattern recognition methods oleh Trygve Eftestøl, Martin Risdal, Joar Eilevstjønn, Petter A. Steen

    Diterbitkan 2005-10-01
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  2. 2
    The Localization and Characterization of Ischemic Scars in relation to the Infarct Related Coronary Artery Assessed by Cardiac Magnetic Resonance and a Novel Automatic Postprocessing Method

    The Localization and Characterization of Ischemic Scars in relation to the Infarct Related Coronary Artery Assessed by Cardiac Magnetic Resonance and a Novel Automatic Postprocessi... oleh Leik Woie, Kjersti Engan, Trygve Eftestøl, Alf Inge Larsen, Stein Ørn

    Diterbitkan 2015-01-01
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  3. 3
    Extracting physiologic and clinical data from defibrillators for research purposes to improve treatment for patients in cardiac arrest

    Extracting physiologic and clinical data from defibrillators for research purposes to improve treatment for patients in cardiac arrest oleh Trond Nordseth, Trygve Eftestøl, Elisabete Aramendi, Jan Terje Kvaløy, Eirik Skogvoll

    Diterbitkan 2024-06-01
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  4. 4
    Texture-based probability mapping for automatic scar assessment in late gadolinium-enhanced cardiovascular magnetic resonance images

    Texture-based probability mapping for automatic scar assessment in late gadolinium-enhanced cardiovascular magnetic resonance images oleh Vidar Frøysa, Gøran J. Berg, Trygve Eftestøl, Leik Woie, Stein Ørn

    Diterbitkan 2021-01-01
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  5. 5
    Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images

    Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images oleh Ketil Oppedal, Trygve Eftestøl, Kjersti Engan, Mona K. Beyer, Dag Aarsland

    Diterbitkan 2015-01-01
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  6. 6
    NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning

    NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning oleh Saul Fuster, Umay Kiraz, Trygve Eftestøl, Emiel A. M. Janssen, Kjersti Engan

    Diterbitkan 2024-09-01
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  7. 7
    Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks

    Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks oleh Iraia Isasi, Unai Irusta, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik

    Diterbitkan 2020-05-01
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  8. 8
    Automatic Estimation of Coronary Blood Flow Velocity Step 1 for Developing a Tool to Diagnose Patients With Micro-Vascular Angina Pectoris

    Automatic Estimation of Coronary Blood Flow Velocity Step 1 for Developing a Tool to Diagnose Patients With Micro-Vascular Angina Pectoris oleh Mahdieh Khanmohammadi, Kjersti Engan, Charlotte Sæland, Trygve Eftestøl, Alf I. Larsen, Alf I. Larsen

    Diterbitkan 2019-01-01
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  9. 9
    Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning

    Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning oleh Rune Wetteland, Vebjorn Kvikstad, Trygve Eftestol, Erlend Tossebro, Melinda Lillesand, Emiel A. M. Janssen, Kjersti Engan

    Diterbitkan 2021-01-01
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  10. 10
    Fetal heart rate development during labour

    Fetal heart rate development during labour oleh Jarle Urdal, Kjersti Engan, Trygve Eftestøl, Solveig H. Haaland, Benjamin Kamala, Paschal Mdoe, Hussein Kidanto, Hege Ersdal

    Diterbitkan 2021-03-01
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  11. 11
    Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions

    Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions oleh Iraia Isasi, Unai Irusta, Ali Bahrami Rad, Elisabete Aramendi, Morteza Zabihi, Trygve Eftestol, Jo Kramer-Johansen, Lars Wik

    Diterbitkan 2019-01-01
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  12. 12
    A Multiscale Approach for Whole-Slide Image Segmentation of five Tissue Classes in Urothelial Carcinoma Slides

    A Multiscale Approach for Whole-Slide Image Segmentation of five Tissue Classes in Urothelial Carcinoma Slides oleh Rune Wetteland MS, Kjersti Engan PhD, Trygve Eftestøl PhD, Vebjørn Kvikstad MD, Emiel A. M. Janssen PhD

    Diterbitkan 2020-10-01
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  13. 13
    Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators.

    Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators. oleh Carlos Figuera, Unai Irusta, Eduardo Morgado, Elisabete Aramendi, Unai Ayala, Lars Wik, Jo Kramer-Johansen, Trygve Eftestøl, Felipe Alonso-Atienza

    Diterbitkan 2016-01-01
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  14. 14
    Duration of Elevated Heart Rate Is an Important Predictor of Exercise‐Induced Troponin Elevation

    Duration of Elevated Heart Rate Is an Important Predictor of Exercise‐Induced Troponin Elevation oleh Magnus Bjørkavoll‐Bergseth, Øyunn Kleiven, Bjørn Auestad, Trygve Eftestøl, Kay Oskal, Martin Nygård, Øyvind Skadberg, Kristin Moberg Aakre, Tor Melberg, Knut Gjesdal, Stein Ørn

    Diterbitkan 2020-02-01
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  15. 15
    Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia.

    Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia. oleh Artzai Picon, Unai Irusta, Aitor Álvarez-Gila, Elisabete Aramendi, Felipe Alonso-Atienza, Carlos Figuera, Unai Ayala, Estibaliz Garrote, Lars Wik, Jo Kramer-Johansen, Trygve Eftestøl

    Diterbitkan 2019-01-01
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