Hasil Pencarian - Michelle Livne

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  1. 1
    A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease

    A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease oleh Michelle Livne, Michelle Livne, Jana Rieger, Orhun Utku Aydin, Abdel Aziz Taha, Ela Marie Akay, Tabea Kossen, Tabea Kossen, Jan Sobesky, Jan Sobesky, John D. Kelleher, Kristian Hildebrand, Dietmar Frey, Vince I. Madai, Vince I. Madai

    Diterbitkan 2019-02-01
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  2. 2
    Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome.

    Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome. oleh Esra Zihni, Vince Istvan Madai, Michelle Livne, Ivana Galinovic, Ahmed A Khalil, Jochen B Fiebach, Dietmar Frey

    Diterbitkan 2020-01-01
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  3. 3
    A precision medicine framework for personalized simulation of hemodynamics in cerebrovascular disease

    A precision medicine framework for personalized simulation of hemodynamics in cerebrovascular disease oleh Dietmar Frey, Michelle Livne, Heiko Leppin, Ela M. Akay, Orhun U. Aydin, Jonas Behland, Jan Sobesky, Peter Vajkoczy, Vince I. Madai

    Diterbitkan 2021-05-01
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  4. 4
    To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems

    To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems oleh Julia Amann, Dennis Vetter, Stig Nikolaj Blomberg, Helle Collatz Christensen, Megan Coffee, Sara Gerke, Thomas K. Gilbert, Thilo Hagendorff, Sune Holm, Michelle Livne, Andy Spezzatti, Inga Strümke, Roberto V. Zicari, Vince Istvan Madai

    Diterbitkan 2022-02-01
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  5. 5
    To explain or not to explain?-Artificial intelligence explainability in clinical decision support systems.

    To explain or not to explain?-Artificial intelligence explainability in clinical decision support systems. oleh Julia Amann, Dennis Vetter, Stig Nikolaj Blomberg, Helle Collatz Christensen, Megan Coffee, Sara Gerke, Thomas K Gilbert, Thilo Hagendorff, Sune Holm, Michelle Livne, Andy Spezzatti, Inga Strümke, Roberto V Zicari, Vince Istvan Madai, Z-Inspection initiative

    Diterbitkan 2022-02-01
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  6. 6
    Anatomical labeling of intracranial arteries with deep learning in patients with cerebrovascular disease

    Anatomical labeling of intracranial arteries with deep learning in patients with cerebrovascular disease oleh Adam Hilbert, Jana Rieger, Vince I. Madai, Vince I. Madai, Vince I. Madai, Ela M. Akay, Orhun U. Aydin, Jonas Behland, Ahmed A. Khalil, Ahmed A. Khalil, Ahmed A. Khalil, Ahmed A. Khalil, Ivana Galinovic, Jan Sobesky, Jan Sobesky, Jochen Fiebach, Michelle Livne, Dietmar Frey

    Diterbitkan 2022-10-01
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  7. 7
    BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease

    BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease oleh Adam Hilbert, Vince I. Madai, Vince I. Madai, Ela M. Akay, Orhun U. Aydin, Jonas Behland, Jan Sobesky, Jan Sobesky, Ivana Galinovic, Ahmed A. Khalil, Ahmed A. Khalil, Ahmed A. Khalil, Ahmed A. Khalil, Abdel A. Taha, Jens Wuerfel, Petr Dusek, Thoralf Niendorf, Jochen B. Fiebach, Dietmar Frey, Michelle Livne

    Diterbitkan 2020-09-01
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  8. 8
    Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study

    Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study oleh Stanislav Nikolov, Sam Blackwell, Alexei Zverovitch, Ruheena Mendes, Michelle Livne, Jeffrey De Fauw, Yojan Patel, Clemens Meyer, Harry Askham, Bernadino Romera-Paredes, Christopher Kelly, Alan Karthikesalingam, Carlton Chu, Dawn Carnell, Cheng Boon, Derek D'Souza, Syed Ali Moinuddin, Bethany Garie, Yasmin McQuinlan, Sarah Ireland, Kiarna Hampton, Krystle Fuller, Hugh Montgomery, Geraint Rees, Mustafa Suleyman, Trevor Back, Cían Owen Hughes, Joseph R Ledsam, Olaf Ronneberger

    Diterbitkan 2021-07-01
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  9. 9
    Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning

    Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning oleh J. John Lucido, Todd A. DeWees, Todd R. Leavitt, Aman Anand, Chris J. Beltran, Mark D. Brooke, Justine R. Buroker, Robert L. Foote, Olivia R. Foss, Angela M. Gleason, Teresa L. Hodge, Cían O. Hughes, Ashley E. Hunzeker, Nadia N. Laack, Tamra K. Lenz, Michelle Livne, Megumi Morigami, Douglas J. Moseley, Lisa M. Undahl, Yojan Patel, Erik J. Tryggestad, Megan Z. Walker, Alexei Zverovitch, Samir H. Patel

    Diterbitkan 2023-04-01
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