Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Michelle Livne"'
Autor:
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
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
IntroductionOrgan-at-risk segmentation for head and neck cancer radiation therapy is a complex and time-consuming process (requiring up to 42 individual structure, and may delay start of treatment or even limit access to function-preserving care. Fea
Externí odkaz:
https://doaj.org/article/b0a186e4d81f46cfb58fca481113cd77
Autor:
Adam Hilbert, Jana Rieger, Vince I. Madai, Ela M. Akay, Orhun U. Aydin, Jonas Behland, Ahmed A. Khalil, Ivana Galinovic, Jan Sobesky, Jochen Fiebach, Michelle Livne, Dietmar Frey
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
Brain arteries are routinely imaged in the clinical setting by various modalities, e.g., time-of-flight magnetic resonance angiography (TOF-MRA). These imaging techniques have great potential for the diagnosis of cerebrovascular disease, disease prog
Externí odkaz:
https://doaj.org/article/5bc78606600141ff9e73c11b2634a260
Autor:
Dietmar Frey, Michelle Livne, Heiko Leppin, Ela M. Akay, Orhun U. Aydin, Jonas Behland, Jan Sobesky, Peter Vajkoczy, Vince I. Madai
Publikováno v:
BioMedical Engineering OnLine, Vol 20, Iss 1, Pp 1-20 (2021)
Abstract Background Cerebrovascular disease, in particular stroke, is a major public health challenge. An important biomarker is cerebral hemodynamics. To measure and quantify cerebral hemodynamics, however, only invasive, potentially harmful or time
Externí odkaz:
https://doaj.org/article/163e00ea777a49248d8805e28bb93575
Autor:
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
Publikováno v:
PLOS Digital Health, Vol 1, Iss 2, p e0000016 (2022)
Explainability for artificial intelligence (AI) in medicine is a hotly debated topic. Our paper presents a review of the key arguments in favor and against explainability for AI-powered Clinical Decision Support System (CDSS) applied to a concrete us
Externí odkaz:
https://doaj.org/article/200acc72635340ffae06d9120b255b4e
Autor:
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
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 7, p e26151 (2021)
BackgroundOver half a million individuals are diagnosed with head and neck cancer each year globally. Radiotherapy is an important curative treatment for this disease, but it requires manual time to delineate radiosensitive organs at risk. This plann
Externí odkaz:
https://doaj.org/article/9f11f2c502c14834af5677c6e22c37ac
Autor:
Adam Hilbert, Vince I. Madai, Ela M. Akay, Orhun U. Aydin, Jonas Behland, Jan Sobesky, Ivana Galinovic, Ahmed A. Khalil, Abdel A. Taha, Jens Wuerfel, Petr Dusek, Thoralf Niendorf, Jochen B. Fiebach, Dietmar Frey, Michelle Livne
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
Introduction: Arterial brain vessel assessment is crucial for the diagnostic process in patients with cerebrovascular disease. Non-invasive neuroimaging techniques, such as time-of-flight (TOF) magnetic resonance angiography (MRA) imaging are applied
Externí odkaz:
https://doaj.org/article/51f574d4264645a19f03afe11fb4813a
Autor:
Esra Zihni, Vince Istvan Madai, Michelle Livne, Ivana Galinovic, Ahmed A Khalil, Jochen B Fiebach, Dietmar Frey
Publikováno v:
PLoS ONE, Vol 15, Iss 4, p e0231166 (2020)
State-of-the-art machine learning (ML) artificial intelligence methods are increasingly leveraged in clinical predictive modeling to provide clinical decision support systems to physicians. Modern ML approaches such as artificial neural networks (ANN
Externí odkaz:
https://doaj.org/article/fc21f756339a4afebad11c6ffc0216e3
Autor:
Michelle Livne, Jana Rieger, Orhun Utku Aydin, Abdel Aziz Taha, Ela Marie Akay, Tabea Kossen, Jan Sobesky, John D. Kelleher, Kristian Hildebrand, Dietmar Frey, Vince I. Madai
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Brain vessel status is a promising biomarker for better prevention and treatment in cerebrovascular disease. However, classic rule-based vessel segmentation algorithms need to be hand-crafted and are insufficiently validated. A specialized deep learn
Externí odkaz:
https://doaj.org/article/e0f5b4f156f545fc8370a495e078e8b1
Autor:
Michelle Livne, Jonas Behland, Peter Vajkoczy, Orhun Utku Aydin, Dietmar Frey, Ela M. Akay, Jan Sobesky, Heiko Leppin, Vince I. Madai
Publikováno v:
BioMedical Engineering OnLine, Vol 20, Iss 1, Pp 1-20 (2021)
BioMedical Engineering
BioMedical Engineering
IntroductionCerebrovascular disease is a major public health challenge. An important biomarker is cerebral hemodynamics. To measure cerebral hemodynamics, however, only invasive, potentially harmful or time-to-treatment prolonging methods are availab
Autor:
Pooja Subramaniam, Tabea Kossen, Kerstin Ritter, Anja Hennemuth, Kristian Hildebrand, Adam Hilbert, Jan Sobesky, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey, Vince I. Madai
Publikováno v:
Medical Image Analysis
Deep learning requires large labeled datasets that are difficult to gather in medical imaging due to data privacy issues and time-consuming manual labeling. Generative Adversarial Networks (GANs) can alleviate these challenges enabling synthesis of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9aa78606b3f9041b0d9513b20562f1d8
https://hdl.handle.net/21.11116/0000-000A-119D-221.11116/0000-000A-119F-0
https://hdl.handle.net/21.11116/0000-000A-119D-221.11116/0000-000A-119F-0