Zobrazeno 1 - 10
of 480
pro vyhledávání: '"Birgit Ertl-Wagner"'
Autor:
Matin Mortazavi, Lisa Ann Gerdes, Öznur Hizarci, Tania Kümpfel, Katja Anslinger, Frank Padberg, Sophia Stöcklein, Daniel Keeser, Birgit Ertl-Wagner
Publikováno v:
NeuroImage: Clinical, Vol 42, Iss , Pp 103597- (2024)
Objective: Intracranial volume (ICV) represents the maximal brain volume for an individual, attained prior to late adolescence and remaining constant throughout life after. Thus, ICV serves as a surrogate marker for brain growth integrity. To assess
Externí odkaz:
https://doaj.org/article/3042a951e10e4091bacaf9235f643d69
Autor:
Birgit Ertl-Wagner, Uri Tabori, Adrian Levine, Trevor Pugh, Anirban Das, Nicholas Fernandez, Vanessa Bianchi, Lucie Stengs, Melissa Edwards, Derek Tsang, Daniel Morgenstern, Cynthia Hawkins, Eric Bouffet
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 11, Iss Suppl 1 (2023)
Externí odkaz:
https://doaj.org/article/7db98a59ce0f46418e82b16b5b87a6a0
Autor:
Isabel Maurus, Lukas Roell, Daniel Keeser, Boris Papazov, Irina Papazova, Moritz Lembeck, Astrid Roeh, Elias Wagner, Dusan Hirjak, Berend Malchow, Birgit Ertl-Wagner, Sophia Stoecklein, Alkomiet Hasan, Andrea Schmitt, Andreas Meyer-Lindenberg, Peter Falkai
Publikováno v:
Translational Psychiatry, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Hippocampal formation (HF) volume loss is a well-established finding in schizophrenia, with select subfields, such as the cornu ammonis and dentate gyrus, being particularly vulnerable. These morphologic alterations are related to functional
Externí odkaz:
https://doaj.org/article/69a5b06e857f4e62b7ad0d7ffafae103
Autor:
Trish Domi, Amanda Robertson, Wayne Lee, Richard F. Wintle, Nicholas Stence, Timothy Bernard, Adam Kirton, Helen Carlson, Andrea Andrade, Mubeen F. Rafay, Bruce Bjornson, Danny Kim, Michael Dowling, Wilmot Bonnett, Michael Rivkin, Pradeep Krishnan, Manohar Shroff, Birgit Ertl-Wagner, Stephen Strother, Steven Arnott, Max Wintermark, Andrea Kassner, Gabrielle deVeber, Nomazulu Dlamini
Publikováno v:
NeuroImage: Clinical, Vol 39, Iss , Pp 103438- (2023)
Childhood stroke occurs from birth to 18 years of age, ranks among the top ten childhood causes of death, and leaves lifelong neurological impairments. Arterial ischemic stroke in infancy and childhood occurs due to arterial occlusion in the brain, r
Externí odkaz:
https://doaj.org/article/454a75e5e15644f4b1e10088ca5a02fe
Autor:
Maximilian Maywald, Oliver Pogarell, Susanne Levai, Marco Paolini, Nadja Tschentscher, Boris Stephan Rauchmann, Daniela Krause, Sophia Stöcklein, Stephan Goerigk, Lukas Röll, Birgit Ertl-Wagner, Boris Papazov, Daniel Keeser, Susanne Karch, Agnieszka Chrobok
Publikováno v:
NeuroImage: Clinical, Vol 37, Iss , Pp 103330- (2023)
Introduction: Persistent postural-perceptual dizziness (PPPD) (ICD-11) and anxiety disorders (ANX) share behavioural symptoms like anxiety, avoidance, social withdrawal, hyperarousal, or palpitation as well as neurological symptoms like vertigo, stan
Externí odkaz:
https://doaj.org/article/f7b7711c02f1476b9df70a46e0535411
Autor:
Martin Dyrba, Moritz Hanzig, Slawek Altenstein, Sebastian Bader, Tommaso Ballarini, Frederic Brosseron, Katharina Buerger, Daniel Cantré, Peter Dechent, Laura Dobisch, Emrah Düzel, Michael Ewers, Klaus Fliessbach, Wenzel Glanz, John-Dylan Haynes, Michael T. Heneka, Daniel Janowitz, Deniz B. Keles, Ingo Kilimann, Christoph Laske, Franziska Maier, Coraline D. Metzger, Matthias H. Munk, Robert Perneczky, Oliver Peters, Lukas Preis, Josef Priller, Boris Rauchmann, Nina Roy, Klaus Scheffler, Anja Schneider, Björn H. Schott, Annika Spottke, Eike J. Spruth, Marc-André Weber, Birgit Ertl-Wagner, Michael Wagner, Jens Wiltfang, Frank Jessen, Stefan J. Teipel, for the ADNI, AIBL, DELCODE study groups
Publikováno v:
Alzheimer’s Research & Therapy, Vol 13, Iss 1, Pp 1-18 (2021)
Abstract Background Although convolutional neural networks (CNNs) achieve high diagnostic accuracy for detecting Alzheimer’s disease (AD) dementia based on magnetic resonance imaging (MRI) scans, they are not yet applied in clinical routine. One im
Externí odkaz:
https://doaj.org/article/4ea07e2a7a2f4319ab977e9fcdcd6e3d
Publikováno v:
Bioengineering, Vol 10, Iss 7, p 783 (2023)
Amniotic Fluid Volume (AFV) is a crucial fetal biomarker when diagnosing specific fetal abnormalities. This study proposes a novel Convolutional Neural Network (CNN) model, AFNet, for segmenting amniotic fluid (AF) to facilitate clinical AFV evaluati
Externí odkaz:
https://doaj.org/article/ff4d905d27d34b91bd64502ee95b211e
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
Fetal MR imaging is subject to artifacts including motion, chemical shift, and radiofrequency artifacts. Currently, such artifacts are detected by the MRI operator, a process which is subjective, time consuming, and prone to errors. We propose a nove
Externí odkaz:
https://doaj.org/article/612dbada873842e0bd4c65995737b8b8
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
Rapid development in Magnetic Resonance Imaging (MRI) has played a key role in prenatal diagnosis over the last few years. Deep learning (DL) architectures can facilitate the process of anomaly detection and affected-organ classification, making diag
Externí odkaz:
https://doaj.org/article/7a66df209f414861973c66091bcba169
Publikováno v:
Bioengineering, Vol 10, Iss 2, p 140 (2023)
Identifying fetal orientation is essential for determining the mode of delivery and for sequence planning in fetal magnetic resonance imaging (MRI). This manuscript describes a deep learning algorithm named Fet-Net, composed of convolutional neural n
Externí odkaz:
https://doaj.org/article/4aa871935c034ffb84445a08bf868baa