Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Rahil Gholamipoor"'
Autor:
Malte Jacobsen, Rahil Gholamipoor, Till A. Dembek, Pauline Rottmann, Marlo Verket, Julia Brandts, Paul Jäger, Ben-Niklas Baermann, Mustafa Kondakci, Lutz Heinemann, Anna L. Gerke, Nikolaus Marx, Dirk Müller-Wieland, Kathrin Möllenhoff, Melchior Seyfarth, Markus Kollmann, Guido Kobbe
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-9 (2023)
Abstract Serious clinical complications (SCC; CTCAE grade ≥ 3) occur frequently in patients treated for hematological malignancies. Early diagnosis and treatment of SCC are essential to improve outcomes. Here we report a deep learning model-derived
Externí odkaz:
https://doaj.org/article/a34c547877334fbd9c99cb0731a5f2a3
Autor:
Malte Jacobsen, Till A. Dembek, Athanasios-Panagiotis Ziakos, Rahil Gholamipoor, Guido Kobbe, Markus Kollmann, Christopher Blum, Dirk Müller-Wieland, Andreas Napp, Lutz Heinemann, Nikolas Deubner, Nikolaus Marx, Stefan Isenmann, Melchior Seyfarth
Publikováno v:
Sensors, Vol 20, Iss 19, p 5517 (2020)
Atrial fibrillation (AF) is the most common arrhythmia and has a major impact on morbidity and mortality; however, detection of asymptomatic AF is challenging. This study aims to evaluate the sensitivity and specificity of non-invasive AF detection b
Externí odkaz:
https://doaj.org/article/b8c3fe82405c4374ad18a7954f99fd84
Publikováno v:
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).
X-ray images have been widely used for medical diagnoses of cardiothoracic and pulmonary abnormalities due to its noninvasiveness. Advancement in computer-aided diagnostic technologies, such as deep supervised methods, can help radiologists with a re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67542a20b74bc0b38c176ad0ae356359
https://doi.org/10.1109/isbi52829.2022.9761494
https://doi.org/10.1109/isbi52829.2022.9761494
Autor:
Nima Rafiee, Rahil Gholamipoor, Nikolas Adaloglou, Simon Jaxy, Julius Ramakers, Markus Kollmann
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031159367
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b547e7946d7d3a1c1f445317563ced0
https://doi.org/10.1007/978-3-031-15937-4_39
https://doi.org/10.1007/978-3-031-15937-4_39
Autor:
Malte Jacobsen, Pauline Rottmann, Till A. Dembek, Anna L. Gerke, Rahil Gholamipoor, Christopher Blum, Niels-Ulrik Hartmann, Marlo Verket, Jennifer Kaivers, Paul Jäger, Ben-Niklas Baermann, Lutz Heinemann, Nikolaus Marx, Dirk Müller-Wieland, Markus Kollmann, Melchior Seyfarth, Guido Kobbe
Publikováno v:
JCO clinical cancer informatics 6, e2100126 (2022). doi:10.1200/CCI.21.00126
JCO clinical cancer informatics 6, e2100126 (2022). doi:10.1200/CCI.21.00126
Published by American Society of Clinical Oncology, Alexandria, VA
Published by American Society of Clinical Oncology, Alexandria, VA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dd2f4ff3982581489044afb5433e303
Autor:
Milita Darguzyte, Philipp Antczak, Daniel Bachurski, Patrick Hoelker, Nima Abedpour, Rahil Gholamipoorfard, Hans A. Schlößer, Kerstin Wennhold, Martin Thelen, Maria A. Garcia-Marquez, Johannes Koenig, Andreas Schneider, Tobias Braun, Frank Klawonn, Michael Damrat, Masudur Rahman, Jan-Malte Kleid, Sebastian J. Theobald, Eugen Bauer, Constantin von Kaisenberg, Steven R. Talbot, Leonard D. Shultz, Brian Soper, Renata Stripecke
Publikováno v:
Cells, Vol 13, Iss 20, p 1686 (2024)
Background: Humanized mice transplanted with CD34+ hematopoietic cells (HPCs) are broadly used to study human immune responses and infections in vivo and for testing therapies pre-clinically. However, until now, it was not clear whether interactions
Externí odkaz:
https://doaj.org/article/633b76dd515d43d3b3abd9316c52d10a
Autor:
Melchior Seyfarth, Andreas Napp, Guido Kobbe, Rahil Gholamipoor, Athanasios-Panagiotis Ziakos, Christopher Blum, Malte Jacobsen, Nikolaus Marx, Markus Kollmann, Till A. Dembek, Lutz Heinemann, Stefan Isenmann, Nikolas Deubner, Dirk Müller-Wieland
Publikováno v:
Sensors
Volume 20
Issue 19
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 5517, p 5517 (2020)
Volume 20
Issue 19
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 5517, p 5517 (2020)
Atrial fibrillation (AF) is the most common arrhythmia and has a major impact on morbidity and mortality
however, detection of asymptomatic AF is challenging. This study sims to evaluate the sensitivity and specificity of non-invasive AF detecti
however, detection of asymptomatic AF is challenging. This study sims to evaluate the sensitivity and specificity of non-invasive AF detecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28b25c4e690f73fbc10e01726011196b