Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Johannes Haubold"'
Autor:
Ralf Floca, Jonas Bohn, Christian Haux, Benedikt Wiestler, Frank G. Zöllner, Annika Reinke, Jakob Weiß, Marco Nolden, Steffen Albert, Thorsten Persigehl, Tobias Norajitra, Bettina Baeßler, Marc Dewey, Rickmer Braren, Martin Büchert, Eva Maria Fallenberg, Norbert Galldiks, Annika Gerken, Michael Götz, Horst K. Hahn, Johannes Haubold, Tobias Haueise, Nils Große Hokamp, Michael Ingrisch, Andra-Iza Iuga, Marco Janoschke, Matthias Jung, Lena Sophie Kiefer, Philipp Lohmann, Jürgen Machann, Jan Hendrik Moltz, Johanna Nattenmüller, Tobias Nonnenmacher, Benedict Oerther, Ahmed E. Othman, Felix Peisen, Fritz Schick, Lale Umutlu, Barbara D. Wichtmann, Wenzhao Zhao, Svenja Caspers, Heinz-Peter Schlemmer, Christopher L. Schlett, Klaus Maier-Hein, Fabian Bamberg
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Objectives Achieving a consensus on a definition for different aspects of radiomics workflows to support their translation into clinical usage. Furthermore, to assess the perspective of experts on important challenges for a successful clinic
Externí odkaz:
https://doaj.org/article/6a8906e841ea488ea5abe79eaf2c5fc3
Assessment of image quality and impact of deep learning-based software in non-contrast head CT scans
Autor:
Denise Bos, Aydin Demircioğlu, Julia Neuhoff, Johannes Haubold, Sebastian Zensen, Marcel K. Opitz, Marcel A. Drews, Yan Li, Hanna Styczen, Michael Forsting, Kai Nassenstein
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract In this retrospective study, we aimed to assess the objective and subjective image quality of different reconstruction techniques and a deep learning-based software on non-contrast head computed tomography (CT) images. In total, 152 adult he
Externí odkaz:
https://doaj.org/article/ee83d3ee26bf46f1bbc8d5fe19deb44e
Autor:
Sven Koitka, Giulia Baldini, Lennard Kroll, Natalie van Landeghem, Olivia B. Pollok, Johannes Haubold, Obioma Pelka, Moon Kim, Jens Kleesiek, Felix Nensa, René Hosch
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-10 (2024)
Abstract The Sparsely Annotated Region and Organ Segmentation (SAROS) dataset was created using data from The Cancer Imaging Archive (TCIA) to provide a large open-access CT dataset with high-quality annotations of body landmarks. In-house segmentati
Externí odkaz:
https://doaj.org/article/ad60a52684864fe9b70bb7ded3057d72
Autor:
Dirk Westhölter, Johannes Haubold, Matthias Welsner, Luca Salhöfer, Johannes Wienker, Sivagurunathan Sutharsan, Svenja Straßburg, Christian Taube, Lale Umutlu, Benedikt M. Schaarschmidt, Sven Koitka, Sebastian Zensen, Michael Forsting, Felix Nensa, René Hosch, Marcel Opitz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract A poor nutritional status is associated with worse pulmonary function and survival in people with cystic fibrosis (pwCF). CF transmembrane conductance regulator modulators can improve pulmonary function and body weight, but more data is need
Externí odkaz:
https://doaj.org/article/f083b010ca674e2bb98c97dac99faa1a
Autor:
Johannes Wienker, Kaid Darwiche, Nele Rüsche, Erik Büscher, Rüdiger Karpf-Wissel, Jane Winantea, Filiz Özkan, Dirk Westhölter, Christian Taube, David Kersting, Hubertus Hautzel, Luca Salhöfer, René Hosch, Felix Nensa, Michael Forsting, Benedikt M. Schaarschmidt, Sebastian Zensen, Jens Theysohn, Lale Umutlu, Johannes Haubold, Marcel Opitz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Chronic Obstructive Pulmonary Disease (COPD) is characterized by progressive and irreversible airflow limitation, with individual body composition influencing disease severity. Severe emphysema worsens symptoms through hyperinflation, which
Externí odkaz:
https://doaj.org/article/f618991bf2f9403ca680a549299e1f20
Autor:
Luca Salhöfer, Johannes Haubold, Maurice Gutt, René Hosch, Lale Umutlu, Mathias Meetschen, Maximilian Schuessler, Michael Forsting, Felix Nensa, Benedikt Michael Schaarschmidt
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract A novel software, DiffTool, was developed in-house to keep track of changes made by board-certified radiologists to preliminary reports created by residents and evaluate its impact on radiological hands-on training. Before (t0) and after (t2
Externí odkaz:
https://doaj.org/article/61ef5624b4a04c56bf67a9cabe1a4edc
Autor:
Marc Fischer, Thomas Küstner, Sofia Pappa, Thoralf Niendorf, Tobias Pischon, Thomas Kröncke, Stefanie Bette, Sara Schramm, Börge Schmidt, Johannes Haubold, Felix Nensa, Tobias Nonnenmacher, Viktoria Palm, Fabian Bamberg, Lena Kiefer, Fritz Schick, Bin Yang
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-23 (2023)
Abstract In this work, we propose a processing pipeline for the extraction and identification of meaningful radiomics biomarkers in skeletal muscle tissue as displayed using Dixon-weighted MRI. Diverse and robust radiomics features can be identified
Externí odkaz:
https://doaj.org/article/c7c6f4f94fac48bb89850b84c6e67e0e
Autor:
Mathias Meetschen, Luca Salhöfer, Nikolas Beck, Lennard Kroll, Christoph David Ziegenfuß, Benedikt Michael Schaarschmidt, Michael Forsting, Shamoun Mizan, Lale Umutlu, René Hosch, Felix Nensa, Johannes Haubold
Publikováno v:
Diagnostics, Vol 14, Iss 6, p 596 (2024)
Background: This study aimed to evaluate the impact of an AI-assisted fracture detection program on radiology residents’ performance in pediatric and adult trauma patients and assess its implications for residency training. Methods: This study, con
Externí odkaz:
https://doaj.org/article/ae833b09580d4b6ebc20a51351d288b0
Autor:
Marcel A. Drews, Aydin Demircioğlu, Julia Neuhoff, Johannes Haubold, Sebastian Zensen, Marcel K. Opitz, Michael Forsting, Kai Nassenstein, Denise Bos
Publikováno v:
Diagnostics, Vol 14, Iss 6, p 612 (2024)
Non-contrast computed tomography (CT) is commonly used for the evaluation of various pathologies including pulmonary infections or urolithiasis but, especially in low-dose protocols, image quality is reduced. To improve this, deep learning-based post
Externí odkaz:
https://doaj.org/article/aa9e5e70d132434aa23ad0e59f113beb
Autor:
Johannes Haubold, Sebastian Zensen, René Hosch, Benedikt Michael Schaarschmidt, Denise Bos, Bernhardt Schmidt, Thomas Flohr, Yan Li, Michael Forsting, Hubertus Pietsch, Felix Nensa, Gregor Jost
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-12 (2023)
Abstract Background We investigated about optimization of contrast media (CM) dose or radiation dose in thoracoabdominal computed tomography angiography (CTA) by automated tube voltage selection (ATVS) system configuration and CM protocol adaption. M
Externí odkaz:
https://doaj.org/article/9c0fb745af344ba3b314fb31443b6961