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2020 – today
- 2022
[c1]Marvin Schmidt, Sebastian Gebauer, Annette Bartholmes, Dennis Kadioglu, Jens Kleesiek, Bernd Hamm, Thomas J. Vogl, Tobias Penzkofer
, Andreas Michael Bucher, Holger Storf:
CODEX Meets RACOON - A Concept for Collaborative Documentation of Clinical and Radiological COVID-19 Data. GMDS 2022: 58-65- 2021
- [j8]Keno K. Bressem, Lisa C. Adams, Robert A. Gaudin, Daniel Tröltzsch, Bernd Hamm, Marcus R. Makowski, Chan-Yong Schüle, Janis Lucas Vahldiek, Stefan Markus Niehues:
Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports. Bioinform. 36(21): 5255-5261 (2021) - [j7]Timo Alexander Auer, Thula Walter-Rittel, Dominik Geisel, Wenzel Schöning, Moritz Schmelzle, Tobias Müller, Bruno Sinn, Timm Denecke, Bernd Hamm, Uli Fehrenbach:
HBP-enhancing hepatocellular adenomas and how to discriminate them from FNH in Gd-EOB MRI. BMC Medical Imaging 21(1): 28 (2021) - [j6]Marta Della Seta, Roman Kloeckner, Daniel Pinto dos Santos, Thula Cannon Walter-Rittel, Felix Hahn, Jörn Henze, Annika Gropp, Johann Pratschke, Bernd Hamm, Dominik Geisel, Timo Alexander Auer:
Pneumatosis intestinalis and porto-mesenteric venous gas: a multicenter study. BMC Medical Imaging 21(1): 129 (2021) - [j5]Gabriel Alexander Salg, Maria-Katharina Ganten, Andreas Michael Bucher, Hannes Götz Kenngott, Matthias A. Fink, Constantin Seibold, Ricarda Fischbach, Kai Schlamp, Carlos Alberto Velandia, Philipp Fervers, Felix Doellinger, Anna Luger, Saif Afat, Uta Merle, Markus K. Diener, Philippe L. Pereira, Tobias Penzkofer, Thorsten Persigehl, Ahmed Othman, Claus Peter Heußel, Matthias Baumhauer, Gerlig Widmann, Konstantinos Stathopoulos, Bernd Hamm, Thomas J. Vogl, Konstantin Nikolaou, Hans-Ulrich Kauczor, Jens Kleesiek:
A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data. npj Digit. Medicine 4 (2021) - [i2]Keno K. Bressem, Stefan Markus Niehues, Bernd Hamm, Marcus R. Makowski, Janis Lucas Vahldiek, Lisa C. Adams:
3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware. CoRR abs/2101.09976 (2021) - 2020
- [i1]Keno K. Bressem, Lisa Adams, Christoph Erxleben, Bernd Hamm, Stefan Markus Niehues, Janis Lucas Vahldiek:
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs. CoRR abs/2002.08991 (2020)
2010 – 2019
- 2018
- [j4]Stefan Markus Niehues, Janis Lucas Vahldiek, Daniel Tröltzsch, Bernd Hamm, Seyd Shnayien:
Impact of Single-Energy Metal Artifact Reduction on CT image quality in patients with dental hardware. Comput. Biol. Medicine 103: 161-166 (2018) - 2011
- [j3]Judith Enders, Elke Zimmermann, Matthias Rief, Peter Martus, Randolf Klingebiel, Patrick Asbach, Christian Klessen, Gerd Diederichs, Thomas Bengner, Ulf Teichgräber, Bernd Hamm, Marc Dewey:
Reduction of claustrophobia during magnetic resonance imaging: methods and design of the "CLAUSTRO" randomized controlled trial. BMC Medical Imaging 11: 4 (2011) - [j2]Jens Christian Rump, Martin Jonczyk, Christian Jürgen Seebauer, Florian Streitparth, Felix Victor Güttler, Ulf Karl-Martin Teichgräber, Bernd Hamm:
Reduced k-space acquisition to accelerate MR imaging of moving interventional instruments: a phantom study. Int. J. Comput. Assist. Radiol. Surg. 6(5): 713-719 (2011) - 2010
- [j1]Patrick A. Hein, Valentina C. Romano, Patrik Rogalla, Christian Klessen, Alexander Lembcke, Lars Bornemann, Volker Dicken, Bernd Hamm, Hans-Christian Bauknecht:
Variability of Semiautomated Lung Nodule Volumetry on Ultralow-Dose CT: Comparison with Nodule Volumetry on Standard-Dose CT. J. Digit. Imaging 23(1): 8-17 (2010)
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