Variability of Semiautomated Lung Nodule Volumetry on Ultralow-Dose CT: Comparison with Nodule Volumetry on Standard-Dose CT. - Patrick A. Hein; Valentina C. Romano; Patrik Rogalla; Christian Klessen; Alexander Lembcke; Lars Bornemann; Volker Dicken; Bernd Hamm; Hans-Christian Bauknecht (J. Digit. Imaging, 2010)

Reduction of claustrophobia during magnetic resonance imaging: methods and design of the "CLAUSTRO" randomized controlled trial. - Judith Enders; Elke Zimmermann; Matthias Rief; Peter Martus; Randolf Klingebiel; Patrick Asbach; Christian Klessen; Gerd Diederichs; Thomas Bengner; Ulf Teichgräber; Bernd Hamm; Marc Dewey (BMC Medical Imaging, 2011)

Reduced k-space acquisition to accelerate MR imaging of moving interventional instruments: a phantom study. - Jens Christian Rump; Martin Jonczyk; Christian Jürgen Seebauer; Florian Streitparth; Felix Victor Güttler; Ulf Karl-Martin Teichgräber; Bernd Hamm (Int. J. Comput. Assist. Radiol. Surg., 2011)

Impact of Single-Energy Metal Artifact Reduction on CT image quality in patients with dental hardware. - Stefan Markus Niehues; Janis Lucas Vahldiek; Daniel Tröltzsch; Bernd Hamm; Seyd Shnayien (Comput. Biol. Medicine, 2018)

Comparing Different Deep Learning Architectures for Classification of Chest Radiographs. - Keno K. Bressem; Lisa Adams; Christoph Erxleben; Bernd Hamm; Stefan Markus Niehues; Janis Lucas Vahldiek (CoRR, 2020)

Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports. - 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 (Bioinform., 2021)

HBP-enhancing hepatocellular adenomas and how to discriminate them from FNH in Gd-EOB MRI. - Timo Alexander Auer; Thula Cannon Walter-Rittel; Dominik Geisel; Wenzel Schöning; Moritz Schmelzle; Tobias Müller; Bruno Sinn; Timm Denecke; Bernd Hamm; Uli Fehrenbach (BMC Medical Imaging, 2021)

Pneumatosis intestinalis and porto-mesenteric venous gas: a multicenter study. - 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 (BMC Medical Imaging, 2021)

3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware. - Keno K. Bressem; Stefan Markus Niehues; Bernd Hamm; Marcus R. Makowski; Janis Lucas Vahldiek; Lisa C. Adams (CoRR, 2021)

A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data. - 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; et al. (npj Digit. Medicine, 2021)

CODEX Meets RACOON - A Concept for Collaborative Documentation of Clinical and Radiological COVID-19 Data. - Marvin Schmidt; Sebastian Gebauer; Annette Bartholmes; Dennis Kadioglu; Jens Kleesiek; Bernd Hamm; Thomas J. Vogl; Tobias Penzkofer; Andreas Michael Bucher; Holger Storf (GMDS, 2022)