( en | de | ru )

 

Disambiguation of "Hamm, Bernd"

Author of the publication

copydeleteadd this publication to your clipboard
Medienmacht – wie und zu wessen Nutzen unser Bewusstsein gemacht wird

. Online, (May 2007)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Bernd Hamm

Hamm

Henry Hamm

Hinrich Hamm

Georg Hamm

 

Other publications of authors with the same name

Impact of Single-Energy Metal Artifact Reduction on CT image quality in patients with dental hardware., , , , and . Comput. Biol. Medicine, (2018)Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports., , , , , , , , and . Bioinform., 36 (21): 5255-5261 (2021)A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data., , , , , , , , , and 18 other author(s). npj Digit. Medicine, (2021)Claustrophobia and premature termination of magnetic resonance imaging examinations, , , and . Journal of Magnetic Resonance Imaging, 26 (2): 401-404 (July 2007)Das Netzwerk Universitätsmedizin: Technisch-organisatorische Ansätze für Forschungsdatenplattformen, , , , , , , , , and 34 other author(s). Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, 66 (2): 114--125 (Feb 1, 2023)Medienmacht – wie und zu wessen Nutzen unser Bewusstsein gemacht wird. Online, (May 2007)Comparing Different Deep Learning Architectures for Classification of Chest Radiographs., , , , , and . CoRR, (2020)Das Netzwerk Universitätsmedizin: Technisch-organisatorische Ansätze für Forschungsdatenplattformen, , , , , , , , , and 34 other author(s). Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, 66 (2): 114-125 (2023)3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware., , , , , and . CoRR, (2021)Variability of Semiautomated Lung Nodule Volumetry on Ultralow-Dose CT: Comparison with Nodule Volumetry on Standard-Dose CT., , , , , , , , and . J. Digit. Imaging, 23 (1): 8-17 (2010)