Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Daniel Schaudt

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Journal of Imaging Informatics in Medicine|March 5, 2024
DilatedToothSegNet: Tooth Segmentation Network on 3D Dental Meshes Through Increasing Receptive VisionLucas Krenmayr, Reinhold von Schwerin, Daniel Schaudt, et al.
Journal of Healthcare Informatics Research|June 26, 2023
ResNetFed: Federated Deep Learning Architecture for Privacy-Preserving Pneumonia Detection from COVID-19 Chest RadiographsPascal Riedel, Reinhold von Schwerin, Daniel Schaudt, et al.
Scientific Reports|May 14, 2025
Evaluating masked self-supervised learning frameworks for 3D dental model segmentation tasksLucas Krenmayr, Reinhold von Schwerin, Daniel Schaudt, et al.
Bioengineering (Basel, Switzerland)|December 23, 2023
A Critical Assessment of Generative Models for Synthetic Data Augmentation on Limited Pneumonia X-ray DataDaniel Schaudt, Christian Späte, Reinhold von Schwerin, et al.
Scientific Reports|October 25, 2023
Augmentation strategies for an imbalanced learning problem on a novel COVID-19 severity datasetDaniel Schaudt, Reinhold von Schwerin, Alexander Hafner, et al.
Scientific Reports|June 6, 2023
Leveraging human expert image annotations to improve pneumonia differentiation through human knowledge distillationDaniel Schaudt, Reinhold von Schwerin, Alexander Hafner, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Journal of Imaging Informatics in Medicine|March 5, 2024
DilatedToothSegNet: Tooth Segmentation Network on 3D Dental Meshes Through Increasing Receptive VisionLucas Krenmayr, Reinhold von Schwerin, Daniel Schaudt, et al.
Journal of Healthcare Informatics Research|June 26, 2023
ResNetFed: Federated Deep Learning Architecture for Privacy-Preserving Pneumonia Detection from COVID-19 Chest RadiographsPascal Riedel, Reinhold von Schwerin, Daniel Schaudt, et al.
Scientific Reports|May 14, 2025
Evaluating masked self-supervised learning frameworks for 3D dental model segmentation tasksLucas Krenmayr, Reinhold von Schwerin, Daniel Schaudt, et al.
Bioengineering (Basel, Switzerland)|December 23, 2023
A Critical Assessment of Generative Models for Synthetic Data Augmentation on Limited Pneumonia X-ray DataDaniel Schaudt, Christian Späte, Reinhold von Schwerin, et al.
Scientific Reports|October 25, 2023
Augmentation strategies for an imbalanced learning problem on a novel COVID-19 severity datasetDaniel Schaudt, Reinhold von Schwerin, Alexander Hafner, et al.
Scientific Reports|June 6, 2023
Leveraging human expert image annotations to improve pneumonia differentiation through human knowledge distillationDaniel Schaudt, Reinhold von Schwerin, Alexander Hafner, et al.
Pageof 1