55 citations · 71 across the 4 of their papers we have counts for
4 papers
CoMeT: A foundation model for medical image analysis through federated, multidimensional context integration
J. Raphael Schäfer, Kai Geissler, Till Nicke +27
Medical foundation models improve generalization when training AI models with limited labeled data, but remain confined to a single specialty, such as pathology or radiology, and t…
Volumetric Reconstruction of Prostatectomy Specimens from Histology
Tom Bisson, Isil Dogan O, Iris Piwonski +7
Surgical treatment for prostate cancer often involves organ removal, i.e., prostatectomy. Pathology reports on these specimens convey treatment-relevant information. Beyond these r…
Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA Initiative
Norman Zerbe, Lars Ole Schwen, Christian Geißler +17
Over the past decade, artificial intelligence (AI) methods in pathology have advanced substantially. However, integration into routine clinical practice has been slow due to numero…
Digitization of Pathology Labs: A Review of Lessons Learned
Lars Ole Schwen, Tim-Rasmus Kiehl, Rita Carvalho +2
Pathology laboratories are increasingly using digital workflows. This has the potential of increasing lab efficiency, but the digitization process also involves major challenges. S…