16 citations · 18 across the 2 of their papers we have counts for
2 papers
eess.IV2022★ 16 cited
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation
Tobias Bernecker, Annette Peters, Christopher L. Schlett +5
Given the high incidence and effective treatment options for liver diseases, they are of great socioeconomic importance. One of the most common methods for analyzing CT and MRI ima…
q-bio.QM2022★ 2 cited
Deep Learning-based Assessment of Hepatic Steatosis on chest CT
Zhongyi Zhang, Jakob Weiss, Jana Taron +3
Purpose: Automatic methods are required for the early detection of hepatic steatosis to avoid progression to cirrhosis and cancer. Here, we developed a fully automated deep learnin…