most citedDeep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Bi-parametric MRI Datasets

7 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2026

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…

eess.IV2024★ 7 cited

Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Bi-parametric MRI Datasets

Hao Li, Han Liu, Heinrich von Busch +16

Our hypothesis is that UDA using diffusion-weighted images, generated with a unified model, offers a promising and reliable strategy for enhancing the performance of supervised lea…