most citedOptimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study

2 citations · 2 across the 1 of their papers we have counts for

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eess.IV2025★ 2 cited

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study

Ashkan Moradi, Fadila Zerka, Joeran S. Bosma +7

Purpose: To develop and optimize a federated learning (FL) framework across multiple clients for biparametric MRI prostate segmentation and clinically significant prostate cancer (…