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most citedMICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI

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cs.CV2025

Validation of Various Normalization Methods for Brain Tumor Segmentation: Can Federated Learning Overcome This Heterogeneity?

Jan Fiszer, Dominika Ciupek, Maciej Malawski

Deep learning (DL) has been increasingly applied in medical imaging, however, it requires large amounts of data, which raises many challenges related to data privacy, storage, and…

eess.IV2025

Federated Learning: A new frontier in the exploration of multi-institutional medical imaging data

Dominika Ciupek, Maciej Malawski, Tomasz Pieciak

Artificial intelligence has transformed the perspective of medical imaging, leading to a genuine technological revolution in modern computer-assisted healthcare systems. However, u…