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Transfer Learning for Accelerated MRI by Edward Ventura Barrientos is a document available to read on EtoBox.

This study presents a transfer-learning approach for accelerated MRI reconstruction using deep neural networks, addressing the challenge of data scarcity in training. By training networks on large public datasets and fine-tuning them with a small number of brain MR images, the proposed method achieves performance comparable to networks trained directly on extensive datasets. The results indicate that this approach can facilitate the application of neural networks in MRI reconstruction without the need for l

Author

Edward Ventura Barrientos

Language

EN