Search Results for author: Matteo Mancini

Found 2 papers, 2 papers with code

Lossy compression of multidimensional medical images using sinusoidal activation networks: an evaluation study

1 code implementation2 Aug 2022 Matteo Mancini, Derek K. Jones, Marco Palombo

In this work, we evaluate how neural networks with periodic activation functions can be leveraged to reliably compress large multidimensional medical image datasets, with proof-of-concept application to 4D diffusion-weighted MRI (dMRI).

Data Compression

Synth-by-Reg (SbR): Contrastive learning for synthesis-based registration of paired images

1 code implementation30 Jul 2021 Adrià Casamitjana, Matteo Mancini, Juan Eugenio Iglesias

Nonlinear inter-modality registration is often challenging due to the lack of objective functions that are good proxies for alignment.

Contrastive Learning Translation

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