42 citations · 42 across the 2 of their papers we have counts for
3 papers
Lossy compression of multidimensional medical images using sinusoidal activation networks: an evaluation study
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-…
First release of Apertif imaging survey data
Elizabeth A. K. Adams, B. Adebahr, W. J. G. de Blok +56
(Abridged) Apertif is a phased-array feed system for WSRT, providing forty instantaneous beams over 300 MHz of bandwidth. A dedicated survey program started on 1 July 2019, with th…
Synth-by-Reg (SbR): Contrastive learning for synthesis-based registration of paired images
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. Here we propose a synthesis-by-registration m…