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

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

2 August 2022
M. Mancini
Derek K. Jones
M. Palombo
    MedIm
ArXivPDFHTML

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

4 / 4 papers shown
Title
A Novel Implicit Neural Representation for Volume Data
A Novel Implicit Neural Representation for Volume Data
Armin Sheibanifard
Hongchuan Yu
37
5
0
13 Mar 2024
C3: High-performance and low-complexity neural compression from a single
  image or video
C3: High-performance and low-complexity neural compression from a single image or video
Hyunjik Kim
Matthias Bauer
Lucas Theis
Jonathan Richard Schwarz
Emilien Dupont
VGen
25
24
0
05 Dec 2023
Neural Spherical Harmonics for structurally coherent continuous
  representation of diffusion MRI signal
Neural Spherical Harmonics for structurally coherent continuous representation of diffusion MRI signal
Tom Hendriks
Anna Vilanova
Maxime Chamberland
DiffM
6
3
0
16 Aug 2023
SINCO: A Novel structural regularizer for image compression using
  implicit neural representations
SINCO: A Novel structural regularizer for image compression using implicit neural representations
Harry Gao
Weijie Gan
Zhixin Sun
Ulugbek S. Kamilov
AI4CE
33
3
0
26 Oct 2022
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