Date released 21/01/2023.
This folder contains the dataset used in the following paper:

G. Zingarini, D. Cozzolino, R. Corvi, G. Poggi, and L. Verdoliva
''M3Dsynth: A dataset of medical 3D images with AI-generated local manipulations''
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.

Please cite this paper if you use the dataset.
For more information, see the relative github:
  https://github.com/grip-unina/M3Dsynth

MD5:
57ae4bb775e7f0c0acb42021836c8b3b  cycle.tgz
b98e8bbfad5c685a7cf18e952a4e82cb  diffusion.tgz
603e2546ae63a26c11d5bad43c3ae46f  pix2pix.tgz

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Copyright (c) 2023 Image Processing Research Group of University Federico II of Naples ('GRIP-UNINA').
All rights reserved.
This work should only be used for nonprofit purposes.

By downloading and/or using any of these files, you implicitly agree to all the
terms of the license, as specified in the document LICENSE.txt
(included in this package) and online at
http://www.grip.unina.it/download/LICENSE_OPEN.txt

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If you have any comment, suggestion, or question, please do
contact Luisa Verdoliva at verdoliv@unina.it
For other information: http://www.grip.unina.it/