Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning-Reference-Cited by-同舟云学术

Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning

Author:

Chen Dongdong¹^ORCID,Davies Mike²^ORCID,Ehrhardt Matthias J.³^ORCID,Schonlieb Carola-Bibiane⁴^ORCID,Sherry Ferdia⁵^ORCID,Tachella Julian⁶^ORCID

Affiliation:

1. Postdoctoral Research Associate in Computational Sensing and Machine Learning, University of Edinburgh, Edinburgh, U.K.

2. Signal and Image Processing, University of Edinburgh, Edinburgh, U.K.

3. Institute for Mathematical Innovation, University of Bath, Bath, U.K.

4. Lecturer, University of Cambridge, Cambridge, U.K.

5. Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, U.K.

6. Centre National de Recherche Scientifique Researcher, École Normale Supérieure de Lyon, Lyon, France

Funder

Engineering and Physical Sciences Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

Reference40 articles.

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