Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From OCT Volumes-Reference-Cited by-同舟云学术

Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From OCT Volumes

Published:2024-09 Issue:9 Volume:43 Page:3224-3239
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Chakravarty Arunava¹^ORCID,Emre Taha¹^ORCID,Leingang Oliver¹,Riedl Sophie¹,Mai Julia¹^ORCID,Scholl Hendrik P. N.²,Sivaprasad Sobha³,Rueckert Daniel⁴^ORCID,Lotery Andrew⁵^ORCID,Schmidt-Erfurth Ursula¹^ORCID,Bogunović Hrvoje⁶^ORCID

Affiliation:

1. Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria

2. Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland

3. NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, U.K.

4. BioMedIA, Imperial College London, London, U.K.

5. Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, U.K.

6. Department of Ophthalmology and Optometry and the Christian Doppler Laboratory for Artificial Intelligence in Retina, Medical University of Vienna, Vienna, Austria

Funder

Wellcome Trust Collaborative Award

Austrian Science Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/42/10663877/10504887.pdf?arnumber=10504887

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