Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation-Reference-Cited by-同舟云学术

Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation

Published:2023 Issue: Volume: Page:1-13
ISSN:0302-9743
Container-title:Predictive Intelligence in Medicine
language:
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Author:

Zeghlache Rachid,Conze Pierre-Henri,Daho Mostafa El Habib,Li Yihao,Boité Hugo Le,Tadayoni Ramin,Massin Pascal,Cochener Béatrice,Brahim Ikram,Quellec Gwenolé,Lamard Mathieu

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-46005-0_1

Reference21 articles.

1. Chamard, C., et al.: Ten-year incidence and assessment of safe screening intervals for diabetic retinopathy: the OPHDIAT study. British J. Ophthal. 105(3), 432–439 (2020)

2. Chen, R.T.Q., Rubanova, Y., Bettencourt, J., Duvenaud, D.: Neural ordinary differential equations (2018). https://doi.org/10.48550/ARXIV.1806.07366, https://arxiv.org/abs/1806.07366

3. Chen, R.T.Q.: torchdiffeq (2018). https://github.com/rtqichen/torchdiffeq

4. Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations (2020). https://doi.org/10.48550/ARXIV.2002.05709, https://arxiv.org/abs/2002.05709

5. Couronné, R., Vernhet, P., Durrleman, S.: Longitudinal self-supervision to disentangle inter-patient variability from disease progression, September 2021. https://doi.org/10.1007/978-3-030-87196-3_22

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