Tracking disease progression
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs Journal Article
In: IEEE Trans. Medical Imaging, vol. 43, no. 9, pp. 3200–3210, 2024.
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT Proceedings Article
In: Linguraru, Marius George; Dou, Qi; Feragen, Aasa; Giannarou, Stamatia; Glocker, Ben; Lekadir, Karim; Schnabel, Julia A. (Ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 – 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part V, pp. 273–283, Springer, 2024.
Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT Journal Article
In: CoRR, vol. abs/2304.08439, 2023.
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs Journal Article
In: CoRR, vol. abs/2312.16980, 2023.
Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning Proceedings Article
In: Rekik, Islem; Adeli, Ehsan; Park, Sang Hyun (Ed.): Predictive Intelligence in Medicine – Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings, pp. 44–52, Springer, 2019.
Modeling Disease Progression In Retinal OCTs With Longitudinal Self-Supervised Learning Journal Article
In: CoRR, vol. abs/1910.09420, 2019.