Longitudial Research

Tracking disease progression

1.

Emre, Taha; Chakravarty, Arunava; Rivail, Antoine; Lachinov, Dmitry A.; Leingang, Oliver; Riedl, Sophie; Mai, Julia; Scholl, Hendrik P. N.; Sivaprasad, Sobha; Rueckert, Daniel; Lotery, Andrew J.; Schmidt-Erfurth, Ursula; Bogunovic, Hrvoje

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.

Links | BibTeX

2.

Chakravarty, Arunava; Emre, Taha; Lachinov, Dmitry A.; Rivail, Antoine; Scholl, Hendrik P. N.; Fritsche, Lars; Sivaprasad, Sobha; Rueckert, Daniel; Lotery, Andrew J.; Schmidt-Erfurth, Ursula; Bogunovic, Hrvoje

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.

Links | BibTeX

3.

Chakravarty, Arunava; Emre, Taha; Leingang, Oliver; Riedl, Sophie; Mai, Julia; Scholl, Hendrik P. N.; Sivaprasad, Sobha; Rueckert, Daniel; Lotery, Andrew J.; Schmidt-Erfurth, Ursula; Bogunovic, Hrvoje

Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT Journal Article

In: CoRR, vol. abs/2304.08439, 2023.

Links | BibTeX

4.

Emre, Taha; Chakravarty, Arunava; Rivail, Antoine; Lachinov, Dmitrii A.; Leingang, Oliver; Riedl, Sophie; Mai, Julia; Scholl, Hendrik P. N.; Sivaprasad, Sobha; Rueckert, Daniel; Lotery, Andrew J.; Schmidt-Erfurth, Ursula; Bogunovic, Hrvoje

3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs Journal Article

In: CoRR, vol. abs/2312.16980, 2023.

Links | BibTeX

5.

Rivail, Antoine; Schmidt-Erfurth, Ursula; Vogl, Wolf-Dieter; Waldstein, Sebastian M.; Riedl, Sophie; Grechenig, Christoph; Wu, Zhichao; Bogunovic, Hrvoje

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.

Links | BibTeX

6.

Rivail, Antoine; Schmidt-Erfurth, Ursula; Vogl, Wolf-Dieter; Waldstein, Sebastian M.; Riedl, Sophie; Grechenig, Christoph; Wu, Zhichao; Bogunovic, Hrvoje

Modeling Disease Progression In Retinal OCTs With Longitudinal Self-Supervised Learning Journal Article

In: CoRR, vol. abs/1910.09420, 2019.

Links | BibTeX