Publications

2024

• Emre T., Chakravarty A., Lachinov D., Rivail A., Schmidt-Erfurth U., Bogunović H.
  Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations.
  In Linguraru M.G., Dou Q., Feragen A., Giannarou S., Glocker B., Lekadir K., Schnabel J.A. (Eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. 27th International Conference, Marrakesh, Morocco, 6–10 October 2024, Proceedings, Part XII, Lecture Notes in Computer Science 15012, Springer, Cham, 196–206, (2024) [bib]
  

  
  @INCOLLECTION{emre2024ltef196206,
    author = {Emre, T.~ and Chakravarty, A.~ and Lachinov, D.~ and Rivail, A.~ and Schmidt-Erfurth, U.~ and Bogunović, H.~},
    title = {Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations.},
    booktitle = {Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. 27th International Conference, Marrakesh, Morocco, 6–10 October 2024, Proceedings, Part XII},
    publisher = {Springer},
    year = {2024},
    editor = {Linguraru,M.G.;Dou,Q.;Feragen,A.;Giannarou,S.;Glocker,B.;Lekadir,K.;Schnabel,J.A.},
    number = {15012},
    series = {Lecture Notes in Computer Science},
    pages = {196--206},
    address = {Cham},
    month = {oct},
    url = {https://doi.org/10.1007/978-3-031-72390-2_19}
  }

• Chakravarty A., Emre T., Lachinov D., Rivail A., Scholl H., Fritsche L., Sivaprasad S., Rueckert D., Lotery A., Schmidt-Erfurth U., Bogunović H.
  Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT.
  In Linguraru M.G., Dou Q., Feragen A., Giannarou S., Glocker B., Lekadir K., Schnabel J.A. (Eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 27th International Conference, Marrakesh, Morocco, 6–10 October 2024, Proceedings, Part V, Lecture Notes in Computer Science 15005, Springer, Cham, 273–283, (2024) [bib]
  

  
  @INCOLLECTION{chakravarty2024fdpw273283,
    author = {Chakravarty, A.~ and Emre, T.~ and Lachinov, D.~ and Rivail, A.~ and Scholl, H.~ and Fritsche, L.~ and Sivaprasad, S.~ and Rueckert, D.~ and Lotery, A.~ and Schmidt-Erfurth, U.~ and Bogunović, H.~},
    title = {Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT.},
    booktitle = {Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 27th International Conference, Marrakesh, Morocco, 6–10 October 2024, Proceedings, Part V},
    publisher = {Springer},
    year = {2024},
    editor = {Linguraru,M.G.;Dou,Q.;Feragen,A.;Giannarou,S.;Glocker,B.;Lekadir,K.;Schnabel,J.A.},
    number = {15005},
    series = {Lecture Notes in Computer Science},
    pages = {273--283},
    address = {Cham},
    doi = {10.1007/978-3-031-72086-4_26},
    url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206571158\&doi=10.1007%2f978-3-031-72086-4_26\&partnerID=40\&md5=779eb79b2e5c5c1820ca5fd47d7a1b67}
  }

• Chakravarty A., Emre T., Leingang O., Riedl S., Mai J., Scholl H.P.N., Sivaprasad S., Rueckert D., Lotery A., Schmidt-Erfurth U., Bogunovic H.
  Morph-SSL: Self-Supervision with Longitudinal Morphing for Forecasting AMD Progression from OCT Volumes.
  IEEE Transactions on Medical Imaging 43(9), 3224–3239, (2024) [bib]
  

  
  @ARTICLE{chakravarty2024mswl32243239,
    author = {Chakravarty, A.~ and Emre, T.~ and Leingang, O.~ and Riedl, S.~ and Mai, J.~ and Scholl, H.P.N.~ and Sivaprasad, S.~ and Rueckert, D.~ and Lotery, A.~ and Schmidt-Erfurth, U.~ and Bogunovic, H.~},
    title = {Morph-SSL: Self-Supervision with Longitudinal Morphing for Forecasting AMD Progression from OCT Volumes.},
    journal = {IEEE Transactions on Medical Imaging},
    year = {2024},
    volume = {43},
    number = {9},
    pages = {3224--3239},
    doi = {10.1109/TMI.2024.3390940}
  }

• Emre T., Chakravarty A., Rivail A., Lachinov D., Leingang O., Riedl S., Mai J., Scholl H., Sivaprasad S., Rueckert D., Lotery A., Schmidt-Erfurth U., Bogunovic H., for the PINNACLE Consortium
  3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs.
  IEEE Transactions on Medical Imaging 43(9), 3200–3210, (2024) [bib]
  

  
  @ARTICLE{emre20243tnl32003210,
    author = {Emre, T.~ and Chakravarty, A.~ and Rivail, A.~ and Lachinov, D.~ and Leingang, O.~ and Riedl, S.~ and Mai, J.~ and Scholl, H.~ and Sivaprasad, S.~ and Rueckert, D.~ and Lotery, A.~ and Schmidt-Erfurth, U.~ and Bogunovic, H.~ and {for the PINNACLE Consortium}},
    title = {3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs.},
    journal = {IEEE Transactions on Medical Imaging},
    year = {2024},
    volume = {43},
    number = {9},
    pages = {3200--3210},
    issn = {0278-0062},
    doi = {10.1109/TMI.2024.3391215}
  }