Publikationen von Dmitrii Lachinov
2025
- Fazekas B., Aresta G., Lachinov D., Riedl S., Mai J., Schmidt-Erfurth U., Bogunovic H.
SD-LayerNet: Robust and Label-Efficient Retinal Layer Segmentation via Anatomical Priors.
Computer Methods and Programs in Biomedicine 261:108586, (2025) [bib]
@ARTICLE{fazekas2025srlr108586, author = {Fazekas, B.~ and Aresta, G.~ and Lachinov, D.~ and Riedl, S.~ and Mai, J.~ and Schmidt-Erfurth, U.~ and Bogunovic, H.~}, title = {SD-LayerNet: Robust and Label-Efficient Retinal Layer Segmentation via Anatomical Priors.}, journal = {Computer Methods and Programs in Biomedicine}, year = {2025}, volume = {261}, pages = {108586}, doi = {10.1016/j.cmpb.2025.108586} }
2024
- Reiter G.S., Lachinov D., Bühl W., Weigert G., Grechenig C., Mai J., Bogunović H., Schmidt-Erfurth U.
A Novel Management Challenge in Age-Related Macular Degeneration: Artificial Intelligence and Expert Prediction of Geographic Atrophy.
Ophthalmology Retina, (2024) [bib]
@ARTICLE{reiter2024anmc, author = {Reiter, G.S.~ and Lachinov, D.~ and B{\"u}hl, W.~ and Weigert, G.~ and Grechenig, C.~ and Mai, J.~ and Bogunović, H.~ and Schmidt-Erfurth, U.~}, title = {A Novel Management Challenge in Age-Related Macular Degeneration: Artificial Intelligence and Expert Prediction of Geographic Atrophy.}, journal = {Ophthalmology Retina}, year = {2024}, issn = {2468-6530}, doi = {10.1016/j.oret.2024.10.029} } - 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} } - Jeremic N., Pawloff M., Lachinov D., Rokitansky S., Hasun M., Weidinger F., Pollreisz A., Bogunovic H., Schmidt-Erfurth U.
Severity Stratification of Coronary Artery Disease Using Novel Inner Ellipse-Based Foveal Avascular Zone Biomarkers.
Investigative Ophthalmology & Visual Science 65(12):15, (2024) [bib]
@ARTICLE{jeremic2024ssca15, author = {Jeremic, N.~ and Pawloff, M.~ and Lachinov, D.~ and Rokitansky, S.~ and Hasun, M.~ and Weidinger, F.~ and Pollreisz, A.~ and Bogunovic, H.~ and Schmidt-Erfurth, U.~}, title = {Severity Stratification of Coronary Artery Disease Using Novel Inner Ellipse-Based Foveal Avascular Zone Biomarkers.}, journal = {Investigative Ophthalmology \& Visual Science}, year = {2024}, volume = {65}, number = {12}, pages = {15}, doi = {10.1167/iovs.65.12.15} } - 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} } - Jeremic N., Pawloff M., Lachinov D., Rokitansky S., Hasun M., Weidinger F., Pollreisz A., Bogunovic H., Schmidt-Erfurth U.
Severity Stratification of Coronary Heart Disease Using Novel Inner Ellipse Based Foveal Avascular Zone Biomarkers.
Investigative Ophthalmology & Visual Science 65(7: Abstracts Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO), Seattle, WA, 5-9 May 2024):3891, (2024) [bib]
@ARTICLE{jeremic2024ssch3891, author = {Jeremic, N.~ and Pawloff, M.~ and Lachinov, D.~ and Rokitansky, S.~ and Hasun, M.~ and Weidinger, F.~ and Pollreisz, A.~ and Bogunovic, H.~ and Schmidt-Erfurth, U.~}, title = {Severity Stratification of Coronary Heart Disease Using Novel Inner Ellipse Based Foveal Avascular Zone Biomarkers.}, journal = {Investigative Ophthalmology \& Visual Science}, year = {2024}, volume = {65}, number = {7: Abstracts Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO), Seattle, WA, 5-9 May 2024}, pages = {3891}, issn = {1552-5783}, url = {https://iovs.arvojournals.org/article.aspx?articleid=2794008} }