Dmitrii A. Lachinov

12 papers Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2024 — conf
Automatic Detection and Prediction of nAMD Activity Change in Retinal OCT Using Siamese Networks and Wasserstein Distance for Ordinality.
DIAMOND/MARIO@MICCAI
Taha Emre, Teresa Araújo, Marzieh Oghbaie, Dmitrii A. Lachinov, Guilherme Aresta, Hrvoje Bogunovic
2024 J jnl
Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data.
IEEE Trans. Medical Imaging
Dmitrii A. Lachinov, Arunava Chakravarty, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 — conf
Predicting Age-related Macular Degeneration Progression from Retinal Optical Coherence Tomography with Intra-Subject Temporal Consistency.
MIDL
Arunava Chakravarty, Taha Emre, Dmitrii A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 J jnl
Time-Equivariant Contrastive Learning for Degenerative Disease Progression in Retinal OCT.
CoRR
Taha Emre, Arunava Chakravarty, Dmitrii A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 J jnl
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs.
CoRR
Taha Emre, Arunava Chakravarty, Antoine Rivail, Dmitrii A. Lachinov, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 J jnl
SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT.
CoRR
Botond Fazekas, José Morano, Dmitrii A. Lachinov, Guilherme Aresta, Hrvoje Bogunovic
2023 J jnl
Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation.
CoRR
José Morano, Guilherme Aresta, Dmitrii A. Lachinov, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2022 J jnl
Learning Spatio-Temporal Model of Disease Progression with NeuralODEs from Longitudinal Volumetric Data.
CoRR
Dmitrii A. Lachinov, Arunava Chakravarty, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2022 J jnl
SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors.
CoRR
Botond Fazekas, Guilherme Aresta, Dmitrii A. Lachinov, Sophie Riedl, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2022 J jnl
Segmentation of Bruch's Membrane in retinal OCT with AMD using anatomical priors and uncertainty quantification.
CoRR
Botond Fazekas, Dmitrii A. Lachinov, Guilherme Aresta, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2021 — conf
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT.
MICCAI (1)
Dmitrii A. Lachinov, Philipp Seeböck, Julia Mai, Felix Goldbach, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2021 J jnl
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT.
CoRR
Dmitrii A. Lachinov, Philipp Seeböck, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic