Dmitry A. Lachinov

21 papers Journal 13Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Automatic detection and prediction of nAMD activity change in retinal OCT using Siamese networks and Wasserstein Distance for ordinality.
CoRR
Taha Emre, Teresa Araújo, Marzieh Oghbaie, Dmitry A. Lachinov, Guilherme Aresta, Hrvoje Bogunovic
2025 J jnl
SD-LayerNet: Robust and label-efficient retinal layer segmentation via anatomical priors.
Comput. Methods Programs Biomed.
Botond Fazekas, Guilherme Aresta, Dmitry A. Lachinov, Sophie Riedl, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2025 J jnl
Stochastic Siamese MAE Pretraining for Longitudinal Medical Images.
CoRR
Taha Emre, Arunava Chakravarty, Thomas Pinetz, Dmitry A. Lachinov, Martin J. Menten, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Stefan Sacu, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 J jnl
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs.
IEEE Trans. Medical Imaging
Taha Emre, Arunava Chakravarty, Antoine Rivail, Dmitry A. Lachinov, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 — conf
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT.
MICCAI (5)
Arunava Chakravarty, Taha Emre, Dmitry A. Lachinov, Antoine Rivail, Hendrik P. N. Scholl, Lars Fritsche, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 J jnl
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT.
CoRR
Arunava Chakravarty, Taha Emre, Dmitry A. Lachinov, Antoine Rivail, Hendrik P. N. Scholl, Lars Fritsche, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 — conf
Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations.
MICCAI (12)
Taha Emre, Arunava Chakravarty, Dmitry A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 — conf
Adapting Segment Anything Model (SAM) for Retinal OCT.
OMIA@MICCAI
Botond Fazekas, José Morano, Dmitry A. Lachinov, Guilherme Aresta, Hrvoje Bogunovic
2023 J jnl
Segmentation of Bruch's Membrane in Retinal OCT With AMD Using Anatomical Priors and Uncertainty Quantification.
IEEE J. Biomed. Health Informatics
Botond Fazekas, Dmitry A. Lachinov, Guilherme Aresta, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 — conf
Self-supervised Learning via Inter-modal Reconstruction and Feature Projection Networks for Label-Efficient 3D-to-2D Segmentation.
MICCAI (4)
José Morano, Guilherme Aresta, Dmitry A. Lachinov, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2022 — conf
SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors.
MICCAI (8)
Botond Fazekas, Guilherme Aresta, Dmitry A. Lachinov, Sophie Riedl, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2021 J jnl
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation.
Medical Image Anal.
A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver
2020 J jnl
CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation.
CoRR
A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Sinem Aslan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver
2020 J jnl
Cephalometric Landmark Regression with Convolutional Neural Networks on 3D Computed Tomography Data.
CoRR
Dmitry A. Lachinov, Alexandra Getmanskaya, Vadim Turlapov
2020 J jnl
Knowledge Distillation for Brain Tumor Segmentation.
CoRR
Dmitry A. Lachinov, Elena Shipunova, Vadim Turlapov
2019 — conf
Knowledge Distillation for Brain Tumor Segmentation.
BrainLes@MICCAI (2)
Dmitry A. Lachinov, Elena Shipunova, Vadim Turlapov
2019 — conf
Segmentation of Thoracic Organs Using Pixel Shuffle.
SegTHOR@ISBI
Dmitry A. Lachinov
2018 — conf
Glioma Segmentation with Cascaded UNet.
BrainLes@MICCAI (2)
Dmitry A. Lachinov, Evgeny Vasiliev, Vadim Turlapov
2018 J jnl
Glioma Segmentation with Cascaded Unet.
CoRR
Dmitry A. Lachinov, Evgeny Vasiliev, Vadim Turlapov
2018 J jnl
Refinement of the Coherent Point Drift Registration Results by the Example of Cephalometry Problems.
Program. Comput. Softw.
Dmitry A. Lachinov, A. A. Getmanskaya, V. E. Turlapov
2018 J jnl
The Coherent Point Drift for Clustered Point Sets.
CoRR
Dmitry A. Lachinov, Vadim Turlapov