default search action
Dmitry A. Lachinov
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j5]Dmitrii A. Lachinov
, Arunava Chakravarty
Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data. IEEE Trans. Medical Imaging 43(3): 1165-1179 (2024) - [j4]Taha Emre
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs. IEEE Trans. Medical Imaging 43(9): 3200-3210 (2024) - [c9]Taha Emre, Arunava Chakravarty, Dmitry A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations. MICCAI (12) 2024: 196-206 - [c8]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:
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT. MICCAI (5) 2024: 273-283 - [i14]Taha Emre, Arunava Chakravarty, Dmitrii A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Time-Equivariant Contrastive Learning for Degenerative Disease Progression in Retinal OCT. CoRR abs/2405.09404 (2024) - [i13]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:
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT. CoRR abs/2409.20195 (2024) - 2023
- [j3]Botond Fazekas
Segmentation of Bruch's Membrane in Retinal OCT With AMD Using Anatomical Priors and Uncertainty Quantification. IEEE J. Biomed. Health Informatics 27(1): 41-52 (2023) - [c7]Botond Fazekas, José Morano, Dmitry A. Lachinov, Guilherme Aresta, Hrvoje Bogunovic:
Adapting Segment Anything Model (SAM) for Retinal OCT. OMIA@MICCAI 2023: 92-101 - [c6]José Morano
Self-supervised Learning via Inter-modal Reconstruction and Feature Projection Networks for Label-Efficient 3D-to-2D Segmentation. MICCAI (4) 2023: 589-599 - [i12]José Morano, Guilherme Aresta, Dmitrii A. Lachinov, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation. CoRR abs/2307.03008 (2023) - [i11]Botond Fazekas, José Morano, Dmitrii A. Lachinov, Guilherme Aresta, Hrvoje Bogunovic:
SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT. CoRR abs/2308.09331 (2023) - [i10]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:
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs. CoRR abs/2312.16980 (2023) - 2022
- [c5]Botond Fazekas, Guilherme Aresta, Dmitry A. Lachinov, Sophie Riedl, Julia Mai
SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors. MICCAI (8) 2022: 320-329 - [i9]Botond Fazekas, Guilherme Aresta, Dmitrii A. Lachinov, Sophie Riedl, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors. CoRR abs/2207.00458 (2022) - [i8]Botond Fazekas, Dmitrii A. Lachinov, Guilherme Aresta, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Segmentation of Bruch's Membrane in retinal OCT with AMD using anatomical priors and uncertainty quantification. CoRR abs/2210.14799 (2022) - [i7]Dmitrii A. Lachinov, Arunava Chakravarty, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Learning Spatio-Temporal Model of Disease Progression with NeuralODEs from Longitudinal Volumetric Data. CoRR abs/2211.04234 (2022) - 2021
- [j2]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. Medical Image Anal. 69: 101950 (2021) - [c4]Dmitrii A. Lachinov
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT. MICCAI (1) 2021: 431-441 - [i6]Dmitrii A. Lachinov, Philipp Seeböck, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT. CoRR abs/2108.00831 (2021) - 2020
- [i5]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee
CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation. CoRR abs/2001.06535 (2020) - [i4]Dmitry A. Lachinov, Elena Shipunova, Vadim Turlapov:
Knowledge Distillation for Brain Tumor Segmentation. CoRR abs/2002.03688 (2020) - [i3]Dmitry A. Lachinov, Alexandra Getmanskaya, Vadim Turlapov:
Cephalometric Landmark Regression with Convolutional Neural Networks on 3D Computed Tomography Data. CoRR abs/2007.10052 (2020)
2010 – 2019
- 2019
- [c3]Dmitry A. Lachinov
Knowledge Distillation for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2019: 324-332 - [c2]Dmitry A. Lachinov:
Segmentation of Thoracic Organs Using Pixel Shuffle. SegTHOR@ISBI 2019 - 2018
- [j1]Dmitry A. Lachinov, A. A. Getmanskaya
Refinement of the Coherent Point Drift Registration Results by the Example of Cephalometry Problems. Program. Comput. Softw. 44(4): 248-257 (2018) - [c1]Dmitry A. Lachinov
Glioma Segmentation with Cascaded UNet. BrainLes@MICCAI (2) 2018: 189-198 - [i2]Dmitry A. Lachinov, Evgeny Vasiliev, Vadim Turlapov:
Glioma Segmentation with Cascaded Unet. CoRR abs/1810.04008 (2018) - [i1]Dmitry A. Lachinov, Vadim Turlapov:
The Coherent Point Drift for Clustered Point Sets. CoRR abs/1812.05869 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-10 21:49 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: