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Dmitry Lachinov
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CHAOS challenge-combined (CT-MR) healthy abdominal organ segmentation
AE Kavur, NS Gezer, M Barış, S Aslan, PH Conze, V Groza, DD Pham, ...
Medical Image Analysis 69, 101950, 2021
4652021
Glioma segmentation with cascaded UNet
D Lachinov, E Vasiliev, V Turlapov
International MICCAI Brainlesion Workshop, 189-198, 2018
812018
The effect of pegcetacoplan treatment on photoreceptor maintenance in geographic atrophy monitored by artificial intelligence–based OCT analysis
S Riedl, WD Vogl, J Mai, GS Reiter, D Lachinov, C Grechenig, ...
Ophthalmology Retina 6 (11), 1009-1018, 2022
462022
Predicting topographic disease progression and treatment response of pegcetacoplan in geographic atrophy quantified by deep learning
WD Vogl, S Riedl, J Mai, GS Reiter, D Lachinov, H Bogunović, ...
Ophthalmology Retina 7 (1), 4-13, 2023
402023
Projective skip-connections for segmentation along a subset of dimensions in retinal OCT
D Lachinov, P Seeböck, J Mai, F Goldbach, U Schmidt-Erfurth, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
182021
Knowledge distillation for brain tumor segmentation
D Lachinov, E Shipunova, V Turlapov
International MICCAI Brainlesion Workshop, 324-332, 2019
182019
Comparison of fundus autofluorescence versus optical coherence tomography–based evaluation of the therapeutic response to pegcetacoplan in geographic atrophy
J Mai, S Riedl, GS Reiter, D Lachinov, WD Vogl, H Bogunovic, ...
American Journal of Ophthalmology 244, 175-182, 2022
162022
Cephalometric landmark regression with convolutional neural networks on 3D computed tomography data
D Lachinov, A Getmanskaya, V Turlapov
Pattern Recognition and Image Analysis 30, 512-522, 2020
132020
Segmentation of Bruch's Membrane in retinal OCT with AMD using anatomical priors and uncertainty quantification
B Fazekas, D Lachinov, G Aresta, J Mai, U Schmidt-Erfurth, H Bogunović
IEEE Journal of Biomedical and Health Informatics 27 (1), 41-52, 2022
112022
Clinical validation for automated geographic atrophy monitoring on OCT under complement inhibitory treatment
J Mai, D Lachinov, S Riedl, GS Reiter, WD Vogl, H Bogunovic, ...
Scientific Reports 13 (1), 7028, 2023
102023
Segmentation of Thoracic Organs Using Pixel Shuffle
D Lachinov
92019
SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors
B Fazekas, G Aresta, D Lachinov, S Riedl, J Mai, U Schmidt-Erfurth, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2022
52022
Learning spatio-temporal model of disease progression with neuralodes from longitudinal volumetric data
D Lachinov, A Chakravarty, C Grechenig, U Schmidt-Erfurth, H Bogunović
IEEE Transactions on Medical Imaging, 2023
42023
Progression dynamics of early versus later stage atrophic lesions in nonneovascular age-related macular degeneration using quantitative OCT biomarker segmentation
LM Coulibaly, GS Reiter, P Fuchs, D Lachinov, O Leingang, WD Vogl, ...
Ophthalmology Retina 7 (9), 762-770, 2023
32023
Predictive identification of the fastest progressing geographic atrophy lesions based on deep learning in the phase 2 FILLY clinical trial of pegcetacoplan
H Bogunovic, D Lachinov, J Mai, GS Reiter, S Riedl, WD Vogl, ...
Investigative Ophthalmology & Visual Science 62 (8), 129-129, 2021
32021
Refinement of the coherent point drift registration results by the example of cephalometry problems
DA Lachinov, AA Getmanskaya, VE Turlapov
Programming and Computer Software 44, 248-257, 2018
32018
Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation
J Morano, G Aresta, D Lachinov, J Mai, U Schmidt-Erfurth, H Bogunović
International Conference on Medical Image Computing and Computer-Assisted …, 2023
22023
SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT
B Fazekas, J Morano, D Lachinov, G Aresta, H Bogunović
arXiv preprint arXiv:2308.09331, 2023
22023
Progression dynamics of early versus later-stage atrophic lesions in non-neovascular AMD using quantitative OCT biomarker segmentation.
LM Coulibaly, GS Reiter, P Fuchs, D Lachinov, O Leingang, WD Vogl, ...
Ophthalmology. Retina, S2468-6530 (23) 00202, 2023
22023
Точный автоматический алгоритм детектирования цефалометрических точек на КТ-изображениях
ДА Лачинов, АА Белокаменская, ВЕ Турлапов
Труды, 275-278, 2017
22017
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