| 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 | 664 | 2021 |
| Glioma segmentation with cascaded UNet D Lachinov, E Vasiliev, V Turlapov International MICCAI Brainlesion Workshop, 189-198, 2018 | 96 | 2018 |
| 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 | 77 | 2022 |
| 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 | 61 | 2023 |
| 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 | 28 | 2022 |
| 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 | 28 | 2021 |
| 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 | 20 | 2023 |
| Knowledge distillation for brain tumor segmentation D Lachinov, E Shipunova, V Turlapov International MICCAI Brainlesion Workshop, 324-332, 2019 | 20 | 2019 |
| 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 | 16 | 2022 |
| 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 | 15 | 2022 |
| 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 | 14 | 2020 |
| 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 | 13 | 2023 |
| Adapting Segment Anything Model (SAM) for Retinal OCT B Fazekas, J Morano, D Lachinov, G Aresta, H Bogunović International Workshop on Ophthalmic Medical Image Analysis, 92-101, 2023 | 12 | 2023 |
| Segmentation of Thoracic Organs Using Pixel Shuffle D Lachinov | 12 | 2019 |
| 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 | 11 | 2023 |
| Deep learning-based prediction of individual geographic atrophy progression from a single baseline OCT J Mai, D Lachinov, GS Reiter, S Riedl, C Grechenig, H Bogunovic, ... Ophthalmology Science 4 (4), 100466, 2024 | 10 | 2024 |
| 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 | 4 | 2021 |
| 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 | 4 | 2018 |
| 3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs T Emre, A Chakravarty, A Rivail, D Lachinov, O Leingang, S Riedl, J Mai, ... IEEE Transactions on Medical Imaging, 2024 | 3 | 2024 |
| 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 | 3 | 2023 |