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Dmitrii Lachinov

Showing results (1-10 of 15) with videos related to

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IEEE Transactions on Bio-Medical Engineering|January 19, 2026
PINN-EM: Physics-Guided Disease Progression Model of Geographic AtrophyDmitrii Lachinov, Thomas Pinetz, Hrvoje Bogunovic
IEEE Transactions on Medical Imaging|November 7, 2023
Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric DataDmitrii Lachinov, Arunava Chakravarty, Christoph Grechenig, et al.
IEEE Journal of Biomedical and Health Informatics|October 28, 2022
Segmentation of Bruch's Membrane in Retinal OCT With AMD Using Anatomical Priors and Uncertainty QuantificationBotond Fazekas, Dmitrii Lachinov, Guilherme Aresta, et al.
Computer Methods and Programs in Biomedicine|January 14, 2025
SD-LayerNet: Robust and label-efficient retinal layer segmentation via anatomical priorsBotond Fazekas, Guilherme Aresta, Dmitrii Lachinov, et al.
Ophthalmology Science|April 9, 2024
Deep Learning-Based Prediction of Individual Geographic Atrophy Progression from a Single Baseline OCTJulia Mai, Dmitrii Lachinov, Gregor S Reiter, et al.
American Journal of Ophthalmology|July 19, 2022
Comparison of Fundus Autofluorescence Versus Optical Coherence Tomography-based Evaluation of the Therapeutic Response to Pegcetacoplan in Geographic AtrophyJulia Mai, Sophie Riedl, Gregor S Reiter, et al.
Ophthalmology. Retina|May 19, 2023
ReplyUrsula Schmidt-Erfurth, Wolf-Dieter Vogl, Sophie Riedl, et al.
Die Ophthalmologie|July 7, 2023
[Monitoring of the progression of geographic atrophy with optical coherence tomography]Ursula Schmidt-Erfurth, Julia Mai, Gregor S Reiter, et al.
Ophthalmology. Retina|August 10, 2022
Predicting Topographic Disease Progression and Treatment Response of Pegcetacoplan in Geographic Atrophy Quantified by Deep LearningWolf-Dieter Vogl, Sophie Riedl, Julia Mai, et al.
Scientific Reports|April 29, 2023
Clinical validation for automated geographic atrophy monitoring on OCT under complement inhibitory treatmentJulia Mai, Dmitrii Lachinov, Sophie Riedl, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Bio-Medical Engineering|January 19, 2026
PINN-EM: Physics-Guided Disease Progression Model of Geographic AtrophyDmitrii Lachinov, Thomas Pinetz, Hrvoje Bogunovic
IEEE Transactions on Medical Imaging|November 7, 2023
Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric DataDmitrii Lachinov, Arunava Chakravarty, Christoph Grechenig, et al.
IEEE Journal of Biomedical and Health Informatics|October 28, 2022
Segmentation of Bruch's Membrane in Retinal OCT With AMD Using Anatomical Priors and Uncertainty QuantificationBotond Fazekas, Dmitrii Lachinov, Guilherme Aresta, et al.
Computer Methods and Programs in Biomedicine|January 14, 2025
SD-LayerNet: Robust and label-efficient retinal layer segmentation via anatomical priorsBotond Fazekas, Guilherme Aresta, Dmitrii Lachinov, et al.
Ophthalmology Science|April 9, 2024
Deep Learning-Based Prediction of Individual Geographic Atrophy Progression from a Single Baseline OCTJulia Mai, Dmitrii Lachinov, Gregor S Reiter, et al.
American Journal of Ophthalmology|July 19, 2022
Comparison of Fundus Autofluorescence Versus Optical Coherence Tomography-based Evaluation of the Therapeutic Response to Pegcetacoplan in Geographic AtrophyJulia Mai, Sophie Riedl, Gregor S Reiter, et al.
Ophthalmology. Retina|May 19, 2023
ReplyUrsula Schmidt-Erfurth, Wolf-Dieter Vogl, Sophie Riedl, et al.
Die Ophthalmologie|July 7, 2023
[Monitoring of the progression of geographic atrophy with optical coherence tomography]Ursula Schmidt-Erfurth, Julia Mai, Gregor S Reiter, et al.
Ophthalmology. Retina|August 10, 2022
Predicting Topographic Disease Progression and Treatment Response of Pegcetacoplan in Geographic Atrophy Quantified by Deep LearningWolf-Dieter Vogl, Sophie Riedl, Julia Mai, et al.
Scientific Reports|April 29, 2023
Clinical validation for automated geographic atrophy monitoring on OCT under complement inhibitory treatmentJulia Mai, Dmitrii Lachinov, Sophie Riedl, et al.
Pageof 2