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ORCIDHrvoje Bogunovic
- > Home > Persons > Hrvoje Bogunovic
Publications
- 2024
[j17]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. IEEE Trans. Medical Imaging 43(3): 1165-1179 (2024)- 2023
- [j15]Botond Fazekas, Dmitry 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. IEEE J. Biomed. Health Informatics 27(1): 41-52 (2023) - [c23]Botond Fazekas, José Morano, Dmitry A. Lachinov, Guilherme Aresta, Hrvoje Bogunovic:
Adapting Segment Anything Model (SAM) for Retinal OCT. OMIA@MICCAI 2023: 92-101 - [c20]José Morano, Guilherme Aresta, Dmitry 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. MICCAI (4) 2023: 589-599 - [i27]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) - [i24]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) - [i23]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
- [c18]Botond Fazekas, Guilherme Aresta, Dmitry 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. MICCAI (8) 2022: 320-329 - [i17]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) - [i15]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) - [i14]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
- [c15]Dmitrii A. Lachinov, Philipp Seeböck, Julia Mai, Felix Goldbach, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT. MICCAI (1) 2021: 431-441 - [i13]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)
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