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Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT.

P. Seeböck, J. Orlando, T. Schlegl, S. Waldstein, H. Bogunovic, S. Klimscha, G. Langs, and U. Schmidt-Erfurth. IEEE Trans. Med. Imaging, 39 (1): 87-98 (2020)

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Hrvoje Fulgosi

Lukas Bogunovic

Hrvoje Jenka

Hrvoje Jasak

Hrvoje Lorkovi

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Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT.P. Seeböck, J. Orlando, T. Schlegl, S. Waldstein, H. Bogunovic, S. Klimscha, G. Langs, and U. Schmidt-Erfurth. IEEE Trans. Med. Imaging, 39 (1): 87-98 (2020)Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT.P. Seeböck, J. Orlando, T. Schlegl, S. Waldstein, H. Bogunovic, S. Klimscha, G. Langs, and U. Schmidt-Erfurth. CoRR, (2019)Anatomical Labeling of the Circle of Willis Using Maximum A Posteriori Probability Estimation.H. Bogunovic, J. Pozo, R. Cárdenes, L. San-Román, and A. Frangi. IEEE Trans. Medical Imaging, 32 (9): 1587-1599 (September 2013)Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data.D. Lachinov, A. Chakravarty, C. Grechenig, U. Schmidt-Erfurth, and H. Bogunovic. IEEE Trans. Medical Imaging, 43 (3): 1165-1179 (March 2024)Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation.P. Seeböck, D. Romo-Bucheli, S. Waldstein, H. Bogunovic, J. Orlando, B. Gerendas, G. Langs, and U. Schmidt-Erfurth. ISBI, page 605-609. IEEE, (2019)AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.H. Fu, F. Li, X. Sun, X. Cao, J. Liao, J. Orlando, X. Tao, Y. Li, S. Zhang, M. Tan and 15 other author(s). CoRR, (2020)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, and H. Bogunovic. CoRR, (2022)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, H. Scholl, S. Sivaprasad, D. Rueckert and 3 other author(s). CoRR, (2023)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, and H. Bogunovic. MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 320-329. Springer, (2022)Image intensity standardization in 3D rotational angiography and its application to vascular segmentation.H. Bogunovic, A. Radaelli, M. Craene, D. Delgado-Gómez, and A. Frangi. Medical Imaging: Image Processing, volume 6914 of SPIE Proceedings, page 691419. SPIE, (2008)

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Disambiguation of "Bogunovic, Hrvoje"

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Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT.

Please choose a person to relate this publication to

Hrvoje Fulgosi

Lukas Bogunovic

Hrvoje Jenka

Hrvoje Jasak

Hrvoje Lorkovi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bogunovic, Hrvoje"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT.

Please choose a person to relate this publication to

Hrvoje Fulgosi

Lukas Bogunovic

Hrvoje Jenka

Hrvoje Jasak

Hrvoje Lorkovi

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT.