Hrvoje Bogunović
Hrvoje Bogunović
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Artificial intelligence in retina
U Schmidt-Erfurth, A Sadeghipour, BS Gerendas, SM Waldstein, ...
Progress in retinal and eye research 67, 1-29, 2018
Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
JI Orlando, H Fu, JB Breda, K Van Keer, DR Bathula, A Diaz-Pinto, ...
Medical image analysis 59, 101570, 2020
Fully automated detection and quantification of macular fluid in OCT using deep learning
T Schlegl, SM Waldstein, H Bogunovic, F Endstraßer, A Sadeghipour, ...
Ophthalmology 125 (4), 549-558, 2018
Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms
M Schaap, CT Metz, T van Walsum, AG van der Giessen, AC Weustink, ...
Medical image analysis 13 (5), 701-714, 2009
Why rankings of biomedical image analysis competitions should be interpreted with care
L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ...
Nature communications 9 (1), 5217, 2018
RETOUCH: The retinal OCT fluid detection and segmentation benchmark and challenge
H Bogunović, F Venhuizen, S Klimscha, S Apostolopoulos, ...
IEEE transactions on medical imaging 38 (8), 1858-1874, 2019
Prediction of individual disease conversion in early AMD using artificial intelligence
U Schmidt-Erfurth, SM Waldstein, S Klimscha, A Sadeghipour, X Hu, ...
Investigative ophthalmology & visual science 59 (8), 3199-3208, 2018
Machine learning to analyze the prognostic value of current imaging biomarkers in neovascular age-related macular degeneration
U Schmidt-Erfurth, H Bogunovic, A Sadeghipour, T Schlegl, G Langs, ...
Ophthalmology Retina 2 (1), 24-30, 2018
A view of the current and future role of optical coherence tomography in the management of age-related macular degeneration
U Schmidt-Erfurth, S Klimscha, SM Waldstein, H Bogunović
Eye 31 (1), 26-44, 2017
Prediction of anti-VEGF treatment requirements in neovascular AMD using a machine learning approach
H Bogunović, SM Waldstein, T Schlegl, G Langs, A Sadeghipour, X Liu, ...
Investigative ophthalmology & visual science 58 (7), 3240-3248, 2017
Exploiting epistemic uncertainty of anatomy segmentation for anomaly detection in retinal OCT
P Seeböck, JI Orlando, T Schlegl, SM Waldstein, H Bogunović, ...
IEEE transactions on medical imaging 39 (1), 87-98, 2019
Characterization of drusen and hyperreflective foci as biomarkers for disease progression in age-related macular degeneration using artificial intelligence in optical coherence …
SM Waldstein, WD Vogl, H Bogunovic, A Sadeghipour, S Riedl, ...
JAMA ophthalmology 138 (7), 740-747, 2020
Machine learning of the progression of intermediate age-related macular degeneration based on OCT imaging
H Bogunović, A Montuoro, M Baratsits, MG Karantonis, SM Waldstein, ...
Investigative ophthalmology & visual science 58 (6), BIO141-BIO150, 2017
Application of automated quantification of fluid volumes to anti–VEGF therapy of neovascular age-related macular degeneration
U Schmidt-Erfurth, WD Vogl, LM Jampol, H Bogunović
Ophthalmology 127 (9), 1211-1219, 2020
Joint retinal layer and fluid segmentation in OCT scans of eyes with severe macular edema using unsupervised representation and auto-context
A Montuoro, SM Waldstein, BS Gerendas, U Schmidt-Erfurth, ...
Biomedical optics express 8 (3), 1874-1888, 2017
Unsupervised identification of disease marker candidates in retinal OCT imaging data
P Seeböck, SM Waldstein, S Klimscha, H Bogunovic, T Schlegl, ...
IEEE transactions on medical imaging 38 (4), 1037-1047, 2018
Automated segmentation of cerebral vasculature with aneurysms in 3DRA and TOF‐MRA using geodesic active regions: an evaluation study
H Bogunović, JM Pozo, MC Villa‐Uriol, CBLM Majoie, R van den Berg, ...
Medical physics 38 (1), 210-222, 2011
Three-dimensional automated choroidal volume assessment on standard spectral-domain optical coherence tomography and correlation with the level of diabetic macular edema
BS Gerendas, SM Waldstein, C Simader, G Deak, B Hajnajeeb, L Zhang, ...
American journal of ophthalmology 158 (5), 1039-1048. e1, 2014
Anatomical labeling of the circle of willis using maximum a posteriori probability estimation
H Bogunović, JM Pozo, R Cárdenes, L San Román, AF Frangi
IEEE transactions on medical imaging 32 (9), 1587-1599, 2013
Patient-specific computational hemodynamics of intracranial aneurysms from 3D rotational angiography and CT angiography: an in vivo reproducibility study
AJ Geers, I Larrabide, AG Radaelli, H Bogunovic, M Kim, ...
American Journal of Neuroradiology 32 (3), 581-586, 2011
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