Hrvoje Bogunović

About Hrvoje Bogunović

Hrvoje Bogunović, With an exceptional h-index of 36 and a recent h-index of 32 (since 2020), a distinguished researcher at Medizinische Universität Wien, specializes in the field of Medical Image Analysis, Machine Learning, Data Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

AI-based support for optical coherence tomography in age-related macular degeneration

Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection

Analysing early changes of photoreceptor layer thickness following surgery in eyes with epiretinal membranes

Interactive deep learning-based retinal OCT layer segmentation refinement by regressing translation maps

Spatiotemporal Representation Learning for Short and Long Medical Image Time Series

macular degeneration: Pinnacle study report 2.

An automated comparative analysis of the exudative biomarkers in neovascular age-related macular degeneration, The RAP Study: Report 6

Predicting the individual risk of AMD progression from retinal OCT with intra-subject temporal consistency

Hrvoje Bogunović Information

University

Position

Austria

Citations(all)

6089

Citations(since 2020)

4965

Cited By

2557

hIndex(all)

36

hIndex(since 2020)

32

i10Index(all)

87

i10Index(since 2020)

73

Email

University Profile Page

Google Scholar

Hrvoje Bogunović Skills & Research Interests

Medical Image Analysis

Machine Learning

Data Science

Top articles of Hrvoje Bogunović

AI-based support for optical coherence tomography in age-related macular degeneration

2024/4/8

Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection

Medical Image Analysis

2024/2/8

Philipp Seeböck
Philipp Seeböck

H-Index: 10

Hrvoje Bogunović
Hrvoje Bogunović

H-Index: 22

Analysing early changes of photoreceptor layer thickness following surgery in eyes with epiretinal membranes

Eye

2023/10/24

Interactive deep learning-based retinal OCT layer segmentation refinement by regressing translation maps

IEEE Access

2024/3/18

Teresa Araújo
Teresa Araújo

H-Index: 4

Hrvoje Bogunović
Hrvoje Bogunović

H-Index: 22

Spatiotemporal Representation Learning for Short and Long Medical Image Time Series

arXiv preprint arXiv:2403.07513

2024/3/12

An automated comparative analysis of the exudative biomarkers in neovascular age-related macular degeneration, The RAP Study: Report 6

American Journal of Ophthalmology

2024/2/29

Predicting the individual risk of AMD progression from retinal OCT with intra-subject temporal consistency

2024/2/13

RRWNet: Recursive Refinement Network for Effective Retinal Artery/Vein Segmentation and Classification

arXiv preprint arXiv:2402.03166

2024/2/5

José Morano
José Morano

H-Index: 1

Hrvoje Bogunović
Hrvoje Bogunović

H-Index: 22

Open fundus photograph dataset with pathologic myopia recognition and anatomical structure annotation

Scientific Data

2024/1/20

Deep learning-based prediction of individual geographic atrophy progression from a single baseline OCT

Ophthalmology Science

2024/1/17

Deep Multimodal Fusion of Data with Heterogeneous Dimensionality via Projective Networks

IEEE Journal of Biomedical and Health Informatics

2024/1/11

José Morano
José Morano

H-Index: 1

Hrvoje Bogunović
Hrvoje Bogunović

H-Index: 22

A Systematic Prospective Comparison of Fluid Volume Evaluation across OCT Devices Used in Clinical Practice

Ophthalmology Science

2024/5/1

3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs

arXiv preprint arXiv:2312.16980

2023/12/28

Morph-SSL: Self-Supervision with Longitudinal Morphing for Forecasting AMD Progression from OCT Volumes

arXiv preprint arXiv:2304.08439

2023/4/17

Long-term effect of fluid volumes during the maintenance phase in neovascular age-related macular degeneration: results from Fight Retinal Blindness!

Canadian Journal of Ophthalmology

2023/11/18

Personalized treatment supported by automated quantitative fluid analysis in active neovascular age-related macular degeneration (nAMD)—a phase III, prospective, multicentre …

Eye

2023/5

Clinical validation for automated geographic atrophy monitoring on OCT under complement inhibitory treatment

Scientific Reports

2023/4/29

Disease activity of geographic atrophy in fellow eyes of the pegcetacoplan phase III studies measured by automated AI-based OCT biomarker quantifications

Investigative Ophthalmology & Visual Science

2023/6/1

Automated deep learning-based AMD detection and staging in real-world OCT datasets (PINNACLE study report 5)

Scientific Reports

2023/11/9

See List of Professors in Hrvoje Bogunović University(Medizinische Universität Wien)

Co-Authors

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