Hrvoje Bogunovic
Orcid: 0000-0002-9168-0894Affiliations:
- Medical University of Vienna, Austria
According to our database1,
Hrvoje Bogunovic
authored at least 63 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Deep Multimodal Fusion of Data With Heterogeneous Dimensionality via Projective Networks.
IEEE J. Biomed. Health Informatics, April, 2024
Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data.
IEEE Trans. Medical Imaging, March, 2024
IEEE Trans. Medical Imaging, January, 2024
CoRR, 2024
RRWNet: Recursive Refinement Network for Effective Retinal Artery/Vein Segmentation and Classification.
CoRR, 2024
Interactive Deep Learning-Based Retinal OCT Layer Segmentation Refinement by Regressing Translation Maps.
IEEE Access, 2024
2023
Medical Image Anal., December, 2023
Segmentation of Bruch's Membrane in Retinal OCT With AMD Using Anatomical Priors and Uncertainty Quantification.
IEEE J. Biomed. Health Informatics, 2023
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs.
CoRR, 2023
CoRR, 2023
PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation.
CoRR, 2023
Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT.
CoRR, 2023
Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration.
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Self-supervised Learning via Inter-modal Reconstruction and Feature Projection Networks for Label-Efficient 3D-to-2D Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report.
Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023
2022
IEEE Trans. Medical Imaging, 2022
IEEE J. Biomed. Health Informatics, 2022
Metadata-enhanced contrastive learning from retinal optical coherence tomography images.
CoRR, 2022
Deep Dirichlet uncertainty for unsupervised out-of-distribution detection of eye fundus photographs in glaucoma screening.
CoRR, 2022
CoRR, 2022
CoRR, 2022
SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT.
CoRR, 2021
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Correction to "Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT".
IEEE Trans. Medical Imaging, 2020
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT.
IEEE Trans. Medical Imaging, 2020
End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging.
IEEE J. Biomed. Health Informatics, 2020
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs.
Medical Image Anal., 2020
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.
CoRR, 2020
2019
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data.
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs.
CoRR, 2019
Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019
U-Net with Spatial Pyramid Pooling for Drusen Segmentation in Optical Coherence Tomography.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019
Multiclass Segmentation as Multitask Learning for Drusen Segmentation in Retinal Optical Coherence Tomography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions.
CoRR, 2018
Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images.
CoRR, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2014
Multi-Surface and Multi-Field Co-Segmentation of 3-D Retinal Optical Coherence Tomography.
IEEE Trans. Medical Imaging, 2014
2013
Anatomical Labeling of the Circle of Willis Using Maximum A Posteriori Probability Estimation.
IEEE Trans. Medical Imaging, September, 2013
2012
Medical Image Anal., 2012
AngioLab - A software tool for morphological analysis and endovascular treatment planning of intracranial aneurysms.
Comput. Methods Programs Biomed., 2012
2011
IEEE Trans. Medical Imaging, 2011
3D Modeling of Coronary Artery Bifurcations from CTA and Conventional Coronary Angiography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Anatomical Labeling of the Anterior Circulation of the Circle of Willis Using Maximum a Posteriori Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
Fast 3D centerline computation for tubular structures by front collapsing and fast marching.
Proceedings of the International Conference on Image Processing, 2010
2009
Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms.
Medical Image Anal., 2009
Reproducibility of Image-Based Computational Hemodynamics in Intracranial Aneurysms: Comparison of CTA and 3DRA.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
Image intensity standardization in 3D rotational angiography and its application to vascular segmentation.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
2006
Blood Flow and Velocity Estimation Based on Vessel Transit Time by Combining 2D and 3D X-Ray Angiography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
2005
Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005