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Hrvoje Bogunovic
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- affiliation: Medical University of Vienna, Austria
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2020 – today
- 2024
- [j25]Guilherme Aresta
, Teresa Araújo
Interactive Deep Learning-Based Retinal OCT Layer Segmentation Refinement by Regressing Translation Maps. IEEE Access 12: 47009-47023 (2024) - [j24]José Morano
RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification. Expert Syst. Appl. 256: 124970 (2024) - [j23]Philipp Seeböck
Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection. Medical Image Anal. 93: 103104 (2024) - [j22]Robbie Holland, Oliver Leingang
Metadata-enhanced contrastive learning from retinal optical coherence tomography images. Medical Image Anal. 97: 103296 (2024) - [j21]José Morano
Deep Multimodal Fusion of Data With Heterogeneous Dimensionality via Projective Networks. IEEE J. Biomed. Health Informatics 28(4): 2235-2246 (2024) - [j20]Coen de Vente
AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. IEEE Trans. Medical Imaging 43(1): 542-557 (2024) - [j19]Dmitrii A. Lachinov
Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data. IEEE Trans. Medical Imaging 43(3): 1165-1179 (2024) - [j18]Taha Emre
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs. IEEE Trans. Medical Imaging 43(9): 3200-3210 (2024) - [j17]Arunava Chakravarty
Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From OCT Volumes. IEEE Trans. Medical Imaging 43(9): 3224-3239 (2024) - [c28]Emese Sükei, Elisabeth Rumetshofer, Niklas Schmidinger, Andreas Mayr, Ursula Schmidt-Erfurth, Günter Klambauer, Hrvoje Bogunovic:
Improving Clinical Predictions with Multi-Modal Pre-training in Retinal Imaging. ISBI 2024: 1-5 - [c27]Markus Unterdechler, Botond Fazekas, Guilherme Aresta, Hrvoje Bogunovic:
Comparative Analysis of Data Augmentation for Retinal OCT Biomarker Segmentation. OMIA@MICCAI 2024: 94-103 - [c26]Taha Emre, Arunava Chakravarty, Dmitry A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations. MICCAI (12) 2024: 196-206 - [c25]Arunava Chakravarty, Taha Emre, Dmitry A. Lachinov, Antoine Rivail, Hendrik P. N. Scholl, Lars Fritsche, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT. MICCAI (5) 2024: 273-283 - [c24]Chengzhi Shen, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Paul Hager, Robbie Holland:
Spatiotemporal Representation Learning for Short and Long Medical Image Time Series. MICCAI (11) 2024: 656-666 - [i38]José Morano, Guilherme Aresta, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Deep Multimodal Fusion of Data with Heterogeneous Dimensionality via Projective Networks. CoRR abs/2402.01311 (2024) - [i37]José Morano, Guilherme Aresta, Hrvoje Bogunovic:
RRWNet: Recursive Refinement Network for Effective Retinal Artery/Vein Segmentation and Classification. CoRR abs/2402.03166 (2024) - [i36]Chengzhi Shen, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Paul Hager, Robbie Holland:
Spatiotemporal Representation Learning for Short and Long Medical Image Time Series. CoRR abs/2403.07513 (2024) - [i35]Taha Emre, Arunava Chakravarty, Dmitrii A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Time-Equivariant Contrastive Learning for Degenerative Disease Progression in Retinal OCT. CoRR abs/2405.09404 (2024) - [i34]Robbie Holland, Rebecca Kaye, Ahmed M. Hagag, Oliver Leingang, Thomas R. P. Taylor, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Daniel Rueckert, Andrew J. Lotery, Sobha Sivaprasad, Martin J. Menten:
Deep-learning-based clustering of OCT images for biomarker discovery in age-related macular degeneration (Pinnacle study report 4). CoRR abs/2405.09549 (2024) - [i33]Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip Müller, Hendrik P. N. Scholl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten:
Specialist vision-language models for clinical ophthalmology. CoRR abs/2407.08410 (2024) - [i32]Arunava Chakravarty, Taha Emre, Dmitry A. Lachinov, Antoine Rivail, Hendrik P. N. Scholl, Lars Fritsche, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT. CoRR abs/2409.20195 (2024) - 2023
- [j16]Junde Wu
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. Medical Image Anal. 90: 102938 (2023) - [j15]Botond Fazekas
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 - [c22]Taha Emre, Marzieh Oghbaie, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report. OMIA@MICCAI 2023: 132-141 - [c21]Marzieh Oghbaie
Transformer-Based End-to-End Classification of Variable-Length Volumetric Data. MICCAI (6) 2023: 358-367 - [c20]José Morano
Self-supervised Learning via Inter-modal Reconstruction and Feature Projection Networks for Label-Efficient 3D-to-2D Segmentation. MICCAI (4) 2023: 589-599 - [c19]Robbie Holland, Oliver Leingang, Christopher Holmes, Philipp Anders, Rebecca Kaye, Sophie Riedl, Johannes C. Paetzold, Ivan Ezhov, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad
Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration. MICCAI (7) 2023: 724-734 - [i31]Robbie Holland, Oliver Leingang, Christopher Holmes, Philipp Anders, Johannes C. Paetzold, Rebecca Kaye, Sophie Riedl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Lars Fritsche, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten:
Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration. CoRR abs/2301.04525 (2023) - [i30]Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. CoRR abs/2302.01738 (2023) - [i29]Arunava Chakravarty, Taha Emre
Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT. CoRR abs/2304.08439 (2023) - [i28]Huihui Fang, Fei Li, Junde Wu, Huazhu Fu, Xu Sun, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation. CoRR abs/2305.07816 (2023) - [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) - [i26]Marzieh Oghbaie, Teresa Araujo, Taha Emre, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Transformer-based end-to-end classification of variable-length volumetric data. CoRR abs/2307.06666 (2023) - [i25]Taha Emre, Marzieh Oghbaie, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT. CoRR abs/2307.13865 (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
- [j14]Simon Schürer-Waldheim
Robust Fovea Detection in Retinal OCT Imaging Using Deep Learning. IEEE J. Biomed. Health Informatics 26(8): 3927-3937 (2022) - [j13]Huihui Fang
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images. IEEE Trans. Medical Imaging 41(10): 2828-2847 (2022) - [c18]Botond Fazekas, Guilherme Aresta, Dmitry A. Lachinov, Sophie Riedl, Julia Mai
SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors. MICCAI (8) 2022: 320-329 - [c17]Taha Emre
TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes. MICCAI (2) 2022: 625-634 - [i22]Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Lexing Huang, Qinji Yu, Sifan Song, Xingxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu:
GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. CoRR abs/2202.06511 (2022) - [i21]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. CoRR abs/2202.07983 (2022) - [i20]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Jaemin Son, Shuang Yu, Menglu Zhang, Chenglang Yuan, Cheng Bian, Baiying Lei, Benjian Zhao, Xinxing Xu, Shaohua Li, Francisco Fumero, José F. Sigut, Haidar Almubarak, Yakoub Bazi, Yuanhao Guo, Yating Zhou, Ujjwal Baid, Shubham Innani, Tianjiao Guo, Jie Yang, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment. CoRR abs/2202.08994 (2022) - [i19]Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic:
Deep Dirichlet uncertainty for unsupervised out-of-distribution detection of eye fundus photographs in glaucoma screening. CoRR abs/2202.12634 (2022) - [i18]Taha Emre, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes. CoRR abs/2206.15282 (2022) - [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) - [i16]Robbie Holland, Oliver Leingang, Hrvoje Bogunovic, Sophie Riedl, Lars Fritsche, Toby Prevost, Hendrik P. N. Scholl, Ursula Schmidt-Erfurth, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten:
Metadata-enhanced contrastive learning from retinal optical coherence tomography images. CoRR abs/2208.02529 (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
- [c16]Osama N. Hassan, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Andrew J. Lotery, Daniel Rueckert:
Deep Learning Prediction Of Age And Sex From Optical Coherence Tomography. ISBI 2021: 238-242 - [c15]Dmitrii A. Lachinov
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) - 2020
- [j12]José Ignacio Orlando
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Anal. 59 (2020) - [j11]David Romo-Bucheli
End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging. IEEE J. Biomed. Health Informatics 24(12): 3456-3465 (2020) - [j10]Philipp Seeböck
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. IEEE Trans. Medical Imaging 39(1): 87-98 (2020) - [j9]Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth:
Correction to "Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT". IEEE Trans. Medical Imaging 39(4): 1291 (2020) - [i12]Huazhu Fu, Fei Li, Xu Sun, Xingxing Cao, Jingan Liao, José Ignacio Orlando, Xing Tao, Yuexiang Li, Shihao Zhang, Mingkui Tan, Chenglang Yuan, Cheng Bian, Ruitao Xie, Jiongcheng Li, Xiaomeng Li, Jing Wang, Le Geng, Panming Li, Huaying Hao, Jiang Liu, Yan Kong, Yongyong Ren, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. CoRR abs/2005.02258 (2020)
2010 – 2019
- 2019
- [j8]Philipp Seeböck
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. IEEE Trans. Medical Imaging 38(4): 1037-1047 (2019) - [j7]Hrvoje Bogunovic
RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge. IEEE Trans. Medical Imaging 38(8): 1858-1874 (2019) - [c14]Philipp Seeböck, David Romo-Bucheli, Sebastian M. Waldstein, Hrvoje Bogunovic
Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation. ISBI 2019: 605-609 - [c13]José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunovic
U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans. ISBI 2019: 1441-1445 - [c12]José Ignacio Orlando, Anna Breger
An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans. OMIA@MICCAI 2019: 26-34 - [c11]Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig, Zhichao Wu, Hrvoje Bogunovic:
Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning. PRIME@MICCAI 2019: 44-52 - [c10]Rhona Asgari, Sebastian M. Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
U-Net with Spatial Pyramid Pooling for Drusen Segmentation in Optical Coherence Tomography. OMIA@MICCAI 2019: 77-85 - [c9]Rhona Asgari, José Ignacio Orlando, Sebastian M. Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Multiclass Segmentation as Multitask Learning for Drusen Segmentation in Retinal Optical Coherence Tomography. MICCAI (1) 2019: 192-200 - [i11]José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunovic, Sophie Klimscha, Christoph Grechenig, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth:
U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans. CoRR abs/1901.07929 (2019) - [i10]Philipp Seeböck, David Romo-Bucheli, Sebastian M. Waldstein, Hrvoje Bogunovic, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth:
Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation. CoRR abs/1901.08379 (2019) - [i9]Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth:
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. CoRR abs/1905.12806 (2019) - [i8]Rhona Asgari, José Ignacio Orlando, Sebastian M. Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography. CoRR abs/1906.07679 (2019) - [i7]José Ignacio Orlando, Anna Breger, Hrvoje Bogunovic, Sophie Riedl, Bianca S. Gerendas, Martin Ehler, Ursula Schmidt-Erfurth:
An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans. CoRR abs/1908.00764 (2019) - [i6]José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton van den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yong-Li Xu, Pengshuai Yin, Fei Li, Xiulan Zhang, Yanwu Xu, Hrvoje Bogunovic:
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. CoRR abs/1910.03667 (2019) - [i5]Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig, Zhichao Wu, Hrvoje Bogunovic:
Modeling Disease Progression In Retinal OCTs With Longitudinal Self-Supervised Learning. CoRR abs/1910.09420 (2019) - [i4]Rhona Asgari, Sebastian M. Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
U-Net with spatial pyramid pooling for drusen segmentation in optical coherence tomography. CoRR abs/1912.05404 (2019) - 2018
- [c8]Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M. Full, Hrvoje Bogunovic
How to Exploit Weaknesses in Biomedical Challenge Design and Organization. MICCAI (4) 2018: 388-395 - [e2]Danail Stoyanov, Zeike Taylor, Francesco Ciompi, Yanwu Xu, Anne L. Martel, Lena Maier-Hein, Nasir M. Rajpoot, Jeroen van der Laak, Mitko Veta, Stephen J. McKenna
Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings. Lecture Notes in Computer Science 11039, Springer 2018, ISBN 978-3-030-00948-9 [contents] - [i3]Thomas Schlegl, Hrvoje Bogunovic, Sophie Klimscha, Philipp Seeböck, Amir Sadeghipour, Bianca S. Gerendas, Sebastian M. Waldstein, Georg Langs, Ursula Schmidt-Erfurth:
Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images. CoRR abs/1805.03278 (2018) - [i2]Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider:
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR abs/1806.02051 (2018) - [i1]Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, René Donner, Ursula Schmidt-Erfurth, Georg Langs:
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. CoRR abs/1810.13404 (2018) - 2017
- [e1]M. Jorge Cardoso, Tal Arbel, Andrew Melbourne, Hrvoje Bogunovic, Pim Moeskops, Xinjian Chen, Ernst Schwartz, Mona Kathryn Garvin, Emma C. Robinson, Emanuele Trucco
Fetal, Infant and Ophthalmic Medical Image Analysis - International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10554, Springer 2017, ISBN 978-3-319-67560-2 [contents] - 2014
- [j6]Hrvoje Bogunovic
Multi-Surface and Multi-Field Co-Segmentation of 3-D Retinal Optical Coherence Tomography. IEEE Trans. Medical Imaging 33(12): 2242-2253 (2014) - 2013
- [j5]Hrvoje Bogunovic
Anatomical Labeling of the Circle of Willis Using Maximum A Posteriori Probability Estimation. IEEE Trans. Medical Imaging 32(9): 1587-1599 (2013) - 2012
- [b1]Hrvoje Bogunovic:
Geometric modeling and characterization of the circle of willis. Pompeu Fabra University, Spain, 2012 - [j4]Ignacio Larrabide, Maria-Cruz Villa-Uriol
AngioLab - A software tool for morphological analysis and endovascular treatment planning of intracranial aneurysms. Comput. Methods Programs Biomed. 108(2): 806-819 (2012) - [j3]Hrvoje Bogunovic
Automated landmarking and geometric characterization of the carotid siphon. Medical Image Anal. 16(4): 889-903 (2012) - 2011
- [j2]Rubén Cárdenes, José María Pozo
Automatic Aneurysm Neck Detection Using Surface Voronoi Diagrams. IEEE Trans. Medical Imaging 30(10): 1863-1876 (2011) - [c7]Hrvoje Bogunovic
Anatomical Labeling of the Anterior Circulation of the Circle of Willis Using Maximum a Posteriori Classification. MICCAI (3) 2011: 330-337 - [c6]Rubén Cárdenes, José-Luis Díez, Ignacio Larrabide, Hrvoje Bogunovic
3D Modeling of Coronary Artery Bifurcations from CTA and Conventional Coronary Angiography. MICCAI (3) 2011: 395-402 - 2010
- [c5]Rubén Cárdenes, Hrvoje Bogunovic
Fast 3D centerline computation for tubular structures by front collapsing and fast marching. ICIP 2010: 4109-4112
2000 – 2009
- 2009
- [j1]Michiel Schaap, Coert Metz, Theo van Walsum
Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms. Medical Image Anal. 13(5): 701-714 (2009) - [c4]Arjan J. Geers, Ignacio Larrabide, Alessandro Radaelli, Hrvoje Bogunovic
Reproducibility of Image-Based Computational Hemodynamics in Intracranial Aneurysms: Comparison of CTA and 3DRA. ISBI 2009: 610-613 - 2008
- [c3]Hrvoje Bogunovic
Image intensity standardization in 3D rotational angiography and its application to vascular segmentation. Medical Imaging: Image Processing 2008: 691419 - 2006
- [c2]Hrvoje Bogunovic
Blood Flow and Velocity Estimation Based on Vessel Transit Time by Combining 2D and 3D X-Ray Angiography. MICCAI (2) 2006: 117-124 - 2005
- [c1]Hrvoje Bogunovic
Denoising of Time-Density Data in Digital Subtraction Angiography. SCIA 2005: 1157-1166
Coauthor Index
Dmitry A. Lachinov
aka: Dmitrii A. Lachinov
aka: Dmitrii A. Lachinov
[j25] [j23] [j22] [j21] [j19] [j18] [j17] [c28] [c26] [c25] [c24] [i38] [i36] [i35] [i34] [i33] [i32] [j15] [c22] [c21] [c20] [c19] [i31] [i29] [i27] [i26] [i25] [i23] [j14] [c18] [c17] [i18] [i17] [i16] [i15] [i14] [c16] [c15] [i13] [j11] [j10] [j9] [j8] [j7] [c14] [c13] [c12] [c11] [c10] [c9] [i11] [i10] [i9] [i8] [i7] [i5] [i4] [i3] [i1]
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