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Daniel Bos
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2020 – today
- 2023
- [j5]Elizaveta Lavrova
, Zohaib Salahuddin
UR-CarA-Net: A Cascaded Framework With Uncertainty Regularization for Automated Segmentation of Carotid Arteries on Black Blood MR Images. IEEE Access 11: 26637-26651 (2023) - [j4]Robin Camarasa, Hoel Kervadec
Nested star-shaped objects segmentation using diameter annotations. Medical Image Anal. 90: 102934 (2023) - 2022
- [c4]Robin Camarasa, Hoel Kervadec, Daniel Bos, Marleen de Bruijne:
Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation. MIDL 2022: 188-198 - [i4]Vikram Venkatraghavan, Sebastian R. van der Voort
Computer-aided diagnosis and prediction in brain disorders. CoRR abs/2206.14683 (2022) - 2021
- [j3]Frank J. H. Gijsen
Morphometric and Mechanical Analyses of Calcifications and Fibrous Plaque Tissue in Carotid Arteries for Plaque Rupture Risk Assessment. IEEE Trans. Biomed. Eng. 68(4): 1429-1438 (2021) - [i3]Gerda Bortsova, Daniel Bos, Florian Dubost, Meike W. Vernooij, M. Kamran Ikram, Gijs van Tulder, Marleen de Bruijne:
Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT. CoRR abs/2107.09442 (2021) - [i2]Robin Camarasa, Daniel Bos, Jeroen Hendrikse, Paul H. J. Nederkoorn, M. Eline Kooi, Aad van der Lugt, Marleen de Bruijne
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation. CoRR abs/2109.10702 (2021) - 2020
- [c3]Robin Camarasa, Daniel Bos
Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation. UNSURE/GRAIL@MICCAI 2020: 32-41 - [c2]Robin Camarasa, Alexis Faure, Thomas Crozier, Daniel Bos
Uncertainty-Based Segmentation of Myocardial Infarction Areas on Cardiac MR Images. M&Ms and EMIDEC/STACOM@MICCAI 2020: 385-391
2010 – 2019
- 2019
- [j2]Hazel I. Zonneveld, Raimon H. R. Pruim
Patterns of functional connectivity in an aging population: The Rotterdam Study. NeuroImage 189: 432-444 (2019) - [j1]Jens Petersen
Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies. IEEE Trans. Medical Imaging 38(7): 1559-1568 (2019) - 2017
- [c1]Gerda Bortsova
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. MICCAI (3) 2017: 356-364 - [i1]Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne:
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. CoRR abs/1706.01148 (2017)
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