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2020 – today
- 2023
[j5]Elizaveta Lavrova
, Zohaib Salahuddin, Henry C. Woodruff, Mohamed Kassem, Robin Camarasa, Anja G. van der Kolk, Paul H. J. Nederkoorn, Daniel Bos, Jeroen Hendrikse, M. Eline Kooi, Philippe Lambin:
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, M. Eline Kooi, Jeroen Hendrikse, Paul H. J. Nederkoorn, Daniel Bos, Marleen de Bruijne:
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, Daniel Bos, Marion Smits, Frederik Barkhof, Wiro J. Niessen, Stefan Klein, Esther E. Bron:
Computer-aided diagnosis and prediction in brain disorders. CoRR abs/2206.14683 (2022) - 2021
- [j3]Frank J. H. Gijsen, Bas Vis, Hilary E. Barrett, Amir Abbas Zadpoor, Hence J. Verhagen, Daniel Bos, Anton F. W. van der Steen, Ali Cagdas Akyildiz:
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, Jeroen Hendrikse, Paul H. J. Nederkoorn, M. Eline Kooi, Aad van der Lugt, Marleen de Bruijne:
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, Marleen de Bruijne:
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, Daniel Bos, Henri A. Vrooman, Ryan L. Muetzel, Albert Hofman, Serge A. R. B. Rombouts, Aad van der Lugt, Wiro J. Niessen, Mohammad Arfan Ikram, Meike W. Vernooij:
Patterns of functional connectivity in an aging population: The Rotterdam Study. NeuroImage 189: 432-444 (2019) - [j1]Jens Petersen, Andrés M. Arias Lorza, Raghavendra Selvan, Daniel Bos, Aad van der Lugt, Jesper Johannes Holst Pedersen, Mads Nielsen, Marleen de Bruijne:
Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies. IEEE Trans. Medical Imaging 38(7): 1559-1568 (2019) - 2017
- [c1]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. 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)
Coauthor Index
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