Daniel Bos

According to our database, Daniel Bos authored at least 16 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Sector-Based Radiomic Approach to Characterize Carotid Plaque Calcification Dynamics from Computer Tomography Angiography.

Marina De Santis, Aikaterini Tziotziou, Daniel Bos, Luca T. Mainardi, Valentina D. A. Corino, Ali Cagdas Akyildiz, Anna Corti

Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies, 2026

2025

The role of mechanical wall stress and wall shear stress on coronary artery disease.

Aikaterini Tziotziou, Amalia de Juana Fabra, Ayla Hoogendoorn, Suze-Anne Korteland, Aad van der Lugt, Antonius F. W. van der Steen, Daniel Bos, Jolanda J. Wentzel, Ali Cagdas Akyildiz

Comput. Methods Programs Biomed., 2025

MyDigiTwin: A privacy-preserving framework for personalized cardiovascular risk prediction and scenario exploration.

Héctor Cadavid, Hyunho Mo, Bauke Arends, Katarzyna Dziopa, Esther E. Bron, Daniel Bos, Sonja Georgievska, Pim van der Harst

Comput. Biol. Medicine, 2025

2024

Coronary Artery Calcium Scoring from Non-contrast Cardiac CT Using Deep Learning with External Validation.

Hyunho Mo, Daniel Bos, Maryam Kavousi, Maarten J. G. Leening, Esther E. Bron

Proceedings of the Statistical Atlases and Computational Models of the Heart. Workshop, 2024

2023

Nested star-shaped objects segmentation using diameter annotations.

Robin Camarasa, Hoel Kervadec, M. Eline Kooi, Jeroen Hendrikse, Paul H. J. Nederkoorn, Daniel Bos, Marleen de Bruijne

Medical Image Anal., December, 2023

UR-CarA-Net: A Cascaded Framework With Uncertainty Regularization for Automated Segmentation of Carotid Arteries on Black Blood MR Images.

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

IEEE Access, 2023

2022

Computer-aided diagnosis and prediction in brain disorders.

Vikram Venkatraghavan, Sebastian R. van der Voort, Daniel Bos, Marion Smits, Frederik Barkhof, Wiro J. Niessen, Stefan Klein, Esther E. Bron

CoRR, 2022

Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation.

Robin Camarasa, Hoel Kervadec, Daniel Bos, Marleen de Bruijne

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021

Morphometric and Mechanical Analyses of Calcifications and Fibrous Plaque Tissue in Carotid Arteries for Plaque Rupture Risk Assessment.

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

IEEE Trans. Biomed. Eng., 2021

A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation.

Robin Camarasa, Daniel Bos, Jeroen Hendrikse, Paul H. J. Nederkoorn, M. Eline Kooi, Aad van der Lugt, Marleen de Bruijne

CoRR, 2021

Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT.

Gerda Bortsova, Daniel Bos, Florian Dubost, Meike W. Vernooij, M. Kamran Ikram, Gijs van Tulder, Marleen de Bruijne

CoRR, 2021

2020

Uncertainty-Based Segmentation of Myocardial Infarction Areas on Cardiac MR Images.

Robin Camarasa, Alexis Faure, Thomas Crozier, Daniel Bos, Marleen de Bruijne

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation.

Robin Camarasa, Daniel Bos, Jeroen Hendrikse, Paul H. J. Nederkoorn, M. Eline Kooi, Aad van der Lugt, Marleen de Bruijne

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

2019

Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies.

Jens Petersen, Andrés M. Arias Lorza, Raghavendra Selvan, Daniel Bos, Aad van der Lugt, Jesper Johannes Holst Pedersen, Mads Nielsen, Marleen de Bruijne

IEEE Trans. Medical Imaging, 2019

Patterns of functional connectivity in an aging population: The Rotterdam Study.

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

NeuroImage, 2019

2017

Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks.

Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017