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 (MICCAI (3), 2017)

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)

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)

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 (UNSURE/GRAIL@MICCAI, 2020)

Uncertainty-Based Segmentation of Myocardial Infarction Areas on Cardiac MR Images. - Robin Camarasa; Alexis Faure; Thomas Crozier; Daniel Bos; Marleen de Bruijne (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

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)

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)

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)

Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation. - Robin Camarasa; Hoel Kervadec; Daniel Bos; Marleen de Bruijne (MIDL, 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 001; Esther E. Bron (CoRR, 2022)

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)

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., 2023)

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 (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

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 (CoRR, 2025)