Semiautomatic aortic endograft localization for postoperative evaluation of endovascular aneurysm treatment. - Marleen de Bruijne; Wiro J. Niessen; J. B. Antoine Maintz; Max A. Viergever (Image Processing, 2001)

Active-shape-model-based segmentation of abdominal aortic aneurysms in CTA images. - Marleen de Bruijne; Bram van Ginneken; Wiro J. Niessen; J. B. Antoine Maintz; Max A. Viergever (Image Processing, 2002)

Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images. - Marleen de Bruijne; Bram van Ginneken; Max A. Viergever; Wiro J. Niessen (IPMI, 2003)

Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images. - Marleen de Bruijne; Bram van Ginneken; Lambertus W. Bartels; Maarten J. van der Laan; Jan D. Blankensteijn; Wiro J. Niessen; Max A. Viergever (MICCAI (2), 2003)

Model-based segmentation of abdominal aortic aneurysms in CTA images. - Marleen de Bruijne; Bram van Ginneken; Wiro J. Niessen; Marco Loog; Max A. Viergever (Image Processing, 2003)

Interactive shape models. - Bram van Ginneken; Marleen de Bruijne; Marco Loog; Max A. Viergever (Image Processing, 2003)

Localization and Segmentation of Aortic Endografts using Marker Detection. - Marleen de Bruijne; Wiro J. Niessen; J. B. Antoine Maintz; Max A. Viergever (IEEE Trans. Medical Imaging, 2003)

Image Segmentation by Shape Particle Filtering. - Marleen de Bruijne; Mads Nielsen (ICPR (3), 2004)

Shape Particle Filtering for Image Segmentation. - Marleen de Bruijne; Mads Nielsen (MICCAI (1), 2004)

Interactive segmentation of abdominal aortic aneurysms in CTA images. - Marleen de Bruijne; Bram van Ginneken; Max A. Viergever; Wiro J. Niessen (Medical Image Anal., 2004)

A Pattern Classification Approach to Aorta Calcium Scoring in Radiographs. - Marleen de Bruijne (CVBIA, 2005)

Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images. - Lars A. Conrad-Hansen; Marleen de Bruijne; François Lauze; László B. Tankó; Mads Nielsen (CVBIA, 2005)

Multi-object Segmentation Using Shape Particles. - Marleen de Bruijne; Mads Nielsen (IPMI, 2005)

Shape regression for vertebra fracture quantification. - Michael Tillge Lund; Marleen de Bruijne; László B. Tankó; Mads Nielsen (Image Processing, 2005)

Shape Particle Guided Tissue Classification. - Marleen de Bruijne (CVPR Workshops, 2006)

A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images. - Lars A. Conrad-Hansen; Marleen de Bruijne; François Lauze; László B. Tankó; Mads Nielsen (Image Processing, 2006)

Semi-automatic detection of calcifications using nonlinear stretching on x-ray images. - Lars A. Conrad-Hansen; Marleen de Bruijne; Mads Nielsen; Maria Petrou (Computer-Aided Diagnosis, 2007)

Quantifying Calcification in the Lumbar Aorta on X-Ray Images. - Lars A. Conrad-Hansen; Marleen de Bruijne; François Lauze; László B. Tankó; Paola Pettersen; Qing He; Jianghong Chen; Claus Christiansen; Mads Nielsen (MICCAI (2), 2007)

A Family of Principal Component Analyses for Dealing with Outliers. - Juan Eugenio Iglesias; Marleen de Bruijne; Marco Loog; François Lauze; Mads Nielsen (MICCAI (2), 2007)

Vertebral fracture classification. - Marleen de Bruijne; Paola C. Pettersen; László B. Tankó; Mads Nielsen (Image Processing, 2007)

Toward automated detection and segmentation of aortic calcifications from radiographs. - François Lauze; Marleen de Bruijne (Image Processing, 2007)

Quantitative vertebral morphometry using neighbor-conditional shape models. - Marleen de Bruijne; Michael T. Lund; László B. Tankó; Paola Pettersen; Mads Nielsen (Medical Image Anal., 2007)

Supervised shape analysis for risk assessment in osteoporosis. - Marleen de Bruijne; Paola Pettersen (ISBI, 2008)

Weight Preserving Image Registration for Monitoring Disease Progression in Lung CT. - Vladlena Gorbunova; Pechin Lo; Haseem Ashraf; Asger Dirksen; Mads Nielsen; Marleen de Bruijne (MICCAI (2), 2008)

Texture Classification in Lung CT Using Local Binary Patterns. - Lauge Sørensen; Saher B. Shaker; Marleen de Bruijne (MICCAI (1), 2008)

Voxel classification based airway tree segmentation. - Pechin Lo; Marleen de Bruijne (Image Processing, 2008)

Integrating local voxel classification and global shape models for medical image segmentation. - Eva M. van Rikxoort; Marleen de Bruijne; Bram van Ginneken (Image Processing, 2008)

Multi-object tracking of human spermatozoa. - Lauge Sørensen; Jakob Østergaard; Peter Johansen; Marleen de Bruijne (Image Processing, 2008)

Special Issue on Tribute Workshop for Peter Johansen. - Mads Nielsen; Marleen de Bruijne; Camilla Jørgensen; Søren I. Olsen; Kim Steenstrup Pedersen; Jon Sporring (J. Math. Imaging Vis., 2008)

Bicycle chain shape models. - Stefan Sommer; Aditya Tatu; Chen Chen; D. R. Jurgensen; Marleen de Bruijne; Marco Loog; Mads Nielsen; François Lauze (CVPR Workshops, 2009)

Discriminative Shape Alignment. - Marco Loog; Marleen de Bruijne (IPMI, 2009)

Cerebellum Segmentation in MRI Using Atlas Registration and Local Multi-Scale Image Descriptors. - Fedde van der Lijn; Marleen de Bruijne; Yoo Young Hoogendam; Stefan Klein 001; Reinhard Hameeteman; Monique M. B. Breteler; Wiro J. Niessen (ISBI, 2009)

Dissimilarity representations in lung parenchyma classification. - Lauge Sørensen; Marleen de Bruijne (Computer-Aided Diagnosis, 2009)

Airway Tree Extraction with Locally Optimal Paths. - Pechin Lo; Jon Sporring; Jesper Johannes Holst Pedersen; Marleen de Bruijne (MICCAI (1), 2009)

Learning COPD Sensitive Filters in Pulmonary CT. - Lauge Sørensen; Pechin Lo; Haseem Ashraf; Jon Sporring; Mads Nielsen; Marleen de Bruijne (MICCAI (1), 2009)

Mass preserving registration for lung CT. - Vladlena Gorbunova; Pechin Lo; Martine Loeve; Harm A. Tiddens; Jon Sporring; Mads Nielsen; Marleen de Bruijne (Image Processing, 2009)

Geometries on Spaces of Treelike Shapes. - Aasa Feragen; François Lauze; Pechin Lo; Marleen de Bruijne; Mads Nielsen (ACCV (2), 2010)

Confidence of model based shape reconstruction from sparse data. - Nora Baka; Marleen de Bruijne; Johan H. C. Reiber; Wiro J. Niessen; Boudewijn P. F. Lelieveldt (ISBI, 2010)

Lung CT registration combining intensity, curves and surfaces. - Vladlena Gorbunova; Stanley Durrleman; Pechin Lo; Xavier Pennec; Marleen de Bruijne (ISBI, 2010)

Early diagnosis of dementia based on intersubject whole-brain dissimilarities. - Stefan Klein 001; Marco Loog; Fedde van der Lijn; Tom den Heijer; Alexander Hammers; Marleen de Bruijne; Aad van der Lugt; Robert P. W. Duin; Monique M. B. Breteler; Wiro J. Niessen (ISBI, 2010)

Vessel tree extraction using locally optimal paths. - Pechin Lo; Bram van Ginneken; Marleen de Bruijne (ISBI, 2010)

MACD: an imaging marker for cardiovascular disease. - Melanie Ganz; Marleen de Bruijne; Mads Nielsen (Computer-Aided Diagnosis, 2010)

Quantitative analysis of airway abnormalities in CT. - Jens Petersen; Pechin Lo; Mads Nielsen; Goutham Edula; Haseem Ashraf; Asger Dirksen; Marleen de Bruijne (Computer-Aided Diagnosis, 2010)

Prediction of Dementia by Hippocampal Shape Analysis. - Hakim C. Achterberg; Fedde van der Lijn; Tom den Heijer; Aad van der Lugt; Monique M. B. Breteler; Wiro J. Niessen; Marleen de Bruijne (MLMI, 2010)

Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung. - Mehrdad J. Gangeh; Lauge Sørensen; Saher B. Shaker; Mohamed S. Kamel; Marleen de Bruijne (MCV, 2010)

A Texton-Based Approach for the Classification of Lung Parenchyma in CT Images. - Mehrdad J. Gangeh; Lauge Sørensen; Saher B. Shaker; Mohamed S. Kamel; Marleen de Bruijne; Marco Loog (MICCAI (3), 2010)

Early Detection of Emphysema Progression. - Vladlena Gorbunova; Sander S. A. M. Jacobs; Pechin Lo; Asger Dirksen; Mads Nielsen; Alireza Bab-Hadiashar; Marleen de Bruijne (MICCAI (2), 2010)

Conditional Shape Models for Cardiac Motion Estimation. - Coert Metz; Nora Baka; Hortense A. Kirisli; Michiel Schaap; Theo van Walsum; Stefan Klein 001; Lisan Neefjes; Nico Mollet; Boudewijn P. F. Lelieveldt; Marleen de Bruijne (MICCAI (1), 2010)

Image Dissimilarity-Based Quantification of Lung Disease from CT. - Lauge Sørensen; Marco Loog; Pechin Lo; Haseem Ashraf; Asger Dirksen; Robert P. W. Duin; Marleen de Bruijne (MICCAI (1), 2010)

Dissimilarity-Based Multiple Instance Learning. - Lauge Sørensen; Marco Loog; David M. J. Tax; Wan-Jui Lee; Marleen de Bruijne; Robert P. W. Duin (SSPR/SPR, 2010)

Vessel-guided airway tree segmentation: A voxel classification approach. - Pechin Lo; Jon Sporring; Haseem Ashraf; Jesper Johannes Holst Pedersen; Marleen de Bruijne (Medical Image Anal., 2010)

Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns. - Lauge Sørensen; Saher B. Shaker; Marleen de Bruijne (IEEE Trans. Medical Imaging, 2010)

Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation. - Jens Petersen; Mads Nielsen; Pechin Lo; Zaigham Saghir; Asger Dirksen; Marleen de Bruijne (IPMI, 2011)

Dissimilarity-Based Classification of Anatomical Tree Structures. - Lauge Sørensen; Pechin Lo; Asger Dirksen; Jens Petersen; Marleen de Bruijne (IPMI, 2011)

Plaque characterization in ex vivo MRI evaluated by dense 3D correspondence with histology. - Arna van Engelen; Marleen de Bruijne; Stefan Klein 001; Hence J. M. Verhagen; Harald C. Groen; Jolanda J. Wentzel; Aad van der Lugt; Wiro J. Niessen (Computer-Aided Diagnosis, 2011)

Comparison of Shape Regression Methods under Landmark Position Uncertainty. - Nora Baka; Coert Metz; Michiel Schaap; Boudewijn P. F. Lelieveldt; Wiro J. Niessen; Marleen de Bruijne (MICCAI (2), 2011)

Improved Tissue Segmentation by Including an MR Acquisition Model. - Dirk H. J. Poot; Marleen de Bruijne; Meike W. Vernooij; Mohammad Arfan Ikram; Wiro J. Niessen (MBIA, 2011)

2D-3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models. - Nora Baka; Bart L. Kaptein; Marleen de Bruijne; Theo van Walsum; J. E. Giphart; Wiro J. Niessen; Boudewijn P. F. Lelieveldt (Medical Image Anal., 2011)

Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling. - Alessandro Crimi; Martin Lillholm; Mads Nielsen; Anarta Ghosh; Marleen de Bruijne; Erik B. Dam; Jon Sporring (IEEE Trans. Medical Imaging, 2011)

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. - Keelin Murphy; Bram van Ginneken; Joseph M. Reinhardt; Sven Kabus; Kai Ding 003; Xiang Deng; Kunlin Cao; Kaifang Du; Gary E. Christensen; Vincent Garcia; Tom Vercauteren; Nicholas Ayache; et al. (IEEE Trans. Medical Imaging, 2011)

Robust Shape Regression for Supervised Vessel Segmentation and its Application to Coronary Segmentation in CTA. - Michiel Schaap; Theo van Walsum; Lisan Neefjes; Coert Metz; Ermanno Capuano; Marleen de Bruijne; Wiro J. Niessen (IEEE Trans. Medical Imaging, 2011)

Supervised in-vivo plaque characterization incorporating class label uncertainty. - Arna van Engelen; Wiro J. Niessen; Stefan Klein 001; Harald C. Groen; Hence J. M. Verhagen; Jolanda J. Wentzel; Aad van der Lugt; Marleen de Bruijne (ISBI, 2012)

A computer aided detection system for cerebral microbleeds in brain MRI. - Babak Ghafaryasl; Fedde van der Lijn; Marielle Poels; Henri A. Vrooman; Mohammad Arfan Ikram; Wiro J. Niessen; Aad van der Lugt; Meike W. Vernooij; Marleen de Bruijne (ISBI, 2012)

Quantitative imaging biomarkers in neurologic disease: Population study perspective. - Wiro J. Niessen; Henri A. Vrooman; Renske de Boer; Fedde van der Lijn; Hakim C. Achterberg; Marcel Koek; Stefan Klein 001; Aad van der Lugt; Marleen de Bruijne; Mohammad Arfan Ikram; Meike W. Vernooij (ISBI, 2012)

Towards exaggerated emphysema stereotypes. - C. Chen; Lauge Sørensen; François Lauze; Christian Igel; Marco Loog; Aasa Feragen; Marleen de Bruijne; Mads Nielsen (Computer-Aided Diagnosis, 2012)

Carotid Artery Wall Segmentation by Coupled Surface Graph Cuts. - Andres Arias; Jens Petersen; Arna van Engelen; Hui Tang; Mariana Selwaness; Jacqueline C. M. Witteman; Aad van der Lugt; Wiro J. Niessen; Marleen de Bruijne (MCV, 2012)

A Hierarchical Scheme for Geodesic Anatomical Labeling of Airway Trees. - Aasa Feragen; Jens Petersen; Megan Owen; Pechin Lo; Laura H. Thomsen; Mathilde M. W. Wille; Asger Dirksen; Marleen de Bruijne (MICCAI (3), 2012)

Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach. - Annegreet van Opbroek; Mohammad Arfan Ikram; Meike W. Vernooij; Marleen de Bruijne (MLMI, 2012)

Towards a theory of statistical tree-shape analysis - Aasa Feragen; Pechin Lo; Marleen de Bruijne; Mads Nielsen; François Lauze (CoRR, 2012)

Distribution, Size, and Shape of Abdominal Aortic Calcified Deposits and Their Relationship to Mortality in Postmenopausal Women. - Melanie Ganz; Marleen de Bruijne; Erik B. Dam; Paola Pettersen; Morten Asser Karsdal; Claus Christiansen; Mads Nielsen (Int. J. Biomed. Imaging, 2012)

Mass preserving image registration for lung CT. - Vladlena Gorbunova; Jon Sporring; Pechin Lo; Martine Loeve; Harm A. Tiddens; Mads Nielsen; Asger Dirksen; Marleen de Bruijne (Medical Image Anal., 2012)

Automated measurement of local white matter lesion volume. - Fedde van der Lijn; Benjamin F. J. Verhaaren; Mohammad Arfan Ikram; Stefan Klein 001; Marleen de Bruijne; Henri A. Vrooman; Meike W. Vernooij; Alexander Hammers; Daniel Rueckert; Aad van der Lugt; Monique M. B. Breteler; Wiro J. Niessen (NeuroImage, 2012)

Statistical Shape Model-Based Femur Kinematics From Biplane Fluoroscopy. - Nora Baka; Marleen de Bruijne; Theo van Walsum; Bart L. Kaptein; J. E. Giphart; Michiel Schaap; Wiro J. Niessen; Boudewijn P. F. Lelieveldt (IEEE Trans. Medical Imaging, 2012)

Automated Brain Structure Segmentation Based on Atlas Registration and Appearance Models. - Fedde van der Lijn; Marleen de Bruijne; Stefan Klein 001; Tom den Heijer; Yoo Young Hoogendam; Aad van der Lugt; Monique M. B. Breteler; Wiro J. Niessen (IEEE Trans. Medical Imaging, 2012)

Extraction of Airways From CT (EXACT'09). - Pechin Lo; Bram van Ginneken; Joseph M. Reinhardt; Tarunashree Yavarna; Pim A. de Jong; Benjamin Irving; Catalin I. Fetita; Margarete Ortner; Romulo Pinho; Jan Sijbers; Marco Feuerstein; Anna Fabijanska; et al. (IEEE Trans. Medical Imaging, 2012)

Regression-Based Cardiac Motion Prediction From Single-Phase CTA. - Coert Metz; Nora Baka; Hortense A. Kirisli; Michiel Schaap; Stefan Klein 001; Lisan Neefjes; Nico Mollet; Boudewijn P. F. Lelieveldt; Marleen de Bruijne; Wiro J. Niessen; Theo van Walsum (IEEE Trans. Medical Imaging, 2012)

Texture-Based Analysis of COPD: A Data-Driven Approach. - Lauge Sørensen; Mads Nielsen; Pechin Lo; Haseem Ashraf; Jesper Johannes Holst Pedersen; Marleen de Bruijne (IEEE Trans. Medical Imaging, 2012)

Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees. - Aasa Feragen; Megan Owen; Jens Petersen; Mathilde M. W. Wille; Laura H. Thomsen; Asger Dirksen; Marleen de Bruijne (IPMI, 2013)

Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry. - Aasa Feragen; Jens Petersen; Dominik G. Grimm; Asger Dirksen; Jesper Johannes Holst Pedersen; Karsten M. Borgwardt; Marleen de Bruijne (IPMI, 2013)

Efficient nonrigid registration using ranked order statistics. - Ruwan Bandara Tennakoon; Alireza Bab-Hadiashar; Marleen de Bruijne; Zhenwei Cao (ISBI, 2013)

Automated measurement of diagnostic angles for hip dysplasia. - Sepp de Raedt; Inger Mechlenburg; Maiken Stilling; Lone Rømer; Kjeld Søballe; Marleen de Bruijne (Computer-Aided Diagnosis, 2013)

Carotid Artery Lumen Segmentation in 3D Free-Hand Ultrasound Images Using Surface Graph Cuts. - Andrés M. Arias Lorza; Diego D. B. Carvalho; Jens Petersen; Anouk C. van Dijk; Aad van der Lugt; Wiro J. Niessen; Stefan Klein 001; Marleen de Bruijne (MICCAI (2), 2013)

A Transfer-Learning Approach to Image Segmentation Across Scanners by Maximizing Distribution Similarity. - Annegreet van Opbroek; Mohammad Arfan Ikram; Meike W. Vernooij; Marleen de Bruijne (MLMI, 2013)

Quantitative Airway Analysis in Longitudinal Studies Using Groupwise Registration and 4D Optimal Surfaces. - Jens Petersen; Marc Modat; Manuel Jorge Cardoso; Asger Dirksen; Sébastien Ourselin; Marleen de Bruijne (MICCAI (2), 2013)

Local appearance features for robust MRI brain structure segmentation across scanning protocols. - Hakim C. Achterberg; Dirk H. J. Poot; Fedde van der Lijn; Meike W. Vernooij; Mohammad Arfan Ikram; Wiro J. Niessen; Marleen de Bruijne (Image Processing, 2013)

Scalable kernels for graphs with continuous attributes. - Aasa Feragen; Niklas Kasenburg; Jens Petersen; Marleen de Bruijne; Karsten M. Borgwardt (NIPS, 2013)

Statistical coronary motion models for 2D + t/3D registration of X-ray coronary angiography and CTA. - Nora Baka; Coert Metz; Carl J. Schultz; Lisan Neefjes; Robert Jan van Geuns; Boudewijn P. F. Lelieveldt; Wiro J. Niessen; Theo van Walsum; Marleen de Bruijne (Medical Image Anal., 2013)

Toward a Theory of Statistical Tree-Shape Analysis. - Aasa Feragen; Pechin Lo; Marleen de Bruijne; Mads Nielsen; François Lauze (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Quantification of Smoothing Requirement for 3D Optic Flow Calculation of Volumetric Images. - Alireza Bab-Hadiashar; Ruwan B. Tennakoon; Marleen de Bruijne (IEEE Trans. Image Process., 2013)

Classification of COPD with Multiple Instance Learning. - Veronika Cheplygina; Lauge Sørensen; David M. J. Tax; Jesper Johannes Holst Pedersen; Marco Loog; Marleen de Bruijne (ICPR, 2014)

Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine. - Gijs van Tulder; Marleen de Bruijne (MCV, 2014)

Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease. - Jens Petersen; Mads Nielsen; Pechin Lo; Lars Haug Nordenmark; Jesper Johannes Holst Pedersen; Mathilde Marie Winkler Wille; Asger Dirksen; Marleen de Bruijne (Medical Image Anal., 2014)

Nonrigid Registration of Volumetric Images Using Ranked Order Statistics. - Ruwan B. Tennakoon; Alireza Bab-Hadiashar; Zhenwei Cao; Marleen de Bruijne (IEEE Trans. Medical Imaging, 2014)

Feature-Space Transformation Improves Supervised Segmentation Across Scanners. - Annegreet van Opbroek; Hakim C. Achterberg; Marleen de Bruijne (MLMMI@ICML, 2015)

Label Stability in Multiple Instance Learning. - Veronika Cheplygina; Lauge Sørensen; David M. J. Tax; Marleen de Bruijne; Marco Loog (MICCAI (1), 2015)

Why Does Synthesized Data Improve Multi-sequence Classification? - Gijs van Tulder; Marleen de Bruijne (MICCAI (1), 2015)

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. - Adriënne M. Mendrik; Koen L. Vincken; Hugo J. Kuijf; Marcel Breeuwer; Willem H. Bouvy; Jeroen de Bresser; Amir Alansary; Marleen de Bruijne; Aaron Carass; Ayman El-Baz; Amod Jog; Ranveer Katyal; et al. (Comput. Intell. Neurosci., 2015)

Weighting training images by maximizing distribution similarity for supervised segmentation across scanners. - Annegreet van Opbroek; Meike W. Vernooij; Mohammad Arfan Ikram; Marleen de Bruijne (Medical Image Anal., 2015)

Multi-Center MRI Carotid Plaque Component Segmentation Using Feature Normalization and Transfer Learning. - Arna van Engelen; Anouk C. van Dijk; Martine T. B. Truijman; Ronald van't Klooster; Annegreet van Opbroek; Aad van der Lugt; Wiro J. Niessen; M. Eline Kooi; Marleen de Bruijne (IEEE Trans. Medical Imaging, 2015)

Geodesic Atlas-Based Labeling of Anatomical Trees: Application and Evaluation on Airways Extracted From CT. - Aasa Feragen; Jens Petersen; Megan Owen; Pechin Lo; Laura Hohwu Thomsen; Mathilde Marie Winkler Wille; Asger Dirksen; Marleen de Bruijne (IEEE Trans. Medical Imaging, 2015)

Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols. - Annegreet van Opbroek; Mohammad Arfan Ikram; Meike W. Vernooij; Marleen de Bruijne (IEEE Trans. Medical Imaging, 2015)

Asymmetric similarity-weighted ensembles for image segmentation. - Veronika Cheplygina; Annegreet van Opbroek; Mohammad Arfan Ikram; Meike W. Vernooij; Marleen de Bruijne (ISBI, 2016)

Early Experiences with Crowdsourcing Airway Annotations in Chest CT. - Veronika Cheplygina; Adria Perez-Rovira; Wieying Kuo; Harm A. W. M. Tiddens; Marleen de Bruijne (LABELS/DLMIA@MICCAI, 2016)

Representation Learning for Cross-Modality Classification. - Gijs van Tulder; Marleen de Bruijne (MCV/BAMBI@MICCAI, 2016)

Extraction of airway trees using multiple hypothesis tracking and template matching. - Raghavendra Selvan; Jens Petersen; Jesper Johannes Holst Pedersen; Marleen de Bruijne (CoRR, 2016)

Machine learning approaches in medical image analysis: From detection to diagnosis. - Marleen de Bruijne (Medical Image Anal., 2016)

Carotid Artery Wall Segmentation in Multispectral MRI by Coupled Optimal Surface Graph Cuts. - Andrés M. Arias Lorza; Jens Petersen; Arna van Engelen; Mariana Selwaness; Aad van der Lugt; Wiro J. Niessen; Marleen de Bruijne (IEEE Trans. Medical Imaging, 2016)

Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines. - Gijs van Tulder; Marleen de Bruijne (IEEE Trans. Medical Imaging, 2016)

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)

GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network. - Florian Dubost; Gerda Bortsova; Hieab Adams; Mohammad Arfan Ikram; Wiro J. Niessen; Meike W. Vernooij; Marleen de Bruijne (MICCAI (3), 2017)

Crowdsourced Emphysema Assessment. - Silas Nyboe Ørting; Veronika Cheplygina; Jens Petersen; Laura H. Thomsen; Mathilde M. W. Wille; Marleen de Bruijne (CVII-STENT/LABELS@MICCAI, 2017)

Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing. - Raghavendra Selvan; Jens Petersen; Jesper Holst Pedersen; Marleen de Bruijne (GRAIL/MFCA/MICGen@MICCAI, 2017)

Evaluating Classifiers for Atherosclerotic Plaque Component Segmentation in MRI. - Arna van Engelen; Marleen de Bruijne; Torben Schneider; Anouk C. van Dijk; M. Eline Kooi; Jeroen Hendrikse; Aart J. Nederveen; Wiro J. Niessen; René M. Botnar (MIUA, 2017)

Fully Automated Lung Volume Assessment from MRI in a Population-based Child Cohort Study. - Tatyana Ivanovska; Pierluigi Ciet; Adria Perez-Rovira; Anh Nguyen; Harm A. Tiddens; Liesbeth Duijts; Marleen de Bruijne; Florentin Wörgötter (VISIGRAPP (6: VISAPP), 2017)

Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners. - Veronika Cheplygina; Annegreet van Opbroek; Mohammad Arfan Ikram; Meike W. Vernooij; Marleen de Bruijne (CoRR, 2017)

Transfer learning for multi-center classification of chronic obstructive pulmonary disease. - Veronika Cheplygina; Isabel Pino Peña; Jesper Johannes Holst Pedersen; David A. Lynch; Lauge Sørensen; Marleen de Bruijne (CoRR, 2017)

Automatic Emphysema Detection using Weakly Labeled HRCT Lung Images. - Isabel Pino Peña; Veronika Cheplygina; Sofia Paschaloudi; Morten Vuust; Jesper Carl; Ulla Møller Weinreich; Lasse Riis Østergaard; Marleen de Bruijne (CoRR, 2017)

Deep Multi-instance Volumetric Image Classification with Extreme Value Distributions. - Ruwan B. Tennakoon; Amirali K. Gostar; Reza Hoseinnezhad; Marleen de Bruijne; Alireza Bab-Hadiashar (ACCV (3), 2018)

Detecting emphysema with multiple instance learning. - Silas Nyboe Ørting; Jens Petersen; Laura H. Thomsen; Mathilde M. W. Wille; Marleen de Bruijne (ISBI, 2018)

Deep Learning from Label Proportions for Emphysema Quantification. - Gerda Bortsova; Florian Dubost; Silas N. Ørting; Ioannis Katramados; Laurens Hogeweg; Laura H. Thomsen; Mathilde M. W. Wille; Marleen de Bruijne (MICCAI (2), 2018)

Automatic Airway Segmentation in Chest CT Using Convolutional Neural Networks. - A. Garcia-Uceda Juarez; Harm A. W. M. Tiddens; Marleen de Bruijne (RAMBO+BIA+TIA@MICCAI, 2018)

Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans. - Silas Nyboe Ørting; Jens Petersen; Veronika Cheplygina; Laura H. Thomsen; Mathilde M. W. Wille; Marleen de Bruijne (CVII-STENT/LABELS@MICCAI, 2018)

Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction. - Raghavendra Selvan; Max Welling; Jesper Holst Pedersen; Jens Petersen; Marleen de Bruijne (MICCAI (2), 2018)

Aorta and pulmonary artery segmentation using optimal surface graph cuts in non-contrast CT. - Zahra Sedghi Gamechi; Andrés M. Arias Lorza; Jesper Holst Pedersen; Marleen de Bruijne (Image Processing, 2018)

Quantification of lung abnormalities in cystic fibrosis using deep networks. - Filipe Marques; Florian Dubost; Mariette Kemner-van de Corput; Harm A. W. M. Tiddens; Marleen de Bruijne (Image Processing, 2018)

Reliability of computer-assisted periacetabular osteotomy using a minimally invasive approach. - Sepp de Raedt; Inger Mechlenburg; Maiken Stilling; Lone Rømer; Ryan J. Murphy; Mehran Armand; Jyri Lepistö; Marleen de Bruijne; Kjeld Søballe (Int. J. Comput. Assist. Radiol. Surg., 2018)

Extraction of Airways using Graph Neural Networks. - Raghavendra Selvan; Thomas N. Kipf; Max Welling; Jesper Holst Pedersen; Jens Petersen; Marleen de Bruijne (CoRR, 2018)

Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses. - Raghavendra Selvan; Jens Petersen; Jesper Holst Pedersen; Marleen de Bruijne (CoRR, 2018)

An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images. - Shuai Chen; Marleen de Bruijne (CoRR, 2018)

Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks. - Raghavendra Selvan; Thomas N. Kipf; Max Welling; Jesper Holst Pedersen; Jens Petersen; Marleen de Bruijne (CoRR, 2018)

Transfer Learning for Multicenter Classification of Chronic Obstructive Pulmonary Disease. - Veronika Cheplygina; Isabel Pino Peña; Jesper Holst Pedersen; David A. Lynch; Lauge Sørensen; Marleen de Bruijne (IEEE J. Biomed. Health Informatics, 2018)

A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation. - Wouter M. Kouw; Silas N. Ørting; Jens Petersen; Kim Steenstrup Pedersen; Marleen de Bruijne (IPMI, 2019)

Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia. - Vikram Venkatraghavan; Florian Dubost; Esther E. Bron; Wiro J. Niessen; Marleen de Bruijne; Stefan Klein 001 (IPMI, 2019)

Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations. - Gerda Bortsova; Florian Dubost; Laurens Hogeweg; Ioannis Katramados; Marleen de Bruijne (MICCAI (6), 2019)

Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation. - Shuai Chen; Gerda Bortsova; Antonio García-Uceda Juárez; Gijs van Tulder; Marleen de Bruijne (MICCAI (3), 2019)

Hydranet: Data Augmentation for Regression Neural Networks. - Florian Dubost; Gerda Bortsova; Hieab Adams; Mohammad Arfan Ikram; Wiro J. Niessen; Meike W. Vernooij; Marleen de Bruijne (MICCAI (4), 2019)

Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks. - Florian Dubost; Benjamin Collery; Antonin Renaudier; Axel Roc; Nicolas Posocco; Wiro J. Niessen; Marleen de Bruijne (CSI@MICCAI, 2019)

Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites. - Florian Dubost; Max Dünnwald; Denver Huff; Vincent Scheumann; Frank Schreiber; Meike W. Vernooij; Wiro J. Niessen; Martin Skalej; Stefanie Schreiber; Steffen Oeltze-Jafra; Marleen de Bruijne (OR/MLCN@MICCAI, 2019)

A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs. - Antonio Garcia-Uceda Juarez; Raghavendra Selvan; Zaigham Saghir; Marleen de Bruijne (MLMI@MICCAI, 2019)

Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network. - Kimberlin M. H. van Wijnen; Florian Dubost; Pinar Yilmaz; Mohammad Arfan Ikram; Wiro J. Niessen; Hieab Adams; Meike W. Vernooij; Marleen de Bruijne (MICCAI (4), 2019)

APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network. - Chaoping Zhang; Florian Dubost; Marleen de Bruijne; Stefan Klein 001; Dirk H. J. Poot (MLMIR@MICCAI, 2019)

Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data. - Florian Dubost; Marleen de Bruijne; Marco Nardin; Adrian V. Dalca; Kathleen L. Donahue; Anne-Katrin Giese; Mark R. Etherton; Ona Wu; Marius de Groot; Wiro J. Niessen; Meike W. Vernooij; Natalia S. Rost; et al. (CoRR, 2019)

Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks. - Florian Dubost; Benjamin Collery; Antonin Renaudier; Axel Roc; Nicolas Posocco; Gerda Bortsova; Wiro J. Niessen; Marleen de Bruijne (CoRR, 2019)

Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis. - Veronika Cheplygina; Marleen de Bruijne; Josien P. W. Pluim (Medical Image Anal., 2019)

3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI. - Florian Dubost; Hieab Adams; Gerda Bortsova; Mohammad Arfan Ikram; Wiro J. Niessen; Meike W. Vernooij; Marleen de Bruijne (Medical Image Anal., 2019)

Enlarged perivascular spaces in brain MRI: Automated quantification in four regions. - Florian Dubost; Pinar Yilmaz; Hieab Adams; Gerda Bortsova; Mohammad Arfan Ikram; Wiro J. Niessen; Meike W. Vernooij; Marleen de Bruijne (NeuroImage, 2019)

Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning. - Annegreet van Opbroek; Hakim C. Achterberg; Meike W. Vernooij; Marleen de Bruijne (IEEE Trans. Medical Imaging, 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)

Learning Cross-Modality Representations From Multi-Modal Images. - Gijs van Tulder; Marleen de Bruijne (IEEE Trans. Medical Imaging, 2019)

Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-Images. - Subhradeep Kayal; Florian Dubost; Harm A. W. M. Tiddens; Marleen de Bruijne (ISBI, 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 (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)

Region-of-Interest Guided Supervoxel Inpainting for Self-supervision. - Subhradeep Kayal; Shuai Chen; Marleen de Bruijne (MICCAI (1), 2020)

Longitudinal assessment of carotid plaque texture in three-dimensional ultrasound images based on semi-supervised graph-based dimensionality reduction and feature selection. - Mingquan Lin; He Cui; Weifu Chen; Arna van Engelen; Marleen de Bruijne; M. Reza Azarpazhooh; Seyed Mojtaba Sohrevardi; John David Spence; Bernard Chiu (Comput. Biol. Medicine, 2020)

Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection. - Xueli Chen; Mingquan Lin; He Cui; Yimin Chen; Arna van Engelen; Marleen de Bruijne; M. Reza Azarpazhooh; Seyed Mojtaba Sohrevardi; Tommy W. S. Chow; John David Spence; Bernard Chiu (Comput. Methods Programs Biomed., 2020)

When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans. - Oliver Werner; Kimberlin M. H. van Wijnen; Wiro J. Niessen; Marius de Groot; Meike W. Vernooij; Florian Dubost; Marleen de Bruijne (CoRR, 2020)

DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset. - Soumick Chatterjee; Kartik Prabhu; Mahantesh Pattadkal; Gerda Bortsova; Florian Dubost; Hendrik Mattern; Marleen de Bruijne; Oliver Speck; Andreas Nürnberger (CoRR, 2020)

Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track. - Tal Arbel; Ismail Ben Ayed; Marleen de Bruijne; Maxime Descoteaux; Herve Lombaert; Chris Pal (CoRR, 2020)

Crowdsourcing Airway Annotations in Chest Computed Tomography Images. - Veronika Cheplygina; Adria Perez-Rovira; Wieying Kuo; Harm A. W. M. Tiddens; Marleen de Bruijne (CoRR, 2020)

Weakly supervised object detection with 2D and 3D regression neural networks. - Florian Dubost; Hieab Adams; Pinar Yilmaz; Gerda Bortsova; Gijs van Tulder; Mohammad Arfan Ikram; Wiro J. Niessen; Meike W. Vernooij; Marleen de Bruijne (Medical Image Anal., 2020)

Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation. - Florian Dubost; Marleen de Bruijne; Marco Nardin; Adrian V. Dalca; Kathleen L. Donahue; Anne-Katrin Giese; Mark R. Etherton; Ona Wu; Marius de Groot; Wiro J. Niessen; Meike W. Vernooij; Natalia S. Rost; et al. (Medical Image Anal., 2020)

Graph refinement based airway extraction using mean-field networks and graph neural networks. - Raghavendra Selvan; Thomas Kipf; Max Welling; Antonio Garcia-Uceda Juarez; Jesper Holst Pedersen; Jens Petersen; Marleen de Bruijne (Medical Image Anal., 2020)

Spatially Regularized Shape Analysis of the Hippocampus Using P-Spline Based Shape Regression. - Hakim C. Achterberg; Johan J. de Rooi; Meike W. Vernooij; Mohammad Arfan Ikram; Wiro J. Niessen; Paul H. C. Eilers; Marleen de Bruijne (IEEE J. Biomed. Health Informatics, 2020)

Learning to Quantify Emphysema Extent: What Labels Do We Need? - Silas Nyboe Ørting; Jens Petersen; Laura H. Thomsen; Mathilde M. W. Wille; Marleen de Bruijne (IEEE J. Biomed. Health Informatics, 2020)

Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem. - Ruwan B. Tennakoon; Gerda Bortsova; Silas Nyboe Ørting; Amirali K. Gostar; Mathilde M. W. Wille; Zaigham Saghir; Reza Hoseinnezhad; Marleen de Bruijne; Alireza Bab-Hadiashar (IEEE Trans. Medical Imaging, 2020)

Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging. - Marleen de Bruijne (Bildverarbeitung für die Medizin, 2021)

Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks. - Antonio Garcia-Uceda Juarez; Raghavendra Selvan; Zaigham Saghir; Harm A. W. M. Tiddens; Marleen de Bruijne (CoRR, 2021)

Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images. - Gerda Bortsova; Florian Dubost; Laurens Hogeweg; Ioannis Katramados; 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)

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)

Adversarial attack vulnerability of medical image analysis systems: Unexplored factors. - Gerda Bortsova; Cristina González-Gonzalo; Suzanne C. Wetstein; Florian Dubost; Ioannis Katramados; Laurens Hogeweg; Bart Liefers; Bram van Ginneken; Josien P. W. Pluim; Mitko Veta; Clara I. Sánchez; Marleen de Bruijne (Medical Image Anal., 2021)

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

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (CoRR, 2022)

DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data. - Soumick Chatterjee; Kartik Prabhu; Mahantesh Pattadkal; Gerda Bortsova; Chompunuch Sarasaen; Florian Dubost; Hendrik Mattern; Marleen de Bruijne; Oliver Speck; Andreas Nürnberger (J. Imaging, 2022)

An end-to-end approach to segmentation in medical images with CNN and posterior-CRF. - Shuai Chen; Zahra Sedghi Gamechi; Florian Dubost; Gijs van Tulder; Marleen de Bruijne (Medical Image Anal., 2022)

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. - Alain Lalande; Zhihao Chen 005; Thibaut Pommier; Thomas Decourselle; Abdul Qayyum; Michel Salomon; Dominique Ginhac; Youssef Skandarani; Arnaud Boucher; Khawla Brahim; Marleen de Bruijne; Robin Camarasa; et al. (Medical Image Anal., 2022)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation. - Mariam Zabihi; Chayanin Tangwiriyasakul; Silvia Ingala; Luigi Lorenzini; Robin Camarasa; Frederik Barkhof; Marleen de Bruijne; M. Jorge Cardoso; Carole H. Sudre (MLMI@MICCAI (2), 2023)

Why is the winner the best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CoRR, 2023)

On the dice loss gradient and the ways to mimic it. - Hoel Kervadec; Marleen de Bruijne (CoRR, 2023)

Source Identification: A Self-Supervision Task for Dense Prediction. - Shuai Chen; Subhradeep Kayal; Marleen de Bruijne (CoRR, 2023)

Editorial for the MEDIA MICCAI special issue 2021. - Marleen de Bruijne; Philippe C. Cattin; Stéphane Cotin; Nicolas Padoy; Stefanie Speidel; Yefeng Zheng 001; Caroline Essert (Medical Image Anal., 2023)

Unpaired, unsupervised domain adaptation assumes your domains are already similar. - Gijs van Tulder; Marleen de Bruijne (Medical Image Anal., 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)

Leveraging Point Annotations in Segmentation Learning with Boundary Loss. - Eva Breznik; Hoel Kervadec; Filip Malmberg; Joel Kullberg; Håkan Ahlström; Marleen de Bruijne; Robin Strand (ICPR (13), 2024)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (Medical Image Anal., 2024)

Label refinement network from synthetic error augmentation for medical image segmentation. - Shuai Chen; Antonio García-Uceda Juárez; Jiahang Su; Gijs van Tulder; Lennard Wolff; Theo van Walsum; Marleen de Bruijne (Medical Image Anal., 2025)

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans. - Silas Nyboe Ørting; Kristina Miger; Anne Sophie Overgaard Olesen; Mikael Ploug Boesen; Michael Brun Andersen; Jens Petersen; Olav W. Nielsen; Marleen de Bruijne (CoRR, 2025)