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Marleen de Bruijne
Person information
- affiliation: Erasmus MC, Rotterdam, The Netherlands
- affiliation: University of Copenhagen, Denmark
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2020 – today
- 2025
- [j56]Shuai Chen
, Antonio García-Uceda Juárez, Jiahang Su
Label refinement network from synthetic error augmentation for medical image segmentation. Medical Image Anal. 99: 103355 (2025) - 2024
- [j55]Carole H. Sudre
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. Medical Image Anal. 91: 103029 (2024) - 2023
- [j54]Marleen de Bruijne, Philippe C. Cattin
Editorial for the MEDIA MICCAI special issue 2021. Medical Image Anal. 83: 102695 (2023) - [j53]Gijs van Tulder
Unpaired, unsupervised domain adaptation assumes your domains are already similar. Medical Image Anal. 87: 102825 (2023) - [j52]Robin Camarasa, Hoel Kervadec
Nested star-shaped objects segmentation using diameter annotations. Medical Image Anal. 90: 102934 (2023) - [c108]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c107]Mariam Zabihi
Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation. MLMI@MICCAI (2) 2023: 325-334 - [e11]Alejandro F. Frangi
Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023, Proceedings. Lecture Notes in Computer Science 13939, Springer 2023, ISBN 978-3-031-34047-5 [contents] - [i53]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali
Why is the winner the best? CoRR abs/2303.17719 (2023) - [i52]Hoel Kervadec, Marleen de Bruijne:
On the dice loss gradient and the ways to mimic it. CoRR abs/2304.04319 (2023) - [i51]Shuai Chen, Subhradeep Kayal, Marleen de Bruijne:
Source Identification: A Self-Supervision Task for Dense Prediction. CoRR abs/2307.02238 (2023) - [i50]Eva Breznik, Hoel Kervadec, Filip Malmberg, Joel Kullberg, Håkan Ahlström, Marleen de Bruijne, Robin Strand:
Leveraging point annotations in segmentation learning with boundary loss. CoRR abs/2311.03537 (2023) - 2022
- [j51]Soumick Chatterjee
DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data. J. Imaging 8(10): 259 (2022) - [j50]Shuai Chen, Zahra Sedghi Gamechi, Florian Dubost, Gijs van Tulder, Marleen de Bruijne
An end-to-end approach to segmentation in medical images with CNN and posterior-CRF. Medical Image Anal. 76: 102311 (2022) - [j49]Alain Lalande
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. Medical Image Anal. 79: 102428 (2022) - [c106]Robin Camarasa, Hoel Kervadec, Daniel Bos, Marleen de Bruijne:
Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation. MIDL 2022: 188-198 - [i49]Carole H. Sudre
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. CoRR abs/2208.07167 (2022) - [i48]Shuai Chen, Antonio Garcia-Uceda Juarez, Jiahang Su, Gijs van Tulder, Lennard Wolff, Theo van Walsum, Marleen de Bruijne:
Label Refinement Network from Synthetic Error Augmentation for Medical Image Segmentation. CoRR abs/2209.06353 (2022) - 2021
- [j48]Gerda Bortsova
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors. Medical Image Anal. 73: 102141 (2021) - [c105]Marleen de Bruijne
Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging. Bildverarbeitung für die Medizin 2021: 1 - [e10]Marleen de Bruijne
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12901, Springer 2021, ISBN 978-3-030-87192-5 [contents] - [e9]Marleen de Bruijne
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12902, Springer 2021, ISBN 978-3-030-87195-6 [contents] - [e8]Marleen de Bruijne
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12903, Springer 2021, ISBN 978-3-030-87198-7 [contents] - [e7]Marleen de Bruijne
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 12904, Springer 2021, ISBN 978-3-030-87201-4 [contents] - [e6]Marleen de Bruijne
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V. Lecture Notes in Computer Science 12905, Springer 2021, ISBN 978-3-030-87239-7 [contents] - [e5]Marleen de Bruijne
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VI. Lecture Notes in Computer Science 12906, Springer 2021, ISBN 978-3-030-87230-4 [contents] - [e4]Marleen de Bruijne
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII. Lecture Notes in Computer Science 12907, Springer 2021, ISBN 978-3-030-87233-5 [contents] - [e3]Marleen de Bruijne
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VIII. Lecture Notes in Computer Science 12908, Springer 2021, ISBN 978-3-030-87236-6 [contents] - [e2]Mattias P. Heinrich, Qi Dou, Marleen de Bruijne, Jan Lellmann, Alexander Schlaefer, Floris Ernst:
Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany. Proceedings of Machine Learning Research 143, PMLR 2021 [contents] - [i47]Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Harm A. W. M. Tiddens, Marleen de Bruijne:
Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks. CoRR abs/2103.16328 (2021) - [i46]Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne:
Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images. CoRR abs/2104.00139 (2021) - [i45]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) - [i44]Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. CoRR abs/2108.04016 (2021) - [i43]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
- [j47]Mingquan Lin
Longitudinal assessment of carotid plaque texture in three-dimensional ultrasound images based on semi-supervised graph-based dimensionality reduction and feature selection. Comput. Biol. Medicine 116: 103586 (2020) - [j46]Xueli Chen
Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection. Comput. Methods Programs Biomed. 184: 105276 (2020) - [j45]Florian Dubost
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation. Medical Image Anal. 63: 101698 (2020) - [j44]Raghavendra Selvan
Graph refinement based airway extraction using mean-field networks and graph neural networks. Medical Image Anal. 64: 101751 (2020) - [j43]Florian Dubost
Weakly supervised object detection with 2D and 3D regression neural networks. Medical Image Anal. 65: 101767 (2020) - [j42]Hakim C. Achterberg
Spatially Regularized Shape Analysis of the Hippocampus Using P-Spline Based Shape Regression. IEEE J. Biomed. Health Informatics 24(3): 825-834 (2020) - [j41]Silas Nyboe Ørting
Learning to Quantify Emphysema Extent: What Labels Do We Need? IEEE J. Biomed. Health Informatics 24(4): 1149-1159 (2020) - [j40]Ruwan B. Tennakoon
Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem. IEEE Trans. Medical Imaging 39(4): 854-865 (2020) - [c104]Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne
Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-Images. ISBI 2020: 586-590 - [c103]Robin Camarasa, Daniel Bos
Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation. UNSURE/GRAIL@MICCAI 2020: 32-41 - [c102]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 - [c101]Subhradeep Kayal, Shuai Chen, Marleen de Bruijne
Region-of-Interest Guided Supervoxel Inpainting for Self-supervision. MICCAI (1) 2020: 500-509 - [e1]Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Hervé Lombaert, Christopher Pal:
International Conference on Medical Imaging with Deep Learning, MIDL 2020, 6-8 July 2020, Montréal, QC, Canada. Proceedings of Machine Learning Research 121, PMLR 2020 [contents] - [i42]Oliver Werner, Kimberlin M. H. van Wijnen, Wiro J. Niessen, Marius de Groot, Meike W. Vernooij, Florian Dubost, Marleen de Bruijne:
When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans. CoRR abs/2004.05578 (2020) - [i41]Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne:
Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images. CoRR abs/2004.11989 (2020) - [i40]Suzanne C. Wetstein, Cristina González-Gonzalo, Gerda Bortsova, Bart Liefers, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bram van Ginneken, Josien P. W. Pluim, Marleen de Bruijne, Clara I. Sánchez, Mitko Veta:
Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors. CoRR abs/2006.06356 (2020) - [i39]Soumick Chatterjee
DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset. CoRR abs/2006.10802 (2020) - [i38]Subhradeep Kayal, Shuai Chen, Marleen de Bruijne:
Region-of-interest guided Supervoxel Inpainting for Self-supervision. CoRR abs/2006.15186 (2020) - [i37]Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Chris Pal:
Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track. CoRR abs/2007.02319 (2020) - [i36]Veronika Cheplygina, Adria Perez-Rovira, Wieying Kuo, Harm A. W. M. Tiddens, Marleen de Bruijne:
Crowdsourcing Airway Annotations in Chest Computed Tomography Images. CoRR abs/2011.10433 (2020)
2010 – 2019
- 2019
- [j39]Florian Dubost
3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI. Medical Image Anal. 51: 89-100 (2019) - [j38]Veronika Cheplygina
Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis. Medical Image Anal. 54: 280-296 (2019) - [j37]Florian Dubost, Pinar Yilmaz, Hieab Adams, Gerda Bortsova
Enlarged perivascular spaces in brain MRI: Automated quantification in four regions. NeuroImage 185: 534-544 (2019) - [j36]Annegreet van Opbroek
Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning. IEEE Trans. Medical Imaging 38(1): 213-224 (2019) - [j35]Gijs van Tulder
Learning Cross-Modality Representations From Multi-Modal Images. IEEE Trans. Medical Imaging 38(2): 638-648 (2019) - [j34]Jens Petersen
Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies. IEEE Trans. Medical Imaging 38(7): 1559-1568 (2019) - [c100]Vikram Venkatraghavan
Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia. IPMI 2019: 169-180 - [c99]Wouter M. Kouw
A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation. IPMI 2019: 360-371 - [c98]Chaoping Zhang, Florian Dubost, Marleen de Bruijne
APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network. MLMIR@MICCAI 2019: 36-46 - [c97]Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc, Nicolas Posocco, Wiro J. Niessen, Marleen de Bruijne
Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks. CSI@MICCAI 2019: 88-94 - [c96]Florian Dubost, Max Dünnwald, Denver Huff, Vincent Scheumann, Frank Schreiber, Meike W. Vernooij, Wiro J. Niessen, Martin Skalej, Stefanie Schreiber
Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites. OR/MLCN@MICCAI 2019: 103-111 - [c95]Kimberlin M. H. van Wijnen, Florian Dubost, Pinar Yilmaz, Mohammad Arfan Ikram
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network. MICCAI (4) 2019: 234-242 - [c94]Florian Dubost, Gerda Bortsova
Hydranet: Data Augmentation for Regression Neural Networks. MICCAI (4) 2019: 438-446 - [c93]Shuai Chen, Gerda Bortsova
Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation. MICCAI (3) 2019: 457-465 - [c92]Antonio Garcia-Uceda Juarez, Raghavendra Selvan
A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs. MLMI@MICCAI 2019: 583-591 - [c91]Gerda Bortsova
Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations. MICCAI (6) 2019: 810-818 - [i35]Vikram Venkatraghavan, Florian Dubost, Esther E. Bron
Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia. CoRR abs/1903.03386 (2019) - [i34]Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne:
A cross-center smoothness prior for variational Bayesian brain tissue segmentation. CoRR abs/1903.04191 (2019) - [i33]Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne:
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks. CoRR abs/1906.01891 (2019) - [i32]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, Markus D. Schirmer
Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data. CoRR abs/1907.00695 (2019) - [i31]Shuai Chen, Gerda Bortsova, Antonio Garcia-Uceda Juarez, Gijs van Tulder, Marleen de Bruijne:
Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation. CoRR abs/1907.12303 (2019) - [i30]Kimberlin M. H. van Wijnen, Florian Dubost, Pinar Yilmaz, Mohammad Arfan Ikram, Wiro J. Niessen, Hieab Adams, Meike W. Vernooij, Marleen de Bruijne:
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network. CoRR abs/1907.12452 (2019) - [i29]Antonio Garcia-Uceda Juarez, Raghavendra Selvan
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs. CoRR abs/1908.08588 (2019) - [i28]Chaoping Zhang, Florian Dubost, Marleen de Bruijne, Stefan Klein, Dirk H. J. Poot:
APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network. CoRR abs/1909.09006 (2019) - [i27]Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc, Nicolas Posocco, Gerda Bortsova, Wiro J. Niessen, Marleen de Bruijne:
Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks. CoRR abs/1911.01126 (2019) - [i26]Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne:
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations. CoRR abs/1911.01218 (2019) - 2018
- [j33]Sepp de Raedt
Reliability of computer-assisted periacetabular osteotomy using a minimally invasive approach. Int. J. Comput. Assist. Radiol. Surg. 13(12): 2021-2028 (2018) - [j32]Veronika Cheplygina
Transfer Learning for Multicenter Classification of Chronic Obstructive Pulmonary Disease. IEEE J. Biomed. Health Informatics 22(5): 1486-1496 (2018) - [c90]Ruwan B. Tennakoon
Deep Multi-instance Volumetric Image Classification with Extreme Value Distributions. ACCV (3) 2018: 590-604 - [c89]Silas Nyboe Ørting
Detecting emphysema with multiple instance learning. ISBI 2018: 510-513 - [c88]Silas Nyboe Ørting
Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans. CVII-STENT/LABELS@MICCAI 2018: 140-149 - [c87]A. Garcia-Uceda Juarez, Harm A. W. M. Tiddens, Marleen de Bruijne
Automatic Airway Segmentation in Chest CT Using Convolutional Neural Networks. RAMBO+BIA+TIA@MICCAI 2018: 238-250 - [c86]Raghavendra Selvan
Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction. MICCAI (2) 2018: 750-758 - [c85]Gerda Bortsova
Deep Learning from Label Proportions for Emphysema Quantification. MICCAI (2) 2018: 768-776 - [c84]Filipe Marques, Florian Dubost, Mariette Kemner-van de Corput, Harm A. W. M. Tiddens, Marleen de Bruijne
Quantification of lung abnormalities in cystic fibrosis using deep networks. Medical Imaging: Image Processing 2018: 105741G - [c83]Zahra Sedghi Gamechi, Andrés M. Arias Lorza, Jesper Holst Pedersen, Marleen de Bruijne
Aorta and pulmonary artery segmentation using optimal surface graph cuts in non-contrast CT. Medical Imaging: Image Processing 2018: 105742D - [i25]Florian Dubost, Hieab Adams, Gerda Bortsova, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne:
3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI. CoRR abs/1802.05914 (2018) - [i24]Filipe Marques, Florian Dubost, Mariette Kemner-van de Corput, Harm A. W. M. Tiddens, Marleen de Bruijne
Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks. CoRR abs/1803.07991 (2018) - [i23]Raghavendra Selvan, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne:
Mean Field Network based Graph Refinement with application to Airway Tree Extraction. CoRR abs/1804.03348 (2018) - [i22]Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne:
Extraction of Airways using Graph Neural Networks. CoRR abs/1804.04436 (2018) - [i21]Veronika Cheplygina, Marleen de Bruijne, Josien P. W. Pluim:
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis. CoRR abs/1804.06353 (2018) - [i20]Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne:
Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans. CoRR abs/1806.07131 (2018) - [i19]Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne:
Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses. CoRR abs/1806.08981 (2018) - [i18]Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne:
Hydranet: Data Augmentation for Regression Neural Networks. CoRR abs/1807.04798 (2018) - [i17]Gerda Bortsova, Florian Dubost, Silas N. Ørting, Ioannis Katramados, Laurens Hogeweg, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne:
Deep Learning from Label Proportions for Emphysema Quantification. CoRR abs/1807.08601 (2018) - [i16]A. Garcia-Uceda Juarez, Harm A. W. M. Tiddens, Marleen de Bruijne:
Automatic Airway Segmentation in chest CT using Convolutional Neural Networks. CoRR abs/1808.04576 (2018) - [i15]Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne:
Learning to quantify emphysema extent: What labels do we need? CoRR abs/1810.07433 (2018) - [i14]Shuai Chen, Marleen de Bruijne
An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images. CoRR abs/1811.03549 (2018) - [i13]Raghavendra Selvan
Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks. CoRR abs/1811.08674 (2018) - 2017
- [c82]Raghavendra Selvan
Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing. GRAIL/MFCA/MICGen@MICCAI 2017: 53-63 - [c81]Silas Nyboe Ørting
Crowdsourced Emphysema Assessment. CVII-STENT/LABELS@MICCAI 2017: 126-135 - [c80]Florian Dubost, Gerda Bortsova
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network. MICCAI (3) 2017: 214-221 - [c79]Gerda Bortsova
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. MICCAI (3) 2017: 356-364 - [c78]Arna van Engelen, Marleen de Bruijne
Evaluating Classifiers for Atherosclerotic Plaque Component Segmentation in MRI. MIUA 2017: 156-168 - [c77]Tatyana Ivanovska, Pierluigi Ciet
Fully Automated Lung Volume Assessment from MRI in a Population-based Child Cohort Study. VISIGRAPP (6: VISAPP) 2017: 53-58 - [i12]Veronika Cheplygina, Isabel Pino Peña, Jesper Johannes Holst Pedersen, David A. Lynch, Lauge Sørensen, Marleen de Bruijne:
Transfer learning for multi-center classification of chronic obstructive pulmonary disease. CoRR abs/1701.05013 (2017) - [i11]Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Jesper Holst Pedersen, Marco Loog, Marleen de Bruijne:
Classification of COPD with Multiple Instance Learning. CoRR abs/1703.04980 (2017) - [i10]Veronika Cheplygina, Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne
Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners. CoRR abs/1703.04981 (2017) - [i9]Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Marleen de Bruijne, Marco Loog:
Label Stability in Multiple Instance Learning. CoRR abs/1703.04986 (2017) - [i8]Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne:
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network. CoRR abs/1705.07999 (2017) - [i7]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) - [i6]Isabel Pino Peña, Veronika Cheplygina, Sofia Paschaloudi, Morten Vuust, Jesper Carl, Ulla Møller Weinreich, Lasse Riis Østergaard, Marleen de Bruijne:
Automatic Emphysema Detection using Weakly Labeled HRCT Lung Images. CoRR abs/1706.02051 (2017) - [i5]Veronika Cheplygina, Adria Perez-Rovira, Wieying Kuo, Harm A. W. M. Tiddens, Marleen de Bruijne:
Early Experiences with Crowdsourcing Airway Annotations in Chest CT. CoRR abs/1706.02055 (2017) - [i4]Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne:
Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing. CoRR abs/1708.02096 (2017) - 2016
- [j31]Marleen de Bruijne
Machine learning approaches in medical image analysis: From detection to diagnosis. Medical Image Anal. 33: 94-97 (2016) - [j30]Andrés M. Arias Lorza, Jens Petersen
Carotid Artery Wall Segmentation in Multispectral MRI by Coupled Optimal Surface Graph Cuts. IEEE Trans. Medical Imaging 35(3): 901-911 (2016) - [j29]Gijs van Tulder, Marleen de Bruijne
Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines. IEEE Trans. Medical Imaging 35(5): 1262-1272 (2016) - [c76]Veronika Cheplygina
Asymmetric similarity-weighted ensembles for image segmentation. ISBI 2016: 273-277 - [c75]Gijs van Tulder, Marleen de Bruijne
Representation Learning for Cross-Modality Classification. MCV/BAMBI@MICCAI 2016: 126-136 - [c74]Veronika Cheplygina
Early Experiences with Crowdsourcing Airway Annotations in Chest CT. LABELS/DLMIA@MICCAI 2016: 209-218 - [i3]Raghavendra Selvan, Jens Petersen, Jesper Johannes Holst Pedersen, Marleen de Bruijne:
Extraction of airway trees using multiple hypothesis tracking and template matching. CoRR abs/1611.08131 (2016) - 2015
- [j28]Adriënne M. Mendrik, Koen L. Vincken, Hugo J. Kuijf
MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. Comput. Intell. Neurosci. 2015: 813696:1-813696:16 (2015) - [j27]Annegreet van Opbroek
Weighting training images by maximizing distribution similarity for supervised segmentation across scanners. Medical Image Anal. 24(1): 245-254 (2015) - [j26]Annegreet van Opbroek
Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols. IEEE Trans. Medical Imaging 34(5): 1018-1030 (2015) - [j25]Aasa Feragen
Geodesic Atlas-Based Labeling of Anatomical Trees: Application and Evaluation on Airways Extracted From CT. IEEE Trans. Medical Imaging 34(6): 1212-1226 (2015) - [j24]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
Multi-Center MRI Carotid Plaque Component Segmentation Using Feature Normalization and Transfer Learning. IEEE Trans. Medical Imaging 34(6): 1294-1305 (2015) - [c73]Annegreet van Opbroek, Hakim C. Achterberg, Marleen de Bruijne
Feature-Space Transformation Improves Supervised Segmentation Across Scanners. MLMMI@ICML 2015: 85-93 - [c72]Gijs van Tulder, Marleen de Bruijne
Why Does Synthesized Data Improve Multi-sequence Classification? MICCAI (1) 2015: 531-538 - [c71]Veronika Cheplygina
Label Stability in Multiple Instance Learning. MICCAI (1) 2015: 539-546 - 2014
- [j23]Jens Petersen
Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease. Medical Image Anal. 18(3): 531-541 (2014) - [j22]Ruwan B. Tennakoon
Nonrigid Registration of Volumetric Images Using Ranked Order Statistics. IEEE Trans. Medical Imaging 33(2): 422-432 (2014) - [c70]Veronika Cheplygina
Classification of COPD with Multiple Instance Learning. ICPR 2014: 1508-1513 - [c69]Gijs van Tulder, Marleen de Bruijne
Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine. MCV 2014: 47-58 - 2013
- [j21]Nora Baka, Coert Metz, Carl J. Schultz
Statistical coronary motion models for 2D + t/3D registration of X-ray coronary angiography and CTA. Medical Image Anal. 17(6): 698-709 (2013) - [j20]Aasa Feragen
Toward a Theory of Statistical Tree-Shape Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 2008-2021 (2013) - [j19]Alireza Bab-Hadiashar
Quantification of Smoothing Requirement for 3D Optic Flow Calculation of Volumetric Images. IEEE Trans. Image Process. 22(6): 2128-2137 (2013) - [c68]Aasa Feragen
Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees. IPMI 2013: 74-85 - [c67]Aasa Feragen
Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry. IPMI 2013: 171-183 - [c66]Ruwan Bandara Tennakoon
Efficient nonrigid registration using ranked order statistics. ISBI 2013: 496-499 - [c65]Sepp de Raedt
Automated measurement of diagnostic angles for hip dysplasia. Medical Imaging: Computer-Aided Diagnosis 2013: 867009 - [c64]Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne
A Transfer-Learning Approach to Image Segmentation Across Scanners by Maximizing Distribution Similarity. MLMI 2013: 49-56 - [c63]Jens Petersen
Quantitative Airway Analysis in Longitudinal Studies Using Groupwise Registration and 4D Optimal Surfaces. MICCAI (2) 2013: 287-294 - [c62]Andrés M. Arias Lorza, Diego D. B. Carvalho, Jens Petersen
Carotid Artery Lumen Segmentation in 3D Free-Hand Ultrasound Images Using Surface Graph Cuts. MICCAI (2) 2013: 542-549 - [c61]Hakim C. Achterberg, Dirk H. J. Poot, Fedde van der Lijn, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen
Local appearance features for robust MRI brain structure segmentation across scanning protocols. Medical Imaging: Image Processing 2013: 866905 - [c60]Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen de Bruijne, Karsten M. Borgwardt:
Scalable kernels for graphs with continuous attributes. NIPS 2013: 216-224 - [i2]Aasa Feragen, Jens Petersen, Dominik G. Grimm, Asger Dirksen, Jesper Johannes Holst Pedersen, Karsten M. Borgwardt, Marleen de Bruijne:
Geometric tree kernels: Classification of COPD from airway tree geometry. CoRR abs/1303.7390 (2013) - 2012
- [j18]Melanie Ganz
Distribution, Size, and Shape of Abdominal Aortic Calcified Deposits and Their Relationship to Mortality in Postmenopausal Women. Int. J. Biomed. Imaging 2012: 459286:1-459286:8 (2012) - [j17]Vladlena Gorbunova, Jon Sporring
Mass preserving image registration for lung CT. Medical Image Anal. 16(4): 786-795 (2012) - [j16]Fedde van der Lijn, Benjamin F. J. Verhaaren
Automated measurement of local white matter lesion volume. NeuroImage 59(4): 3901-3908 (2012) - [j15]Lauge Sørensen
Texture-Based Analysis of COPD: A Data-Driven Approach. IEEE Trans. Medical Imaging 31(1): 70-78 (2012) - [j14]Fedde van der Lijn, Marleen de Bruijne
Automated Brain Structure Segmentation Based on Atlas Registration and Appearance Models. IEEE Trans. Medical Imaging 31(2): 276-286 (2012) - [j13]Coert Metz, Nora Baka, Hortense A. Kirisli, Michiel Schaap, Stefan Klein
Regression-Based Cardiac Motion Prediction From Single-Phase CTA. IEEE Trans. Medical Imaging 31(6): 1311-1325 (2012) - [j12]Nora Baka, Marleen de Bruijne
Statistical Shape Model-Based Femur Kinematics From Biplane Fluoroscopy. IEEE Trans. Medical Imaging 31(8): 1573-1583 (2012) - [j11]Pechin Lo, Bram van Ginneken
Extraction of Airways From CT (EXACT'09). IEEE Trans. Medical Imaging 31(11): 2093-2107 (2012) - [c59]Babak Ghafaryasl, Fedde van der Lijn, Marielle Poels, Henri A. Vrooman, Mohammad Arfan Ikram, Wiro J. Niessen
A computer aided detection system for cerebral microbleeds in brain MRI. ISBI 2012: 138-141 - [c58]Arna van Engelen, Wiro J. Niessen
Supervised in-vivo plaque characterization incorporating class label uncertainty. ISBI 2012: 246-249 - [c57]Wiro J. Niessen, Henri A. Vrooman, Renske de Boer, Fedde van der Lijn, Hakim C. Achterberg, Marcel Koek, Stefan Klein, Aad van der Lugt, Marleen de Bruijne
Quantitative imaging biomarkers in neurologic disease: Population study perspective. ISBI 2012: 911 - [c56]C. Chen, Lauge Sørensen
Towards exaggerated emphysema stereotypes. Medical Imaging: Computer-Aided Diagnosis 2012: 83150Q - [c55]Andres Arias, Jens Petersen
Carotid Artery Wall Segmentation by Coupled Surface Graph Cuts. MCV 2012: 38-47 - [c54]Aasa Feragen
A Hierarchical Scheme for Geodesic Anatomical Labeling of Airway Trees. MICCAI (3) 2012: 147-155 - [c53]Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne
Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach. MLMI 2012: 160-167 - [i1]Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze:
Towards a theory of statistical tree-shape analysis. CoRR abs/1207.5371 (2012) - 2011
- [j10]Nora Baka, Bart L. Kaptein
2D-3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models. Medical Image Anal. 15(6): 840-850 (2011) - [j9]Alessandro Crimi
Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling. IEEE Trans. Medical Imaging 30(8): 1514-1526 (2011) - [j8]Keelin Murphy
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. IEEE Trans. Medical Imaging 30(11): 1901-1920 (2011) - [j7]Michiel Schaap, Theo van Walsum
Robust Shape Regression for Supervised Vessel Segmentation and its Application to Coronary Segmentation in CTA. IEEE Trans. Medical Imaging 30(11): 1974-1986 (2011) - [c52]Jens Petersen
Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation. IPMI 2011: 49-60 - [c51]Lauge Sørensen
Dissimilarity-Based Classification of Anatomical Tree Structures. IPMI 2011: 475-485 - [c50]Arna van Engelen, Marleen de Bruijne
Plaque characterization in ex vivo MRI evaluated by dense 3D correspondence with histology. Medical Imaging: Computer-Aided Diagnosis 2011: 796329 - [c49]Dirk H. J. Poot, Marleen de Bruijne
Improved Tissue Segmentation by Including an MR Acquisition Model. MBIA 2011: 152-159 - [c48]Nora Baka, Coert Metz, Michiel Schaap, Boudewijn P. F. Lelieveldt
Comparison of Shape Regression Methods under Landmark Position Uncertainty. MICCAI (2) 2011: 434-441 - 2010
- [j6]Pechin Lo, Jon Sporring
Vessel-guided airway tree segmentation: A voxel classification approach. Medical Image Anal. 14(4): 527-538 (2010) - [j5]Lauge Sørensen
Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns. IEEE Trans. Medical Imaging 29(2): 559-569 (2010) - [c47]Aasa Feragen
Geometries on Spaces of Treelike Shapes. ACCV (2) 2010: 160-173 - [c46]Stefan Klein
Early diagnosis of dementia based on intersubject whole-brain dissimilarities. ISBI 2010: 249-252 - [c45]Vladlena Gorbunova, Stanley Durrleman
Lung CT registration combining intensity, curves and surfaces. ISBI 2010: 340-343 - [c44]Pechin Lo, Bram van Ginneken
Vessel tree extraction using locally optimal paths. ISBI 2010: 680-683 - [c43]Nora Baka, Marleen de Bruijne
Confidence of model based shape reconstruction from sparse data. ISBI 2010: 1077-1080 - [c42]Melanie Ganz
MACD: an imaging marker for cardiovascular disease. Medical Imaging: Computer-Aided Diagnosis 2010: 76240P - [c41]Jens Petersen
Quantitative analysis of airway abnormalities in CT. Medical Imaging: Computer-Aided Diagnosis 2010: 76241S - [c40]Lauge Sørensen
Image Dissimilarity-Based Quantification of Lung Disease from CT. MICCAI (1) 2010: 37-44 - [c39]Hakim C. Achterberg, Fedde van der Lijn, Tom den Heijer, Aad van der Lugt, Monique M. B. Breteler
Prediction of Dementia by Hippocampal Shape Analysis. MLMI 2010: 42-49 - [c38]Mehrdad J. Gangeh, Lauge Sørensen
Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung. MCV 2010: 153-163 - [c37]Vladlena Gorbunova, Sander S. A. M. Jacobs, Pechin Lo, Asger Dirksen, Mads Nielsen, Alireza Bab-Hadiashar
Early Detection of Emphysema Progression. MICCAI (2) 2010: 193-200 - [c36]Coert Metz, Nora Baka, Hortense A. Kirisli, Michiel Schaap, Theo van Walsum
Conditional Shape Models for Cardiac Motion Estimation. MICCAI (1) 2010: 452-459 - [c35]Mehrdad J. Gangeh, Lauge Sørensen
A Texton-Based Approach for the Classification of Lung Parenchyma in CT Images. MICCAI (3) 2010: 595-602 - [c34]Lauge Sørensen
Dissimilarity-Based Multiple Instance Learning. SSPR/SPR 2010: 129-138
2000 – 2009
- 2009
- [c33]Stefan Sommer, Aditya Tatu, Chen Chen, D. R. Jurgensen, Marleen de Bruijne, Marco Loog, Mads Nielsen, François Lauze:
Bicycle chain shape models. CVPR Workshops 2009: 157-163 - [c32]Marco Loog, Marleen de Bruijne
Discriminative Shape Alignment. IPMI 2009: 459-466 - [c31]Fedde van der Lijn, Marleen de Bruijne
Cerebellum Segmentation in MRI Using Atlas Registration and Local Multi-Scale Image Descriptors. ISBI 2009: 221-224 - [c30]Lauge Sørensen
Dissimilarity representations in lung parenchyma classification. Medical Imaging: Computer-Aided Diagnosis 2009: 72602Z - [c29]Pechin Lo, Jon Sporring, Jesper Johannes Holst Pedersen, Marleen de Bruijne
Airway Tree Extraction with Locally Optimal Paths. MICCAI (1) 2009: 51-58 - [c28]Lauge Sørensen
Learning COPD Sensitive Filters in Pulmonary CT. MICCAI (1) 2009: 699-706 - [c27]Vladlena Gorbunova, Pechin Lo, Martine Loeve, Harm A. Tiddens, Jon Sporring
Mass preserving registration for lung CT. Medical Imaging: Image Processing 2009: 72592R - 2008
- [j4]Mads Nielsen, Marleen de Bruijne
Special Issue on Tribute Workshop for Peter Johansen. J. Math. Imaging Vis. 31(2-3): 119-120 (2008) - [c26]Marleen de Bruijne
Supervised shape analysis for risk assessment in osteoporosis. ISBI 2008: 1581-1584 - [c25]Vladlena Gorbunova, Pechin Lo, Haseem Ashraf
Weight Preserving Image Registration for Monitoring Disease Progression in Lung CT. MICCAI (2) 2008: 863-870 - [c24]Lauge Sørensen
Texture Classification in Lung CT Using Local Binary Patterns. MICCAI (1) 2008: 934-941 - [c23]Pechin Lo, Marleen de Bruijne
Voxel classification based airway tree segmentation. Medical Imaging: Image Processing 2008: 69141K - [c22]Lauge Sørensen
Multi-object tracking of human spermatozoa. Medical Imaging: Image Processing 2008: 69142C - [c21]Eva M. van Rikxoort, Marleen de Bruijne
Integrating local voxel classification and global shape models for medical image segmentation. Medical Imaging: Image Processing 2008: 69144J - 2007
- [j3]Marleen de Bruijne
Quantitative vertebral morphometry using neighbor-conditional shape models. Medical Image Anal. 11(5): 503-512 (2007) - [c20]Lars A. Conrad-Hansen, Marleen de Bruijne, Mads Nielsen, Maria Petrou:
Semi-automatic detection of calcifications using nonlinear stretching on x-ray images. Medical Imaging: Computer-Aided Diagnosis 2007: 65142N - [c19]Juan Eugenio Iglesias, Marleen de Bruijne
A Family of Principal Component Analyses for Dealing with Outliers. MICCAI (2) 2007: 178-185 - [c18]Lars A. Conrad-Hansen, Marleen de Bruijne
Quantifying Calcification in the Lumbar Aorta on X-Ray Images. MICCAI (2) 2007: 352-359 - [c17]Marleen de Bruijne
Vertebral fracture classification. Medical Imaging: Image Processing 2007: 651219 - [c16]François Lauze, Marleen de Bruijne
Toward automated detection and segmentation of aortic calcifications from radiographs. Medical Imaging: Image Processing 2007: 651239 - 2006
- [c15]Marleen de Bruijne
Shape Particle Guided Tissue Classification. CVPR Workshops 2006: 64 - [c14]Marleen de Bruijne
Quantitative Vertebral Morphometry Using Neighbor-Conditional Shape Models. MICCAI (1) 2006: 1-8 - [c13]Lars A. Conrad-Hansen, Marleen de Bruijne
A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images. Medical Imaging: Image Processing 2006: 61441F - 2005
- [c12]Marleen de Bruijne
A Pattern Classification Approach to Aorta Calcium Scoring in Radiographs. CVBIA 2005: 170-177 - [c11]Lars A. Conrad-Hansen, Marleen de Bruijne
Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images. CVBIA 2005: 409-418 - [c10]Marleen de Bruijne
Multi-object Segmentation Using Shape Particles. IPMI 2005: 762-773 - [c9]Michael Tillge Lund, Marleen de Bruijne
Shape regression for vertebra fracture quantification. Medical Imaging: Image Processing 2005 - 2004
- [j2]Marleen de Bruijne
Interactive segmentation of abdominal aortic aneurysms in CTA images. Medical Image Anal. 8(2): 127-138 (2004) - [c8]Marleen de Bruijne
Image Segmentation by Shape Particle Filtering. ICPR (3) 2004: 722-725 - [c7]Marleen de Bruijne
Shape Particle Filtering for Image Segmentation. MICCAI (1) 2004: 168-175 - 2003
- [j1]Marleen de Bruijne
Localization and Segmentation of Aortic Endografts using Marker Detection. IEEE Trans. Medical Imaging 22(4): 473-482 (2003) - [c6]Marleen de Bruijne
Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images. IPMI 2003: 136-147 - [c5]Marleen de Bruijne
Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images. MICCAI (2) 2003: 538-545 - [c4]Marleen de Bruijne
Model-based segmentation of abdominal aortic aneurysms in CTA images. Medical Imaging: Image Processing 2003 - [c3]Bram van Ginneken
Interactive shape models. Medical Imaging: Image Processing 2003 - 2002
- [c2]Marleen de Bruijne
Active-shape-model-based segmentation of abdominal aortic aneurysms in CTA images. Medical Imaging: Image Processing 2002 - 2001
- [c1]Marleen de Bruijne
Semiautomatic aortic endograft localization for postoperative evaluation of endovascular aneurysm treatment. Medical Imaging: Image Processing 2001
Coauthor Index
Silas Nyboe Ørting
aka: Silas N. Ørting
aka: Silas N. Ørting
Jesper Johannes Holst Pedersen
aka: Jesper Holst Pedersen
aka: Jesper Holst Pedersen
Laura H. Thomsen
aka: Laura Hohwu Thomsen
aka: Laura Hohwu Thomsen
Harm A. Tiddens
aka: Harm A. W. M. Tiddens
aka: Harm A. W. M. Tiddens
Mathilde M. W. Wille
aka: Mathilde Marie Winkler Wille
aka: Mathilde Marie Winkler Wille
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