
Marleen de Bruijne
Person information
- affiliation: Erasmus MC, Rotterdam, The Netherlands
- affiliation: University of Copenhagen, Denmark
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2020 – today
- 2020
- [j47]Mingquan Lin
, He Cui, Weifu Chen, Arna van Engelen, Marleen de Bruijne, M. Reza Azarpazhooh, Seyed Mojtaba Sohrevardi, John David Spence
, Bernard Chiu:
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
, 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:
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
, 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:
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation. Medical Image Anal. 63: 101698 (2020) - [j44]Raghavendra Selvan
, Thomas Kipf, Max Welling, Antonio Garcia-Uceda Juarez, Jesper H. Pedersen, Jens Petersen
, Marleen de Bruijne:
Graph refinement based airway extraction using mean-field networks and graph neural networks. Medical Image Anal. 64: 101751 (2020) - [j43]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. Medical Image Anal. 65: 101767 (2020) - [j42]Hakim C. Achterberg
, Johan J. de Rooi, Meike W. Vernooij
, Mohammad Arfan Ikram
, Wiro J. Niessen, Paul H. C. Eilers
, Marleen de Bruijne:
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
, Jens Petersen
, Laura H. Thomsen, Mathilde M. W. Wille
, Marleen de Bruijne:
Learning to Quantify Emphysema Extent: What Labels Do We Need? IEEE J. Biomed. Health Informatics 24(4): 1149-1159 (2020) - [j40]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
:
Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem. IEEE Trans. Medical Imaging 39(4): 854-865 (2020) - [c103]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 - [c102]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 - [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, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger:
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
, Hieab H. 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. Medical Image Anal. 51: 89-100 (2019) - [j38]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. Medical Image Anal. 54: 280-296 (2019) - [j37]Florian Dubost, Pinar Yilmaz, Hieab H. Adams, Gerda Bortsova, Mohammad Arfan Ikram
, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne:
Enlarged perivascular spaces in brain MRI: Automated quantification in four regions. NeuroImage 185: 534-544 (2019) - [j36]Annegreet van Opbroek
, Hakim C. Achterberg
, Meike W. Vernooij
, Marleen de Bruijne
:
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
, Marleen de Bruijne
:
Learning Cross-Modality Representations From Multi-Modal Images. IEEE Trans. Medical Imaging 38(2): 638-648 (2019) - [j34]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) - [c100]Vikram Venkatraghavan
, Florian Dubost, Esther E. Bron, Wiro J. Niessen, Marleen de Bruijne, Stefan Klein:
Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia. IPMI 2019: 169-180 - [c99]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. IPMI 2019: 360-371 - [c98]Chaoping Zhang, Florian Dubost, Marleen de Bruijne, Stefan Klein, Dirk H. J. Poot:
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
, Steffen Oeltze-Jafra, Marleen de Bruijne:
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
, Wiro J. Niessen, Hieab H. Adams, Meike W. Vernooij, Marleen de Bruijne:
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network. MICCAI (4) 2019: 234-242 - [c94]Florian Dubost, Gerda Bortsova, Hieab H. Adams, Mohammad Arfan Ikram
, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne:
Hydranet: Data Augmentation for Regression Neural Networks. MICCAI (4) 2019: 438-446 - [c93]Shuai Chen, Gerda Bortsova, Antonio García-Uceda Juárez, Gijs van Tulder, Marleen de Bruijne:
Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation. MICCAI (3) 2019: 457-465 - [c92]Antonio Garcia-Uceda Juarez, Raghavendra Selvan
, Zaigham Saghir, Marleen de Bruijne:
A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs. MLMI@MICCAI 2019: 583-591 - [c91]Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne:
Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations. MICCAI (6) 2019: 810-818 - [i35]Vikram Venkatraghavan, Florian Dubost, Esther E. Bron, Wiro J. Niessen, Marleen de Bruijne, Stefan Klein:
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 H. 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 H. 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, Zaigham Saghir, Marleen de Bruijne:
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, Inger Mechlenburg
, Maiken Stilling
, Lone Rømer, Ryan J. Murphy, Mehran Armand, Jyri Lepistö, Marleen de Bruijne, Kjeld Søballe:
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
, Isabel Pino Peña, Jesper Holst Pedersen
, David A. Lynch, Lauge Sørensen
, Marleen de Bruijne
:
Transfer Learning for Multicenter Classification of Chronic Obstructive Pulmonary Disease. IEEE J. Biomed. Health Informatics 22(5): 1486-1496 (2018) - [c90]Ruwan B. Tennakoon
, Amirali K. Gostar
, Reza Hoseinnezhad
, Marleen de Bruijne
, Alireza Bab-Hadiashar
:
Deep Multi-instance Volumetric Image Classification with Extreme Value Distributions. ACCV (3) 2018: 590-604 - [c89]Silas Nyboe Ørting
, Jens Petersen
, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne:
Detecting emphysema with multiple instance learning. ISBI 2018: 510-513 - [c88]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. 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
, Max Welling, Jesper Holst Pedersen, Jens Petersen
, Marleen de Bruijne:
Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction. MICCAI (2) 2018: 750-758 - [c85]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. 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 H. 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 H. 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, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne:
Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks. CoRR abs/1811.08674 (2018) - 2017
- [c82]Raghavendra Selvan
, Jens Petersen
, Jesper Holst Pedersen, Marleen de Bruijne:
Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing. GRAIL/MFCA/MICGen@MICCAI 2017: 53-63 - [c81]Silas Nyboe Ørting
, Veronika Cheplygina, Jens Petersen
, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne:
Crowdsourced Emphysema Assessment. CVII-STENT/LABELS@MICCAI 2017: 126-135 - [c80]Florian Dubost, Gerda Bortsova, Hieab H. 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. MICCAI (3) 2017: 214-221 - [c79]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 - [c78]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
:
Evaluating Classifiers for Atherosclerotic Plaque Component Segmentation in MRI. MIUA 2017: 156-168 - [c77]Tatyana Ivanovska, Pierluigi Ciet, Adria Perez-Rovira, Anh Nguyen, Harm A. Tiddens, Liesbeth Duijts, Marleen de Bruijne
, Florentin Wörgötter:
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 H. 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
, Arna van Engelen, Mariana Selwaness, Aad van der Lugt, Wiro J. Niessen
, Marleen de Bruijne
:
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
, Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne
:
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
, Adria Perez-Rovira, Wieying Kuo, Harm A. W. M. Tiddens, Marleen de Bruijne
:
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
, Marcel Breeuwer, Willem H. Bouvy, Jeroen de Bresser
, Amir Alansary, Marleen de Bruijne
, Aaron Carass
, Ayman El-Baz
, Amod Jog, Ranveer Katyal, Ali R. Khan
, Fedde van der Lijn, Qaiser Mahmood, Ryan Mukherjee, Annegreet van Opbroek, Sahil Paneri, Sérgio Pereira
, Mikael Persson
, Martin Rajchl, Duygu Sarikaya, Örjan Smedby
, Carlos A. Silva
, Henri A. Vrooman, Saurabh Vyas, Chunliang Wang, Liang Zhao, Geert Jan Biessels, Max A. Viergever:
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
, Meike W. Vernooij, Mohammad Arfan Ikram, Marleen de Bruijne
:
Weighting training images by maximizing distribution similarity for supervised segmentation across scanners. Medical Image Anal. 24(1): 245-254 (2015) - [j26]Annegreet van Opbroek
, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne
:
Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols. IEEE Trans. Medical Imaging 34(5): 1018-1030 (2015) - [j25]Aasa Feragen
, Jens Petersen
, Megan Owen, Pechin Lo, Laura Hohwu Thomsen, Mathilde Marie Winkler Wille, Asger Dirksen, Marleen de Bruijne
:
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
, M. Eline Kooi
, Marleen de Bruijne
:
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
, Lauge Sørensen
, David M. J. Tax, Marleen de Bruijne
, Marco Loog:
Label Stability in Multiple Instance Learning. MICCAI (1) 2015: 539-546 - 2014
- [j23]Jens Petersen
, Mads Nielsen, Pechin Lo, Lars Haug Nordenmark, Jesper Johannes Holst Pedersen, Mathilde Marie Winkler Wille, Asger Dirksen, Marleen de Bruijne
:
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
, Alireza Bab-Hadiashar
, Zhenwei Cao
, Marleen de Bruijne
:
Nonrigid Registration of Volumetric Images Using Ranked Order Statistics. IEEE Trans. Medical Imaging 33(2): 422-432 (2014) - [c70]Veronika Cheplygina
, Lauge Sørensen
, David M. J. Tax, Jesper Johannes Holst Pedersen, Marco Loog, Marleen de Bruijne
:
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
, Lisan Neefjes, Robert Jan van Geuns, Boudewijn P. F. Lelieveldt
, Wiro J. Niessen
, Theo van Walsum, Marleen de Bruijne
:
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
, Pechin Lo, Marleen de Bruijne
, Mads Nielsen, François Lauze
:
Toward a Theory of Statistical Tree-Shape Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 2008-2021 (2013) - [j19]Alireza Bab-Hadiashar
, Ruwan B. Tennakoon
, Marleen de Bruijne
:
Quantification of Smoothing Requirement for 3D Optic Flow Calculation of Volumetric Images. IEEE Trans. Image Process. 22(6): 2128-2137 (2013) - [c68]Aasa Feragen
, Megan Owen, Jens Petersen
, Mathilde M. W. Wille, Laura H. Thomsen, Asger Dirksen, Marleen de Bruijne
:
Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees. IPMI 2013: 74-85 - [c67]Aasa Feragen
, Jens Petersen
, Dominik Grimm
, Asger Dirksen, Jesper Johannes Holst Pedersen, Karsten M. Borgwardt
, Marleen de Bruijne
:
Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry. IPMI 2013: 171-183 - [c66]Ruwan Bandara Tennakoon
, Alireza Bab-Hadiashar
, Marleen de Bruijne
, Zhenwei Cao
:
Efficient nonrigid registration using ranked order statistics. ISBI 2013: 496-499 - [c65]Sepp de Raedt, Inger Mechlenburg
, Maiken Stilling
, Lone Rømer, Kjeld Søballe, Marleen de Bruijne
:
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
, Marc Modat, Manuel Jorge Cardoso, Asger Dirksen, Sébastien Ourselin, Marleen de Bruijne
:
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
, Anouk C. van Dijk, Aad van der Lugt, Wiro J. Niessen
, Stefan Klein, Marleen de Bruijne
:
Carotid Artery Lumen Segmentation in 3D Free-Hand Ultrasound Images Using Surface Graph Cuts. MICCAI (2)