Marleen de Bruijne

According to our database, Marleen de Bruijne authored at least 189 papers between 2001 and 2024.

Collaborative distances:

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

2024

<i>Where is VALDO?</i> 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, Shuai Chen, Qi Dou, Tavia E. Evans, Ivan Ezhov, Haojun Gao, Marta Gironés-Sangüesa, Juan Domingo Gispert, Beatriz Gomez Anson, Alun D. Hughes, Mohammad Arfan Ikram, Silvia Ingala, Hans Rolf Jäger, Florian Kofler, Hugo J. Kuijf, Denis Kutnar, Minho Lee, Bo Li, Luigi Lorenzini, Bjoern H. Menze, José Luis Molinuevo, Yiwei Pan, Élodie Puybareau, Rafael Rehwald, Ruisheng Su, Pengcheng Shi, Lorna Smith, Therese Tillin, Guillaume Tochon, Hélène Urien, Bas H. M. van der Velden, Isabelle F. van der Velpen, Benedikt Wiestler, Frank J. Wolters, Pinar Yilmaz, Marius de Groot, Meike W. Vernooij, Marleen de Bruijne

Medical Image Anal., January, 2024

2023

Nested star-shaped objects segmentation using diameter annotations.

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

Medical Image Anal., December, 2023

Unpaired, unsupervised domain adaptation assumes your domains are already similar.

Gijs van Tulder, Marleen de Bruijne

Medical Image Anal., 2023

Editorial for the MEDIA MICCAI special issue 2021.

Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert

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

CoRR, 2023

Source Identification: A Self-Supervision Task for Dense Prediction.

Shuai Chen, Subhradeep Kayal, Marleen de Bruijne

CoRR, 2023

On the dice loss gradient and the ways to mimic it.

Hoel Kervadec, Marleen de Bruijne

CoRR, 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, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.

CoRR, 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

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 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, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.

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, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig H. Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau

Medical Image Anal., 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

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

Label Refinement Network from Synthetic Error Augmentation for Medical Image Segmentation.

Shuai Chen, Antonio Garcia-Uceda Juarez, Jiahang Su, Gijs van Tulder, Lennard Wolff, Theo van Walsum, Marleen de Bruijne

CoRR, 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, Shuai Chen, Qi Dou, Tavia E. Evans, Ivan Ezhov, Haojun Gao, Marta Gironés-Sangüesa, Juan Domingo Gispert, Beatriz Gomez Anson, Alun D. Hughes, Mohammad Arfan Ikram, Silvia Ingala, Hans Rolf Jäger, Florian Kofler, Hugo J. Kuijf, Denis Kutnar, Minho Lee, Bo Li, Luigi Lorenzini, Bjoern H. Menze, José Luis Molinuevo, Yiwei Pan, Élodie Puybareau, Rafael Rehwald, Ruisheng Su, Pengcheng Shi, Lorna Smith, Therese Tillin, Guillaume Tochon, Hélène Urien, Bas H. M. van der Velden, Isabelle F. van der Velpen, Benedikt Wiestler, Frank J. Wolters, Pinar Yilmaz, Marius de Groot, Meike W. Vernooij, Marleen de Bruijne

CoRR, 2022

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

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

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

2021

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

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

Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.

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, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig H. Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau

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

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

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

Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging.

Marleen de Bruijne

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

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 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

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

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

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, Markus D. Schirmer

Medical Image Anal., 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

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

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

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

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

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

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

Region-of-Interest Guided Supervoxel Inpainting for Self-supervision.

Subhradeep Kayal, Shuai Chen, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

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

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

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

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

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

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

Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-Images.

Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Learning Cross-Modality Representations From Multi-Modal Images.

Gijs van Tulder, 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

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

Enlarged perivascular spaces in brain MRI: Automated quantification in four regions.

Florian Dubost, Pinar Yilmaz, Hieab H. Adams, Gerda Bortsova, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne

NeuroImage, 2019

3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI.

Florian Dubost, Hieab H. Adams, Gerda Bortsova, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne

Medical Image Anal., 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

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

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, Markus D. Schirmer

CoRR, 2019

Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks.

Florian Dubost, Hieab H. Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne

CoRR, 2019

APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network.

Chaoping Zhang, Florian Dubost, Marleen de Bruijne, Stefan Klein, Dirk H. J. Poot

Proceedings of the Machine Learning for Medical Image Reconstruction, 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 H. Adams, Meike W. Vernooij, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 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

Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 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

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019

Hydranet: Data Augmentation for Regression Neural Networks.

Florian Dubost, Gerda Bortsova, Hieab H. Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations.

Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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

Proceedings of the Information Processing in Medical Imaging, 2019

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

Proceedings of the Information Processing in Medical Imaging, 2019

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

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

An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images.

Shuai Chen, 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

Extraction of Airways using Graph Neural Networks.

Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne

CoRR, 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

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

Proceedings of the Medical Imaging 2018: Image Processing, 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

Proceedings of the Medical Imaging 2018: Image Processing, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 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

Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

Automatic Airway Segmentation in Chest CT Using Convolutional Neural Networks.

A. Garcia-Uceda Juarez, Harm A. W. M. Tiddens, Marleen de Bruijne

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Detecting emphysema with multiple instance learning.

Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Deep Multi-instance Volumetric Image Classification with Extreme Value Distributions.

Ruwan B. Tennakoon, Amirali K. Gostar, Reza Hoseinnezhad, Marleen de Bruijne, Alireza Bab-Hadiashar

Proceedings of the Computer Vision - ACCV 2018, 2018

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

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

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

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

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP, Porto, Portugal, February 27, 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

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing.

Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne

Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

Crowdsourced Emphysema Assessment.

Silas Nyboe Ørting, Veronika Cheplygina, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne

Proceedings of the Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2017

GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network.

Florian Dubost, Gerda Bortsova, Hieab H. Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne

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

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

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

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

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

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

Machine learning approaches in medical image analysis: From detection to diagnosis.

Marleen de Bruijne

Medical Image Anal., 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

Representation Learning for Cross-Modality Classification.

Gijs van Tulder, Marleen de Bruijne

Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 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

Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

Asymmetric similarity-weighted ensembles for image segmentation.

Veronika Cheplygina, Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

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

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

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

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

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, 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

Comput. Intell. Neurosci., 2015

Why Does Synthesized Data Improve Multi-sequence Classification?

Gijs van Tulder, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Label Stability in Multiple Instance Learning.

Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Marleen de Bruijne, Marco Loog

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Feature-Space Transformation Improves Supervised Segmentation Across Scanners.

Annegreet van Opbroek, Hakim C. Achterberg, Marleen de Bruijne

Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015

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

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

Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine.

Gijs van Tulder, Marleen de Bruijne

Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

Classification of COPD with Multiple Instance Learning.

Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Jesper Johannes Holst Pedersen, Marco Loog, Marleen de Bruijne

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

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

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

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

Scalable kernels for graphs with continuous attributes.

Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen de Bruijne, Karsten M. Borgwardt

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 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

Proceedings of the Medical Imaging 2013: Image Processing, 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 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

Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 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, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Automated measurement of diagnostic angles for hip dysplasia.

Sepp de Raedt, Inger Mechlenburg, Maiken Stilling, Lone Rømer, Kjeld Søballe, Marleen de Bruijne

Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Efficient nonrigid registration using ranked order statistics.

Ruwan Bandara Tennakoon, Alireza Bab-Hadiashar, Marleen de Bruijne, Zhenwei Cao

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 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

Proceedings of the Information Processing in Medical Imaging, 2013

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

Proceedings of the Information Processing in Medical Imaging, 2013

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

Regression-Based Cardiac Motion Prediction From Single-Phase CTA.

Coert Metz, Nora Baka, Hortense A. Kirisli, Michiel Schaap, Stefan Klein, Lisan Neefjes, Nico Mollet, Boudewijn P. F. Lelieveldt, Marleen de Bruijne, Wiro J. Niessen, Theo van Walsum

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, Christian Bauer, Reinhard Beichel, Carlos S. Mendoza, Rafael Wiemker, Jaesung Lee, Anthony P. Reeves, Silvia Born, Oliver Weinheimer, Eva M. van Rikxoort, Juerg Tschirren, Kensaku Mori, Benjamin Odry, David P. Naidich, Ieneke Hartmann, Eric A. Hoffman, Mathias Prokop, Jesper Johannes Holst Pedersen, Marleen de Bruijne

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, Tom den Heijer, Yoo Young Hoogendam, Aad van der Lugt, Monique M. B. Breteler, Wiro J. Niessen

IEEE Trans. Medical Imaging, 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 measurement of local white matter lesion volume.

Fedde van der Lijn, Benjamin F. J. Verhaaren, Mohammad Arfan Ikram, Stefan Klein, 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

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

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

Towards a theory of statistical tree-shape analysis

Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze

CoRR, 2012

Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach.

Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne

Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 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

Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

Towards exaggerated emphysema stereotypes.

C. Chen, Lauge Sørensen, François Lauze, Christian Igel, Marco Loog, Aasa Feragen, Marleen de Bruijne, Mads Nielsen

Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 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, Aad van der Lugt, Marleen de Bruijne, Mohammad Arfan Ikram, Meike W. Vernooij

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 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

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Supervised in-vivo plaque characterization incorporating class label uncertainty.

Arna van Engelen, Wiro J. Niessen, Stefan Klein, Harald C. Groen, Hence J. M. Verhagen, Jolanda Wentzel, Aad van der Lugt, Marleen de Bruijne

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

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

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge.

Keelin Murphy, Bram van Ginneken, Joseph M. Reinhardt, Sven Kabus, Kai Ding, Xiang Deng, Kunlin Cao, Kaifang Du, Gary E. Christensen, Vincent Garcia, Tom Vercauteren, Nicholas Ayache, Olivier Commowick, Grégoire Malandain, Ben Glocker, Nikos Paragios, Nassir Navab, Vladlena Gorbunova, Jon Sporring, Marleen de Bruijne, Xiao Han, Mattias P. Heinrich, Julia A. Schnabel, Mark Jenkinson, Cristian Lorenz, Marc Modat, Jamie McClelland, Sébastien Ourselin, Sascha E. A. Muenzing, Max A. Viergever, Dante De Nigris, D. Louis Collins, Tal Arbel, Marta Peroni, Rui Li, Gregory C. Sharp, Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, Dirk Smeets, Dirk Loeckx, Gang Song, Nicholas J. Tustison, Brian B. Avants, James C. Gee, Marius Staring, Stefan Klein, Berend C. Stoel, Martin Urschler, Manuel Werlberger, Jef Vandemeulebroucke, Simon Rit, David Sarrut, Josien P. W. Pluim

IEEE Trans. Medical Imaging, 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

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

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

Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Plaque characterization in ex vivo MRI evaluated by dense 3D correspondence with histology.

Arna van Engelen, Marleen de Bruijne, Stefan Klein, Hence J. M. Verhagen, Harald C. Groen, Jolanda Wentzel, Aad van der Lugt, Wiro J. Niessen

Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Dissimilarity-Based Classification of Anatomical Tree Structures.

Lauge Sørensen, Pechin Lo, Asger Dirksen, Jens Petersen, Marleen de Bruijne

Proceedings of the Information Processing in Medical Imaging, 2011

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

Proceedings of the Information Processing in Medical Imaging, 2011

2010

Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns.

Lauge Sørensen, Saher B. Shaker, Marleen de Bruijne

IEEE Trans. Medical Imaging, 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

Dissimilarity-Based Multiple Instance Learning.

Lauge Sørensen, Marco Loog, David M. J. Tax, Wan-Jui Lee, Marleen de Bruijne, Robert P. W. Duin

Proceedings of the Structural, 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Conditional Shape Models for Cardiac Motion Estimation.

Coert Metz, Nora Baka, Hortense A. Kirisli, Michiel Schaap, Theo van Walsum, Stefan Klein, Lisan Neefjes, Nico Mollet, Boudewijn P. F. Lelieveldt, Marleen de Bruijne

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

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

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

Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 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

Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

Quantitative analysis of airway abnormalities in CT.

Jens Petersen, Pechin Lo, Mads Nielsen, Goutham Edula, Haseem Ashraf, Asger Dirksen, Marleen de Bruijne

Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

MACD: an imaging marker for cardiovascular disease.

Melanie Ganz, Marleen de Bruijne, Mads Nielsen

Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

Vessel tree extraction using locally optimal paths.

Pechin Lo, Bram van Ginneken, Marleen de Bruijne

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Early diagnosis of dementia based on intersubject whole-brain dissimilarities.

Stefan Klein, 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

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Lung CT registration combining intensity, curves and surfaces.

Vladlena Gorbunova, Stanley Durrleman, Pechin Lo, Xavier Pennec, Marleen de Bruijne

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 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

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Geometries on Spaces of Treelike Shapes.

Aasa Feragen, François Lauze, Pechin Lo, Marleen de Bruijne, Mads Nielsen

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

Mass preserving registration for lung CT.

Vladlena Gorbunova, Pechin Lo, Martine Loeve, Harm A. Tiddens, Jon Sporring, Mads Nielsen, Marleen de Bruijne

Proceedings of the Medical Imaging 2009: Image Processing, 2009

Learning COPD Sensitive Filters in Pulmonary CT.

Lauge Sørensen, Pechin Lo, Haseem Ashraf, Jon Sporring, Mads Nielsen, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Airway Tree Extraction with Locally Optimal Paths.

Pechin Lo, Jon Sporring, Jesper Johannes Holst Pedersen, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Dissimilarity representations in lung parenchyma classification.

Lauge Sørensen, Marleen de Bruijne

Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 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, Reinhard Hameeteman, Monique M. B. Breteler, Wiro J. Niessen

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Discriminative Shape Alignment.

Marco Loog, Marleen de Bruijne

Proceedings of the Information Processing in Medical Imaging, 2009

Bicycle chain shape models.

Stefan Sommer, Aditya Tatu, Chen Chen, D. R. Jurgensen, Marleen de Bruijne, Marco Loog, Mads Nielsen, François Lauze

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

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

Multi-object tracking of human spermatozoa.

Lauge Sørensen, Jakob Østergaard, Peter Johansen, Marleen de Bruijne

Proceedings of the Medical Imaging 2008: 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

Proceedings of the Medical Imaging 2008: Image Processing, 2008

Voxel classification based airway tree segmentation.

Pechin Lo, Marleen de Bruijne

Proceedings of the Medical Imaging 2008: Image Processing, 2008

Texture Classification in Lung CT Using Local Binary Patterns.

Lauge Sørensen, Saher B. Shaker, Marleen de Bruijne

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Supervised shape analysis for risk assessment in osteoporosis.

Marleen de Bruijne, Paola Pettersen

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

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

Toward automated detection and segmentation of aortic calcifications from radiographs.

François Lauze, Marleen de Bruijne

Proceedings of the Medical Imaging 2007: Image Processing, 2007

Vertebral fracture classification.

Marleen de Bruijne, Paola C. Pettersen, László B. Tankó, Mads Nielsen

Proceedings of the Medical Imaging 2007: Image Processing, 2007

A Family of Principal Component Analyses for Dealing with Outliers.

Juan Eugenio Iglesias, Marleen de Bruijne, Marco Loog, François Lauze, Mads Nielsen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Semi-automatic detection of calcifications using nonlinear stretching on x-ray images.

Lars A. Conrad-Hansen, Marleen de Bruijne, Mads Nielsen, Maria Petrou

Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

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

Proceedings of the Medical Imaging 2006: Image Processing, 2006

Shape Particle Guided Tissue Classification.

Marleen de Bruijne

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005

Shape regression for vertebra fracture quantification.

Michael Tillge Lund, Marleen de Bruijne, László B. Tankó, Mads Nielsen

Proceedings of the Medical Imaging 2005: Image Processing, 2005

Multi-object Segmentation Using Shape Particles.

Marleen de Bruijne, Mads Nielsen

Proceedings of the Information Processing in Medical Imaging, 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

Proceedings of the Computer Vision for Biomedical Image Applications, 2005

A Pattern Classification Approach to Aorta Calcium Scoring in Radiographs.

Marleen de Bruijne

Proceedings of the Computer Vision for Biomedical Image Applications, 2005

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

Shape Particle Filtering for Image Segmentation.

Marleen de Bruijne, Mads Nielsen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Image Segmentation by Shape Particle Filtering.

Marleen de Bruijne, Mads Nielsen

Proceedings of the 17th International Conference on Pattern Recognition, 2004

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

Interactive shape models.

Bram van Ginneken, Marleen de Bruijne, Marco Loog, Max A. Viergever

Proceedings of the Medical Imaging 2003: Image Processing, 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

Proceedings of the Medical Imaging 2003: Image Processing, 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

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

Proceedings of the Information Processing in Medical Imaging, 2003

2002

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

Proceedings of the Medical Imaging 2002: Image Processing, 2002

2001

Semiautomatic aortic endograft localization for postoperative evaluation of endovascular aneurysm treatment.

Marleen de Bruijne, Wiro J. Niessen, J. B. Antoine Maintz, Max A. Viergever

Proceedings of the Medical Imaging 2001: Image Processing, 2001