Marleen de Bruijne

发表

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, 2020, Comput. Biol. Medicine.

First International Workshop on Pulmonary Image Analysis

Marleen de Bruijne, Christine H. Lorenz, Joseph M. Reinhardt, 2008 .

Carotid Artery Wall Segmentation in Multispectral MRI by Coupled Optimal Surface Graph Cuts

Arna van Engelen, Marleen de Bruijne, Wiro J. Niessen, 2016, IEEE Transactions on Medical Imaging.

A Pattern Classification Approach to Aorta Calcium Scoring in Radiographs

Marleen de Bruijne, Marleen de Bruijne, 2005, CVBIA.

An Airway Tree-shape Model for Geodesic Airway Branch Labeling

Marleen de Bruijne, Joseph M. Reinhardt, Mads Nielsen, 2011 .

Toward automated detection and segmentation of aortic calcifications from radiographs

Marleen de Bruijne, François Lauze, Marleen de Bruijne, 2007, SPIE Medical Imaging.

Classification of COPD with Multiple Instance Learning

Lauge Sørensen, Marleen de Bruijne, David M. J. Tax, 2014, 2014 22nd International Conference on Pattern Recognition.

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

Stefan Klein, Arna van Engelen, Marleen de Bruijne, 2011, Medical Imaging.

Label Stability in Multiple Instance Learning

Lauge Sørensen, Marleen de Bruijne, David M. J. Tax, 2015, MICCAI.

Representation Learning for Cross-Modality Classification

Marleen de Bruijne, Gijs van Tulder, Gijs van Tulder, 2016, MCV/BAMBI@MICCAI.

Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images

Max A. Viergever, Marleen de Bruijne, Wiro J. Niessen, 2003, MICCAI.

Comparison of Shape Regression Methods under Landmark Position Uncertainty

Marleen de Bruijne, Michiel Schaap, Coert Metz, 2011, MICCAI.

Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia pdf

Stefan Klein, Marleen de Bruijne, Wiro J. Niessen, 2019, IPMI.

Multi-object Segmentation Using Shape Particles

Marleen de Bruijne, Mads Nielsen, Marleen de Bruijne, 2005, IPMI.

Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees

Marleen de Bruijne, Aasa Feragen, Asger Dirksen, 2013, IPMI.

Extraction of Airways using Graph Neural Networks pdf

Max Welling, Marleen de Bruijne, Jens Petersen, 2018, ArXiv.

Texture Classification in Pulmonary CT

Lauge Sørensen, Mehrdad J. Gangeh, Marleen de Bruijne, 2011 .

Hydranet: Data Augmentation for Regression Neural Networks

Marleen de Bruijne, Wiro Niessen, M. Arfan Ikram, 2019, MICCAI.

Shape Particle Filtering for Image Segmentation

Marleen de Bruijne, Mads Nielsen, Marleen de Bruijne, 2004, MICCAI.

Geometries on Spaces of Treelike Shapes

Marleen de Bruijne, Mads Nielsen, François Lauze, 2010, ACCV.

Cerebellum segmentation in MRI using atlas registration and local multi-scale image descriptors

Stefan Klein, Marleen de Bruijne, Wiro J. Niessen, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Carotid Artery Wall Segmentation by Coupled Surface Graph Cuts

Arna van Engelen, Marleen de Bruijne, Wiro J. Niessen, 2012, MCV.

Mass preserving image registration for lung CT

Marleen de Bruijne, Jon Sporring, Mads Nielsen, 2012, Medical Image Anal..

Detecting emphysema with multiple instance learning

Marleen de Bruijne, Jens Petersen, Mathilde M. W. Wille, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

A Texton-Based Approach for the Classification of Lung Parenchyma in CT Images

Lauge Sørensen, Mohamed S. Kamel, Mehrdad J. Gangeh, 2010, MICCAI.

Active-shape-model-based segmentation of abdominal aortic aneurysms in CTA images

Max A. Viergever, Marleen de Bruijne, Wiro J. Niessen, 2002, SPIE Medical Imaging.

A computer aided detection system for cerebral microbleeds in brain MRI

Marleen de Bruijne, Wiro J. Niessen, Aad van der Lugt, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine

Marleen de Bruijne, Gijs van Tulder, Gijs van Tulder, 2014, MCV.

Multi-object tracking of human spermatozoa

Lauge Sørensen, Marleen de Bruijne, Peter Johansen, 2008, SPIE Medical Imaging.

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

Marleen de Bruijne, Wiro Niessen, M. Arfan Ikram, 2018, Medical Image Anal..

Prediction of Dementia by Hippocampal Shape Analysis

Marleen de Bruijne, Wiro J. Niessen, Aad van der Lugt, 2010, MLMI.

Local appearance features for robust MRI brain structure segmentation across scanning protocols

Marleen de Bruijne, Wiro J. Niessen, Fedde van der Lijn, 2013, Medical Imaging.

Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols

Marleen de Bruijne, Meike W. Vernooij, Mohammad Arfan Ikram, 2015, IEEE Trans. Medical Imaging.

Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses

Marleen de Bruijne, Jens Petersen, Raghavendra Selvan, 2018, Medical physics.

Conditional Shape Models for Cardiac Motion Estimation

Stefan Klein, Marleen de Bruijne, Theo van Walsum, 2010, MICCAI.

Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors pdf

Marleen de Bruijne, Bram van Ginneken, Laurens Hogeweg, 2020, ArXiv.

Deep Multi-instance Volumetric Image Classification with Extreme Value Distributions

Marleen de Bruijne, Alireza Bab-Hadiashar, Reza Hoseinnezhad, 2018, ACCV.

Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans

Marleen de Bruijne, Jens Petersen, Veronika Cheplygina, 2018, CVII-STENT/LABELS@MICCAI.

Marleen de Bruijne, Veronika Cheplygina, M. Arfan Ikram, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Early diagnosis of dementia based on intersubject whole-brain dissimilarities

Stefan Klein, Robert P. W. Duin, Marleen de Bruijne, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Quantification of lung abnormalities in cystic fibrosis using deep networks

Marleen de Bruijne, Filipe Marques, Florian Dubost, 2018, Medical Imaging.

Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing

Marleen de Bruijne, Jens Petersen, Raghavendra Selvan, 2017, GRAIL/MFCA/MICGen@MICCAI.

Automatic emphysema detection using weakly labeled HRCT lung images

Marleen de Bruijne, Veronika Cheplygina, Lasse Riis Østergaard, 2017, PloS one.

Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI across Sites

Marleen de Bruijne, Wiro Niessen, Steffen Oeltze-Jafra, 2019, bioRxiv.

Quantitative Airway Analysis in Longitudinal Studies Using Groupwise Registration and 4D Optimal Surfaces

Sébastien Ourselin, Marc Modat, Marleen de Bruijne, 2013, MICCAI.

Early Experiences with Crowdsourcing Airway Annotations in Chest CT

Marleen de Bruijne, Veronika Cheplygina, Adria Perez-Rovira, 2016, LABELS/DLMIA@MICCAI.

Statistical Shape Model-Based Femur Kinematics From Biplane Fluoroscopy

Marleen de Bruijne, Theo van Walsum, Michiel Schaap, 2012, IEEE Transactions on Medical Imaging.

Wan-Jui Lee, Lauge Sørensen, Robert P. W. Duin, 2010, SSPR/SPR.

Interactive shape models

Max A. Viergever, Marleen de Bruijne, Bram van Ginneken, 2003, SPIE Medical Imaging.

Vessel tree extraction using locally optimal paths

Marleen de Bruijne, Bram van Ginneken, Pechin Lo, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans pdf

Marleen de Bruijne, Wiro J. Niessen, Oliver Werner, 2020, ArXiv.

Extraction of airway trees using multiple hypothesis tracking and template matching.

Marleen de Bruijne, Raghavendra Selvan, Jens Petersen, 2016 .

DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset pdf

Andreas Nürnberger, Marleen de Bruijne, Oliver Speck, 2020, ArXiv.

Shape regression for vertebra fracture quantification

Marleen de Bruijne, Mads Nielsen, László B. Tankó, 2005, SPIE Medical Imaging.

Nonrigid Registration of Volumetric Images Using Ranked Order Statistics

Marleen de Bruijne, Zhenwei Cao, Alireza Bab-Hadiashar, 2014, IEEE Transactions on Medical Imaging.

Lauge Sørensen, Marleen de Bruijne, Marleen de Bruijne, 2009, Medical Imaging.

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

Marleen de Bruijne, Wiro Niessen, M. Arfan Ikram, 2019, Medical Image Anal..

Evaluating Classifiers for Atherosclerotic Plaque Component Segmentation in MRI

René M. Botnar, Arna van Engelen, Marleen de Bruijne, 2017, MIUA.

Quantitative imaging biomarkers in neurologic disease: Population study perspective

Stefan Klein, Marleen de Bruijne, Wiro J. Niessen, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Fully Automated Lung Volume Assessment from MRI in a Population-based Child Cohort Study

Florentin Wörgötter, Marleen de Bruijne, Adria Perez-Rovira, 2017, VISIGRAPP.

Special Issue on Tribute Workshop for Peter Johansen

Marleen de Bruijne, Jon Sporring, Mads Nielsen, 2008, Journal of Mathematical Imaging and Vision.

Model-based segmentation of abdominal aortic aneurysms in CTA images

Max A. Viergever, Marleen de Bruijne, Wiro J. Niessen, 2003, SPIE Medical Imaging.

Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation pdf

Shuai Chen, Marleen de Bruijne, Gijs van Tulder, 2019, MICCAI.

A Family of Principal Component Analyses for Dealing with Outliers

Marleen de Bruijne, Mads Nielsen, François Lauze, 2007, MICCAI.

Image segmentation by shape particle filtering

Marleen de Bruijne, Mads Nielsen, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Region-of-interest guided Supervoxel Inpainting for Self-supervision pdf

Shuai Chen, Marleen de Bruijne, Subhradeep Kayal, 2020, MICCAI.

MACD: an imaging marker for cardiovascular disease

Marleen de Bruijne, Mads Nielsen, Melanie Ganz, 2010, Medical Imaging.

Texture-Based Analysis of COPD: A Data-Driven Approach

Lauge Sørensen, Marleen de Bruijne, Mads Nielsen, 2012, IEEE Transactions on Medical Imaging.

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

Brian B. Avants, D. Louis Collins, Nikos Paragios, 2011, IEEE Transactions on Medical Imaging.

Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection

He Cui, Arna van Engelen, Marleen de Bruijne, 2019, Comput. Methods Programs Biomed..

APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network

Stefan Klein, Marleen de Bruijne, Chaoping Zhang, 2019, MLMIR@MICCAI.

Prior knowledge regularization in statistical medical image tasks

Marleen de Bruijne, Jon Sporring, Mads Nielsen, 2009 .

Multiscale Vessel-guided Airway Tree Segmentation

Marleen de Bruijne, Jon Sporring, Pechin Lo, 2009 .

Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation

Marleen de Bruijne, Mads Nielsen, Jens Petersen, 2011, IPMI.

A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images

Mads Nielsen, Marleen de Bruijne, François Lauze, 2006, SPIE Medical Imaging.

Automated measurement of diagnostic angles for hip dysplasia

Marleen de Bruijne, Maiken Stilling, Kjeld Søballe, 2013, Medical Imaging.

Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease

Marleen de Bruijne, Mads Nielsen, Jens Petersen, 2014, Medical Image Anal..

Robust Shape Regression for Supervised Vessel Segmentation and its Application to Coronary Segmentation in CTA

Marleen de Bruijne, Theo van Walsum, Michiel Schaap, 2011, IEEE Transactions on Medical Imaging.

Quantitative Vertebral Morphometry Using Neighbor-Conditional Shape Models

Marleen de Bruijne, Mads Nielsen, Paola Pettersen, 2006, MICCAI.

Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines

Marleen de Bruijne, Gijs van Tulder, Gijs van Tulder, 2016, IEEE Transactions on Medical Imaging.

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

Nassir Navab, Marleen de Bruijne, Aad van der Lugt, 2017, MICCAI.

Supervised shape analysis for risk assessment in osteoporosis

Marleen de Bruijne, Paola Pettersen, Marleen de Bruijne, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A cross-center smoothness prior for variational Bayesian brain tissue segmentation pdf

Marleen de Bruijne, Kim Steenstrup Pedersen, Jens Petersen, 2019, IPMI.

Shape Particle Guided Tissue Classification

Marleen de Bruijne, Marleen de Bruijne, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data pdf

Marleen de Bruijne, Marius de Groot, Adrian V. Dalca, 2019, ArXiv.

Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung

Lauge Sørensen, Mohamed S. Kamel, Mehrdad J. Gangeh, 2010, MCV.

Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry

Marleen de Bruijne, Karsten M. Borgwardt, Aasa Feragen, 2013, IPMI.

Deep Learning from Label Proportions for Emphysema Quantification

Marleen de Bruijne, Laurens Hogeweg, Ioannis Katramados, 2018, MICCAI.

Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations

Marleen de Bruijne, Laurens Hogeweg, Ioannis Katramados, 2019, MICCAI.

Mean Field Network based Graph Refinement with application to Airway Tree Extraction

Max Welling, Marleen de Bruijne, Jens Petersen, 2018, MICCAI.

Quantitative analysis of airway abnormalities in CT

Marleen de Bruijne, Mads Nielsen, Jens Petersen, 2010, Medical Imaging.

Regression-Based Cardiac Motion Prediction From Single-Phase CTA

Stefan Klein, Marleen de Bruijne, Theo van Walsum, 2012, IEEE Transactions on Medical Imaging.

Voxel classification based airway tree segmentation

Marleen de Bruijne, Pechin Lo, Marleen de Bruijne, 2008, SPIE Medical Imaging.

Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images

Mads Nielsen, Marleen de Bruijne, François Lauze, 2005, CVBIA.

Quantification and visualization of variation in anatomical trees

Marleen de Bruijne, Nina Amenta, Jie Shi, 2014, 1410.2466.

Efficient nonrigid registration using ranked order statistics

Marleen de Bruijne, Zhenwei Cao, Alireza Bab-Hadiashar, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Semiautomatic aortic endograft localization for postoperative evaluation of endovascular aneurysm treatment

Max A. Viergever, Marleen de Bruijne, Wiro J. Niessen, 2001, SPIE Medical Imaging.

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs pdf

Marleen de Bruijne, Raghavendra Selvan, Zaigham Saghir, 2019, MLMI@MICCAI.

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

Maria Petrou, Marleen de Bruijne, Mads Nielsen, 2007, SPIE Medical Imaging.

Airway Tree Extraction with Locally Optimal Paths

Marleen de Bruijne, Jon Sporring, Pechin Lo, 2009, MICCAI.

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

Marleen de Bruijne, Marleen de Bruijne, 2016, Medical Image Anal..

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

Marleen de Bruijne, Wiro Niessen, M. Arfan Ikram, 2019, NeuroImage.

Lung CT registration combining intensity, curves and surfaces

Marleen de Bruijne, Stanley Durrleman, Xavier Pennec, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Weighting training images by maximizing distribution similarity for supervised segmentation across scanners

Marleen de Bruijne, M. Arfan Ikram, Meike W. Vernooij, 2015, Medical Image Anal..

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

Marleen de Bruijne, Shuai Chen, Marleen de Bruijne, 2018, ArXiv.

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans

Amir Alansary, Aaron Carass, Marcel Breeuwer, 2015, Comput. Intell. Neurosci..

Vertebral fracture classification

Marleen de Bruijne, Mads Nielsen, László B. Tankó, 2007, SPIE Medical Imaging.

Vessel-guided airway tree segmentation: A voxel classification approach

Marleen de Bruijne, Jon Sporring, Pechin Lo, 2010, Medical Image Anal..

Weight Preserving Image Registration for Monitoring Disease Progression in Lung CT

Marleen de Bruijne, Mads Nielsen, Pechin Lo, 2008, MICCAI.

Reliability of computer-assisted periacetabular osteotomy using a minimally invasive approach

Marleen de Bruijne, Ryan J. Murphy, Mehran Armand, 2018, International Journal of Computer Assisted Radiology and Surgery.

Learning Cross-Modality Representations From Multi-Modal Images

Marleen de Bruijne, Gijs van Tulder, 2019, IEEE Trans. Medical Imaging.

Crowdsourced Emphysema Assessment

Marleen de Bruijne, Jens Petersen, Veronika Cheplygina, 2017, CVII-STENT/LABELS@MICCAI.

Automated Brain Structure Segmentation Based on Atlas Registration and Appearance Models

Stefan Klein, Marleen de Bruijne, Wiro J. Niessen, 2012, IEEE Transactions on Medical Imaging.

Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks

Max Welling, Marleen de Bruijne, Jens Petersen, 2020, Medical Image Anal..

Automated measurement of local white matter lesion volume

Daniel Rueckert, Stefan Klein, Marleen de Bruijne, 2012, NeuroImage.

Toward a Theory of Statistical Tree-Shape Analysis

Marleen de Bruijne, Mads Nielsen, François Lauze, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns

Lauge Sørensen, Marleen de Bruijne, Saher B. Shaker, 2010, IEEE Transactions on Medical Imaging.

Lauge Sørensen, Marleen de Bruijne, Pechin Lo, 2011, IPMI.

Quantitative vertebral morphometry using neighbor-conditional shape models

Marleen de Bruijne, Mads Nielsen, Paola Pettersen, 2007, Medical Image Anal..

Distribution, Size, and Shape of Abdominal Aortic Calcified Deposits and Their Relationship to Mortality in Postmenopausal Women

Marleen de Bruijne, Mads Nielsen, Erik Dam, 2012, Int. J. Biomed. Imaging.

Supervised in-vivo plaque characterization incorporating class label uncertainty

Stefan Klein, Arna van Engelen, Marleen de Bruijne, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Statistical coronary motion models for 2D + t/3D registration of X-ray coronary angiography and CTA

Marleen de Bruijne, Theo van Walsum, Coert Metz, 2013, Medical Image Anal..

Carotid Artery Lumen Segmentation in 3D Free-Hand Ultrasound Images Using Surface Graph Cuts

Marleen de Bruijne, Wiro J. Niessen, Andrés M. Arias Lorza, 2013, MICCAI.

Texture Classification in Lung CT Using Local Binary Patterns

Lauge Sørensen, Marleen de Bruijne, Saher B. Shaker, 2008, MICCAI.

Integrating local voxel classification and global shape models for medical image segmentation

Marleen de Bruijne, Bram van Ginneken, Eva M. van Rikxoort, 2008, Medical Imaging: Image Processing.

Automatic Airway Segmentation in chest CT using Convolutional Neural Networks

Marleen de Bruijne, Harm A. W. M. Tiddens, A. Garcia-Uceda Juarez, 2018, RAMBO+BIA+TIA@MICCAI.

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

Marleen de Bruijne, Wiro J. Niessen, M. Arfan Ikram, 2017, MICCAI.

Not‐so‐supervised: A survey of semi‐supervised, multi‐instance, and transfer learning in medical image analysis

Josien P. W. Pluim, Marleen de Bruijne, Veronika Cheplygina, 2018, Medical Image Anal..

Why Does Synthesized Data Improve Multi-sequence Classification?

Marleen de Bruijne, Gijs van Tulder, 2015, MICCAI.

2D-3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models

Marleen de Bruijne, Theo van Walsum, Wiro J. Niessen, 2011, Medical Image Anal..

Multi-Center MRI Carotid Plaque Component Segmentation Using Feature Normalization and Transfer Learning

Arna van Engelen, Marleen de Bruijne, Wiro J. Niessen, 2015, IEEE Transactions on Medical Imaging.

Aorta and pulmonary artery segmentation using optimal surface graph cuts in non-contrast CT

Marleen de Bruijne, Andrés M. Arias Lorza, Jesper Holst Pedersen, 2018, Medical Imaging.

A Transfer-Learning Approach to Image Segmentation Across Scanners by Maximizing Distribution Similarity

Marleen de Bruijne, M. Arfan Ikram, Meike W. Vernooij, 2013, MLMI.

Feature-Space Transformation Improves Supervised Segmentation Across Scanners

Marleen de Bruijne, Hakim C. Achterberg, Annegreet van Opbroek, 2015, MLMMI@ICML.

Improved Tissue Segmentation by Including an MR Acquisition Model

Marleen de Bruijne, Wiro J. Niessen, M. Arfan Ikram, 2011, MBIA.

Interactive segmentation of abdominal aortic aneurysms in CTA images

Max A. Viergever, Marleen de Bruijne, Wiro J. Niessen, 2004, Medical Image Anal..

Learning COPD Sensitive Filters in Pulmonary CT

Mads Nielsen, Lauge Sørensen, Marleen de Bruijne, 2009, MICCAI.

Mass preserving registration for lung CT

Marleen de Bruijne, Jon Sporring, Mads Nielsen, 2009, Medical Imaging.

Early Detection of Emphysema Progression

Mads Nielsen, Marleen de Bruijne, Alireza Bab-Hadiashar, 2010, MICCAI.

Quantification of Smoothing Requirement for 3D Optic Flow Calculation of Volumetric Images

Marleen de Bruijne, Alireza Bab-Hadiashar, Ruwan B. Tennakoon, 2013, IEEE Transactions on Image Processing.

Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network pdf

Marleen de Bruijne, Wiro J. Niessen, M. Arfan Ikram, 2019, MICCAI.

Localization and segmentation of aortic endografts using marker detection

Max A. Viergever, Marleen de Bruijne, Wiro J. Niessen, 2003, IEEE Transactions on Medical Imaging.

Towards exaggerated emphysema stereotypes

Lauge Sørensen, Marleen de Bruijne, Christian Igel, 2012, Medical Imaging.

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

Marleen de Bruijne, Paul H. J. Nederkoorn, Aad van der Lugt, 2020, UNSURE/GRAIL@MICCAI.

Crowdsourcing airway annotations in chest computed tomography images pdf

Marleen de Bruijne, Veronika Cheplygina, Wieying Kuo, 2020, PloS one.

Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track pdf

Marleen de Bruijne, Ismail Ben Ayed, Herve Lombaert, 2020, ArXiv.

Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling

Marleen de Bruijne, Jon Sporring, Mads Nielsen, 2011, IEEE Transactions on Medical Imaging.

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

Marleen de Bruijne, Subhradeep Kayal, Florian Dubost, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Lauge Sørensen, Robert P. W. Duin, Marleen de Bruijne, 2010, MICCAI.

Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners pdf

Marleen de Bruijne, Veronika Cheplygina, Meike W. Vernooij, 2017, ArXiv.

A Hierarchical Scheme for Geodesic Anatomical Labeling of Airway Trees

Marleen de Bruijne, Pechin Lo, Aasa Feragen, 2012, MICCAI.

Discriminative Shape Alignment

Marleen de Bruijne, Marco Loog, Marleen de Bruijne, 2009, IPMI.

Confidence of model based shape reconstruction from sparse data

Marleen de Bruijne, Wiro J. Niessen, Boudewijn P. F. Lelieveldt, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Scalable kernels for graphs with continuous attributes

Marleen de Bruijne, Jens Petersen, Karsten M. Borgwardt, 2013, NIPS.

Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach

Marleen de Bruijne, M. Arfan Ikram, Meike W. Vernooij, 2012, MLMI.

Extraction of Airways From CT (EXACT'09)

Eric A. Hoffman, Marleen de Bruijne, Rafael Wiemker, 2012, IEEE Transactions on Medical Imaging.

Quantifying Calcification in the Lumbar Aorta on X-Ray Images

Mads Nielsen, Marleen de Bruijne, François Lauze, 2007, MICCAI.

Geodesic Atlas-Based Labeling of Anatomical Trees: Application and Evaluation on Airways Extracted From CT

Marleen de Bruijne, Jens Petersen, Pechin Lo, 2015, IEEE Transactions on Medical Imaging.

Bicycle chain shape models

Marleen de Bruijne, Chen Chen, Stefan Sommer, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.