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Marleen de Bruijne

Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands, Department of Computer Science, University of Copenhagen, Denmark

A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation


Sep 22, 2021
Robin Camarasa, Daniel Bos, Jeroen Hendrikse, Paul Nederkoorn, M. Eline Kooi, Aad van der Lugt, Marleen de Bruijne

* 39 pages, 22 figures, to be published in Journal of Machine Learning for Biomedical Imaging for the Special Issue: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE) 2020 

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


Aug 10, 2021
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 B. Girum, Anja Hennemuth, Markus Huellebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphael Couturier, Fabrice Meriaudeau

* Submitted to Medical Image Analysis 

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Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT


Jul 20, 2021
Gerda Bortsova, Daniel Bos, Florian Dubost, Meike W. Vernooij, M. Kamran Ikram, Gijs van Tulder, Marleen de Bruijne

* Accepted for publication in Radiology: Artificial Intelligence (https://pubs.rsna.org/journal/ai), which is published by the Radiological Society of North America (RSNA) 

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Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images


Apr 07, 2021
Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne


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State-of-the-art segmentation network fooled to segment a heart symbol in chest X-Ray images


Mar 31, 2021
Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne


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Crowdsourcing Airway Annotations in Chest Computed Tomography Images


Nov 20, 2020
Veronika Cheplygina, Adria Perez-Rovira, Wieying Kuo, Harm A. W. M. Tiddens, Marleen de Bruijne


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


Jun 29, 2020
Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Chris Pal

* Accepted extended abstracts can also be found at https://openreview.net/group?id=MIDL.io/2020/Conference#abstract-accept-papers 

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


Jun 26, 2020
Subhradeep Kayal, Shuai Chen, Marleen de Bruijne

* Accepted at MICCAI 2020 

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


Jun 18, 2020
Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas N├╝rnberger


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Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors


Jun 12, 2020
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

* First three authors contributed equally 

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Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images


Apr 24, 2020
Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne

* 5 pages including references, accepted as Oral presentation at IEEE ISBI 2020 

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


Apr 12, 2020
Oliver Werner, Kimberlin M. H. van Wijnen, Wiro J. Niessen, Marius de Groot, Meike W. Vernooij, Florian Dubost, Marleen de Bruijne

* 11 pages, 3 figures 

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Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks


Dec 11, 2019
Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc, Nicolas Posocco, Gerda Bortsova, Wiro Niessen, Marleen de Bruijne


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Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations


Nov 04, 2019
Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne

* In proceedings of Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 

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


Sep 19, 2019
Chaoping Zhang, Florian Dubost, Marleen de Bruijne, Stefan Klein, Dirk H. J. Poot

* To appear in the proceedings of MICCAI 2019 Workshop Machine Learning for Medical Image Reconstruction 

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


Aug 22, 2019
Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Marleen de Bruijne


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


Jul 29, 2019
Kimberlin M. H. van Wijnen, Florian Dubost, Pinar Yilmaz, M. Arfan Ikram, Wiro J. Niessen, Hieab Adams, Meike W. Vernooij, Marleen de Bruijne

* MICCAI 2019 

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


Jul 29, 2019
Shuai Chen, Gerda Bortsova, Antonio Garcia-Uceda Juarez, Gijs van Tulder, Marleen de Bruijne

* Accepted at MICCAI 2019 

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


Jul 01, 2019
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 Niessen, Meike Vernooij, Natalia S. Rost, Markus D. Schirmer


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


Jun 14, 2019
Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, M. Arfan Ikram, Wiro Niessen, Meike Vernooij, Marleen de Bruijne

* New version. Correction of Figure 9. Wrong order and name of methods 

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


Mar 11, 2019
Wouter M. Kouw, Silas N. ├śrting, Jens Petersen, Kim S. Pedersen, Marleen de Bruijne

* 12 pages, 2 figures, 1 table. Accepted to the International Conference on Information Processing in Medical Imaging (2019) 

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


Mar 08, 2019
Vikram Venkatraghavan, Florian Dubost, Esther E. Bron, Wiro J. Niessen, Marleen de Bruijne, Stefan Klein

* IPMI 2019 

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


Nov 21, 2018
Raghavendra Selvan, Thomas Kipf, Max Welling, Jesper H Pedersen, Jens Petersen, Marleen de Bruijne

* 10 pages. Journal preprint 

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


Nov 08, 2018
Shuai Chen, Marleen de Bruijne

* Accepted in Medical Imaging meets NIPS Workshop, NIPS 2018 

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3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI


Oct 28, 2018
Florian Dubost, Hieab Adams, Gerda Bortsova, M. Arfan Ikram, Wiro Niessen, Meike Vernooij, Marleen de Bruijne


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Learning to quantify emphysema extent: What labels do we need?


Oct 17, 2018
Silas Nyboe ├śrting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne


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