Marleen de Bruijne

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 121

Top Venues

CoRR

Medical Image Anal.

IEEE Trans. Medical Imaging

ISBI

Publications

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
VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. Medical Image Anal. 91 (2024)
Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
Editorial for the MEDIA MICCAI special issue 2021. Medical Image Anal. 83 (2023)
Hoel Kervadec, Marleen de Bruijne
On the dice loss gradient and the ways to mimic it. CoRR (2023)
Mariam Zabihi, Chayanin Tangwiriyasakul, Silvia Ingala, Luigi Lorenzini, Robin Camarasa, Frederik Barkhof, Marleen de Bruijne, M. Jorge Cardoso, Carole H. Sudre
Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation. MLMI@MICCAI (2) (2023)
Gijs van Tulder, Marleen de Bruijne
Unpaired, unsupervised domain adaptation assumes your domains are already similar. Medical Image Anal. 87 (2023)
Robin Camarasa, Hoel Kervadec, M. Eline Kooi, Jeroen Hendrikse, Paul H. J. Nederkoorn, Daniel Bos, Marleen de Bruijne
Nested star-shaped objects segmentation using diameter annotations. Medical Image Anal. 90 (2023)
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, M. Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, B. 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, P. Morais, M. A. Naser, B. Oliveira, D. Owen, S. Pang, J. Park, S. Park, S. Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, N. Saeed, Adam Shephard, P. 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
Why is the Winner the Best? CVPR (2023)
Eva Breznik, Hoel Kervadec, Filip Malmberg, Joel Kullberg, Håkan Ahlström, Marleen de Bruijne, Robin Strand
Leveraging point annotations in segmentation learning with boundary loss. CoRR (2023)
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 Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias 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, Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.
Why is the winner the best? CoRR (2023)
Shuai Chen, Subhradeep Kayal, Marleen de Bruijne
Source Identification: A Self-Supervision Task for Dense Prediction. CoRR (2023)
Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Chompunuch Sarasaen, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger
DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data. J. Imaging 8 (10) (2022)
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 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
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. Medical Image Anal. 79 (2022)
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
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. CoRR (2022)
Shuai Chen, Zahra Sedghi Gamechi, Florian Dubost, Gijs van Tulder, Marleen de Bruijne
An end-to-end approach to segmentation in medical images with CNN and posterior-CRF. Medical Image Anal. 76 (2022)
Robin Camarasa, Hoel Kervadec, Daniel Bos, Marleen de Bruijne
Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation. MIDL (2022)
Shuai Chen, Antonio Garcia-Uceda Juarez, Jiahang Su, Gijs van Tulder, Lennard Wolff, Theo van Walsum, Marleen de Bruijne
Label Refinement Network from Synthetic Error Augmentation for Medical Image Segmentation. CoRR (2022)
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 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
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. CoRR (2021)
Marleen de Bruijne
Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging. Bildverarbeitung für die Medizin (2021)
Gerda Bortsova, Daniel Bos, Florian Dubost, Meike W. Vernooij, M. Kamran Ikram, Gijs van Tulder, Marleen de Bruijne
Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT. CoRR (2021)
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
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors. Medical Image Anal. 73 (2021)
Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne
Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images. CoRR (2021)
Robin Camarasa, Daniel Bos, Jeroen Hendrikse, Paul H. J. Nederkoorn, M. Eline Kooi, Aad van der Lugt, Marleen de Bruijne
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation. CoRR (2021)
Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Harm A. W. M. Tiddens, Marleen de Bruijne
Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks. CoRR (2021)
Subhradeep Kayal, Shuai Chen, Marleen de Bruijne
Region-of-interest guided Supervoxel Inpainting for Self-supervision. CoRR (2020)
Raghavendra Selvan, Thomas Kipf, Max Welling, Antonio Garcia-Uceda Juarez, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
Graph refinement based airway extraction using mean-field networks and graph neural networks. Medical Image Anal. 64 (2020)
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) (2020)
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 (2020)
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)
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) (2020)
Robin Camarasa, Alexis Faure, Thomas Crozier, Daniel Bos, Marleen de Bruijne
Uncertainty-Based Segmentation of Myocardial Infarction Areas on Cardiac MR Images. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne
Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images. CoRR (2020)
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 (2020)
Veronika Cheplygina, Adria Perez-Rovira, Wieying Kuo, Harm A. W. M. Tiddens, Marleen de Bruijne
Crowdsourcing Airway Annotations in Chest Computed Tomography Images. CoRR (2020)
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)
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 (2020)
Subhradeep Kayal, Shuai Chen, Marleen de Bruijne
Region-of-Interest Guided Supervoxel Inpainting for Self-supervision. MICCAI (1) (2020)
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 (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
Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors. CoRR (2020)
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) (2020)
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 (2020)
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 (2020)
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 (2020)
Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations. CoRR (2019)
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)
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 (2019)
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 (2019)
Chaoping Zhang, Florian Dubost, Marleen de Bruijne, Stefan Klein, Dirk H. J. Poot
APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network. CoRR (2019)
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) (2019)
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) (2019)
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)
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)
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 (2019)
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 (2019)
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)
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)
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 (2019)
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 (2019)
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 (2019)
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)
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 (2019)
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)
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 (2019)
Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne
Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations. MICCAI (6) (2019)
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)
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 (2019)
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)
Gijs van Tulder, Marleen de Bruijne
Learning Cross-Modality Representations From Multi-Modal Images. IEEE Trans. Medical Imaging 38 (2) (2019)
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 (2019)
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 (2018)
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 (2018)
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 (2018)
Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
Detecting emphysema with multiple instance learning. ISBI (2018)
A. Garcia-Uceda Juarez, Harm A. W. M. Tiddens, Marleen de Bruijne
Automatic Airway Segmentation in chest CT using Convolutional Neural Networks. CoRR (2018)
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) (2018)
Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne
Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses. CoRR (2018)
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)
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 (2018)
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)
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 (2018)
Shuai Chen, Marleen de Bruijne
An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images. CoRR (2018)
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)
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)
Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
Extraction of Airways using Graph Neural Networks. CoRR (2018)
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) (2018)
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 (2018)
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)
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)
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 (2018)
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)
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 (2018)
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 (2018)
Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne
Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing. CoRR (2017)
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 (2017)
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)
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 (2017)
Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Marleen de Bruijne, Marco Loog
Label Stability in Multiple Instance Learning. CoRR (2017)
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)
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)
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 (2017)
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 (2017)

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