Marleen de Bruijne

232 papers A* 1B 16Journal 112Unranked 92

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Unified Framework for Joint Detection of Lacunes and Enlarged Perivascular Spaces. CoRR Lucas He, Krinos Li, Hanyuan Zhang, Runlong He, Silvia Ingala, Luigi Lorenzini, Marleen de Bruijne, Frederik Barkhof, Rhodri Davies, Carole H. Sudre
2025	J	`jnl`	Guest Editorial Special Issue on Advancements in Foundation Models for Medical Imaging. IEEE Trans. Medical Imaging Tianming Liu, Dinggang Shen, Jong Chul Ye, Marleen de Bruijne, Wei Liu
2025	J	`jnl`	Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans. CoRR Silas Nyboe Ørting, Kristina Miger, Anne Sophie Overgaard Olesen, Mikael Ploug Boesen, Michael Brun Andersen, Jens Petersen, Olav W. Nielsen, Marleen de Bruijne
2025	J	`jnl`	Label refinement network from synthetic error augmentation for medical image segmentation. Medical Image Anal. Shuai Chen, Antonio García-Uceda Juárez, Jiahang Su, Gijs van Tulder, Lennard Wolff, Theo van Walsum, Marleen de Bruijne
2025	J	`jnl`	rNCA: Self-Repairing Segmentation Masks. CoRR Malte Silbernagel, Albert Alonso, Jens Petersen, Bulat Ibragimov, Marleen de Bruijne, Madeleine K. Wyburd
2024	—	`conf`	Leveraging Point Annotations in Segmentation Learning with Boundary Loss. ICPR (13) Eva Breznik, Hoel Kervadec, Filip Malmberg, Joel Kullberg, Håkan Ahlström, Marleen de Bruijne, Robin Strand
2023	J	`jnl`	Editorial for the MEDIA MICCAI special issue 2021. Medical Image Anal. Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2023	—	`ed.`	Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023, Proceedings IPMI Alejandro F. Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab
2023	—	`conf`	Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation. MLMI@MICCAI (2) Mariam Zabihi, Chayanin Tangwiriyasakul, Silvia Ingala, Luigi Lorenzini, Robin Camarasa, Frederik Barkhof, Marleen de Bruijne, M. Jorge Cardoso, Carole H. Sudre
2023	J	`jnl`	Leveraging point annotations in segmentation learning with boundary loss. CoRR Eva Breznik, Hoel Kervadec, Filip Malmberg, Joel Kullberg, Håkan Ahlström, Marleen de Bruijne, Robin Strand
2023	J	`jnl`	Nested star-shaped objects segmentation using diameter annotations. Medical Image Anal. Robin Camarasa, Hoel Kervadec, M. Eline Kooi, Jeroen Hendrikse, Paul H. J. Nederkoorn, Daniel Bos, Marleen de Bruijne
2023	J	`jnl`	On the dice loss gradient and the ways to mimic it. CoRR Hoel Kervadec, Marleen de Bruijne
2023	J	`jnl`	Source Identification: A Self-Supervision Task for Dense Prediction. CoRR Shuai Chen, Subhradeep Kayal, Marleen de Bruijne
2023	J	`jnl`	Unpaired, unsupervised domain adaptation assumes your domains are already similar. Medical Image Anal. Gijs van Tulder, Marleen de Bruijne
2023	A*	`conf`	Why is the Winner the Best? CVPR 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, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
2023	J	`jnl`	Why is the winner the best? CoRR 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.
2022	J	`jnl`	An end-to-end approach to segmentation in medical images with CNN and posterior-CRF. Medical Image Anal. Shuai Chen, Zahra Sedghi Gamechi, Florian Dubost, Gijs van Tulder, Marleen de Bruijne
2022	J	`jnl`	DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data. J. Imaging Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Chompunuch Sarasaen, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger
2022	J	`jnl`	Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. Medical Image Anal. 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
2022	—	`conf`	Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation. MIDL Robin Camarasa, Hoel Kervadec, Daniel Bos, Marleen de Bruijne
2022	J	`jnl`	Label Refinement Network from Synthetic Error Augmentation for Medical Image Segmentation. CoRR Shuai Chen, Antonio Garcia-Uceda Juarez, Jiahang Su, Gijs van Tulder, Lennard Wolff, Theo van Walsum, Marleen de Bruijne
2022	J	`jnl`	Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. CoRR 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
2021	J	`jnl`	A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation. CoRR Robin Camarasa, Daniel Bos, Jeroen Hendrikse, Paul H. J. Nederkoorn, M. Eline Kooi, Aad van der Lugt, Marleen de Bruijne
2021	J	`jnl`	Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images. CoRR Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne
2021	J	`jnl`	Adversarial attack vulnerability of medical image analysis systems: Unexplored factors. Medical Image Anal. 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
2021	J	`jnl`	Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT. CoRR Gerda Bortsova, Daniel Bos, Florian Dubost, Meike W. Vernooij, M. Kamran Ikram, Gijs van Tulder, Marleen de Bruijne
2021	J	`jnl`	Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks. CoRR Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Harm A. W. M. Tiddens, Marleen de Bruijne
2021	J	`jnl`	Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. CoRR 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
2021	—	`conf`	Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging. Bildverarbeitung für die Medizin Marleen de Bruijne
2021	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part I MICCAI (1) Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2021	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part II MICCAI (2) Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2021	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part III MICCAI (3) Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2021	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part IV MICCAI (4) Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2021	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V MICCAI (5) Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2021	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VI MICCAI (6) Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2021	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII MICCAI (7) Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2021	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VIII MICCAI (8) Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2021	—	`ed.`	Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany. MIDL Mattias P. Heinrich, Qi Dou, Marleen de Bruijne, Jan Lellmann, Alexander Schlaefer, Floris Ernst
2020	J	`jnl`	Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors. CoRR 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
2020	J	`jnl`	Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem. IEEE Trans. Medical Imaging 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
2020	J	`jnl`	Crowdsourcing Airway Annotations in Chest Computed Tomography Images. CoRR Veronika Cheplygina, Adria Perez-Rovira, Wieying Kuo, Harm A. W. M. Tiddens, Marleen de Bruijne
2020	J	`jnl`	DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset. CoRR Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger
2020	J	`jnl`	Graph refinement based airway extraction using mean-field networks and graph neural networks. Medical Image Anal. Raghavendra Selvan, Thomas Kipf, Max Welling, Antonio Garcia-Uceda Juarez, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
2020	—	`ed.`	International Conference on Medical Imaging with Deep Learning, MIDL 2020, 6-8 July 2020, Montréal, QC, Canada. MIDL Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Hervé Lombaert, Christopher Pal
2020	J	`jnl`	Learning to Quantify Emphysema Extent: What Labels Do We Need? IEEE J. Biomed. Health Informatics Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
2020	J	`jnl`	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 Mingquan Lin, He Cui, Weifu Chen, Arna van Engelen, Marleen de Bruijne, M. Reza Azarpazhooh, Seyed Mojtaba Sohrevardi, John David Spence, Bernard Chiu
2020	J	`jnl`	Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track. CoRR Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Chris Pal
2020	J	`jnl`	Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation. Medical Image Anal. 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
2020	—	`conf`	Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation. UNSURE/GRAIL@MICCAI Robin Camarasa, Daniel Bos, Jeroen Hendrikse, Paul H. J. Nederkoorn, M. Eline Kooi, Aad van der Lugt, Marleen de Bruijne
2020	—	`conf`	Region-of-Interest Guided Supervoxel Inpainting for Self-supervision. MICCAI (1) Subhradeep Kayal, Shuai Chen, Marleen de Bruijne
2020	J	`jnl`	Region-of-interest guided Supervoxel Inpainting for Self-supervision. CoRR Subhradeep Kayal, Shuai Chen, Marleen de Bruijne
2020	J	`jnl`	Spatially Regularized Shape Analysis of the Hippocampus Using P-Spline Based Shape Regression. IEEE J. Biomed. Health Informatics Hakim C. Achterberg, Johan J. de Rooi, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen, Paul H. C. Eilers, Marleen de Bruijne
2020	—	`conf`	Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-Images. ISBI Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne
2020	J	`jnl`	Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images. CoRR Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne
2020	J	`jnl`	Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection. Comput. Methods Programs Biomed. 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
2020	—	`conf`	Uncertainty-Based Segmentation of Myocardial Infarction Areas on Cardiac MR Images. M&Ms and EMIDEC/STACOM@MICCAI Robin Camarasa, Alexis Faure, Thomas Crozier, Daniel Bos, Marleen de Bruijne
2020	J	`jnl`	Weakly supervised object detection with 2D and 3D regression neural networks. Medical Image Anal. Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2020	J	`jnl`	When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans. CoRR Oliver Werner, Kimberlin M. H. van Wijnen, Wiro J. Niessen, Marius de Groot, Meike W. Vernooij, Florian Dubost, Marleen de Bruijne
2019	J	`jnl`	3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI. Medical Image Anal. Florian Dubost, Hieab Adams, Gerda Bortsova, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2019	—	`conf`	A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation. IPMI Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne
2019	—	`conf`	A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs. MLMI@MICCAI Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Marleen de Bruijne
2019	J	`jnl`	A cross-center smoothness prior for variational Bayesian brain tissue segmentation. CoRR Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne
2019	J	`jnl`	A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs. CoRR Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Marleen de Bruijne
2019	—	`conf`	APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network. MLMIR@MICCAI Chaoping Zhang, Florian Dubost, Marleen de Bruijne, Stefan Klein, Dirk H. J. Poot
2019	J	`jnl`	APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network. CoRR Chaoping Zhang, Florian Dubost, Marleen de Bruijne, Stefan Klein, Dirk H. J. Poot
2019	—	`conf`	Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks. CSI@MICCAI Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc, Nicolas Posocco, Wiro J. Niessen, Marleen de Bruijne
2019	J	`jnl`	Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks. CoRR Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc, Nicolas Posocco, Gerda Bortsova, Wiro J. Niessen, Marleen de Bruijne
2019	J	`jnl`	Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data. CoRR 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
2019	—	`conf`	Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network. MICCAI (4) Kimberlin M. H. van Wijnen, Florian Dubost, Pinar Yilmaz, Mohammad Arfan Ikram, Wiro J. Niessen, Hieab Adams, Meike W. Vernooij, Marleen de Bruijne
2019	J	`jnl`	Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network. CoRR Kimberlin M. H. van Wijnen, Florian Dubost, Pinar Yilmaz, Mohammad Arfan Ikram, Wiro J. Niessen, Hieab Adams, Meike W. Vernooij, Marleen de Bruijne
2019	—	`conf`	Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites. OR/MLCN@MICCAI 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
2019	J	`jnl`	Enlarged perivascular spaces in brain MRI: Automated quantification in four regions. NeuroImage Florian Dubost, Pinar Yilmaz, Hieab Adams, Gerda Bortsova, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2019	—	`conf`	Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia. IPMI Vikram Venkatraghavan, Florian Dubost, Esther E. Bron, Wiro J. Niessen, Marleen de Bruijne, Stefan Klein
2019	J	`jnl`	Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia. CoRR Vikram Venkatraghavan, Florian Dubost, Esther E. Bron, Wiro J. Niessen, Marleen de Bruijne, Stefan Klein
2019	—	`conf`	Hydranet: Data Augmentation for Regression Neural Networks. MICCAI (4) Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2019	J	`jnl`	Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies. IEEE Trans. Medical Imaging Jens Petersen, Andrés M. Arias Lorza, Raghavendra Selvan, Daniel Bos, Aad van der Lugt, Jesper Johannes Holst Pedersen, Mads Nielsen, Marleen de Bruijne
2019	J	`jnl`	Learning Cross-Modality Representations From Multi-Modal Images. IEEE Trans. Medical Imaging Gijs van Tulder, Marleen de Bruijne
2019	J	`jnl`	Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation. CoRR Shuai Chen, Gerda Bortsova, Antonio Garcia-Uceda Juarez, Gijs van Tulder, Marleen de Bruijne
2019	—	`conf`	Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation. MICCAI (3) Shuai Chen, Gerda Bortsova, Antonio García-Uceda Juárez, Gijs van Tulder, Marleen de Bruijne
2019	J	`jnl`	Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis. Medical Image Anal. Veronika Cheplygina, Marleen de Bruijne, Josien P. W. Pluim
2019	J	`jnl`	Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations. CoRR Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne
2019	—	`conf`	Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations. MICCAI (6) Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne
2019	J	`jnl`	Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning. IEEE Trans. Medical Imaging Annegreet van Opbroek, Hakim C. Achterberg, Meike W. Vernooij, Marleen de Bruijne
2019	J	`jnl`	Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks. CoRR Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2018	J	`jnl`	3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI. CoRR Florian Dubost, Hieab Adams, Gerda Bortsova, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2018	J	`jnl`	An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images. CoRR Shuai Chen, Marleen de Bruijne
2018	B	`conf`	Aorta and pulmonary artery segmentation using optimal surface graph cuts in non-contrast CT. Image Processing Zahra Sedghi Gamechi, Andrés M. Arias Lorza, Jesper Holst Pedersen, Marleen de Bruijne
2018	—	`conf`	Automatic Airway Segmentation in Chest CT Using Convolutional Neural Networks. RAMBO+BIA+TIA@MICCAI A. Garcia-Uceda Juarez, Harm A. W. M. Tiddens, Marleen de Bruijne
2018	J	`jnl`	Automatic Airway Segmentation in chest CT using Convolutional Neural Networks. CoRR A. Garcia-Uceda Juarez, Harm A. W. M. Tiddens, Marleen de Bruijne
2018	—	`conf`	Deep Learning from Label Proportions for Emphysema Quantification. MICCAI (2) Gerda Bortsova, Florian Dubost, Silas N. Ørting, Ioannis Katramados, Laurens Hogeweg, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
2018	J	`jnl`	Deep Learning from Label Proportions for Emphysema Quantification. CoRR Gerda Bortsova, Florian Dubost, Silas N. Ørting, Ioannis Katramados, Laurens Hogeweg, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
2018	—	`conf`	Deep Multi-instance Volumetric Image Classification with Extreme Value Distributions. ACCV (3) Ruwan B. Tennakoon, Amirali K. Gostar, Reza Hoseinnezhad, Marleen de Bruijne, Alireza Bab-Hadiashar
2018	—	`conf`	Detecting emphysema with multiple instance learning. ISBI Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
2018	J	`jnl`	Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses. CoRR Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne
2018	J	`jnl`	Extraction of Airways using Graph Neural Networks. CoRR Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
2018	—	`conf`	Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans. CVII-STENT/LABELS@MICCAI Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
2018	J	`jnl`	Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans. CoRR Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
2018	J	`jnl`	Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks. CoRR Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
2018	J	`jnl`	Hydranet: Data Augmentation for Regression Neural Networks. CoRR Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2018	J	`jnl`	Learning to quantify emphysema extent: What labels do we need? CoRR Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
2018	—	`conf`	Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction. MICCAI (2) Raghavendra Selvan, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
2018	J	`jnl`	Mean Field Network based Graph Refinement with application to Airway Tree Extraction. CoRR Raghavendra Selvan, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
2018	J	`jnl`	Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis. CoRR Veronika Cheplygina, Marleen de Bruijne, Josien P. W. Pluim
2018	J	`jnl`	Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks. CoRR Filipe Marques, Florian Dubost, Mariette Kemner-van de Corput, Harm A. W. M. Tiddens, Marleen de Bruijne
2018	B	`conf`	Quantification of lung abnormalities in cystic fibrosis using deep networks. Image Processing Filipe Marques, Florian Dubost, Mariette Kemner-van de Corput, Harm A. W. M. Tiddens, Marleen de Bruijne
2018	J	`jnl`	Reliability of computer-assisted periacetabular osteotomy using a minimally invasive approach. Int. J. Comput. Assist. Radiol. Surg. Sepp De Raedt, Inger Mechlenburg, Maiken Stilling, Lone Rømer, Ryan J. Murphy, Mehran Armand, Jyri Lepistö, Marleen de Bruijne, Kjeld Søballe
2018	J	`jnl`	Transfer Learning for Multicenter Classification of Chronic Obstructive Pulmonary Disease. IEEE J. Biomed. Health Informatics Veronika Cheplygina, Isabel Pino Peña, Jesper Holst Pedersen, David A. Lynch, Lauge Sørensen, Marleen de Bruijne
2017	J	`jnl`	Automatic Emphysema Detection using Weakly Labeled HRCT Lung Images. CoRR Isabel Pino Peña, Veronika Cheplygina, Sofia Paschaloudi, Morten Vuust, Jesper Carl, Ulla Møller Weinreich, Lasse Riis Østergaard, Marleen de Bruijne
2017	J	`jnl`	Classification of COPD with Multiple Instance Learning. CoRR Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Jesper Holst Pedersen, Marco Loog, Marleen de Bruijne
2017	—	`conf`	Crowdsourced Emphysema Assessment. CVII-STENT/LABELS@MICCAI Silas Nyboe Ørting, Veronika Cheplygina, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
2017	J	`jnl`	Early Experiences with Crowdsourcing Airway Annotations in Chest CT. CoRR Veronika Cheplygina, Adria Perez-Rovira, Wieying Kuo, Harm A. W. M. Tiddens, Marleen de Bruijne
2017	—	`conf`	Evaluating Classifiers for Atherosclerotic Plaque Component Segmentation in MRI. MIUA 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
2017	—	`conf`	Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing. GRAIL/MFCA/MICGen@MICCAI Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne
2017	J	`jnl`	Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing. CoRR Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne
2017	—	`conf`	Fully Automated Lung Volume Assessment from MRI in a Population-based Child Cohort Study. VISIGRAPP (6: VISAPP) Tatyana Ivanovska, Pierluigi Ciet, Adria Perez-Rovira, Anh Nguyen, Harm A. Tiddens, Liesbeth Duijts, Marleen de Bruijne, Florentin Wörgötter
2017	—	`conf`	GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network. MICCAI (3) Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2017	J	`jnl`	GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network. CoRR Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2017	J	`jnl`	Label Stability in Multiple Instance Learning. CoRR Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Marleen de Bruijne, Marco Loog
2017	—	`conf`	Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. MICCAI (3) Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne
2017	J	`jnl`	Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. CoRR Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne
2017	J	`jnl`	Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners. CoRR Veronika Cheplygina, Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne
2017	J	`jnl`	Transfer learning for multi-center classification of chronic obstructive pulmonary disease. CoRR Veronika Cheplygina, Isabel Pino Peña, Jesper Johannes Holst Pedersen, David A. Lynch, Lauge Sørensen, Marleen de Bruijne
2016	—	`conf`	Asymmetric similarity-weighted ensembles for image segmentation. ISBI Veronika Cheplygina, Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne
2016	J	`jnl`	Carotid Artery Wall Segmentation in Multispectral MRI by Coupled Optimal Surface Graph Cuts. IEEE Trans. Medical Imaging Andrés M. Arias Lorza, Jens Petersen, Arna van Engelen, Mariana Selwaness, Aad van der Lugt, Wiro J. Niessen, Marleen de Bruijne
2016	J	`jnl`	Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines. IEEE Trans. Medical Imaging Gijs van Tulder, Marleen de Bruijne
2016	—	`conf`	Early Experiences with Crowdsourcing Airway Annotations in Chest CT. LABELS/DLMIA@MICCAI Veronika Cheplygina, Adria Perez-Rovira, Wieying Kuo, Harm A. W. M. Tiddens, Marleen de Bruijne
2016	J	`jnl`	Extraction of airway trees using multiple hypothesis tracking and template matching. CoRR Raghavendra Selvan, Jens Petersen, Jesper Johannes Holst Pedersen, Marleen de Bruijne
2016	J	`jnl`	Machine learning approaches in medical image analysis: From detection to diagnosis. Medical Image Anal. Marleen de Bruijne
2016	—	`conf`	Representation Learning for Cross-Modality Classification. MCV/BAMBI@MICCAI Gijs van Tulder, Marleen de Bruijne
2015	—	`conf`	Feature-Space Transformation Improves Supervised Segmentation Across Scanners. MLMMI@ICML Annegreet van Opbroek, Hakim C. Achterberg, Marleen de Bruijne
2015	J	`jnl`	Geodesic Atlas-Based Labeling of Anatomical Trees: Application and Evaluation on Airways Extracted From CT. IEEE Trans. Medical Imaging Aasa Feragen, Jens Petersen, Megan Owen, Pechin Lo, Laura Hohwu Thomsen, Mathilde Marie Winkler Wille, Asger Dirksen, Marleen de Bruijne
2015	—	`conf`	Label Stability in Multiple Instance Learning. MICCAI (1) Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Marleen de Bruijne, Marco Loog
2015	J	`jnl`	MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. Comput. Intell. Neurosci. 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
2015	J	`jnl`	Multi-Center MRI Carotid Plaque Component Segmentation Using Feature Normalization and Transfer Learning. IEEE Trans. Medical Imaging 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
2015	J	`jnl`	Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols. IEEE Trans. Medical Imaging Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne
2015	J	`jnl`	Weighting training images by maximizing distribution similarity for supervised segmentation across scanners. Medical Image Anal. Annegreet van Opbroek, Meike W. Vernooij, Mohammad Arfan Ikram, Marleen de Bruijne
2015	—	`conf`	Why Does Synthesized Data Improve Multi-sequence Classification? MICCAI (1) Gijs van Tulder, Marleen de Bruijne
2014	B	`conf`	Classification of COPD with Multiple Instance Learning. ICPR Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Jesper Johannes Holst Pedersen, Marco Loog, Marleen de Bruijne
2014	—	`conf`	Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine. MCV Gijs van Tulder, Marleen de Bruijne
2014	J	`jnl`	Nonrigid Registration of Volumetric Images Using Ranked Order Statistics. IEEE Trans. Medical Imaging Ruwan B. Tennakoon, Alireza Bab-Hadiashar, Zhenwei Cao, Marleen de Bruijne
2014	J	`jnl`	Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease. Medical Image Anal. Jens Petersen, Mads Nielsen, Pechin Lo, Lars Haug Nordenmark, Jesper Johannes Holst Pedersen, Mathilde Marie Winkler Wille, Asger Dirksen, Marleen de Bruijne
2013	—	`conf`	A Transfer-Learning Approach to Image Segmentation Across Scanners by Maximizing Distribution Similarity. MLMI Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne
2013	—	`conf`	Automated measurement of diagnostic angles for hip dysplasia. Computer-Aided Diagnosis Sepp De Raedt, Inger Mechlenburg, Maiken Stilling, Lone Rømer, Kjeld Søballe, Marleen de Bruijne
2013	—	`conf`	Carotid Artery Lumen Segmentation in 3D Free-Hand Ultrasound Images Using Surface Graph Cuts. MICCAI (2) 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
2013	—	`conf`	Efficient nonrigid registration using ranked order statistics. ISBI Ruwan Bandara Tennakoon, Alireza Bab-Hadiashar, Marleen de Bruijne, Zhenwei Cao
2013	—	`conf`	Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry. IPMI Aasa Feragen, Jens Petersen, Dominik G. Grimm, Asger Dirksen, Jesper Johannes Holst Pedersen, Karsten M. Borgwardt, Marleen de Bruijne
2013	J	`jnl`	Geometric tree kernels: Classification of COPD from airway tree geometry CoRR Aasa Feragen, Jens Petersen, Dominik G. Grimm, Asger Dirksen, Jesper Johannes Holst Pedersen, Karsten M. Borgwardt, Marleen de Bruijne
2013	B	`conf`	Local appearance features for robust MRI brain structure segmentation across scanning protocols. Image Processing Hakim C. Achterberg, Dirk H. J. Poot, Fedde van der Lijn, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen, Marleen de Bruijne
2013	J	`jnl`	Quantification of Smoothing Requirement for 3D Optic Flow Calculation of Volumetric Images. IEEE Trans. Image Process. Alireza Bab-Hadiashar, Ruwan B. Tennakoon, Marleen de Bruijne
2013	—	`conf`	Quantitative Airway Analysis in Longitudinal Studies Using Groupwise Registration and 4D Optimal Surfaces. MICCAI (2) Jens Petersen, Marc Modat, Manuel Jorge Cardoso, Asger Dirksen, Sébastien Ourselin, Marleen de Bruijne
2013	—	`conf`	Scalable kernels for graphs with continuous attributes. NIPS Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen de Bruijne, Karsten M. Borgwardt
2013	J	`jnl`	Statistical coronary motion models for 2D + t/3D registration of X-ray coronary angiography and CTA. Medical Image Anal. 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
2013	J	`jnl`	Toward a Theory of Statistical Tree-Shape Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze
2013	—	`conf`	Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees. IPMI Aasa Feragen, Megan Owen, Jens Petersen, Mathilde M. W. Wille, Laura H. Thomsen, Asger Dirksen, Marleen de Bruijne
2012	—	`conf`	A Hierarchical Scheme for Geodesic Anatomical Labeling of Airway Trees. MICCAI (3) Aasa Feragen, Jens Petersen, Megan Owen, Pechin Lo, Laura H. Thomsen, Mathilde M. W. Wille, Asger Dirksen, Marleen de Bruijne
2012	—	`conf`	A computer aided detection system for cerebral microbleeds in brain MRI. ISBI 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
2012	J	`jnl`	Automated Brain Structure Segmentation Based on Atlas Registration and Appearance Models. IEEE Trans. Medical Imaging 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
2012	J	`jnl`	Automated measurement of local white matter lesion volume. NeuroImage 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
2012	—	`conf`	Carotid Artery Wall Segmentation by Coupled Surface Graph Cuts. MCV 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
2012	J	`jnl`	Distribution, Size, and Shape of Abdominal Aortic Calcified Deposits and Their Relationship to Mortality in Postmenopausal Women. Int. J. Biomed. Imaging Melanie Ganz, Marleen de Bruijne, Erik B. Dam, Paola Pettersen, Morten Asser Karsdal, Claus Christiansen, Mads Nielsen
2012	J	`jnl`	Extraction of Airways From CT (EXACT'09). IEEE Trans. Medical Imaging 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
2012	J	`jnl`	Mass preserving image registration for lung CT. Medical Image Anal. Vladlena Gorbunova, Jon Sporring, Pechin Lo, Martine Loeve, Harm A. Tiddens, Mads Nielsen, Asger Dirksen, Marleen de Bruijne
2012	—	`conf`	Quantitative imaging biomarkers in neurologic disease: Population study perspective. ISBI 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
2012	J	`jnl`	Regression-Based Cardiac Motion Prediction From Single-Phase CTA. IEEE Trans. Medical Imaging 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
2012	J	`jnl`	Statistical Shape Model-Based Femur Kinematics From Biplane Fluoroscopy. IEEE Trans. Medical Imaging Nora Baka, Marleen de Bruijne, Theo van Walsum, Bart L. Kaptein, J. E. Giphart, Michiel Schaap, Wiro J. Niessen, Boudewijn P. F. Lelieveldt
2012	—	`conf`	Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach. MLMI Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne
2012	—	`conf`	Supervised in-vivo plaque characterization incorporating class label uncertainty. ISBI Arna van Engelen, Wiro J. Niessen, Stefan Klein, Harald C. Groen, Hence J. M. Verhagen, Jolanda J. Wentzel, Aad van der Lugt, Marleen de Bruijne
2012	J	`jnl`	Texture-Based Analysis of COPD: A Data-Driven Approach. IEEE Trans. Medical Imaging Lauge Sørensen, Mads Nielsen, Pechin Lo, Haseem Ashraf, Jesper Johannes Holst Pedersen, Marleen de Bruijne
2012	J	`jnl`	Towards a theory of statistical tree-shape analysis CoRR Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze
2012	—	`conf`	Towards exaggerated emphysema stereotypes. Computer-Aided Diagnosis C. Chen, Lauge Sørensen, François Lauze, Christian Igel, Marco Loog, Aasa Feragen, Marleen de Bruijne, Mads Nielsen
2011	J	`jnl`	2D-3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models. Medical Image Anal. Nora Baka, Bart L. Kaptein, Marleen de Bruijne, Theo van Walsum, J. E. Giphart, Wiro J. Niessen, Boudewijn P. F. Lelieveldt
2011	—	`conf`	Comparison of Shape Regression Methods under Landmark Position Uncertainty. MICCAI (2) Nora Baka, Coert Metz, Michiel Schaap, Boudewijn P. F. Lelieveldt, Wiro J. Niessen, Marleen de Bruijne
2011	—	`conf`	Dissimilarity-Based Classification of Anatomical Tree Structures. IPMI Lauge Sørensen, Pechin Lo, Asger Dirksen, Jens Petersen, Marleen de Bruijne
2011	J	`jnl`	Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. IEEE Trans. Medical Imaging 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
2011	—	`conf`	Improved Tissue Segmentation by Including an MR Acquisition Model. MBIA Dirk H. J. Poot, Marleen de Bruijne, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen
2011	J	`jnl`	Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling. IEEE Trans. Medical Imaging Alessandro Crimi, Martin Lillholm, Mads Nielsen, Anarta Ghosh, Marleen de Bruijne, Erik B. Dam, Jon Sporring
2011	—	`conf`	Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation. IPMI Jens Petersen, Mads Nielsen, Pechin Lo, Zaigham Saghir, Asger Dirksen, Marleen de Bruijne
2011	—	`conf`	Plaque characterization in ex vivo MRI evaluated by dense 3D correspondence with histology. Computer-Aided Diagnosis Arna van Engelen, Marleen de Bruijne, Stefan Klein, Hence J. M. Verhagen, Harald C. Groen, Jolanda J. Wentzel, Aad van der Lugt, Wiro J. Niessen
2011	J	`jnl`	Robust Shape Regression for Supervised Vessel Segmentation and its Application to Coronary Segmentation in CTA. IEEE Trans. Medical Imaging Michiel Schaap, Theo van Walsum, Lisan Neefjes, Coert Metz, Ermanno Capuano, Marleen de Bruijne, Wiro J. Niessen
2010	—	`conf`	A Texton-Based Approach for the Classification of Lung Parenchyma in CT Images. MICCAI (3) Mehrdad J. Gangeh, Lauge Sørensen, Saher B. Shaker, Mohamed S. Kamel, Marleen de Bruijne, Marco Loog
2010	—	`conf`	Conditional Shape Models for Cardiac Motion Estimation. MICCAI (1) 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
2010	—	`conf`	Confidence of model based shape reconstruction from sparse data. ISBI Nora Baka, Marleen de Bruijne, Johan H. C. Reiber, Wiro J. Niessen, Boudewijn P. F. Lelieveldt
2010	—	`conf`	Dissimilarity-Based Multiple Instance Learning. SSPR/SPR Lauge Sørensen, Marco Loog, David M. J. Tax, Wan-Jui Lee, Marleen de Bruijne, Robert P. W. Duin
2010	—	`conf`	Early Detection of Emphysema Progression. MICCAI (2) Vladlena Gorbunova, Sander S. A. M. Jacobs, Pechin Lo, Asger Dirksen, Mads Nielsen, Alireza Bab-Hadiashar, Marleen de Bruijne
2010	—	`conf`	Early diagnosis of dementia based on intersubject whole-brain dissimilarities. ISBI 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
2010	—	`conf`	Geometries on Spaces of Treelike Shapes. ACCV (2) Aasa Feragen, François Lauze, Pechin Lo, Marleen de Bruijne, Mads Nielsen
2010	—	`conf`	Image Dissimilarity-Based Quantification of Lung Disease from CT. MICCAI (1) Lauge Sørensen, Marco Loog, Pechin Lo, Haseem Ashraf, Asger Dirksen, Robert P. W. Duin, Marleen de Bruijne
2010	—	`conf`	Lung CT registration combining intensity, curves and surfaces. ISBI Vladlena Gorbunova, Stanley Durrleman, Pechin Lo, Xavier Pennec, Marleen de Bruijne
2010	—	`conf`	MACD: an imaging marker for cardiovascular disease. Computer-Aided Diagnosis Melanie Ganz, Marleen de Bruijne, Mads Nielsen
2010	—	`conf`	Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung. MCV Mehrdad J. Gangeh, Lauge Sørensen, Saher B. Shaker, Mohamed S. Kamel, Marleen de Bruijne
2010	—	`conf`	Prediction of Dementia by Hippocampal Shape Analysis. MLMI Hakim C. Achterberg, Fedde van der Lijn, Tom den Heijer, Aad van der Lugt, Monique M. B. Breteler, Wiro J. Niessen, Marleen de Bruijne
2010	J	`jnl`	Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns. IEEE Trans. Medical Imaging Lauge Sørensen, Saher B. Shaker, Marleen de Bruijne
2010	—	`conf`	Quantitative analysis of airway abnormalities in CT. Computer-Aided Diagnosis Jens Petersen, Pechin Lo, Mads Nielsen, Goutham Edula, Haseem Ashraf, Asger Dirksen, Marleen de Bruijne
2010	—	`conf`	Vessel tree extraction using locally optimal paths. ISBI Pechin Lo, Bram van Ginneken, Marleen de Bruijne
2010	J	`jnl`	Vessel-guided airway tree segmentation: A voxel classification approach. Medical Image Anal. Pechin Lo, Jon Sporring, Haseem Ashraf, Jesper Johannes Holst Pedersen, Marleen de Bruijne
2009	—	`conf`	Airway Tree Extraction with Locally Optimal Paths. MICCAI (1) Pechin Lo, Jon Sporring, Jesper Johannes Holst Pedersen, Marleen de Bruijne
2009	—	`conf`	Bicycle chain shape models. CVPR Workshops Stefan Sommer, Aditya Tatu, Chen Chen, D. R. Jurgensen, Marleen de Bruijne, Marco Loog, Mads Nielsen, François Lauze
2009	—	`conf`	Cerebellum Segmentation in MRI Using Atlas Registration and Local Multi-Scale Image Descriptors. ISBI Fedde van der Lijn, Marleen de Bruijne, Yoo Young Hoogendam, Stefan Klein, Reinhard Hameeteman, Monique M. B. Breteler, Wiro J. Niessen
2009	—	`conf`	Discriminative Shape Alignment. IPMI Marco Loog, Marleen de Bruijne
2009	—	`conf`	Dissimilarity representations in lung parenchyma classification. Computer-Aided Diagnosis Lauge Sørensen, Marleen de Bruijne
2009	—	`conf`	Learning COPD Sensitive Filters in Pulmonary CT. MICCAI (1) Lauge Sørensen, Pechin Lo, Haseem Ashraf, Jon Sporring, Mads Nielsen, Marleen de Bruijne
2009	B	`conf`	Mass preserving registration for lung CT. Image Processing Vladlena Gorbunova, Pechin Lo, Martine Loeve, Harm A. Tiddens, Jon Sporring, Mads Nielsen, Marleen de Bruijne
2008	B	`conf`	Integrating local voxel classification and global shape models for medical image segmentation. Image Processing Eva M. van Rikxoort, Marleen de Bruijne, Bram van Ginneken
2008	B	`conf`	Multi-object tracking of human spermatozoa. Image Processing Lauge Sørensen, Jakob Østergaard, Peter Johansen, Marleen de Bruijne
2008	J	`jnl`	Special Issue on Tribute Workshop for Peter Johansen. J. Math. Imaging Vis. Mads Nielsen, Marleen de Bruijne, Camilla Jørgensen, Søren I. Olsen, Kim Steenstrup Pedersen, Jon Sporring
2008	—	`conf`	Supervised shape analysis for risk assessment in osteoporosis. ISBI Marleen de Bruijne, Paola Pettersen
2008	—	`conf`	Texture Classification in Lung CT Using Local Binary Patterns. MICCAI (1) Lauge Sørensen, Saher B. Shaker, Marleen de Bruijne
2008	B	`conf`	Voxel classification based airway tree segmentation. Image Processing Pechin Lo, Marleen de Bruijne
2008	—	`conf`	Weight Preserving Image Registration for Monitoring Disease Progression in Lung CT. MICCAI (2) Vladlena Gorbunova, Pechin Lo, Haseem Ashraf, Asger Dirksen, Mads Nielsen, Marleen de Bruijne
2007	—	`conf`	A Family of Principal Component Analyses for Dealing with Outliers. MICCAI (2) Juan Eugenio Iglesias, Marleen de Bruijne, Marco Loog, François Lauze, Mads Nielsen
2007	—	`conf`	Quantifying Calcification in the Lumbar Aorta on X-Ray Images. MICCAI (2) Lars A. Conrad-Hansen, Marleen de Bruijne, François Lauze, László B. Tankó, Paola Pettersen, Qing He, Jianghong Chen, Claus Christiansen, Mads Nielsen
2007	J	`jnl`	Quantitative vertebral morphometry using neighbor-conditional shape models. Medical Image Anal. Marleen de Bruijne, Michael T. Lund, László B. Tankó, Paola Pettersen, Mads Nielsen
2007	—	`conf`	Semi-automatic detection of calcifications using nonlinear stretching on x-ray images. Computer-Aided Diagnosis Lars A. Conrad-Hansen, Marleen de Bruijne, Mads Nielsen, Maria Petrou
2007	B	`conf`	Toward automated detection and segmentation of aortic calcifications from radiographs. Image Processing François Lauze, Marleen de Bruijne
2007	B	`conf`	Vertebral fracture classification. Image Processing Marleen de Bruijne, Paola C. Pettersen, László B. Tankó, Mads Nielsen
2006	B	`conf`	A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images. Image Processing Lars A. Conrad-Hansen, Marleen de Bruijne, François Lauze, László B. Tankó, Mads Nielsen
2006	—	`conf`	Quantitative Vertebral Morphometry Using Neighbor-Conditional Shape Models. MICCAI (1) Marleen de Bruijne, Michael T. Lund, László B. Tankó, Paola Pettersen, Mads Nielsen
2006	—	`conf`	Shape Particle Guided Tissue Classification. CVPR Workshops Marleen de Bruijne
2005	—	`conf`	A Pattern Classification Approach to Aorta Calcium Scoring in Radiographs. CVBIA Marleen de Bruijne
2005	—	`conf`	Multi-object Segmentation Using Shape Particles. IPMI Marleen de Bruijne, Mads Nielsen
2005	—	`conf`	Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images. CVBIA Lars A. Conrad-Hansen, Marleen de Bruijne, François Lauze, László B. Tankó, Mads Nielsen
2005	B	`conf`	Shape regression for vertebra fracture quantification. Image Processing Michael Tillge Lund, Marleen de Bruijne, László B. Tankó, Mads Nielsen
2004	—	`conf`	Image Segmentation by Shape Particle Filtering. ICPR (3) Marleen de Bruijne, Mads Nielsen
2004	J	`jnl`	Interactive segmentation of abdominal aortic aneurysms in CTA images. Medical Image Anal. Marleen de Bruijne, Bram van Ginneken, Max A. Viergever, Wiro J. Niessen
2004	—	`conf`	Shape Particle Filtering for Image Segmentation. MICCAI (1) Marleen de Bruijne, Mads Nielsen
2003	—	`conf`	Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images. IPMI Marleen de Bruijne, Bram van Ginneken, Max A. Viergever, Wiro J. Niessen
2003	—	`conf`	Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images. MICCAI (2) Marleen de Bruijne, Bram van Ginneken, Lambertus W. Bartels, Maarten J. van der Laan, Jan D. Blankensteijn, Wiro J. Niessen, Max A. Viergever
2003	B	`conf`	Interactive shape models. Image Processing Bram van Ginneken, Marleen de Bruijne, Marco Loog, Max A. Viergever
2003	J	`jnl`	Localization and Segmentation of Aortic Endografts using Marker Detection. IEEE Trans. Medical Imaging Marleen de Bruijne, Wiro J. Niessen, J. B. Antoine Maintz, Max A. Viergever
2003	B	`conf`	Model-based segmentation of abdominal aortic aneurysms in CTA images. Image Processing Marleen de Bruijne, Bram van Ginneken, Wiro J. Niessen, Marco Loog, Max A. Viergever
2002	B	`conf`	Active-shape-model-based segmentation of abdominal aortic aneurysms in CTA images. Image Processing Marleen de Bruijne, Bram van Ginneken, Wiro J. Niessen, J. B. Antoine Maintz, Max A. Viergever
2001	B	`conf`	Semiautomatic aortic endograft localization for postoperative evaluation of endovascular aneurysm treatment. Image Processing Marleen de Bruijne, Wiro J. Niessen, J. B. Antoine Maintz, Max A. Viergever