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ORCIDMarleen de Bruijne
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- affiliation: Erasmus MC, Rotterdam, The Netherlands
- affiliation: University of Copenhagen, Denmark
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2020 – today
- 2025
[j56]Shuai Chen
, Antonio García-Uceda Juárez, Jiahang Su, Gijs van Tulder, Lennard Wolff, Theo van Walsum, Marleen de Bruijne:
Label refinement network from synthetic error augmentation for medical image segmentation. Medical Image Anal. 99: 103355 (2025)- 2024
- [j55]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. Medical Image Anal. 91: 103029 (2024) - [c109]Eva Breznik, Hoel Kervadec, Filip Malmberg, Joel Kullberg, Håkan Ahlström, Marleen de Bruijne, Robin Strand:
Leveraging Point Annotations in Segmentation Learning with Boundary Loss. ICPR (13) 2024: 194-210 - 2023
- [j54]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: 102695 (2023) - [j53]Gijs van Tulder, Marleen de Bruijne:
Unpaired, unsupervised domain adaptation assumes your domains are already similar. Medical Image Anal. 87: 102825 (2023) - [j52]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: 102934 (2023) - [c108]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:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c107]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: 325-334 - [e11]Alejandro F. Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab:
Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023, Proceedings. Lecture Notes in Computer Science 13939, Springer 2023, ISBN 978-3-031-34047-5 [contents] - [i53]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.:
Why is the winner the best? CoRR abs/2303.17719 (2023) - [i52]Hoel Kervadec, Marleen de Bruijne:
On the dice loss gradient and the ways to mimic it. CoRR abs/2304.04319 (2023) - [i51]Shuai Chen, Subhradeep Kayal, Marleen de Bruijne:
Source Identification: A Self-Supervision Task for Dense Prediction. CoRR abs/2307.02238 (2023) - [i50]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 abs/2311.03537 (2023) - 2022
- [j51]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): 259 (2022) - [j50]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: 102311 (2022) - [j49]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:
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. Medical Image Anal. 79: 102428 (2022) - [c106]Robin Camarasa, Hoel Kervadec, Daniel Bos, Marleen de Bruijne:
Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation. MIDL 2022: 188-198 - [i49]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 abs/2208.07167 (2022) - [i48]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 abs/2209.06353 (2022) - 2021
- [j48]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: 102141 (2021) - [c105]Marleen de Bruijne:
Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging. Bildverarbeitung für die Medizin 2021: 1 - [e10]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12901, Springer 2021, ISBN 978-3-030-87192-5 [contents] - [e9]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12902, Springer 2021, ISBN 978-3-030-87195-6 [contents] - [e8]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12903, Springer 2021, ISBN 978-3-030-87198-7 [contents] - [e7]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 12904, Springer 2021, ISBN 978-3-030-87201-4 [contents] - [e6]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V. Lecture Notes in Computer Science 12905, Springer 2021, ISBN 978-3-030-87239-7 [contents] - [e5]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VI. Lecture Notes in Computer Science 12906, Springer 2021, ISBN 978-3-030-87230-4 [contents] - [e4]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII. Lecture Notes in Computer Science 12907, Springer 2021, ISBN 978-3-030-87233-5 [contents] - [e3]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VIII. Lecture Notes in Computer Science 12908, Springer 2021, ISBN 978-3-030-87236-6 [contents] - [e2]Mattias P. Heinrich, Qi Dou, Marleen de Bruijne, Jan Lellmann, Alexander Schlaefer, Floris Ernst:
Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany. Proceedings of Machine Learning Research 143, PMLR 2021 [contents] - [i47]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 abs/2103.16328 (2021) - [i46]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 abs/2104.00139 (2021) - [i45]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 abs/2107.09442 (2021) - [i44]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:
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. CoRR abs/2108.04016 (2021) - [i43]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 abs/2109.10702 (2021) - 2020
- [j47]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: 103586 (2020) - [j46]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: 105276 (2020) - [j45]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: 101698 (2020) - [j44]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: 101751 (2020) - [j43]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: 101767 (2020) - [j42]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): 825-834 (2020) - [j41]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): 1149-1159 (2020) - [j40]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): 854-865 (2020) - [c104]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: 586-590 - [c103]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: 32-41 - [c102]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: 385-391 - [c101]Subhradeep Kayal, Shuai Chen, Marleen de Bruijne:
Region-of-Interest Guided Supervoxel Inpainting for Self-supervision. MICCAI (1) 2020: 500-509 - [e1]Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Hervé Lombaert, Christopher Pal:
International Conference on Medical Imaging with Deep Learning, MIDL 2020, 6-8 July 2020, Montréal, QC, Canada. Proceedings of Machine Learning Research 121, PMLR 2020 [contents] - [i42]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 abs/2004.05578 (2020) - [i41]Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne:
Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images. CoRR abs/2004.11989 (2020) - [i40]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 abs/2006.06356 (2020) - [i39]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 abs/2006.10802 (2020) - [i38]Subhradeep Kayal, Shuai Chen, Marleen de Bruijne:
Region-of-interest guided Supervoxel Inpainting for Self-supervision. CoRR abs/2006.15186 (2020) - [i37]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 abs/2007.02319 (2020) - [i36]Veronika Cheplygina, Adria Perez-Rovira, Wieying Kuo, Harm A. W. M. Tiddens, Marleen de Bruijne:
Crowdsourcing Airway Annotations in Chest Computed Tomography Images. CoRR abs/2011.10433 (2020)
2010 – 2019
- 2019
- [j39]Florian Dubost, Hieab 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: 89-100 (2019) - [j38]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: 280-296 (2019) - [j37]Florian Dubost, Pinar Yilmaz, Hieab 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: 534-544 (2019) - [j36]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): 213-224 (2019) - [j35]Gijs van Tulder, Marleen de Bruijne:
Learning Cross-Modality Representations From Multi-Modal Images. IEEE Trans. Medical Imaging 38(2): 638-648 (2019) - [j34]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): 1559-1568 (2019) - [c100]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: 169-180 - [c99]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: 360-371 - [c98]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: 36-46 - [c97]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: 88-94 - [c96]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: 103-111 - [c95]Kimberlin M. H. van Wijnen, Florian Dubost, Pinar Yilmaz, Mohammad Arfan Ikram, Wiro J. Niessen, Hieab Adams, Meike W. Vernooij, Marleen de Bruijne:
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network. MICCAI (4) 2019: 234-242 - [c94]Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne:
Hydranet: Data Augmentation for Regression Neural Networks. MICCAI (4) 2019: 438-446 - [c93]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: 457-465 - [c92]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: 583-591 - [c91]Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne:
Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations. MICCAI (6) 2019: 810-818 - [i35]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 abs/1903.03386 (2019) - [i34]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 abs/1903.04191 (2019) - [i33]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. CoRR abs/1906.01891 (2019) - [i32]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 abs/1907.00695 (2019) - [i31]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 abs/1907.12303 (2019) - [i30]Kimberlin M. H. van Wijnen, Florian Dubost, Pinar Yilmaz, Mohammad Arfan Ikram, Wiro J. Niessen, Hieab Adams, Meike W. Vernooij, Marleen de Bruijne:
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network. CoRR abs/1907.12452 (2019) - [i29]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 abs/1908.08588 (2019) - [i28]Chaoping Zhang, Florian Dubost, Marleen de Bruijne, Stefan Klein, Dirk H. J. Poot:
APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network. CoRR abs/1909.09006 (2019) - [i27]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 abs/1911.01126 (2019) - [i26]Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne:
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations. CoRR abs/1911.01218 (2019) - 2018
- [j33]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): 2021-2028 (2018) - [j32]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): 1486-1496 (2018) - [c90]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: 590-604 - [c89]Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne:
Detecting emphysema with multiple instance learning. ISBI 2018: 510-513 - [c88]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: 140-149 - [c87]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: 238-250 - [c86]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: 750-758 - [c85]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: 768-776 - [c84]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. Image Processing 2018: 105741G - [c83]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. Image Processing 2018: 105742D - [i25]Florian Dubost, Hieab 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 abs/1802.05914 (2018) - [i24]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 abs/1803.07991 (2018) - [i23]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 abs/1804.03348 (2018) - [i22]Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne:
Extraction of Airways using Graph Neural Networks. CoRR abs/1804.04436 (2018) - [i21]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 abs/1804.06353 (2018) - [i20]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 abs/1806.07131 (2018) - [i19]Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne:
Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses. CoRR abs/1806.08981 (2018) - [i18]Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne:
Hydranet: Data Augmentation for Regression Neural Networks. CoRR abs/1807.04798 (2018) - [i17]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 abs/1807.08601 (2018) - [i16]A. Garcia-Uceda Juarez, Harm A. W. M. Tiddens, Marleen de Bruijne:
Automatic Airway Segmentation in chest CT using Convolutional Neural Networks. CoRR abs/1808.04576 (2018) - [i15]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 abs/1810.07433 (2018) - [i14]Shuai Chen, Marleen de Bruijne:
An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images. CoRR abs/1811.03549 (2018) - [i13]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 abs/1811.08674 (2018) - 2017
- [c82]Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne:
Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing. GRAIL/MFCA/MICGen@MICCAI 2017: 53-63 - [c81]Silas Nyboe Ørting, Veronika Cheplygina, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne:
Crowdsourced Emphysema Assessment. CVII-STENT/LABELS@MICCAI 2017: 126-135 - [c80]Florian Dubost, Gerda Bortsova, Hieab 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: 214-221 - [c79]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: 356-364 - [c78]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:
Evaluating Classifiers for Atherosclerotic Plaque Component Segmentation in MRI. MIUA 2017: 156-168 - [c77]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: 53-58 - [i12]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 abs/1701.05013 (2017) - [i11]Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Jesper Holst Pedersen, Marco Loog, Marleen de Bruijne:
Classification of COPD with Multiple Instance Learning. CoRR abs/1703.04980 (2017) - [i10]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 abs/1703.04981 (2017) - [i9]Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Marleen de Bruijne, Marco Loog:
Label Stability in Multiple Instance Learning. CoRR abs/1703.04986 (2017) - [i8]Florian Dubost, Gerda Bortsova, Hieab 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. CoRR abs/1705.07999 (2017) - [i7]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 abs/1706.01148 (2017) - [i6]Isabel Pino Peña, Veronika Cheplygina, Sofia Paschaloudi, Morten Vuust, Jesper Carl, Ulla Møller Weinreich, Lasse Riis Østergaard, Marleen de Bruijne:
Automatic Emphysema Detection using Weakly Labeled HRCT Lung Images. CoRR abs/1706.02051 (2017) - [i5]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 abs/1706.02055 (2017) - [i4]Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne:
Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing. CoRR abs/1708.02096 (2017) - 2016
- [j31]Marleen de Bruijne:
Machine learning approaches in medical image analysis: From detection to diagnosis. Medical Image Anal. 33: 94-97 (2016) - [j30]Andrés M. Arias Lorza, Jens Petersen, Arna van Engelen, Mariana Selwaness, Aad van der Lugt, Wiro J. Niessen, Marleen de Bruijne:
Carotid Artery Wall Segmentation in Multispectral MRI by Coupled Optimal Surface Graph Cuts. IEEE Trans. Medical Imaging 35(3): 901-911 (2016) - [j29]Gijs van Tulder, Marleen de Bruijne:
Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines. IEEE Trans. Medical Imaging 35(5): 1262-1272 (2016) - [c76]Veronika Cheplygina, Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne:
Asymmetric similarity-weighted ensembles for image segmentation. ISBI 2016: 273-277 - [c75]Gijs van Tulder, Marleen de Bruijne:
Representation Learning for Cross-Modality Classification. MCV/BAMBI@MICCAI 2016: 126-136 - [c74]Veronika Cheplygina, Adria Perez-Rovira, Wieying Kuo, Harm A. W. M. Tiddens, Marleen de Bruijne:
Early Experiences with Crowdsourcing Airway Annotations in Chest CT. LABELS/DLMIA@MICCAI 2016: 209-218 - [i3]Raghavendra Selvan, Jens Petersen, Jesper Johannes Holst Pedersen, Marleen de Bruijne:
Extraction of airway trees using multiple hypothesis tracking and template matching. CoRR abs/1611.08131 (2016) - 2015
- [j28]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:
MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. Comput. Intell. Neurosci. 2015: 813696:1-813696:16 (2015) - [j27]Annegreet van Opbroek, Meike W. Vernooij, Mohammad Arfan Ikram, Marleen de Bruijne:
Weighting training images by maximizing distribution similarity for supervised segmentation across scanners. Medical Image Anal. 24(1): 245-254 (2015) - [j26]Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne:
Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols. IEEE Trans. Medical Imaging 34(5): 1018-1030 (2015) - [j25]Aasa Feragen, Jens Petersen, Megan Owen, Pechin Lo, Laura Hohwu Thomsen, Mathilde Marie Winkler Wille, Asger Dirksen, Marleen de Bruijne:
Geodesic Atlas-Based Labeling of Anatomical Trees: Application and Evaluation on Airways Extracted From CT. IEEE Trans. Medical Imaging 34(6): 1212-1226 (2015) - [j24]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:
Multi-Center MRI Carotid Plaque Component Segmentation Using Feature Normalization and Transfer Learning. IEEE Trans. Medical Imaging 34(6): 1294-1305 (2015) - [c73]Annegreet van Opbroek, Hakim C. Achterberg, Marleen de Bruijne:
Feature-Space Transformation Improves Supervised Segmentation Across Scanners. MLMMI@ICML 2015: 85-93 - [c72]Gijs van Tulder, Marleen de Bruijne:
Why Does Synthesized Data Improve Multi-sequence Classification? MICCAI (1) 2015: 531-538 - [c71]Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Marleen de Bruijne, Marco Loog:
Label Stability in Multiple Instance Learning. MICCAI (1) 2015: 539-546 - 2014
- [j23]Jens Petersen, Mads Nielsen, Pechin Lo, Lars Haug Nordenmark, Jesper Johannes Holst Pedersen, Mathilde Marie Winkler Wille, Asger Dirksen, Marleen de Bruijne:
Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease. Medical Image Anal. 18(3): 531-541 (2014) - [j22]Ruwan B. Tennakoon, Alireza Bab-Hadiashar, Zhenwei Cao, Marleen de Bruijne:
Nonrigid Registration of Volumetric Images Using Ranked Order Statistics. IEEE Trans. Medical Imaging 33(2): 422-432 (2014) - [c70]Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Jesper Johannes Holst Pedersen, Marco Loog, Marleen de Bruijne:
Classification of COPD with Multiple Instance Learning. ICPR 2014: 1508-1513 - [c69]Gijs van Tulder, Marleen de Bruijne:
Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine. MCV 2014: 47-58 - 2013
- [j21]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:
Statistical coronary motion models for 2D + t/3D registration of X-ray coronary angiography and CTA. Medical Image Anal. 17(6): 698-709 (2013) - [j20]Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze:
Toward a Theory of Statistical Tree-Shape Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 2008-2021 (2013) - [j19]Alireza Bab-Hadiashar, Ruwan B. Tennakoon, Marleen de Bruijne:
Quantification of Smoothing Requirement for 3D Optic Flow Calculation of Volumetric Images. IEEE Trans. Image Process. 22(6): 2128-2137 (2013) - [c68]Aasa Feragen, Megan Owen, Jens Petersen, Mathilde M. W. Wille, Laura H. Thomsen, Asger Dirksen, Marleen de Bruijne:
Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees. IPMI 2013: 74-85 - [c67]Aasa Feragen, Jens Petersen, Dominik G. Grimm, Asger Dirksen, Jesper Johannes Holst Pedersen, Karsten M. Borgwardt, Marleen de Bruijne:
Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry. IPMI 2013: 171-183 - [c66]Ruwan Bandara Tennakoon, Alireza Bab-Hadiashar, Marleen de Bruijne, Zhenwei Cao:
Efficient nonrigid registration using ranked order statistics. ISBI 2013: 496-499 - [c65]Sepp de Raedt, Inger Mechlenburg, Maiken Stilling, Lone Rømer, Kjeld Søballe, Marleen de Bruijne:
Automated measurement of diagnostic angles for hip dysplasia. Computer-Aided Diagnosis 2013: 867009 - [c64]Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne:
A Transfer-Learning Approach to Image Segmentation Across Scanners by Maximizing Distribution Similarity. MLMI 2013: 49-56 - [c63]Jens Petersen, Marc Modat, Manuel Jorge Cardoso, Asger Dirksen, Sébastien Ourselin, Marleen de Bruijne:
Quantitative Airway Analysis in Longitudinal Studies Using Groupwise Registration and 4D Optimal Surfaces. MICCAI (2) 2013: 287-294 - [c62]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:
Carotid Artery Lumen Segmentation in 3D Free-Hand Ultrasound Images Using Surface Graph Cuts. MICCAI (2) 2013: 542-549 - [c61]Hakim C. Achterberg, Dirk H. J. Poot, Fedde van der Lijn, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen, Marleen de Bruijne:
Local appearance features for robust MRI brain structure segmentation across scanning protocols. Image Processing 2013: 866905 - [c60]Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen de Bruijne, Karsten M. Borgwardt:
Scalable kernels for graphs with continuous attributes. NIPS 2013: 216-224 - [i2]Aasa Feragen, Jens Petersen, Dominik G. Grimm, Asger Dirksen, Jesper Johannes Holst Pedersen, Karsten M. Borgwardt, Marleen de Bruijne:
Geometric tree kernels: Classification of COPD from airway tree geometry. CoRR abs/1303.7390 (2013) - 2012
- [j18]Melanie Ganz, Marleen de Bruijne, Erik B. Dam, Paola Pettersen, Morten Asser Karsdal, Claus Christiansen, Mads Nielsen:
Distribution, Size, and Shape of Abdominal Aortic Calcified Deposits and Their Relationship to Mortality in Postmenopausal Women. Int. J. Biomed. Imaging 2012: 459286:1-459286:8 (2012) - [j17]Vladlena Gorbunova, Jon Sporring, Pechin Lo, Martine Loeve, Harm A. Tiddens, Mads Nielsen, Asger Dirksen, Marleen de Bruijne:
Mass preserving image registration for lung CT. Medical Image Anal. 16(4): 786-795 (2012) - [j16]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:
Automated measurement of local white matter lesion volume. NeuroImage 59(4): 3901-3908 (2012) - [j15]Lauge Sørensen, Mads Nielsen, Pechin Lo, Haseem Ashraf, Jesper Johannes Holst Pedersen, Marleen de Bruijne:
Texture-Based Analysis of COPD: A Data-Driven Approach. IEEE Trans. Medical Imaging 31(1): 70-78 (2012) - [j14]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:
Automated Brain Structure Segmentation Based on Atlas Registration and Appearance Models. IEEE Trans. Medical Imaging 31(2): 276-286 (2012) - [j13]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:
Regression-Based Cardiac Motion Prediction From Single-Phase CTA. IEEE Trans. Medical Imaging 31(6): 1311-1325 (2012) - [j12]Nora Baka, Marleen de Bruijne, Theo van Walsum, Bart L. Kaptein, J. E. Giphart, Michiel Schaap, Wiro J. Niessen, Boudewijn P. F. Lelieveldt:
Statistical Shape Model-Based Femur Kinematics From Biplane Fluoroscopy. IEEE Trans. Medical Imaging 31(8): 1573-1583 (2012) - [j11]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:
Extraction of Airways From CT (EXACT'09). IEEE Trans. Medical Imaging 31(11): 2093-2107 (2012) - [c59]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:
A computer aided detection system for cerebral microbleeds in brain MRI. ISBI 2012: 138-141 - [c58]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:
Supervised in-vivo plaque characterization incorporating class label uncertainty. ISBI 2012: 246-249 - [c57]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:
Quantitative imaging biomarkers in neurologic disease: Population study perspective. ISBI 2012: 911 - [c56]C. Chen, Lauge Sørensen, François Lauze, Christian Igel, Marco Loog, Aasa Feragen, Marleen de Bruijne, Mads Nielsen:
Towards exaggerated emphysema stereotypes. Computer-Aided Diagnosis 2012: 83150Q - [c55]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:
Carotid Artery Wall Segmentation by Coupled Surface Graph Cuts. MCV 2012: 38-47 - [c54]Aasa Feragen, Jens Petersen, Megan Owen, Pechin Lo, Laura H. Thomsen, Mathilde M. W. Wille, Asger Dirksen, Marleen de Bruijne:
A Hierarchical Scheme for Geodesic Anatomical Labeling of Airway Trees. MICCAI (3) 2012: 147-155 - [c53]Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne:
Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach. MLMI 2012: 160-167 - [i1]Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze:
Towards a theory of statistical tree-shape analysis. CoRR abs/1207.5371 (2012) - 2011
- [j10]Nora Baka, Bart L. Kaptein, Marleen de Bruijne, Theo van Walsum, J. E. Giphart, Wiro J. Niessen, Boudewijn P. F. Lelieveldt:
2D-3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models. Medical Image Anal. 15(6): 840-850 (2011) - [j9]Alessandro Crimi, Martin Lillholm, Mads Nielsen, Anarta Ghosh, Marleen de Bruijne, Erik B. Dam, Jon Sporring:
Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling. IEEE Trans. Medical Imaging 30(8): 1514-1526 (2011) - [j8]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:
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. IEEE Trans. Medical Imaging 30(11): 1901-1920 (2011) - [j7]Michiel Schaap, Theo van Walsum, Lisan Neefjes, Coert Metz, Ermanno Capuano, Marleen de Bruijne, Wiro J. Niessen:
Robust Shape Regression for Supervised Vessel Segmentation and its Application to Coronary Segmentation in CTA. IEEE Trans. Medical Imaging 30(11): 1974-1986 (2011) - [c52]Jens Petersen, Mads Nielsen, Pechin Lo, Zaigham Saghir, Asger Dirksen, Marleen de Bruijne:
Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation. IPMI 2011: 49-60 - [c51]Lauge Sørensen, Pechin Lo, Asger Dirksen, Jens Petersen, Marleen de Bruijne:
Dissimilarity-Based Classification of Anatomical Tree Structures. IPMI 2011: 475-485 - [c50]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:
Plaque characterization in ex vivo MRI evaluated by dense 3D correspondence with histology. Computer-Aided Diagnosis 2011: 796329 - [c49]Dirk H. J. Poot, Marleen de Bruijne, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen:
Improved Tissue Segmentation by Including an MR Acquisition Model. MBIA 2011: 152-159 - [c48]Nora Baka, Coert Metz, Michiel Schaap, Boudewijn P. F. Lelieveldt, Wiro J. Niessen, Marleen de Bruijne:
Comparison of Shape Regression Methods under Landmark Position Uncertainty. MICCAI (2) 2011: 434-441 - 2010
- [j6]Pechin Lo, Jon Sporring, Haseem Ashraf, Jesper Johannes Holst Pedersen, Marleen de Bruijne:
Vessel-guided airway tree segmentation: A voxel classification approach. Medical Image Anal. 14(4): 527-538 (2010) - [j5]Lauge Sørensen, Saher B. Shaker, Marleen de Bruijne:
Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns. IEEE Trans. Medical Imaging 29(2): 559-569 (2010) - [c47]Aasa Feragen, François Lauze, Pechin Lo, Marleen de Bruijne, Mads Nielsen:
Geometries on Spaces of Treelike Shapes. ACCV (2) 2010: 160-173 - [c46]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:
Early diagnosis of dementia based on intersubject whole-brain dissimilarities. ISBI 2010: 249-252 - [c45]Vladlena Gorbunova, Stanley Durrleman, Pechin Lo, Xavier Pennec, Marleen de Bruijne:
Lung CT registration combining intensity, curves and surfaces. ISBI 2010: 340-343 - [c44]Pechin Lo, Bram van Ginneken, Marleen de Bruijne:
Vessel tree extraction using locally optimal paths. ISBI 2010: 680-683 - [c43]Nora Baka, Marleen de Bruijne, Johan H. C. Reiber, Wiro J. Niessen, Boudewijn P. F. Lelieveldt:
Confidence of model based shape reconstruction from sparse data. ISBI 2010: 1077-1080 - [c42]Melanie Ganz, Marleen de Bruijne, Mads Nielsen:
MACD: an imaging marker for cardiovascular disease. Computer-Aided Diagnosis 2010: 76240P - [c41]Jens Petersen, Pechin Lo, Mads Nielsen, Goutham Edula, Haseem Ashraf, Asger Dirksen, Marleen de Bruijne:
Quantitative analysis of airway abnormalities in CT. Computer-Aided Diagnosis 2010: 76241S - [c40]Lauge Sørensen, Marco Loog, Pechin Lo, Haseem Ashraf, Asger Dirksen, Robert P. W. Duin, Marleen de Bruijne:
Image Dissimilarity-Based Quantification of Lung Disease from CT. MICCAI (1) 2010: 37-44 - [c39]Hakim C. Achterberg, Fedde van der Lijn, Tom den Heijer, Aad van der Lugt, Monique M. B. Breteler, Wiro J. Niessen, Marleen de Bruijne:
Prediction of Dementia by Hippocampal Shape Analysis. MLMI 2010: 42-49 - [c38]Mehrdad J. Gangeh, Lauge Sørensen, Saher B. Shaker, Mohamed S. Kamel, Marleen de Bruijne:
Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung. MCV 2010: 153-163 - [c37]Vladlena Gorbunova, Sander S. A. M. Jacobs, Pechin Lo, Asger Dirksen, Mads Nielsen, Alireza Bab-Hadiashar, Marleen de Bruijne:
Early Detection of Emphysema Progression. MICCAI (2) 2010: 193-200 - [c36]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:
Conditional Shape Models for Cardiac Motion Estimation. MICCAI (1) 2010: 452-459 - [c35]Mehrdad J. Gangeh, Lauge Sørensen, Saher B. Shaker, Mohamed S. Kamel, Marleen de Bruijne, Marco Loog:
A Texton-Based Approach for the Classification of Lung Parenchyma in CT Images. MICCAI (3) 2010: 595-602 - [c34]Lauge Sørensen, Marco Loog, David M. J. Tax, Wan-Jui Lee, Marleen de Bruijne, Robert P. W. Duin:
Dissimilarity-Based Multiple Instance Learning. SSPR/SPR 2010: 129-138
2000 – 2009
- 2009
- [c33]Stefan Sommer, Aditya Tatu, Chen Chen, D. R. Jurgensen, Marleen de Bruijne, Marco Loog, Mads Nielsen, François Lauze:
Bicycle chain shape models. CVPR Workshops 2009: 157-163 - [c32]Marco Loog, Marleen de Bruijne:
Discriminative Shape Alignment. IPMI 2009: 459-466 - [c31]Fedde van der Lijn, Marleen de Bruijne, Yoo Young Hoogendam, Stefan Klein, Reinhard Hameeteman, Monique M. B. Breteler, Wiro J. Niessen:
Cerebellum Segmentation in MRI Using Atlas Registration and Local Multi-Scale Image Descriptors. ISBI 2009: 221-224 - [c30]Lauge Sørensen, Marleen de Bruijne:
Dissimilarity representations in lung parenchyma classification. Computer-Aided Diagnosis 2009: 72602Z - [c29]Pechin Lo, Jon Sporring, Jesper Johannes Holst Pedersen, Marleen de Bruijne:
Airway Tree Extraction with Locally Optimal Paths. MICCAI (1) 2009: 51-58 - [c28]Lauge Sørensen, Pechin Lo, Haseem Ashraf, Jon Sporring, Mads Nielsen, Marleen de Bruijne:
Learning COPD Sensitive Filters in Pulmonary CT. MICCAI (1) 2009: 699-706 - [c27]Vladlena Gorbunova, Pechin Lo, Martine Loeve, Harm A. Tiddens, Jon Sporring, Mads Nielsen, Marleen de Bruijne:
Mass preserving registration for lung CT. Image Processing 2009: 72592R - 2008
- [j4]Mads Nielsen, Marleen de Bruijne, Camilla Jørgensen, Søren I. Olsen, Kim Steenstrup Pedersen, Jon Sporring:
Special Issue on Tribute Workshop for Peter Johansen. J. Math. Imaging Vis. 31(2-3): 119-120 (2008) - [c26]Marleen de Bruijne, Paola Pettersen:
Supervised shape analysis for risk assessment in osteoporosis. ISBI 2008: 1581-1584 - [c25]Vladlena Gorbunova, Pechin Lo, Haseem Ashraf, Asger Dirksen, Mads Nielsen, Marleen de Bruijne:
Weight Preserving Image Registration for Monitoring Disease Progression in Lung CT. MICCAI (2) 2008: 863-870 - [c24]Lauge Sørensen, Saher B. Shaker, Marleen de Bruijne:
Texture Classification in Lung CT Using Local Binary Patterns. MICCAI (1) 2008: 934-941 - [c23]Pechin Lo, Marleen de Bruijne:
Voxel classification based airway tree segmentation. Image Processing 2008: 69141K - [c22]Lauge Sørensen, Jakob Østergaard, Peter Johansen, Marleen de Bruijne:
Multi-object tracking of human spermatozoa. Image Processing 2008: 69142C - [c21]Eva M. van Rikxoort, Marleen de Bruijne, Bram van Ginneken:
Integrating local voxel classification and global shape models for medical image segmentation. Image Processing 2008: 69144J - 2007
- [j3]Marleen de Bruijne, Michael T. Lund, László B. Tankó, Paola Pettersen, Mads Nielsen:
Quantitative vertebral morphometry using neighbor-conditional shape models. Medical Image Anal. 11(5): 503-512 (2007) - [c20]Lars A. Conrad-Hansen, Marleen de Bruijne, Mads Nielsen, Maria Petrou:
Semi-automatic detection of calcifications using nonlinear stretching on x-ray images. Computer-Aided Diagnosis 2007: 65142N - [c19]Juan Eugenio Iglesias, Marleen de Bruijne, Marco Loog, François Lauze, Mads Nielsen:
A Family of Principal Component Analyses for Dealing with Outliers. MICCAI (2) 2007: 178-185 - [c18]Lars A. Conrad-Hansen, Marleen de Bruijne, François Lauze, László B. Tankó, Paola Pettersen, Qing He, Jianghong Chen, Claus Christiansen, Mads Nielsen:
Quantifying Calcification in the Lumbar Aorta on X-Ray Images. MICCAI (2) 2007: 352-359 - [c17]Marleen de Bruijne, Paola C. Pettersen, László B. Tankó, Mads Nielsen:
Vertebral fracture classification. Image Processing 2007: 651219 - [c16]François Lauze, Marleen de Bruijne:
Toward automated detection and segmentation of aortic calcifications from radiographs. Image Processing 2007: 651239 - 2006
- [c15]Marleen de Bruijne:
Shape Particle Guided Tissue Classification. CVPR Workshops 2006: 64 - [c14]Marleen de Bruijne, Michael T. Lund, László B. Tankó, Paola Pettersen, Mads Nielsen:
Quantitative Vertebral Morphometry Using Neighbor-Conditional Shape Models. MICCAI (1) 2006: 1-8 - [c13]Lars A. Conrad-Hansen, Marleen de Bruijne, François Lauze, László B. Tankó, Mads Nielsen:
A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images. Image Processing 2006: 61441F - 2005
- [c12]Marleen de Bruijne:
A Pattern Classification Approach to Aorta Calcium Scoring in Radiographs. CVBIA 2005: 170-177 - [c11]Lars A. Conrad-Hansen, Marleen de Bruijne, François Lauze, László B. Tankó, Mads Nielsen:
Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images. CVBIA 2005: 409-418 - [c10]Marleen de Bruijne, Mads Nielsen:
Multi-object Segmentation Using Shape Particles. IPMI 2005: 762-773 - [c9]Michael Tillge Lund, Marleen de Bruijne, László B. Tankó, Mads Nielsen:
Shape regression for vertebra fracture quantification. Image Processing 2005 - 2004
- [j2]Marleen de Bruijne, Bram van Ginneken, Max A. Viergever, Wiro J. Niessen:
Interactive segmentation of abdominal aortic aneurysms in CTA images. Medical Image Anal. 8(2): 127-138 (2004) - [c8]Marleen de Bruijne, Mads Nielsen:
Image Segmentation by Shape Particle Filtering. ICPR (3) 2004: 722-725 - [c7]Marleen de Bruijne, Mads Nielsen:
Shape Particle Filtering for Image Segmentation. MICCAI (1) 2004: 168-175 - 2003
- [j1]Marleen de Bruijne, Wiro J. Niessen, J. B. Antoine Maintz, Max A. Viergever:
Localization and Segmentation of Aortic Endografts using Marker Detection. IEEE Trans. Medical Imaging 22(4): 473-482 (2003) - [c6]Marleen de Bruijne, Bram van Ginneken, Max A. Viergever, Wiro J. Niessen:
Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images. IPMI 2003: 136-147 - [c5]Marleen de Bruijne, Bram van Ginneken, Lambertus W. Bartels, Maarten J. van der Laan, Jan D. Blankensteijn, Wiro J. Niessen, Max A. Viergever:
Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images. MICCAI (2) 2003: 538-545 - [c4]Marleen de Bruijne, Bram van Ginneken, Wiro J. Niessen, Marco Loog, Max A. Viergever:
Model-based segmentation of abdominal aortic aneurysms in CTA images. Image Processing 2003 - [c3]Bram van Ginneken, Marleen de Bruijne, Marco Loog, Max A. Viergever:
Interactive shape models. Image Processing 2003 - 2002
- [c2]Marleen de Bruijne, Bram van Ginneken, Wiro J. Niessen, J. B. Antoine Maintz, Max A. Viergever:
Active-shape-model-based segmentation of abdominal aortic aneurysms in CTA images. Image Processing 2002 - 2001
- [c1]Marleen de Bruijne, Wiro J. Niessen, J. B. Antoine Maintz, Max A. Viergever:
Semiautomatic aortic endograft localization for postoperative evaluation of endovascular aneurysm treatment. Image Processing 2001
Coauthor Index
Silas Nyboe Ørting
aka: Silas N. Ørting
aka: Silas N. Ørting
Jesper Johannes Holst Pedersen
aka: Jesper Holst Pedersen
aka: Jesper Holst Pedersen
Laura H. Thomsen
aka: Laura Hohwu Thomsen
aka: Laura Hohwu Thomsen
Harm A. Tiddens
aka: Harm A. W. M. Tiddens
aka: Harm A. W. M. Tiddens
Mathilde M. W. Wille
aka: Mathilde Marie Winkler Wille
aka: Mathilde Marie Winkler Wille
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