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Corneal Pachymetry by AS-OCT after Descemet's Membrane Endothelial Keratoplasty


Feb 15, 2021
Friso G. Heslinga, Ruben T. Lucassen, Myrthe A. van den Berg, Luuk van der Hoek, Josien P. W. Pluim, Javier Cabrerizo, Mark Alberti, Mitko Veta


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Physics-informed neural networks for myocardial perfusion MRI quantification


Dec 07, 2020
Rudolf L. M. van Herten, Amedeo Chiribiri, Marcel Breeuwer, Mitko Veta, Cian M. Scannell

* Submitted to Medical Image Analysis 

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Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images


Oct 07, 2020
Suzanne C. Wetstein, Nikolas Stathonikos, Josien P. W. Pluim, Yujing J. Heng, Natalie D. ter Hoeve, Celien P. H. Vreuls, Paul J. van Diest, Mitko Veta


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Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation


Aug 26, 2020
Cian M. Scannell, Amedeo Chiribiri, Mitko Veta

* Accepted at the STACOM workshop at MICCAI 2020 

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Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology


Aug 26, 2020
Maxime W. Lafarge, Josien P. W. Pluim, Mitko Veta


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Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labels


Jul 10, 2020
Christof A. Bertram, Mitko Veta, Christian Marzahl, Nikolas Stathonikos, Andreas Maier, Robert Klopfleisch, Marc Aubreville

* 10 pages, submitted to [email protected] 2020 

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Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors


Jun 12, 2020
Suzanne C. Wetstein, Cristina González-Gonzalo, Gerda Bortsova, Bart Liefers, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bram van Ginneken, Josien P. W. Pluim, Marleen de Bruijne, Clara I. Sánchez, Mitko Veta

* First three authors contributed equally 

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A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging


May 07, 2020
Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Elodie Puybareau, Younes Khoudli, Thierry Geraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Menyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nunez-Garcia, Oscar Camara, Nicolo Savioli, Pablo Lamata, Jichao Zhao


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Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks


Apr 24, 2020
Friso G. Heslinga, Mark Alberti, Josien P. W. Pluim, Javier Cabrerizo, Mitko Veta

* To be published in Translational Vision Science & Technology 

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Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis


Feb 20, 2020
Maxime W. Lafarge, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Mitko Veta


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Direct Classification of Type 2 Diabetes From Retinal Fundus Images in a Population-based Sample From The Maastricht Study


Nov 22, 2019
Friso G. Heslinga, Josien P. W. Pluim, A. J. H. M. Houben, Miranda T. Schram, Ronald M. A. Henry, Coen D. A. Stehouwer, Marleen J. van Greevenbroek, Tos T. J. M. Berendschot, Mitko Veta

* to be published in the proceeding of SPIE - Medical Imaging 2020, 6 pages, 1 figure 

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Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk


Oct 31, 2019
Suzanne C Wetstein, Allison M Onken, Christina Luffman, Gabrielle M Baker, Michael E Pyle, Kevin H Kensler, Ying Liu, Bart Bakker, Ruud Vlutters, Marinus B van Leeuwen, Laura C Collins, Stuart J Schnitt, Josien PW Pluim, Rulla M Tamimi, Yujing J Heng, Mitko Veta


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Intensity augmentation for domain transfer of whole breast segmentation in MRI


Sep 05, 2019
Linde S. Hesse, Grey Kuling, Mitko Veta, Anne L. Martel

* Preprint 

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Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI


Jul 27, 2019
Cian M. Scannell, Piet van den Bosch, Amedeo Chiribiri, Jack Lee, Marcel Breeuwer, Mitko Veta

* Medical Imaging with Deep Learning: MIDL 2019 Extended Abstract Track. MIDL 2019 [arXiv:1907.08612] 

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Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge


Jul 22, 2018
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikael Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim

* Overview paper of the TUPAC16 challenge: http://tupac.tue-image.nl/ 

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Roto-Translation Covariant Convolutional Networks for Medical Image Analysis


Jun 11, 2018
Erik J Bekkers, Maxime W Lafarge, Mitko Veta, Koen AJ Eppenhof, Josien PW Pluim, Remco Duits

* 8 pages, 2 figures, 1 table, accepted at MICCAI 2018 

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Inferring a Third Spatial Dimension from 2D Histological Images


Jan 10, 2018
Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta

* IEEE International Symposium on Biomedical Imaging (ISBI), 2018 

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Domain-adversarial neural networks to address the appearance variability of histopathology images


Jul 19, 2017
Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta

* MICCAI 2017 Workshop on Deep Learning in Medical Image Analysis 

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Adversarial training and dilated convolutions for brain MRI segmentation


Jul 11, 2017
Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim

* MICCAI 2017 Workshop on Deep Learning in Medical Image Analysis 

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Exploring the similarity of medical imaging classification problems


Jun 12, 2017
Veronika Cheplygina, Pim Moeskops, Mitko Veta, Behdad Dasht Bozorg, Josien Pluim


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Cutting out the middleman: measuring nuclear area in histopathology slides without segmentation


Jun 20, 2016
Mitko Veta, Paul J. van Diest, Josien P. W. Pluim

* Conditionally accepted for MICCAI 2016 

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Assessment of algorithms for mitosis detection in breast cancer histopathology images


Nov 21, 2014
Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio Gonzalez, Anders B. L. Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Cireşan, Jürgen Schmidhuber, Alessandro Giusti, Luca M. Gambardella, F. Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frederic Precioso, Violet Snell, Josef Kittler, Teofilo E. de Campos, Adnan M. Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim

* 23 pages, 5 figures, accepted for publication in the journal Medical Image Analysis 

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