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Josien P. W. Pluim

ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification


Jul 27, 2021
Ralf Raumanns, Gerard Schouten, Max Joosten, Josien P. W. Pluim, Veronika Cheplygina

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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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Using uncertainty estimation to reduce false positives in liver lesion detection


Jan 26, 2021
Ishaan Bhat, Hugo J. Kuijf, Veronika Cheplygina, Josien P. W. Pluim

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* Accepted at IEEE ISBI 2021 
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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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Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology


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

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Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning


Jun 30, 2020
Linde S. Hesse, Pim A. de Jong, Josien P. W. Pluim, Veronika Cheplygina

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* MSc thesis Linde Hesse 
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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

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* First three authors contributed equally 
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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

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* To be published in Translational Vision Science & Technology 
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clDice -- a Topology-Preserving Loss Function for Tubular Structure Segmentation


Mar 29, 2020
Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina, Andrey Zhylka, Ivan Ezhov, Alexander Unger, Josien P. W. Pluim, Giles Tetteh, Bjoern H. Menze

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* * The authors Suprosanna Shit and Johannes C. Paetzold contributed equally to the work 
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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

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* to be published in the proceeding of SPIE - Medical Imaging 2020, 6 pages, 1 figure 
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Liver segmentation and metastases detection in MR images using convolutional neural networks


Oct 15, 2019
Mariëlle J. A. Jansen, Hugo J. Kuijf, Maarten Niekel, Wouter B. Veldhuis, Frank J. Wessels, Max A. Viergever, Josien P. W. Pluim

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* J. Med. Imag. 6(4), 044003 (2019) 
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Motion correction of dynamic contrast enhanced MRI of the liver


Aug 22, 2019
Mariëlle J. A. Jansen, Wouter B. Veldhuis, Maarten S. van Leeuwen, Josien P. W. Pluim


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Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation


Aug 22, 2019
Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim

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* Submitted to SPIE Medical Imaging 2019 
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Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis


Sep 14, 2018
Veronika Cheplygina, Marleen de Bruijne, Josien P. W. Pluim

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* Submitted to Medical Image Analysis 
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Crowd disagreement about medical images is informative


Aug 17, 2018
Veronika Cheplygina, Josien P. W. Pluim

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* Accepted for publication at MICCAI LABELS 2018 
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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

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

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* IEEE International Symposium on Biomedical Imaging (ISBI), 2018 
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Isointense infant brain MRI segmentation with a dilated convolutional neural network


Aug 09, 2017
Pim Moeskops, Josien P. W. Pluim

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* MICCAI grand challenge on 6-month infant brain MRI segmentation 
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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

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* 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

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* MICCAI 2017 Workshop on Deep Learning in Medical Image Analysis 
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Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest


Sep 01, 2016
Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot

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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

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* 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

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