Josien P. W. Pluim

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 99

Top Venues

CoRR

Medical Image Anal.

Medical Imaging: Image Processing

ISBI

Publications

Aymen Ayaz, Yasmina Al Khalil, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer
Brain MR image simulation for deep learning based medical image analysis networks. Comput. Methods Programs Biomed. 248 (2024)
Ralf Raumanns, Gerard Schouten, Josien P. W. Pluim, Veronika Cheplygina
Dataset Distribution Impacts Model Fairness: Single vs. Multi-Task Learning. CoRR (2024)
Hassan Keshvarikhojasteh, Josien P. W. Pluim, Mitko Veta
Multi-head Attention-based Deep Multiple Instance Learning. CoRR (2024)
Yasmina Al Khalil, Aymen Ayaz, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer
Multi-modal brain tumor segmentation via conditional synthesis with Fourier domain adaptation. Comput. Medical Imaging Graph. 112 (2024)
Hong Liu, Haosen Yang, Paul J. van Diest, Josien P. W. Pluim, Mitko Veta
WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images. CoRR (2024)
Hassan Keshvarikhojasteh, Josien P. W. Pluim, Mitko Veta
Multiple Instance Learning with random sampling for Whole Slide Image Classification. CoRR (2024)
Mahmoud Ibrahim, Yasmina Al Khalil, Sina Amirrajab, Chang Sun, Marcel Breeuwer, Josien P. W. Pluim, Bart Elen, Gokhan Ertaylan, Michel Dumontier
Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges. CoRR (2024)
Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Shenghua Cheng, Jiabo Ma, John Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan-E-Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Xiuli Liu, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Yasmina Al Khalil, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer
Reducing segmentation failures in cardiac MRI via late feature fusion and GAN-based augmentation. Comput. Biol. Medicine 161 (2023)
Iris Kolenbrander, Evi M. C. Huijben, Johanna N. A. Bergmans, Kim F. M. van Bussel, Josien P. W. Pluim, Maureen A. J. M. van Eijnatten
The Importance of Realistic Training Deformations for Respiratory CT Registration. ISBI (2023)
Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever, Hugo J. Kuijf
Effect of latent space distribution on the segmentation of images with multiple annotations. CoRR (2023)
Evi M. C. Huijben, Sina Amirrajab, Josien P. W. Pluim
Histogram- and Diffusion-Based Medical Out-of-Distribution Detection. CoRR (2023)
Yasmina Al Khalil, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer
On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images. Medical Image Anal. 84 (2023)
Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Jiabo Ma, Jiamei Sun, Johnathon Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan e Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Thomas Watson, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. CoRR (2023)
Sina Amirrajab, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer
A Framework for Simulating Cardiac MR Images With Varying Anatomy and Contrast. IEEE Trans. Medical Imaging 42 (3) (2023)
Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer
Pathology Synthesis of 3D Consistent Cardiac MR Im-ages Using 2D VAEs and GANs. CoRR (2022)
Sina Amirrajab, Yasmina Al Khalil, Josien P. W. Pluim, Marcel Breeuwer, Cian M. Scannell
Cardiac MR Image Segmentation and Quality Control in the Presence of Respiratory Motion Artifacts Using Simulated Data. STACOM@MICCAI (2022)
Sina Amirrajab, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer
sim2real: Cardiac MR Image Simulation-to-Real Translation via Unsupervised GANs. CoRR (2022)
Ishaan Bhat, Josien P. W. Pluim, Hugo J. Kuijf
Generalized Probabilistic U-Net for Medical Image Segementation. UNSURE@MICCAI (2022)
Clément Chadebec, Evi M. C. Huijben, Josien P. W. Pluim, Stéphanie Allassonnière, Maureen A. J. M. van Eijnatten
An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories. DGM4MICCAI@MICCAI (2022)
Seyed Mostafa Kia, Nastaran Mohammadian Rad, Daniel van Opstal, Bart van Schie, Andre F. Marquand, Josien P. W. Pluim, Wiepke Cahn, Hugo G. Schnack
PROMISSING: Pruning Missing Values in Neural Networks. CoRR (2022)
Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer
Pathology Synthesis of 3D Consistent Cardiac MR Images Using 2D VAEs and GANs. SASHIMI@MICCAI (2022)
Sina Amirrajab, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer
Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks. Comput. Medical Imaging Graph. 101 (2022)
Chiara Maffei, Gabriel Girard, Kurt G. Schilling, Dogu Baran Aydogan, Nagesh Adluru, Andrey Zhylka, Ye Wu, Matteo Mancini, Andac Hamamci, Alessia Sarica, Achille Teillac, Steven H. Baete, Davood Karimi, Fang-Cheng Yeh, Mert E. Yildiz, Ali Gholipour, Yann Bihan-Poudec, Bassem Hiba, Andrea Quattrone, Aldo Quattrone, Tommy Boshkovski, Nikola Stikov, Pew-Thian Yap, Alberto De Luca, Josien P. W. Pluim, Alexander Leemans, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Bennett A. Landman, Erick Jorge Canales-Rodríguez, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Gaëtan Rensonnet, Simona Schiavi, Alessandro Daducci, Marco Pizzolato, Elda Fischi Gomez, Jean-Philippe Thiran, George Dai, Giorgia Grisot, Nikola Lazovski, Santi Puch, Marc Ramos, Paulo Rodrigues, Vesna Prckovska, Robert Jones, Julia Lehman, Suzanne N. Haber, Anastasia Yendiki
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. NeuroImage 257 (2022)
Ishaan Bhat, Josien P. W. Pluim, Hugo J. Kuijf
Generalized Probabilistic U-Net for medical image segementation. CoRR (2022)
Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever, Hugo J. Kuijf
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection. CoRR (2022)
Yasmina Al Khalil, Aymen Ayaz, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer
A Stratified Cascaded Approach for Brain Tumor Segmentation with the Aid of Multi-modal Synthetic Data. DALI@MICCAI (2022)
Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina, Ivan Ezhov, Alexander Unger, Andrey Zhylka, Josien P. W. Pluim, Ulrich Bauer, Bjoern H. Menze
clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation. CVPR (2021)
Ishaan Bhat, Hugo J. Kuijf, Veronika Cheplygina, Josien P. W. Pluim
Using uncertainty estimation to reduce false positives in liver lesion detection. CoRR (2021)
Min Wu, Navchetan Awasthi, Nastaran Mohammadian Rad, Josien P. W. Pluim, Richard G. P. Lopata
Advanced Ultrasound and Photoacoustic Imaging in Cardiology. Sensors 21 (23) (2021)
Coen de Vente, Pieter Vos, Matin Hosseinzadeh, Josien P. W. Pluim, Mitko Veta
Deep Learning Regression for Prostate Cancer Detection and Grading in Bi-Parametric MRI. IEEE Trans. Biomed. Eng. 68 (2) (2021)
Maxime W. Lafarge, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Mitko Veta
Roto-translation equivariant convolutional networks: Application to histopathology image analysis. Medical Image Anal. 68 (2021)
Bram M. van der Velden, Mitko Veta, Josien P. W. Pluim, Mark Alberti, Friso G. Heslinga
Radial U-Net: Improving DMEK Graft Detachment Segmentation in Radial AS-OCT Scans. OMIA@MICCAI (2021)
Gerda Bortsova, Cristina González-Gonzalo, Suzanne C. Wetstein, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bart Liefers, Bram van Ginneken, Josien P. W. Pluim, Mitko Veta, Clara I. Sánchez, Marleen de Bruijne
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors. Medical Image Anal. 73 (2021)
Ralf Raumanns, Gerard Schouten, Max Joosten, Josien P. W. Pluim, Veronika Cheplygina
ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification. CoRR (2021)
Juul P. A. van Boxtel, Vincent R. J. Vousten, Josien P. W. Pluim, Nastaran Mohammadian Rad
Hybrid Deep Neural Network for Brachial Plexus Nerve Segmentation in Ultrasound Images. CoRR (2021)
Yasmina Al Khalil, Sina Amirrajab, Josien P. W. Pluim, Marcel Breeuwer
Late Fusion U-Net with GAN-Based Augmentation for Generalizable Cardiac MRI Segmentation. STACOM@MICCAI (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
Corneal Pachymetry by AS-OCT after Descemet's Membrane Endothelial Keratoplasty. CoRR (2021)
Ishaan Bhat, Hugo J. Kuijf, Veronika Cheplygina, Josien P. W. Pluim
Using Uncertainty Estimation To Reduce False Positives In Liver Lesion Detection. ISBI (2021)
Juul P. A. van Boxtel, Vincent R. J. Vousten, Josien P. W. Pluim, Nastaran Mohammadian Rad
Hybrid Deep Neural Network for Brachial Plexus Nerve Segmentation in Ultrasound Images. EUSIPCO (2021)
Mike van Zon, Nikolas Stathonikos, Willeke A. M. Blokx, Selim Komina, Sybren L. N. Maas, Josien P. W. Pluim, Paul J. van Diest, Mitko Veta
Segmentation and Classification of Melanoma and Nevus in Whole Slide Images. ISBI (2020)
Friso G. Heslinga, Mark Alberti, Josien P. W. Pluim, Javier Cabrerizo, Mitko Veta
Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks. CoRR (2020)
Samaneh Abbasi-Sureshjani, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model. CoRR (2020)
Linde S. Hesse, Pim A. de Jong, Josien P. W. Pluim, Veronika Cheplygina
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning. CoRR (2020)
Sina Amirrajab, Samaneh Abbasi-Sureshjani, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer
XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms. CoRR (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
Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images. CoRR (2020)
Maxime W. Lafarge, Josien P. W. Pluim, Mitko Veta
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology. CoRR (2020)
Samaneh Abbasi-Sureshjani, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model. MIDL (2020)
Sina Amirrajab, Samaneh Abbasi-Sureshjani, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer
XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms. MICCAI (4) (2020)
Maxime W. Lafarge, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Mitko Veta
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis. CoRR (2020)
Suzanne C. Wetstein, Cristina González-Gonzalo, Gerda Bortsova, Bart Liefers, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bram van Ginneken, Josien P. W. Pluim, Marleen de Bruijne, Clara I. Sánchez, Mitko Veta
Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors. CoRR (2020)
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
Direct classification of type 2 diabetes from retinal fundus images in a population-based sample from the Maastricht study. Medical Imaging: Computer-Aided Diagnosis (2020)
Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina, Andrey Zhylka, Ivan Ezhov, Alexander Unger, Josien P. W. Pluim, Giles Tetteh, Bjoern H. Menze
clDice - a Topology-Preserving Loss Function for Tubular Structure Segmentation. CoRR (2020)
Koen A. J. Eppenhof, Maxime W. Lafarge, Mitko Veta, Josien P. W. Pluim
Progressively Trained Convolutional Neural Networks for Deformable Image Registration. IEEE Trans. Medical Imaging 39 (5) (2020)
João Fernandes, Victor Alves, Nadieh Khalili, Manon J. N. L. Benders, Ivana Isgum, Josien P. W. Pluim, Pim Moeskops
Convolutional Neural Network-Based Regression for Quantification of Brain Characteristics Using MRI. WorldCIST (2) (2019)
Koen A. J. Eppenhof, Maxime W. Lafarge, Josien P. W. Pluim
Progressively growing convolutional networks for end-to-end deformable image registration. Medical Imaging: Image Processing (2019)
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Josien P. W. Pluim
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. Medical Image Anal. 54 (2019)
Veronika Cheplygina, Marleen de Bruijne, Josien P. W. Pluim
Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis. Medical Image Anal. 54 (2019)
Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim
Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation. Medical Imaging: Image Processing (2019)
Koen A. J. Eppenhof, Josien P. W. Pluim
Pulmonary CT Registration Through Supervised Learning With Convolutional Neural Networks. IEEE Trans. Medical Imaging 38 (5) (2019)
Mariëlle J. A. Jansen, Hugo J. Kuijf, Maarten Niekel, Wouter B. Veldhuis, Frank J. Wessels, Max A. Viergever, Josien P. W. Pluim
Liver segmentation and metastases detection in MR images using convolutional neural networks. CoRR (2019)
Suzanne C. Wetstein, Allison M. Onken, Gabrielle M. Baker, Michael E. Pyle, Josien P. W. Pluim, Rulla M. Tamimi, Yujing J. Heng, Mitko Veta
Detection of acini in histopathology slides: towards automated prediction of breast cancer risk. Medical Imaging: Digital Pathology (2019)
Mariëlle J. A. Jansen, Wouter B. Veldhuis, Maarten S. van Leeuwen, Josien P. W. Pluim
Motion correction of dynamic contrast enhanced MRI of the liver. CoRR (2019)
Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jiawei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S. Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien P. W. Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M. Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging 38 (9) (2019)
Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim
Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation. CoRR (2019)
Maxime W. Lafarge, Juan C. Caicedo, Anne E. Carpenter, Josien P. W. Pluim, Shantanu Singh, Mitko Veta
Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning. MIDL (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
Direct Classification of Type 2 Diabetes From Retinal Fundus Images in a Population-based Sample From The Maastricht Study. CoRR (2019)
Friso G. Heslinga, Josien P. W. Pluim, Behdad Dashtbozorg, Tos T. J. M. Berendschot, A. J. H. M. Houben, Ronald M. A. Henry, Mitko Veta
Approximation of a pipeline of unsupervised retina image analysis methods with a CNN. Medical Imaging: Image Processing (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 P. W. Pluim, Rulla M. Tamimi, Yujing J. Heng, Mitko Veta
Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk. CoRR (2019)
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. 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
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR (2018)
Veronika Cheplygina, Josien P. W. Pluim
Crowd Disagreement About Medical Images Is Informative. CVII-STENT/LABELS@MICCAI (2018)
Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
Inferring a third spatial dimension from 2D histological images. ISBI (2018)
Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. MICCAI (1) (2018)
Jiong Zhang, Erik J. Bekkers, Da Chen, Tos T. J. M. Berendschot, Jan Schouten, Josien P. W. Pluim, Yonggang Shi, Behdad Dashtbozorg, Bart M. ter Haar Romeny
Reconnection of Interrupted Curvilinear Structures via Cortically Inspired Completion for Ophthalmologic Images. IEEE Trans. Biomed. Eng. 65 (5) (2018)
Coen de Vente, Mitko Veta, Orod Razeghi, Steven A. Niederer, Josien P. W. Pluim, Kawal S. Rhode, Rashed Karim
Convolutional Neural Networks for Segmentation of the Left Atrium from Gadolinium-Enhancement MRI Images. STACOM@MICCAI (2018)
Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
Inferring a Third Spatial Dimension from 2D Histological Images. CoRR (2018)
Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim
Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images: A feasibility study. ISBI (2018)
Koen A. J. Eppenhof, Maxime W. Lafarge, Pim Moeskops, Mitko Veta, Josien P. W. Pluim
Deformable image registration using convolutional neural networks. Medical Imaging: Image Processing (2018)
Veronika Cheplygina, Marleen de Bruijne, Josien P. W. Pluim
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis. CoRR (2018)
Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. CoRR (2018)
Veronika Cheplygina, Josien P. W. Pluim
Crowd disagreement of medical images is informative. CoRR (2018)
Koen A. J. Eppenhof, Josien P. W. Pluim
Supervised local error estimation for nonlinear image registration using convolutional neural networks. Medical Imaging: Image Processing (2017)
Veronika Cheplygina, Pim Moeskops, Mitko Veta, Behdad Dasht Bozorg, Josien P. W. Pluim
Exploring the similarity of medical imaging classification problems. CoRR (2017)
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
Gland segmentation in colon histology images: The glas challenge contest. Medical Image Anal. 35 (2017)
Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
Domain-Adversarial Neural Networks to Address the Appearance Variability of Histopathology Images. DLMIA/ML-CDS@MICCAI (2017)
Nadieh Khalili, Pim Moeskops, Nathalie H. P. Claessens, S. Scherpenzeel, E. Turk, R. de Heus, Manon J. N. L. Benders, Max A. Viergever, Josien P. W. Pluim, Ivana Isgum
Automatic Segmentation of the Intracranial Volume in Fetal MR Images. FIFI/OMIA@MICCAI (2017)
Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
Domain-adversarial neural networks to address the appearance variability of histopathology images. CoRR (2017)
Pim Moeskops, Josien P. W. Pluim
Isointense infant brain MRI segmentation with a dilated convolutional neural network. CoRR (2017)
Veronika Cheplygina, Pim Moeskops, Mitko Veta, Behdad Dashtbozorg, Josien P. W. Pluim
Exploring the Similarity of Medical Imaging Classification Problems. CVII-STENT/LABELS@MICCAI (2017)
Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim
Adversarial training and dilated convolutions for brain MRI segmentation. CoRR (2017)
Nadieh Khalili, Pim Moeskops, Nathalie H. P. Claessens, S. Scherpenzeel, E. Turk, R. de Heus, Manon J. N. L. Benders, Max A. Viergever, Josien P. W. Pluim, Ivana Isgum
Automatic segmentation of the intracranialvolume in fetal MR images. CoRR (2017)
Mariëlle J. A. Jansen, Wouter B. Veldhuis, Maarten S. van Leeuwen, Josien P. W. Pluim
Motion correction of dynamic contrast enhanced MRI of the liver. Medical Imaging: Image Processing (2017)
Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim
Adversarial Training and Dilated Convolutions for Brain MRI Segmentation. DLMIA/ML-CDS@MICCAI (2017)
Max A. Viergever, J. B. Antoine Maintz, Stefan Klein, Keelin Murphy, Marius Staring, Josien P. W. Pluim
A survey of medical image registration - under review. Medical Image Anal. 33 (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
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest. CoRR (2016)
Mitko Veta, Paul J. van Diest, Josien P. W. Pluim
Cutting out the middleman: measuring nuclear area in histopathology slides without segmentation. CoRR (2016)
Josien P. W. Pluim, Sascha E. A. Muenzing, Koen A. J. Eppenhof, Keelin Murphy
The truth is hard to make: Validation of medical image registration. ICPR (2016)
Jiong Zhang, Behdad Dashtbozorg, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Bart M. ter Haar Romeny
Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores. IEEE Trans. Medical Imaging 35 (12) (2016)
Mitko Veta, Paul J. van Diest, Josien P. W. Pluim
Cutting Out the Middleman: Measuring Nuclear Area in Histopathology Slides Without Segmentation. MICCAI (2) (2016)
Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio A. González, Anders Boesen Lindbo Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Ciresan, Jürgen Schmidhuber, Alessandro Giusti, Luca Maria Gambardella, F. Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frédéric Precioso, Violet Snell, Josef Kittler, Teófilo Emídio de Campos, Adnan Mujahid Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim
Assessment of algorithms for mitosis detection in breast cancer histopathology images. Medical Image Anal. 20 (1) (2015)

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Josien P. W. Pluim