Car license plate recognition with neural networks and fuzzy logic. - J. A. G. Nijhuis; M. ter Brugge; K. A. Helmholt; Josien P. W. Pluim; Lambert Spaanenburg; Rienk S. Venema; Michel A. Westenberg (ICNN, 1995)

Multiscale approach to mutual information matching. - Josien P. W. Pluim; J. B. Antoine Maintz; Max A. Viergever (Image Processing, 1998)

Quantitative Comparison of Sinc-Approximating Kernels for Medical Image Interpolation. - Erik H. W. Meijering; Wiro J. Niessen; Josien P. W. Pluim; Max A. Viergever (MICCAI, 1999)

Mutual information matching and interpolation artifacts. - Josien P. W. Pluim; J. B. Antoine Maintz; Max A. Viergever (Image Processing, 1999)

Image Registration by Maximization of Combined Mututal Information and Gradient Information. - Josien P. W. Pluim; J. B. Antoine Maintz; Max A. Viergever (MICCAI, 2000)

Interpolation Artefacts in Mutual Information-Based Image Registration. - Josien P. W. Pluim; J. B. Antoine Maintz; Max A. Viergever (Comput. Vis. Image Underst., 2000)

Image Registration by Maximization of Combined Mutual Information and Gradient Information. - Josien P. W. Pluim; J. B. Antoine Maintz; Max A. Viergever (IEEE Trans. Medical Imaging, 2000)

Two-Step Registration of Subacute to Hyperacute Stroke MRIs. - Petronella Anbeek; Koen L. Vincken; Matthias J. P. van Osch; Josien P. W. Pluim; Jeroen van der Grond; Max A. Viergever (MICCAI, 2001)

Mutual information matching in multiresolution contexts. - Josien P. W. Pluim; J. B. Antoine Maintz; Max A. Viergever (Image Vis. Comput., 2001)

Three-dimensional appearance for hippocampus segmentation from MRI. - Jan Klemencic; Josien P. W. Pluim; Max A. Viergever; Hugo G. Schnack; Vojko Valencic (Image Processing, 2003)

Normalized mutual information-based registration using K-means clustering-based histogram binning. - Zeger F. Knops; J. B. Antoine Maintz; Max A. Viergever; Josien P. W. Pluim (Image Processing, 2003)

Normalized Mutual Information Based PET-MR Registration Using K-Means Clustering and Shading Correction. - Zeger F. Knops; J. B. Antoine Maintz; Max A. Viergever; Josien P. W. Pluim (WBIR, 2003)

Image Registration. - Josien P. W. Pluim; J. Michael Fitzpatrick (IEEE Trans. Medical Imaging, 2003)

Mutual Information Based Registration of Medical Images: A Survey. - Josien P. W. Pluim; J. B. Antoine Maintz; Max A. Viergever (IEEE Trans. Medical Imaging, 2003)

Ventricle Registration for Inter-subject White Matter Lesion Analysis. - Cynthia Jongen; Jeroen van der Grond; Josien P. W. Pluim (MICCAI (1), 2004)

Registration Using Segment Intensity Remapping and Mutual Information. - Zeger F. Knops; J. B. Antoine Maintz; Max A. Viergever; Josien P. W. Pluim (MICCAI (1), 2004)

Construction and evaluation of an average CT brain image for inter-subject registration. - Cynthia Jongen; Josien P. W. Pluim; Paul H. J. Nederkoorn; Max A. Viergever; Wiro J. Niessen (Comput. Biol. Medicine, 2004)

f-information measures in medical image registration. - Josien P. W. Pluim; J. B. Antoine Maintz; Max A. Viergever (IEEE Trans. Medical Imaging, 2004)

Comparison of gradient approximation techniques for optimisation of mutual information in nonrigid registration. - Stefan Klein 001; Marius Staring; Josien P. W. Pluim (Image Processing, 2005)

Nonrigid registration with adaptive content-based filtering of the deformation field. - Marius Staring; Stefan Klein 001; Josien P. W. Pluim (Image Processing, 2005)

Nonrigid registration using a rigidity constraint. - Marius Staring; Stefan Klein 001; Josien P. W. Pluim (Image Processing, 2006)

A Comparison of Acceleration Techniques for Nonrigid Medical Image Registration. - Stefan Klein 001; Marius Staring; Josien P. W. Pluim (WBIR, 2006)

Normalized mutual information based registration using k-means clustering and shading correction. - Zeger F. Knops; J. B. Antoine Maintz; Max A. Viergever; Josien P. W. Pluim (Medical Image Anal., 2006)

Segmentation of the Prostate in MR Images by Atlas Matching. - Stefan Klein 001; Uulke A. van der Heide; Bas W. Raaymakers; Alexis N. T. J. Kotte; Marius Staring; Josien P. W. Pluim (ISBI, 2007)

Projection-slice theorem based 2D-3D registration. - I. M. J. van der Bom; Josien P. W. Pluim; R. Homan; J. Timmer; Lambertus W. Bartels (Image Processing, 2007)

Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines. - Stefan Klein 001; Marius Staring; Josien P. W. Pluim (IEEE Trans. Image Process., 2007)

Enforcing stochastic inverse consistency in non-rigid image registration and matching. - Sai Kit Yeung; Chi-Keung Tang; Pengcheng Shi; Josien P. W. Pluim; Max A. Viergever; Albert C. S. Chung; Helen C. Shen (CVPR, 2008)

Semi-automatic Reference Standard Construction for Quantitative Evaluation of Lung CT Registration. - Keelin Murphy; Bram van Ginneken; Josien P. W. Pluim; Stefan Klein 001; Marius Staring (MICCAI (2), 2008)

The Third International Workshop on Biomedical Image Registration - WBIR 2006. - Bostjan Likar; Josien P. W. Pluim (Medical Image Anal., 2008)

Label Fusion Using Performance Estimation with Iterative Label Selection. - Robin Langerak; Uulke A. van der Heide; Irene Lips; Alexis N. T. J. Kotte; Marco van Vulpen; Josien P. W. Pluim (ISBI, 2009)

Optimal Discrete Multi-Resolution Deformable Image Registration. - Marijn van Stralen; Josien P. W. Pluim (ISBI, 2009)

Evaluation of 4D-CT Lung Registration. - Sven Kabus; Tobias Klinder; Keelin Murphy; Bram van Ginneken; Cristian Lorenz; Josien P. W. Pluim (MICCAI (1), 2009)

Automatic Segmentation of the Pulmonary Lobes from Fissures, Airways, and Lung Borders: Evaluation of Robustness against Missing Data. - Eva M. van Rikxoort; Mathias Prokop; Bartjan de Hoop; Max A. Viergever; Josien P. W. Pluim; Bram van Ginneken (MICCAI (1), 2009)

Automatic detection of registration errors for quality assessment in medical image registration. - Sascha E. A. Muenzing; Keelin Murphy; Bram van Ginneken; Josien P. W. Pluim (Image Processing, 2009)

Adaptive Stochastic Gradient Descent Optimisation for Image Registration. - Stefan Klein 001; Josien P. W. Pluim; Marius Staring; Max A. Viergever (Int. J. Comput. Vis., 2009)

Registration of Cervical MRI Using Multifeature Mutual Information. - Marius Staring; Uulke A. van der Heide; Stefan Klein 001; Max A. Viergever; Josien P. W. Pluim (IEEE Trans. Medical Imaging, 2009)

Automatic estimation of registration parameters: image similarity and regularization. - Thomas R. Langerak; Uulke A. van der Heide; Alexis N. T. J. Kotte; Josien P. W. Pluim (Image Processing, 2010)

Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus. - Eva M. van Rikxoort; Ivana Isgum; Yulia Arzhaeva; Marius Staring; Stefan Klein 001; Max A. Viergever; Josien P. W. Pluim; Bram van Ginneken (Medical Image Anal., 2010)

elastix: A Toolbox for Intensity-Based Medical Image Registration. - Stefan Klein 001; Marius Staring; Keelin Murphy; Max A. Viergever; Josien P. W. Pluim (IEEE Trans. Medical Imaging, 2010)

Label Fusion in Atlas-Based Segmentation Using a Selective and Iterative Method for Performance Level Estimation (SIMPLE). - Robin Langerak; Uulke A. van der Heide; Alexis N. T. J. Kotte; Max A. Viergever; Marco van Vulpen; Josien P. W. Pluim (IEEE Trans. Medical Imaging, 2010)

Automatic Segmentation of Pulmonary Lobes Robust Against Incomplete Fissures. - Eva M. van Rikxoort; Mathias Prokop; Bartjan de Hoop; Max A. Viergever; Josien P. W. Pluim; Bram van Ginneken (IEEE Trans. Medical Imaging, 2010)

Automatic Segmentation of the Prostate in 3D Magnetic Resonance Images Using Case Specific Deformable Models. - Shekhar Chandra; Jason Dowling; Kai-Kai Shen; Josien P. W. Pluim; Peter B. Greer; Olivier Salvado; Jurgen Fripp (DICTA, 2011)

Local atlas selection and performance estimation in multi-atlas based segmentation. - Robin Langerak; Uulke A. van der Heide; Alexis N. T. J. Kotte; Floris F. Berendsen; Josien P. W. Pluim (ISBI, 2011)

Label fusion in multi-atlas based segmentation with user-defined local weights. - Robin Langerak; Uulke A. van der Heide; Alexis N. T. J. Kotte; Floris F. Berendsen; Josien P. W. Pluim (ISBI, 2011)

Marker-controlled watershed segmentation of nuclei in H&E stained breast cancer biopsy images. - Mitko Veta; A. Huisman; Max A. Viergever; Paul J. van Diest; Josien P. W. Pluim (ISBI, 2011)

Segmentation of Cervical Images by Inter-subject Registration with a Statistical Organ Model. - Floris F. Berendsen; Uulke A. van der Heide; Thomas R. Langerak; Alexis N. T. J. Kotte; Josien P. W. Pluim (Abdominal Imaging, 2011)

Fast Automatic Multi-atlas Segmentation of the Prostate from 3D MR Images. - Jason Dowling; Jurgen Fripp; Shekhar Chandra; Josien P. W. Pluim; Jonathan Lambert 001; Joel Parker; James Denham; Peter B. Greer; Olivier Salvado (Prostate Cancer Imaging, 2011)

Preconditioned Stochastic Gradient Descent Optimisation for Monomodal Image Registration. - Stefan Klein 001; Marius Staring; Patrik Andersson; Josien P. W. Pluim (MICCAI (2), 2011)

Intra-temporal facial nerve centerline segmentation for navigated temporal bone surgery. - Eduard H. J. Voormolen; Marijn van Stralen; Peter A. Woerdeman; Josien P. W. Pluim; Herke Jan Noordmans; Luca Regli; Jan Willem Berkelbach van der Sprenkel; Max A. Viergever (Image-Guided Procedures, 2011)

Evaluation of optimization methods for intensity-based 2D-3D registration in x-ray guided interventions. - I. M. J. van der Bom; Stefan Klein 001; Marius Staring; R. Homan; Lambertus W. Bartels; Josien P. W. Pluim (Image Processing, 2011)

Evaluating and improving label fusion in atlas-based segmentation using the surface distance. - Thomas R. Langerak; Uulke A. van der Heide; Alexis N. T. J. Kotte; Floris F. Berendsen; Josien P. W. Pluim (Image Processing, 2011)

Registration of multi-view apical 3D echocardiography images. - Harriët H. Mulder; Marijn van Stralen; Heleen B. van der Zwaan; K. Y. Esther Leung; Johan G. Bosch; Josien P. W. Pluim (Image Processing, 2011)

Supervised segmentation methods for the hippocampus in MR images. - Marijn van Stralen; Mirjam I. Geerlings; Koen L. Vincken; Josien P. W. Pluim (Image Processing, 2011)

Registration of multi-view 3D echocardiography images. - Harriët Wilhelmina Mulder; Marijn van Stralen; Heleen B. van der Zwaan; K. Y. Esther Leung; Johan G. Bosch; Josien P. W. Pluim (MIUA, 2011)

Semi-automatic construction of reference standards for evaluation of image registration. - Keelin Murphy; Bram van Ginneken; Stefan Klein 001; Marius Staring; Bartjan de Hoop; Max A. Viergever; Josien P. W. Pluim (Medical Image Anal., 2011)

Editorial. - Max A. Viergever; Tianzi Jiang; Nassir Navab; Josien P. W. Pluim (Medical Image Anal., 2011)

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. - Keelin Murphy; Bram van Ginneken; Joseph M. Reinhardt; Sven Kabus; Kai Ding 003; Xiang Deng; Kunlin Cao; Kaifang Du; Gary E. Christensen; Vincent Garcia; Tom Vercauteren; Nicholas Ayache; et al. (IEEE Trans. Medical Imaging, 2011)

DIRBoost: An algorithm for boosting deformable image registration. - Sascha E. A. Muenzing; Bram van Ginneken; Josien P. W. Pluim (ISBI, 2012)

Segmentation of the Cartilage in the Rib Cage in 3D MRI. - Yolanda H. Noorda; Lambertus W. Bartels; Josien P. W. Pluim (Abdominal Imaging, 2012)

Elastic Demons: Characterizing Cortical Development in Neonates Using an Implicit Surface Registration. - Paul C. Pearlman; Ivana Isgum; Karina J. Kersbergen; Manon J. N. L. Benders; Max A. Viergever; Josien P. W. Pluim (STIA, 2012)

On Combining Algorithms for Deformable Image Registration. - Sascha E. A. Muenzing; Bram van Ginneken; Josien P. W. Pluim (WBIR, 2012)

Supervised quality assessment of medical image registration: Application to intra-patient CT lung registration. - Sascha E. A. Muenzing; Bram van Ginneken; Keelin Murphy; Josien P. W. Pluim (Medical Image Anal., 2012)

Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images. - Shekhar S. Chandra; Jason Dowling; Kai-Kai Shen; Parnesh Raniga; Josien P. W. Pluim; Peter B. Greer; Olivier Salvado; Jurgen Fripp (IEEE Trans. Medical Imaging, 2012)

Simultaneous pairwise registration for image mosaicing of TEE data. - Harriët Wilhelmina Mulder; Marijn van Stralen; Claire Ren; Floris F. Berendsen; Johan G. Bosch; Josien P. W. Pluim (ISBI, 2013)

Implicit surface registration with surface-oriented anisotropic deformation field smoothing. - Paul C. Pearlman; Ivana Isgum; Karina J. Kersbergen; Manon J. N. L. Benders; Max A. Viergever; Josien P. W. Pluim (ISBI, 2013)

Free-Form Registration Involving Disappearing Structures: Application to Brachytherapy MRI. - Floris F. Berendsen; Alexis N. T. J. Kotte; Astrid A. C. de Leeuw; Max A. Viergever; Josien P. W. Pluim (Abdominal Imaging, 2013)

Segmentation of 3D Transesophageal Echocardiograms by Multi-cavity Active Shape Model and Gamma Mixture Model. - Alexander Haak; Gonzalo Vegas-Sánchez-Ferrero; Harriët H. Mulder; Hortense A. Kirisli; Nora Baka; Coert Metz; Stefan Klein 001; Ben Ren; Gerard van Burken; Anton F. W. van der Steen; Josien P. W. Pluim; Theo van Walsum; et al. (AE-CAI, 2013)

Rib Detection in 3D MRI Using Dynamic Programming Based on Vesselness and Ridgeness. - Yolanda H. Noorda; Lambertus W. Bartels; Max A. Viergever; Josien P. W. Pluim (Abdominal Imaging, 2013)

Detecting mitotic figures in breast cancer histopathology images. - Mitko Veta; Paul J. van Diest; Josien P. W. Pluim (Digital Pathology, 2013)

A patient specific 4D MRI liver motion model based on sparse imaging and registration. - Yolanda H. Noorda; Lambertus W. Bartels; Marijn van Stralen; Josien P. W. Pluim (Image-Guided Procedures, 2013)

Expert-driven label fusion in multi-atlas-based segmentation of the prostate using weighted atlases. - Thomas R. Langerak; Uulke A. van der Heide; Alexis N. T. J. Kotte; Floris F. Berendsen; Marco van Vulpen; Josien P. W. Pluim (Int. J. Comput. Assist. Radiol. Surg., 2013)

Free-form image registration regularized by a statistical shape model: application to organ segmentation in cervical MR. - Floris F. Berendsen; Uulke A. van der Heide; Thomas R. Langerak; Alexis N. T. J. Kotte; Josien P. W. Pluim (Comput. Vis. Image Underst., 2013)

Image Registration. - Josien P. W. Pluim (Bildverarbeitung für die Medizin, 2014)

Fast Multiatlas Selection Using Composition of Transformations for Radiation Therapy Planning. - David Rivest-Hénault; Soumya Ghose; Josien P. W. Pluim; Peter B. Greer; Jurgen Fripp; Jason A. Dowling (MCV, 2014)

Registration of organs with sliding interfaces and changing topologies. - Floris F. Berendsen; Alexis N. T. J. Kotte; Max A. Viergever; Josien P. W. Pluim (Image Processing, 2014)

DIRBoost-An algorithm for boosting deformable image registration: Application to lung CT intra-subject registration. - Sascha E. A. Muenzing; Bram van Ginneken; Max A. Viergever; Josien P. W. Pluim (Medical Image Anal., 2014)

Breast Cancer Histopathology Image Analysis: A Review. - Mitko Veta; Josien P. W. Pluim; Paul J. van Diest; Max A. Viergever (IEEE Trans. Biomed. Eng., 2014)

Corrections to "Breast Cancer Histopathology Image Analysis: A Review". - Mitko Veta; Josien P. W. Pluim; Paul J. van Diest; Max A. Viergever (IEEE Trans. Biomed. Eng., 2014)

Improving label fusion in multi-atlas based segmentation by locally combining atlas selection and performance estimation. - Thomas R. Langerak; Uulke A. van der Heide; Alexis N. T. J. Kotte; Floris F. Berendsen; Josien P. W. Pluim (Comput. Vis. Image Underst., 2015)

Assessment of algorithms for mitosis detection in breast cancer histopathology images. - Mitko Veta; Paul J. van Diest; Stefan M. Willems; Haibo Wang; Anant Madabhushi; Angel Cruz-Roa; Fabio A. González 001; Anders Boesen Lindbo Larsen; Jacob S. Vestergaard; Anders B. Dahl; Dan C. Ciresan; Jürgen Schmidhuber; et al. (Medical Image Anal., 2015)

The truth is hard to make: Validation of medical image registration. - Josien P. W. Pluim; Sascha E. A. Muenzing; Koen A. J. Eppenhof; Keelin Murphy (ICPR, 2016)

Cutting Out the Middleman: Measuring Nuclear Area in Histopathology Slides Without Segmentation. - Mitko Veta; Paul J. van Diest; Josien P. W. Pluim (MICCAI (2), 2016)

A survey of medical image registration - under review. - Max A. Viergever; J. B. Antoine Maintz; Stefan Klein 001; Keelin Murphy; Marius Staring; Josien P. W. Pluim (Medical Image Anal., 2016)

Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores. - Jiong Zhang; Behdad Dashtbozorg; Erik J. Bekkers; Josien P. W. Pluim; Remco Duits; Bart M. ter Haar Romeny (IEEE Trans. Medical Imaging, 2016)

Exploring the Similarity of Medical Imaging Classification Problems. - Veronika Cheplygina; Pim Moeskops; Mitko Veta; Behdad Dashtbozorg; Josien P. W. Pluim (CVII-STENT/LABELS@MICCAI, 2017)

Automatic Segmentation of the Intracranial Volume in Fetal MR Images. - Nadieh Khalili; Pim Moeskops; Nathalie H. P. Claessens; S. Scherpenzeel; Elise Turk; R. de Heus; Manon J. N. L. Benders; Max A. Viergever; Josien P. W. Pluim; Ivana Isgum (FIFI/OMIA@MICCAI, 2017)

Domain-Adversarial Neural Networks to Address the Appearance Variability of Histopathology Images. - Maxime W. Lafarge; Josien P. W. Pluim; Koen A. J. Eppenhof; Pim Moeskops; Mitko Veta (DLMIA/ML-CDS@MICCAI, 2017)

Adversarial Training and Dilated Convolutions for Brain MRI Segmentation. - Pim Moeskops; Mitko Veta; Maxime W. Lafarge; Koen A. J. Eppenhof; Josien P. W. Pluim (DLMIA/ML-CDS@MICCAI, 2017)

Supervised local error estimation for nonlinear image registration using convolutional neural networks. - Koen A. J. Eppenhof; Josien P. W. Pluim (Image Processing, 2017)

Motion correction of dynamic contrast enhanced MRI of the liver. - Mariëlle J. A. Jansen; Wouter B. Veldhuis; Maarten S. van Leeuwen; Josien P. W. Pluim (Image Processing, 2017)

Automatic segmentation of the intracranialvolume in fetal MR images. - Nadieh Khalili; Pim Moeskops; Nathalie H. P. Claessens; S. Scherpenzeel; Elise Turk; R. de Heus; Manon J. N. L. Benders; Max A. Viergever; Josien P. W. Pluim; Ivana Isgum (CoRR, 2017)

Isointense infant brain MRI segmentation with a dilated convolutional neural network. - Pim Moeskops; Josien P. W. Pluim (CoRR, 2017)

Gland segmentation in colon histology images: The glas challenge contest. - Korsuk Sirinukunwattana; Josien P. W. Pluim; Hao Chen 011; Xiaojuan Qi 001; Pheng-Ann Heng; Yun Bo Guo; Li Yang Wang; Bogdan J. Matuszewski; Elia Bruni; Urko Sanchez; Anton Böhm; Olaf Ronneberger; et al. (Medical Image Anal., 2017)

Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images: A feasibility study. - Mariëlle J. A. Jansen; Hugo J. Kuijf; Josien P. W. Pluim (ISBI, 2018)

Inferring a third spatial dimension from 2D histological images. - Maxime W. Lafarge; Josien P. W. Pluim; Koen A. J. Eppenhof; Pim Moeskops; Mitko Veta (ISBI, 2018)

Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. - Erik J. Bekkers; Maxime W. Lafarge; Mitko Veta; Koen A. J. Eppenhof; Josien P. W. Pluim; Remco Duits (MICCAI (1), 2018)

Crowd Disagreement About Medical Images Is Informative. - Veronika Cheplygina; Josien P. W. Pluim (CVII-STENT/LABELS@MICCAI, 2018)

Convolutional Neural Networks for Segmentation of the Left Atrium from Gadolinium-Enhancement MRI Images. - Coen de Vente; Mitko Veta; Orod Razeghi; Steven A. Niederer; Josien P. W. Pluim; Kawal S. Rhode; Rashed Karim (STACOM@MICCAI, 2018)

Deformable image registration using convolutional neural networks. - Koen A. J. Eppenhof; Maxime W. Lafarge; Pim Moeskops; Mitko Veta; Josien P. W. Pluim (Image Processing, 2018)

Crowd disagreement of medical images is informative. - Veronika Cheplygina; Josien P. W. Pluim (CoRR, 2018)

Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. - 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; et al. (CoRR, 2018)

Reconnection of Interrupted Curvilinear Structures via Cortically Inspired Completion for Ophthalmologic Images. - Jiong Zhang; Erik J. Bekkers; Da Chen 002; Tos T. J. M. Berendschot; Jan Schouten; Josien P. W. Pluim; Yonggang Shi; Behdad Dashtbozorg; Bart M. ter Haar Romeny (IEEE Trans. Biomed. Eng., 2018)

Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning. - Maxime W. Lafarge; Juan C. Caicedo; Anne E. Carpenter; Josien P. W. Pluim; Shantanu Singh; Mitko Veta (MIDL, 2019)

Detection of acini in histopathology slides: towards automated prediction of breast cancer risk. - Suzanne C. Wetstein; Allison M. Onken; Gabrielle M. Baker; Michael E. Pyle; Josien P. W. Pluim; Rulla M. Tamimi; Yujing J. Heng; Mitko Veta (Digital Pathology, 2019)

Progressively growing convolutional networks for end-to-end deformable image registration. - Koen A. J. Eppenhof; Maxime W. Lafarge; Josien P. W. Pluim (Image Processing, 2019)

Approximation of a pipeline of unsupervised retina image analysis methods with a CNN. - 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 (Image Processing, 2019)

Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation. - Mariëlle J. A. Jansen; Hugo J. Kuijf; Josien P. W. Pluim (Image Processing, 2019)

Convolutional Neural Network-Based Regression for Quantification of Brain Characteristics Using MRI. - João Fernandes 004; Victor Alves; Nadieh Khalili; Manon J. N. L. Benders; Ivana Isgum; Josien P. W. Pluim; Pim Moeskops (WorldCIST (2), 2019)

Liver segmentation and metastases detection in MR images using convolutional neural networks. - Mariëlle J. A. Jansen; Hugo J. Kuijf; Maarten Niekel; Wouter B. Veldhuis; Frank J. Wessels; Max A. Viergever; Josien P. W. Pluim (CoRR, 2019)

Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk. - 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; et al. (CoRR, 2019)

Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis. - Veronika Cheplygina; Marleen de Bruijne; Josien P. W. Pluim (Medical Image Anal., 2019)

Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. - 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; et al. (Medical Image Anal., 2019)

Pulmonary CT Registration Through Supervised Learning With Convolutional Neural Networks. - Koen A. J. Eppenhof; Josien P. W. Pluim (IEEE Trans. Medical Imaging, 2019)

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. - Li Wang 026; Dong Nie; Guannan Li; Élodie Puybareau; Jose Dolz; Qian Zhang 066; Fan Wang 023; Jing Xia; Zhengwang Wu; Jiawei Chen 001; Kim-Han Thung; Toan Duc Bui; et al. (IEEE Trans. Medical Imaging, 2019)

Segmentation and Classification of Melanoma and Nevus in Whole Slide Images. - 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 (ISBI, 2020)

Direct classification of type 2 diabetes from retinal fundus images in a population-based sample from the Maastricht study. - 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 (Computer-Aided Diagnosis, 2020)

XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms. - Sina Amirrajab; Samaneh Abbasi-Sureshjani; Yasmina Al Khalil; Cristian Lorenz; Jürgen Weese; Josien P. W. Pluim; Marcel Breeuwer (MICCAI (4), 2020)

4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model. - Samaneh Abbasi-Sureshjani; Sina Amirrajab; Cristian Lorenz; Jürgen Weese; Josien P. W. Pluim; Marcel Breeuwer (MIDL, 2020)

clDice - a Topology-Preserving Loss Function for Tubular Structure Segmentation. - Suprosanna Shit; Johannes C. Paetzold; Anjany Sekuboyina; Andrey Zhylka; Ivan Ezhov; Alexander Unger; Josien P. W. Pluim; Giles Tetteh; Bjoern H. Menze (CoRR, 2020)

Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks. - Friso G. Heslinga; Mark Alberti; Josien P. W. Pluim; Javier Cabrerizo; Mitko Veta (CoRR, 2020)

Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning. - Linde S. Hesse; Pim A. de Jong; Josien P. W. Pluim; Veronika Cheplygina (CoRR, 2020)

Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology. - Maxime W. Lafarge; Josien P. W. Pluim; Mitko Veta (CoRR, 2020)

Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images. - 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 (CoRR, 2020)

Progressively Trained Convolutional Neural Networks for Deformable Image Registration. - Koen A. J. Eppenhof; Maxime W. Lafarge; Mitko Veta; Josien P. W. Pluim (IEEE Trans. Medical Imaging, 2020)

clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation. - Suprosanna Shit; Johannes C. Paetzold; Anjany Sekuboyina; Ivan Ezhov; Alexander Unger; Andrey Zhylka; Josien P. W. Pluim; Ulrich Bauer; Bjoern H. Menze (CVPR, 2021)

Hybrid Deep Neural Network for Brachial Plexus Nerve Segmentation in Ultrasound Images. - Juul P. A. van Boxtel; Vincent R. J. Vousten; Josien P. W. Pluim; Nastaran Mohammadian Rad (EUSIPCO, 2021)

Using Uncertainty Estimation To Reduce False Positives In Liver Lesion Detection. - Ishaan Bhat; Hugo J. Kuijf; Veronika Cheplygina; Josien P. W. Pluim (ISBI, 2021)

Radial U-Net: Improving DMEK Graft Detachment Segmentation in Radial AS-OCT Scans. - Bram M. van der Velden; Mitko Veta; Josien P. W. Pluim; Mark Alberti; Friso G. Heslinga (OMIA@MICCAI, 2021)

Late Fusion U-Net with GAN-Based Augmentation for Generalizable Cardiac MRI Segmentation. - Yasmina Al Khalil; Sina Amirrajab; Josien P. W. Pluim; Marcel Breeuwer (STACOM@MICCAI, 2021)

Corneal Pachymetry by AS-OCT after Descemet's Membrane Endothelial Keratoplasty. - 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 (CoRR, 2021)

ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification. - Ralf Raumanns; Gerard Schouten; Max Joosten; Josien P. W. Pluim; Veronika Cheplygina (CoRR, 2021)

Adversarial attack vulnerability of medical image analysis systems: Unexplored factors. - 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 (Medical Image Anal., 2021)

Roto-translation equivariant convolutional networks: Application to histopathology image analysis. - Maxime W. Lafarge; Erik J. Bekkers; Josien P. W. Pluim; Remco Duits; Mitko Veta (Medical Image Anal., 2021)

Advanced Ultrasound and Photoacoustic Imaging in Cardiology. - Min Wu; Navchetan Awasthi; Nastaran Mohammadian Rad; Josien P. W. Pluim; Richard G. P. Lopata (Sensors, 2021)

Deep Learning Regression for Prostate Cancer Detection and Grading in Bi-Parametric MRI. - Coen de Vente; Pieter Vos; Matin Hosseinzadeh; Josien P. W. Pluim; Mitko Veta (IEEE Trans. Biomed. Eng., 2021)

Pathology Synthesis of 3D Consistent Cardiac MR Images Using 2D VAEs and GANs. - Sina Amirrajab; Cristian Lorenz; Jürgen Weese; Josien P. W. Pluim; Marcel Breeuwer (SASHIMI@MICCAI, 2022)

Generalized Probabilistic U-Net for Medical Image Segementation. - Ishaan Bhat; Josien P. W. Pluim; Hugo J. Kuijf (UNSURE@MICCAI, 2022)

An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories. - Clément Chadebec; Evi M. C. Huijben; Josien P. W. Pluim; Stéphanie Allassonnière; Maureen A. J. M. van Eijnatten (DGM4MICCAI@MICCAI, 2022)

A Stratified Cascaded Approach for Brain Tumor Segmentation with the Aid of Multi-modal Synthetic Data. - Yasmina Al Khalil; Aymen Ayaz; Cristian Lorenz; Jürgen Weese; Josien P. W. Pluim; Marcel Breeuwer (DALI@MICCAI, 2022)

Cardiac MR Image Segmentation and Quality Control in the Presence of Respiratory Motion Artifacts Using Simulated Data. - Sina Amirrajab; Yasmina Al Khalil; Josien P. W. Pluim; Marcel Breeuwer; Cian M. Scannell (STACOM@MICCAI, 2022)

Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks. - Sina Amirrajab; Yasmina Al Khalil; Cristian Lorenz; Jürgen Weese; Josien P. W. Pluim; Marcel Breeuwer (Comput. Medical Imaging Graph., 2022)

PROMISSING: Pruning Missing Values in Neural Networks. - Seyed Mostafa Kia; Nastaran Mohammadian Rad; Daniel van Opstal; Bart van Schie; Andre F. Marquand; Josien P. W. Pluim; Wiepke Cahn; Hugo G. Schnack (CoRR, 2022)

Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection. - Ishaan Bhat; Josien P. W. Pluim; Max A. Viergever; Hugo J. Kuijf (CoRR, 2022)

sim2real: Cardiac MR Image Simulation-to-Real Translation via Unsupervised GANs. - Sina Amirrajab; Yasmina Al Khalil; Cristian Lorenz; Jürgen Weese; Josien P. W. Pluim; Marcel Breeuwer (CoRR, 2022)

Pathology Synthesis of 3D Consistent Cardiac MR Im-ages Using 2D VAEs and GANs. - Sina Amirrajab; Cristian Lorenz; Jürgen Weese; Josien P. W. Pluim; Marcel Breeuwer (CoRR, 2022)

Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. - Chiara Maffei; Gabriel Girard; Kurt G. Schilling; Dogu Baran Aydogan; Nagesh Adluru; Andrey Zhylka; Ye Wu 001; Matteo Mancini; Andac Hamamci; Alessia Sarica; Achille Teillac; Steven H. Baete; et al. (NeuroImage, 2022)

The Importance of Realistic Training Deformations for Respiratory CT Registration. - 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 (ISBI, 2023)

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. - 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; et al. (CoRR, 2023)

Effect of latent space distribution on the segmentation of images with multiple annotations. - Ishaan Bhat; Josien P. W. Pluim; Max A. Viergever; Hugo J. Kuijf (CoRR, 2023)

Histogram- and Diffusion-Based Medical Out-of-Distribution Detection. - Evi M. C. Huijben; Sina Amirrajab; Josien P. W. Pluim (CoRR, 2023)

On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images. - Yasmina Al Khalil; Sina Amirrajab; Cristian Lorenz; Jürgen Weese; Josien P. W. Pluim; Marcel Breeuwer (Medical Image Anal., 2023)

A Framework for Simulating Cardiac MR Images With Varying Anatomy and Contrast. - Sina Amirrajab; Yasmina Al Khalil; Cristian Lorenz; Jürgen Weese; Josien P. W. Pluim; Marcel Breeuwer (IEEE Trans. Medical Imaging, 2023)

Reducing segmentation failures in cardiac MRI via late feature fusion and GAN-based augmentation. - Yasmina Al Khalil; Sina Amirrajab; Cristian Lorenz; Jürgen Weese; Josien P. W. Pluim; Marcel Breeuwer (Comput. Biol. Medicine, 2023)

Multi-head Attention-based Deep Multiple Instance Learning. - Hassan Keshvarikhojasteh; Josien P. W. Pluim; Mitko Veta (COMPAY@MICCAI, 2024)

WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images. - Hong Liu; Haosen Yang 003; Paul J. van Diest; Josien P. W. Pluim; Mitko Veta (COMPAY@MICCAI, 2024)

Self-Supervised Pretraining for Cardiovascular Magnetic Resonance Cine Segmentation. - Rob A. J. de Mooij; Josien P. W. Pluim; Cian M. Scannell (DEMI@MICCAI, 2024)

Dataset Distribution Impacts Model Fairness: Single Vs. Multi-task Learning. - Ralf Raumanns; Gerard Schouten; Josien P. W. Pluim; Veronika Cheplygina (FAIMI/EPIMI@MICCAI, 2024)

Assessing the Robustness of Image Registration Models Under Domain Shifts with Learnable Input Images. - Iris Kolenbrander; Vidya Prasad; Leanne Zikken; Maureen A. J. M. van Eijnatten; Matteo Maspero; Josien P. W. Pluim (WBIR, 2024)

Effective deep-learning brain MRI super resolution using simulated training data. - Aymen Ayaz; Rien Boonstoppel; Cristian Lorenz; Jürgen Weese; Josien P. W. Pluim; Marcel Breeuwer (Comput. Biol. Medicine, 2024)

Multi-modal brain tumor segmentation via conditional synthesis with Fourier domain adaptation. - Yasmina Al Khalil; Aymen Ayaz; Cristian Lorenz; Jürgen Weese; Josien P. W. Pluim; Marcel Breeuwer (Comput. Medical Imaging Graph., 2024)

Brain MR image simulation for deep learning based medical image analysis networks. - Aymen Ayaz; Yasmina Al Khalil; Sina Amirrajab; Cristian Lorenz; Jürgen Weese; Josien P. W. Pluim; Marcel Breeuwer (Comput. Methods Programs Biomed., 2024)

Multiple Instance Learning with random sampling for Whole Slide Image Classification. - Hassan Keshvarikhojasteh; Josien P. W. Pluim; Mitko Veta (CoRR, 2024)

Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges. - Mahmoud Ibrahim; Yasmina Al Khalil; Sina Amirrajab; Chang Sun 001; Marcel Breeuwer; Josien P. W. Pluim; Bart Elen; Gökhan Ertaylan; Michel Dumontier (CoRR, 2024)

Enhancing Reconstruction-Based Out-of-Distribution Detection in Brain MRI with Model and Metric Ensembles. - Evi M. C. Huijben; Sina Amirrajab; Josien P. W. Pluim (CoRR, 2024)

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. - 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; et al. (IEEE J. Biomed. Health Informatics, 2024)

Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges. - Mahmoud K. Ibrahim; Yasmina Al Khalil; Sina Amirrajab; Chang Sun 001; Marcel Breeuwer; Josien P. W. Pluim; Bart Elen; Gökhan Ertaylan; Michel Dumontier (Comput. Biol. Medicine, 2025)

Scaling up self-supervised learning for improved surgical foundation models. - Tim J. M. Jaspers; Ronald L. P. D. de Jong; Yiping Li; Carolus H. J. Kusters; Franciscus H. A. Bakker; Romy C. van Jaarsveld; Gino M. Kuiper; Richard van Hillegersberg; Jelle P. Ruurda; Willem M. Brinkman; Josien P. W. Pluim; Peter H. N. de With; et al. (CoRR, 2025)

PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting. - Hong Liu; Haosen Yang 003; Evi M. C. Huijben; Mark Schuiveling; Ruisheng Su; Josien P. W. Pluim; Mitko Veta (CoRR, 2025)

Adaptive Prototype Learning for Multimodal Cancer Survival Analysis. - Hong Liu; Haosen Yang 003; Federica Eduati; Josien P. W. Pluim; Mitko Veta (CoRR, 2025)

A Spatially-Aware Multiple Instance Learning Framework for Digital Pathology. - Hassan Keshvarikhojasteh; Mihail Tifrea; Sibylle Hess; Josien P. W. Pluim; Mitko Veta (CoRR, 2025)

DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractography. - Marcus J. Vroemen; Yuqian Chen; Yui Lo; Tengfei Xue; Tom Weidong Cai; Fan Zhang 013; Josien P. W. Pluim; Lauren J. O'Donnell (CoRR, 2025)

perfDSA: Automatic Perfusion Imaging in Cerebral Digital Subtraction Angiography. - Ruisheng Su; P. Matthijs van der Sluijs; Flavius-Gabriel Marc; Frank te Nijenhuis; Sandra A. P. Cornelissen; Bob Roozenbeek; Wim H. van Zwam; Aad van der Lugt; Danny Ruijters; Josien P. W. Pluim; Theo van Walsum (Int. J. Comput. Assist. Radiol. Surg., 2025)