J. Pluim

F. N. van de Vosse, J. Pluim, R. Lopata, 2019, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

Automatic segmentation and registration of abdominal aortic aneurysms using 3D ultrasound

F. N. van de Vosse, J. Pluim, R. Lopata, 2016, 2016 IEEE International Ultrasonics Symposium (IUS).

Robust initialization of 2D-3D image registration using the projection-slice theorem and phase correlation.

M. Viergever, J. Pluim, L. Bartels, 2010, Medical physics.

Obstructive pulmonary function: Patient classification using 3D registration of inspiration and expiration CT images

Marleen de Bruijne, K. Murphy, B. Ginneken, 2009 .

Toward automatic regional analysis of pulmonary function using inspiration and expiration thoracic CT.

Marleen de Bruijne, B. van Ginneken, K. Murphy, 2012, Medical physics.

Nonrigid registration with tissue-dependent filtering of the deformation field

M. Staring, S. Klein, J. Pluim, 2007, Physics in medicine and biology.

Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI

J. Pluim, P. Moeskops, A. Mendrik, 2017, NeuroImage: Clinical.

Untangling the diffusion signal using the phasor transform

Michael J van Rijssel, J. Pluim, M. Froeling, 2020, NMR in biomedicine.

Medical Imaging 2007: Image Processing

J. Reinhardt, J. Pluim, 2007 .

Analysis of Cerebral Infarction Pattern in Computed Tomography Images of Patients With Internal Carotid Artery Stenosis

J. Pluim, W. Niessen, P. Nederkoorn, 2004, Investigative radiology.

Arterial Spin Labeling Perfusion MRI at Multiple Delay Times: A Correlative Study with H215O Positron Emission Tomography in Patients with Symptomatic Carotid Artery Occlusion

Josien P W Pluim, Jeroen Hendrikse, Ronald Boellaard, 2010, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

Atlas-Based Mosaicing of Left Atrial 3-D Transesophageal Echocardiography Images.

M. Viergever, J. Pluim, J. Bosch, 2017, Ultrasound in medicine & biology.

Cross-scanner and cross-protocol harmonisation of multi-shell diffusion MRI data: open challenge and evaluation results

Josien P. W. Pluim, Simon K. Warfield, Jelle Veraart, 2019 .

Supervised segmentation methods for the hippocampus in MR images

Josien P. W. Pluim, Koen L. Vincken, Marijn van Stralen, 2011, Medical Imaging.

Improved Segmentation of Multiple Cavities of the Heart in Wide-View 3-D Transesophageal Echocardiograms.

J. Pluim, J. Bosch, A. V. D. van der Steen, 2015, Ultrasound in medicine & biology.

Subject-specific four-dimensional liver motion modeling based on registration of dynamic MRI

Josien P W Pluim, Max A Viergever, Yolanda H Noorda, 2016, Journal of medical imaging.

Coregistration of Preoperative Computed Tomography and Intraoperative Three-Dimensional Rotational X-Ray Images for Cochlear Implant Surgical Evaluation

Paul C. Pearlman, J. Pluim, W. Grolman, 2014, Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology.

Automated Quantitative Measures of Terminal Duct Lobular Unit Involution and Breast Cancer Risk

Allison M. Onken, G. Colditz, M. Veta, 2020, Cancer Epidemiology, Biomarkers & Prevention.

Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors

Mitko Veta, Bram van Ginneken, Laurens Hogeweg, 2020, Medical Image Anal..

Distilling a Pipeline of Retinal Image Analysis Tools Into a Single CNN

M. Veta, J. Pluim, A. Houben, 2018 .

Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III

Nassir Navab, Tianzi Jiang, Josien P. W. Pluim, 2010 .

Liver perfusion in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI): comparison of enhancement in Gd-BT-DO3A and Gd-EOB-DTPA in normal liver parenchyma

J. Pluim, H. Verkooijen, M. A. Bosch, 2014, European Radiology.

Construction and evaluation of an average CT brain image for inter-subject registration

Max A. Viergever, Josien P. W. Pluim, Wiro J. Niessen, 2004, Comput. Biol. Medicine.

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

Allison M. Onken, Michael E. Pyle, M. Veta, 2019, PloS one.

Deep Learning Regression for Prostate Cancer Detection and Grading in Bi-Parametric MRI

Mitko Veta, Coen de Vente, Matin Hosseinzadeh, 2020, IEEE Transactions on Biomedical Engineering.

Simultaneous Detection and Grading of Prostate Cancer in Multi-Parametric MRI

Coen de Vente, M. Veta, J. Pluim, 2019 .

Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection

M. Viergever, J. Pluim, H. Kuijf, 2022, ArXiv.

Editorial

Max A. Viergever, Josien P. W. Pluim, Nassir Navab, 2011, Medical Image Anal..

Correcting time‐intensity curves in dynamic contrast‐enhanced breast MRI for inhomogeneous excitation fields at 7T

Michael J van Rijssel, J. Pluim, K. Gilhuijs, 2019, Magnetic resonance in medicine.

Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks

C. Lorenz, J. Pluim, J. Weese, 2022, Comput. Medical Imaging Graph..

Anatomically informed multi-level fiber tractography for targeted virtual dissection

J. Pluim, A. Leemans, A. de Luca, 2022, Magnetic Resonance Materials in Physics, Biology and Medicine.

Comparison of spatiotemporal interpolators for 4D image reconstruction from 2D transesophageal ultrasound

Josien P. W. Pluim, Nico de Jong, Johan G. Bosch, 2012, Medical Imaging.

Training deep convolutional neural networks for deformable image registration of pulmonary CT images

Josien P. W. Pluim, Koen A. J. Eppenhof, Maxime W. Lafarge, 2018 .

Radial U-Net: Improving DMEK Graft Detachment Segmentation in Radial AS-OCT Scans

Mitko Veta, Josien P. W. Pluim, Friso G. Heslinga, 2021, OMIA@MICCAI.

Late Fusion U-Net with GAN-Based Augmentation for Generalizable Cardiac MRI Segmentation

Marcel Breeuwer, Josien P. W. Pluim, Yasmina Alkhalil, 2021, STACOM@MICCAI.

Pathology Synthesis of 3D Consistent Cardiac MR Images Using 2D VAEs and GANs

C. Lorenz, J. Pluim, M. Breeuwer, 2022, SASHIMI@MICCAI.

Medical imaging 2007 : Image processing : 18-20 February 2007, San Diego, California, USA

Josien P. W. Pluim, Joseph M. Reinhardt, J. Reinhardt, 2007 .

Proceedings of the Third international conference on Biomedical Image Registration

Josien P. W. Pluim, Boštjan Likar, Frans A. Gerritsen, 2006 .

Advanced Ultrasound and Photoacoustic Imaging in Cardiology

Josien P. W. Pluim, N. M. Rad, Richard G. P. Lopata, 2021, Sensors.

Medical imaging 2006 : Image processing 13-16 February, 2006, San Diego, California

Josien P. W. Pluim, Joseph M. Reinhardt, J. Reinhardt, 2006 .

Medical Imaging 2006: Image Processing

Josien P. W. Pluim, Joseph M. Reinhardt, J. Reinhardt, 2006 .

MUTUAL INFORMATION BASED REGISTRATION OF MEDICAL IMAGES

Josien P. W. Pluim, J. Pluim, 2001 .

Imaging to predict checkpoint inhibitor outcomes in cancer. A systematic review.

M. Veta, J. Pluim, P. V. van Diest, 2022, European journal of cancer.

Computer-aided anatomy recognition in intrathoracic and -abdominal surgery: a systematic review

J. Pluim, R. van Hillegersberg, R. B. den Boer, 2022, Surgical Endoscopy.

Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images

M. Veta, J. Pluim, P. V. van Diest, 2022, Scientific Reports.

Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection

M. Viergever, J. Pluim, H. Kuijf, 2022, ArXiv.

A transoesophageal echocardiographic image acquisition protocol for wide-view fusion of three-dimensional datasets to support atrial fibrillation catheter ablation

Josien P. W. Pluim, Tamas Szili-Torok, Johan G. Bosch, 2013, Journal of Interventional Cardiac Electrophysiology.

The Third International Workshop on Biomedical Image Registration - WBIR 2006

Bostjan Likar, Josien P. W. Pluim, J. Pluim, 2008, Medical Image Anal..

PROMISSING: Pruning Missing Values in Neural Networks

N. M. Rad, W. Cahn, J. Pluim, 2022, ArXiv.

Medical imaging 2008 : Image Processing 17-19 February 2008, San Diego, California, USA

Josien P. W. Pluim, Joseph M. Reinhardt, J. Reinhardt, 2008 .

On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images

C. Lorenz, J. Pluim, J. Weese, 2022, Medical Image Anal..

Computer-aided anatomy recognition in intrathoracic and -abdominal surgery: a systematic review

J. Pluim, R. van Hillegersberg, R. B. den Boer, 2022, Surgical Endoscopy.

Navigation of a Telepresence Robot via Covert Visuospatial Attention and Real-Time fMRI

M. Viergever, J. Pluim, N. Ramsey, 2012, Brain Topography.

Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection

M. Viergever, J. Pluim, H. Kuijf, 2022, Machine Learning for Biomedical Imaging.

Bandwidth Improvement in Ultrasound Image Reconstruction Using Deep Learning Techniques

J. Pluim, R. Lopata, Hans-Martin Schwab, 2022, Healthcare.

Approximation of a pipeline of unsupervised retina image analysis methods with a CNN

Mitko Veta, Josien P. W. Pluim, Friso G. Heslinga, 2019, Medical Imaging: Image Processing.

elastix: A Toolbox for Intensity-Based Medical Image Registration

Max A. Viergever, Josien P. W. Pluim, Stefan Klein, 2010, IEEE Transactions on Medical Imaging.

Progressively Trained Convolutional Neural Networks for Deformable Image Registration

Josien P W Pluim, Koen A J Eppenhof, Maxime W. Lafarge, 2019, IEEE Transactions on Medical Imaging.

Label Fusion in Atlas-Based Segmentation Using a Selective and Iterative Method for Performance Level Estimation (SIMPLE)

Max A. Viergever, Josien P. W. Pluim, Robin Langerak, 2010, IEEE Transactions on Medical Imaging.

Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors

Marleen de Bruijne, M. Veta, B. Ginneken, 2020, Medical Image Anal..

Corneal pachymetry by AS-OCT after Descemet’s membrane endothelial keratoplasty

F. G. Heslinga, Friso G. Heslinga, M. Veta, 2021, Scientific Reports.

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

Mitko Veta, Friso G. Heslinga, F. G. Heslinga, 2020, Translational vision science & technology.

Assessment of algorithms for mitosis detection in breast cancer histopathology images

Luca Maria Gambardella, Bogdan J. Matuszewski, Max A. Viergever, 2014, Medical Image Anal..

Gland segmentation in colon histology images: The glas challenge contest

Hao Chen, Bogdan J. Matuszewski, Josien P. W. Pluim, 2016, Medical Image Anal..

Learning Domain-Invariant Representations of Histological Images

Mitko Veta, Josien P. W. Pluim, Koen A. J. Eppenhof, 2019, Front. Med..

f-information measures in medical image registration

Max A. Viergever, Josien P. W. Pluim, J. B. Antoine Maintz, 2001, IEEE Transactions on Medical Imaging.

Prognostic value of automatically extracted nuclear morphometric features in whole slide images of male breast cancer

Mitko Veta, Josien P W Pluim, André Huisman, 2012, Modern Pathology.

Marker-controlled watershed segmentation of nuclei in H&E stained breast cancer biopsy images

Max A. Viergever, Mitko Veta, A. Huisman, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Tracking the Corticospinal Tract in Patients With High-Grade Glioma: Clinical Evaluation of Multi-Level Fiber Tracking and Comparison to Conventional Deterministic Approaches

Bjoern H Menze, J. Pluim, A. Leemans, 2021, Frontiers in Oncology.

Breast Cancer Histopathology Image Analysis: A Review

Max A. Viergever, Mitko Veta, Paul J. van Diest, 2014, IEEE Transactions on Biomedical Engineering.

Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information.

Stefan Klein, Marius Staring, Josien P W Pluim, 2008, Medical physics.

Medical Imaging 2008: Image Processing

Josien P. W. Pluim, Joseph M. Reinhardt, J. Reinhardt, 2008 .

Mutual-information-based registration of medical images: a survey

Max A. Viergever, Josien P. W. Pluim, J. B. Antoine Maintz, 2003, IEEE Transactions on Medical Imaging.

Adaptive Stochastic Gradient Descent Optimisation for Image Registration

Max A. Viergever, Josien P. W. Pluim, Stefan Klein, 2009, International Journal of Computer Vision.

Automated measurement of brain and white matter lesion volume in type 2 diabetes mellitus

M. A. Viergever, L. J. Kappelle, M. Viergever, 2007, Diabetologia.

Evaluation of motion correction for clinical dynamic contrast enhanced MRI of the liver.

J P W Pluim, M J A Jansen, H J Kuijf, 2017, Physics in medicine and biology.

Direct classification of type 2 diabetes from retinal fundus images in a population-based sample from the Maastricht study

Mitko Veta, Friso G. Heslinga, F. G. Heslinga, 2019, Medical Imaging.

Multiscale approach to mutual information matching

Max A. Viergever, Josien P. W. Pluim, J. B. Antoine Maintz, 1998, Medical Imaging.

Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI

Erick Jorge Canales-Rodríguez, S. Haber, J. Thiran, 2021, NeuroImage.

Segmentation and Classification of Melanoma and Nevus in Whole Slide Images

Mitko Veta, Josien P. W. Pluim, Nikolas Stathonikos, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Deep learning-based grading of ductal carcinoma in situ in breast histopathology images

M. Veta, J. Pluim, P. V. van Diest, 2020, Laboratory Investigation.

Reducing distortions in echo‐planar breast imaging at ultrahigh field with high‐resolution off‐resonance maps

Michael J van Rijssel, Frank Zijlstra, Peter R Seevinck, 2019, Magnetic resonance in medicine.

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset

Navid Alemi Koohbanani, M. Veta, Shadi Albarqouni, 2023, ArXiv.

Registration of Cervical MRI Using Multifeature Mutual Information

Max A. Viergever, Josien P. W. Pluim, Stefan Klein, 2009, IEEE Transactions on Medical Imaging.

Registration of 2D x-ray images to 3D MRI by generating pseudo-CT data

M J van der Bom, J P W Pluim, M J Gounis, 2011, Physics in medicine and biology.

Arterial and portal venous liver perfusion using selective spin labelling MRI

J. Pluim, M. A. Bosch, N. Peters, 2015, European Radiology.

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

Pim A. de Jong, Veronika Cheplygina, Linde S. Hesse, 2020, ArXiv.

Predicting breast tumor proliferation from whole‐slide images: The TUPAC16 challenge

Karl Rohr, Matheus Palhares Viana, Mitko Veta, 2018, Medical Image Anal..

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support pdf

Jaime S. Cardoso, Mitko Veta, Josien P. W. Pluim, 2017, Lecture Notes in Computer Science.

The truth is hard to make: Validation of medical image registration

Josien P. W. Pluim, Keelin Murphy, Sascha E. A. Muenzing, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Pulmonary CT Registration Through Supervised Learning With Convolutional Neural Networks

Josien P. W. Pluim, Koen A. J. Eppenhof, J. Pluim, 2019, IEEE Transactions on Medical Imaging.

Registration, segmentation, and visualization of multimodal brain images.

R Stokking, M A Viergever, K L Vincken, 2001, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Preconditioned Stochastic Gradient Descent Optimisation for Monomodal Image Registration

Josien P. W. Pluim, Stefan Klein, Marius Staring, 2011, MICCAI.

Normalized mutual information based registration using k-means clustering and shading correction

Max A. Viergever, Josien P. W. Pluim, J. B. Antoine Maintz, 2006, Medical Image Anal..

A survey of medical image registration - under review

Max A. Viergever, Josien P. W. Pluim, Stefan Klein, 2016, Medical Image Anal..

Error estimation of deformable image registration of pulmonary CT scans using convolutional neural networks

Josien P W Pluim, Koen A J Eppenhof, J. Pluim, 2018, Journal of medical imaging.

Supervised quality assessment of medical image registration: Application to intra-patient CT lung registration

Josien P. W. Pluim, Bram van Ginneken, Keelin Murphy, 2012, Medical Image Anal..

Effect of latent space distribution on the segmentation of images with multiple annotations

M. Viergever, J. Pluim, H. Kuijf, 2023, Machine Learning for Biomedical Imaging.

Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method

Mitko Veta, Josien P. W. Pluim, Shaimaa Al-Janabi, 2016, PloS one.

Automatic Segmentation of Pulmonary Lobes Robust Against Incomplete Fissures

Max A. Viergever, Josien P. W. Pluim, Bram van Ginneken, 2010, IEEE Transactions on Medical Imaging.

Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores

Josien P. W. Pluim, Remco Duits, Erik J. Bekkers, 2016, IEEE Transactions on Medical Imaging.

Car license plate recognition with neural networks and fuzzy logic

Lambert Spaanenburg, Jos Nijhuis, M. ter Brugge, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

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

Remco Duits, Erik J. Bekkers, Josien P.W. Pluim, 2020, Medical Image Anal..

Roto-Translation Covariant Convolutional Networks for Medical Image Analysis pdf

Mitko Veta, Josien P. W. Pluim, Remco Duits, 2018, MICCAI.

clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation pdf

Josien P. W. Pluim, Bjoern H. Menze, Bjoern H Menze, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Generalized Probabilistic U-Net for medical image segementation

J. Pluim, H. Kuijf, Ishaan Bhat, 2022, UNSURE@MICCAI.

Detection of acini in histopathology slides: towards automated prediction of breast cancer risk

Mitko Veta, Josien P. W. Pluim, Yujing J. Heng, 2019, Medical Imaging.

Image registration

Josien P. W. Pluim, J. Pluim, M. Petrou, 2003, IEEE Transactions on Medical Imaging.

Patient-specific fine-tuning of convolutional neural networks for follow-up lesion quantification

Josien P W Pluim, Mariëlle J A Jansen, Hugo J Kuijf, 2020, Journal of medical imaging.

Image registration by maximization of combined mutual information and gradient information

Max A. Viergever, Josien P. W. Pluim, J. B. Antoine Maintz, 2000, IEEE Transactions on Medical Imaging.

Estimating B 1 + in the breast at 7 T using a generic template

Michael J van Rijssel, J. Pluim, K. Gilhuijs, 2018, NMR in biomedicine.

Evaluation of optimization methods for intensity-based 2D-3D registration in x-ray guided interventions

Josien P. W. Pluim, Stefan Klein, Marius Staring, 2011, Medical Imaging.

Evaluation of 4D-CT Lung Registration

Cristian Lorenz, Sven Kabus, Josien P. W. Pluim, 2009, MICCAI.

Mono- and multimodal registration of optical breast images.

Josien P W Pluim, Max A Viergever, Paul C. Pearlman, 2012, Journal of biomedical optics.

Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus

Max A. Viergever, Josien P. W. Pluim, Stefan Klein, 2010, Medical Image Anal..

Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines

Josien P. W. Pluim, Stefan Klein, Marius Staring, 2007, IEEE Transactions on Image Processing.

Normalized Mutual Information Based PET-MR Registration Using K-Means Clustering and Shading Correction

Max A. Viergever, Josien P. W. Pluim, J. B. Antoine Maintz, 2003, WBIR.

Semi-automatic construction of reference standards for evaluation of image registration

Max A. Viergever, Josien P. W. Pluim, Stefan Klein, 2011, Medical Image Anal..

Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology pdf

Josien P.W. Pluim, Maxime W. Lafarge, Mitko Veta, 2020, ArXiv.

CT radiomics compared to a clinical model for predicting checkpoint inhibitor treatment outcomes in patients with advanced melanoma.

M. Veta, J. Pluim, P. V. van Diest, 2023, European journal of cancer.

Patient-specific fine-tuning of CNNs for follow-up lesion quantification

Hugo J. Kuijf, Robin Strand, Josien P.W. Pluim, 2019, 1910.12753.

Semi-automatic Reference Standard Construction for Quantitative Evaluation of Lung CT Registration

Josien P. W. Pluim, Stefan Klein, Bram van Ginneken, 2008, MICCAI.

Convolutional Neural Network-Based Regression for Quantification of Brain Characteristics Using MRI

Josien P. W. Pluim, Victor Alves, João Fernandes, 2019, WorldCIST.

Subject-specific liver motion modeling in MRI: a feasibility study on spatiotemporal prediction

Josien P W Pluim, Max A Viergever, Yolanda H Noorda, 2017, Physics in medicine and biology.

Free-form image registration regularized by a statistical shape model: application to organ segmentation in cervical MR

Josien P. W. Pluim, Floris F. Berendsen, Uulke A. van der Heide, 2013, Comput. Vis. Image Underst..

Registration of structurally dissimilar images in MRI-based brachytherapy

M. Viergever, J. Pluim, F. Berendsen, 2014, Physics in medicine and biology.

Quantitative Comparison of Sinc-Approximating Kernels for Medical Image Interpolation

Max A. Viergever, Josien P. W. Pluim, Wiro J. Niessen, 1999, MICCAI.

Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy

J. Pluim, R. van Hillegersberg, F. van der Sommen, 2023, Surgical Endoscopy.

Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images

Josien P. W. Pluim, Olivier Salvado, Jurgen Fripp, 2012, IEEE Transactions on Medical Imaging.

Liver segmentation and metastases detection in MR images using convolutional neural networks

Max A. Viergever, Hugo J. Kuijf, Wouter B. Veldhuis, 2019, Journal of medical imaging.

Convolutional Neural Networks for Segmentation of the Left Atrium from Gadolinium-Enhancement MRI Images

Kawal S. Rhode, Mitko Veta, Josien P. W. Pluim, 2018, STACOM@MICCAI.

Real-Time Decoding of Brain Responses to Visuospatial Attention Using 7T fMRI

Max A. Viergever, Josien P. W. Pluim, Stefan Klein, 2011, PloS one.

A Framework for Simulating Cardiac MR Images With Varying Anatomy and Contrast

C. Lorenz, J. Pluim, M. Breeuwer, 2022, IEEE Transactions on Medical Imaging.

SEGMENTATION OF THE PROSTATE IN MR IMAGES BY ATLAS MATCHING

Josien P. W. Pluim, Stefan Klein, Marius Staring, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Detecting mitotic figures in breast cancer histopathology images

Mitko Veta, Paul J. van Diest, Josien P. W. Pluim, 2013, Medical Imaging.

clDice - a Topology-Preserving Loss Function for Tubular Structure Segmentation

Bjoern H Menze, J. Pluim, A. Sekuboyina, 2020, ArXiv.

Projection-slice theorem based 2D-3D registration

Josien P. W. Pluim, J. Timmer, Lambertus W. Bartels, 2007, SPIE Medical Imaging.

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

Gang Li, Dinggang Shen, Guoyan Zheng, 2019, IEEE Transactions on Medical Imaging.

Deformable image registration using convolutional neural networks

Mitko Veta, Josien P. W. Pluim, Pim Moeskops, 2018, Medical Imaging.

Multiatlas-based segmentation with preregistration atlas selection.

Josien P W Pluim, Floris F Berendsen, Thomas R Langerak, 2013, Medical physics.

Segmentation of 3D Transesophageal Echocardiograms by Multi-cavity Active Shape Model and Gamma Mixture Model

Josien P. W. Pluim, Stefan Klein, Theo van Walsum, 2013, AE-CAI.

Biomedical Image Registration, Third International Workshop, WBIR 2006, Utrecht, The Netherlands, July 9-11, 2006, Proceedings

Josien P. W. Pluim, Boštjan Likar, Frans A. Gerritsen, 2006, WBIR.

Reducing segmentation failures in cardiac MRI via late feature fusion and GAN-based augmentation

C. Lorenz, J. Pluim, M. Breeuwer, 2023, Comput. Biol. Medicine.

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

Josien P. W. Pluim, Veronika Cheplygina, Ralf Raumanns, 2021, Machine Learning for Biomedical Imaging.

Deep learning based correction of RF field induced inhomogeneities for T2w prostate imaging at 7 T

J. Pluim, R. Meijer, A. Raaijmakers, 2023, NMR in biomedicine.

XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms

Marcel Breeuwer, Cristian Lorenz, Josien P. W. Pluim, 2020, MICCAI.

4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model pdf

Marcel Breeuwer, Cristian Lorenz, Samaneh Abbasi-Sureshjani, 2020, MIDL.

Pathology Synthesis of 3D Consistent Cardiac MR Images Using 2D VAEs and GANs

C. Lorenz, J. Pluim, M. Breeuwer, 2022, SASHIMI@MICCAI.

sim2real: Cardiac MR Image Simulation-to-Real Translation via Unsupervised GANs

C. Lorenz, J. Pluim, J. Weese, 2022, ISMRM Annual Meeting.

Fast Multiatlas Selection Using Composition of Transformations for Radiation Therapy Planning

Josien P. W. Pluim, Jurgen Fripp, Jason Dowling, 2014, MCV.

Expert-driven label fusion in multi-atlas-based segmentation of the prostate using weighted atlases

Josien P. W. Pluim, Floris F. Berendsen, Uulke A. van der Heide, 2013, International Journal of Computer Assisted Radiology and Surgery.

Label fusion in multi-atlas based segmentation with user-defined local weights

Josien P. W. Pluim, Robin Langerak, Floris F. Berendsen, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Evaluating and improving label fusion in atlas-based segmentation using the surface distance

Josien P. W. Pluim, Floris F. Berendsen, Uulke A. van der Heide, 2011, Medical Imaging.

Local atlas selection and performance estimation in multi-atlas based segmentation

Josien P. W. Pluim, Robin Langerak, Floris F. Berendsen, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Improving label fusion in multi-atlas based segmentation by locally combining atlas selection and performance estimation

Josien P. W. Pluim, Floris F. Berendsen, Uulke A. van der Heide, 2015, Comput. Vis. Image Underst..

Crowd Disagreement About Medical Images Is Informative

Josien P. W. Pluim, Veronika Cheplygina, J. Pluim, 2018, CVII-STENT/LABELS@MICCAI.

7T fMRI reveals feasibility of covert visual attention-based brain–computer interfacing with signals obtained solely from cortical grey matter accessible by subdural surface electrodes

M. Viergever, J. Pluim, N. Ramsey, 2013, Clinical Neurophysiology.

Adaptive Stochastic Gradient Descent Optimisation for Image Registration

M. Viergever, M. Staring, S. Klein, 2009, International Journal of Computer Vision.

Selection Strategies for Atlas-Based Mosaicing of Left Atrial 3-D Transesophageal Echocardiography Data.

Johan G Bosch, Josien P W Pluim, Max A Viergever, 2018, Ultrasound in medicine & biology.

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

Josien P. W. Pluim, Hugo J. Kuijf, Mariëlle J. A. Jansen, 2019, Medical Imaging: Image Processing.

Adversarial Attack Vulnerability of Medical Image Analysis Systems

Marleen de Bruijne, M. Veta, B. Ginneken, 2020 .

Cutting Out the Middleman: Measuring Nuclear Area in Histopathology Slides Without Segmentation

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

Interpolation Artefacts in Mutual Information-Based Image Registration

Max A. Viergever, Josien P. W. Pluim, J. B. Antoine Maintz, 2000, Comput. Vis. Image Underst..

Muti-shell Diffusion MRI Harmonisation and Enhancement Challenge (MUSHAC): Progress and Results

Josien P. W. Pluim, Simon K. Warfield, Jelle Veraart, 2019, Computational Diffusion MRI.

Fast contour propagation for MR‐guided prostate radiotherapy using convolutional neural networks

C A T van den Berg, J P W Pluim, B W Raaymakers, 2019, Medical physics.

DIRBoost-An algorithm for boosting deformable image registration: Application to lung CT intra-subject registration

Max A. Viergever, Josien P. W. Pluim, Bram van Ginneken, 2014, Medical Image Anal..

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

Ismail Ben Ayed, Vladimir S Fonov, J. Pluim, 2019, IEEE Transactions on Medical Imaging.

Automatic Segmentation of the Pulmonary Lobes from Fissures, Airways, and Lung Borders: Evaluation of Robustness against Missing Data

Max A. Viergever, Josien P. W. Pluim, Bram van Ginneken, 2009, MICCAI.

Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images: A feasibility study

Josien P. W. Pluim, Hugo J. Kuijf, Mariëlle J. A. Jansen, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Image Subtraction Facilitates Assessment of Volume and Density Change in Ground-Glass Opacities in Chest CT

B. van Ginneken, M. Staring, S. Klein, 2009, Investigative Radiology.

Registration of organs with sliding interfaces and changing topologies

Max A. Viergever, Josien P. W. Pluim, Floris F. Berendsen, 2014, Medical Imaging.

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

Dante De Nigris, Sascha E. A. Muenzing, Marleen de Bruijne, 2011, IEEE Transactions on Medical Imaging.

Deep-learning-based joint rigid and deformable contour propagation for magnetic resonance imaging-guided prostate radiotherapy.

J. Pluim, M. Maspero, J. R. N. van der Voort van Zyp, 2024, Medical physics.

Adversarial Training and Dilated Convolutions for Brain MRI Segmentation

Mitko Veta, Josien P. W. Pluim, Pim Moeskops, 2017, DLMIA/ML-CDS@MICCAI.

Assessment of algorithms for mitosis detection in breast cancer histopathology images

Jacob S. Vestergaard, J. Schmidhuber, A. Giusti, 2014, Medical Image Anal..

Pulmonary CT Registration Through Supervised Learning With Convolutional Neural Networks

J. Pluim, K. Eppenhof, 2019, IEEE Transactions on Medical Imaging.

Mutual information matching in multiresolution contexts

Max A. Viergever, Josien P. W. Pluim, J. B. Antoine Maintz, 2001, Image Vis. Comput..

Atlas-based mosaicing of 3D transesophageal echocardiography images of the left atrium

Max A. Viergever, Josien P. W. Pluim, Johan G. Bosch, 2015, 2015 IEEE International Ultrasonics Symposium (IUS).

Multiframe registration of real-time three-dimensional echocardiography time series

Johan G Bosch, Josien P W Pluim, Marijn van Stralen, 2014, Journal of medical imaging.