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2020 – today
- 2024
[j49]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: 102332 (2024)- [j48]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: 108115 (2024) - [j47]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): 1161-1172 (2024) - [c91]Ralf Raumanns, Gerard Schouten, Josien P. W. Pluim, Veronika Cheplygina:
Dataset Distribution Impacts Model Fairness: Single Vs. Multi-task Learning. FAIMI/EPIMI@MICCAI 2024: 14-23 - [c90]Rob A. J. de Mooij, Josien P. W. Pluim, Cian M. Scannell:
Self-Supervised Pretraining for Cardiovascular Magnetic Resonance Cine Segmentation. DEMI@MICCAI 2024: 115-124 - [c89]Iris Kolenbrander, Vidya Prasad, Leanne Zikken, Maureen A. J. M. van Eijnatten, Matteo Maspero, Josien P. W. Pluim:
Assessing the Robustness of Image Registration Models Under Domain Shifts with Learnable Input Images. WBIR 2024: 101-111 - [i45]Hassan Keshvarikhojasteh, Josien P. W. Pluim, Mitko Veta:
Multiple Instance Learning with random sampling for Whole Slide Image Classification. CoRR abs/2403.05351 (2024) - [i44]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 abs/2403.09257 (2024) - [i43]Hassan Keshvarikhojasteh, Josien P. W. Pluim, Mitko Veta:
Multi-head Attention-based Deep Multiple Instance Learning. CoRR abs/2404.05362 (2024) - [i42]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 abs/2407.00116 (2024) - [i41]Ralf Raumanns, Gerard Schouten, Josien P. W. Pluim, Veronika Cheplygina:
Dataset Distribution Impacts Model Fairness: Single vs. Multi-Task Learning. CoRR abs/2407.17543 (2024) - [i40]Rob A. J. de Mooij, Josien P. W. Pluim, Cian M. Scannell:
Self-supervised Pretraining for Cardiovascular Magnetic Resonance Cine Segmentation. CoRR abs/2409.18100 (2024) - 2023
- [j46]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: 106973 (2023) - [j45]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: 102688 (2023) - [j44]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): 726-738 (2023) - [c88]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: 1-5 - [i39]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 abs/2301.06304 (2023) - [i38]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 abs/2304.13476 (2023) - [i37]Evi M. C. Huijben, Sina Amirrajab, Josien P. W. Pluim:
Histogram- and Diffusion-Based Medical Out-of-Distribution Detection. CoRR abs/2310.08654 (2023) - 2022
- [j43]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: 102123 (2022) - [j42]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: 119327 (2022) - [c87]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: 34-42 - [c86]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: 55-64 - [c85]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: 92-101 - [c84]Ishaan Bhat, Josien P. W. Pluim, Hugo J. Kuijf:
Generalized Probabilistic U-Net for Medical Image Segementation. UNSURE@MICCAI 2022: 113-124 - [c83]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: 466-475 - [i36]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 abs/2206.01640 (2022) - [i35]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 abs/2206.10911 (2022) - [i34]Ishaan Bhat, Josien P. W. Pluim, Hugo J. Kuijf:
Generalized Probabilistic U-Net for medical image segementation. CoRR abs/2207.12872 (2022) - [i33]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 abs/2208.04874 (2022) - [i32]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 abs/2209.04223 (2022) - 2021
- [j41]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: 101849 (2021) - [j40]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: 102141 (2021) - [j39]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): 7947 (2021) - [j38]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): 374-383 (2021) - [c82]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: 16560-16569 - [c81]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: 1246-1250 - [c80]Ishaan Bhat, Hugo J. Kuijf, Veronika Cheplygina, Josien P. W. Pluim:
Using Uncertainty Estimation To Reduce False Positives In Liver Lesion Detection. ISBI 2021: 663-667 - [c79]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: 72-81 - [c78]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: 360-373 - [i31]Ishaan Bhat, Hugo J. Kuijf, Veronika Cheplygina, Josien P. W. Pluim:
Using uncertainty estimation to reduce false positives in liver lesion detection. CoRR abs/2101.04386 (2021) - [i30]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 abs/2102.07846 (2021) - [i29]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 abs/2106.00373 (2021) - [i28]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 abs/2107.12734 (2021) - 2020
- [j37]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): 1594-1604 (2020) - [c77]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: 263-266 - [c76]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. Computer-Aided Diagnosis 2020 - [c75]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: 128-137 - [c74]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: 6-18 - [i27]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 abs/2002.07089 (2020) - [i26]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 abs/2002.08725 (2020) - [i25]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 abs/2003.07311 (2020) - [i24]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 abs/2004.12807 (2020) - [i23]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 abs/2006.06356 (2020) - [i22]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 abs/2006.16633 (2020) - [i21]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 abs/2007.13408 (2020) - [i20]Maxime W. Lafarge, Josien P. W. Pluim, Mitko Veta:
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology. CoRR abs/2008.11673 (2020) - [i19]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 abs/2010.03244 (2020)
2010 – 2019
- 2019
- [j36]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: 111-121 (2019) - [j35]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: 280-296 (2019) - [j34]Koen A. J. Eppenhof, Josien P. W. Pluim:
Pulmonary CT Registration Through Supervised Learning With Convolutional Neural Networks. IEEE Trans. Medical Imaging 38(5): 1097-1105 (2019) - [j33]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): 2219-2230 (2019) - [c73]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: 315-325 - [c72]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. Digital Pathology 2019: 109560Q - [c71]Koen A. J. Eppenhof, Maxime W. Lafarge, Josien P. W. Pluim:
Progressively growing convolutional networks for end-to-end deformable image registration. Image Processing 2019: 109491C - [c70]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. Image Processing 2019: 109491N - [c69]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. Image Processing 2019: 109491V - [c68]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: 577-586 - [i18]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 abs/1908.08251 (2019) - [i17]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 abs/1908.08254 (2019) - [i16]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 abs/1910.06635 (2019) - [i15]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 abs/1911.00036 (2019) - [i14]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 abs/1911.10022 (2019) - 2018
- [j32]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): 1151-1165 (2018) - [c67]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: 245-248 - [c66]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: 586-589 - [c65]Veronika Cheplygina, Josien P. W. Pluim:
Crowd Disagreement About Medical Images Is Informative. CVII-STENT/LABELS@MICCAI 2018: 105-111 - [c64]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: 348-356 - [c63]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: 440-448 - [c62]Koen A. J. Eppenhof, Maxime W. Lafarge, Pim Moeskops, Mitko Veta, Josien P. W. Pluim:
Deformable image registration using convolutional neural networks. Image Processing 2018: 105740S - [i13]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 abs/1801.03431 (2018) - [i12]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 abs/1804.03393 (2018) - [i11]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 abs/1804.06353 (2018) - [i10]Veronika Cheplygina, Josien P. W. Pluim:
Crowd disagreement of medical images is informative. CoRR abs/1806.08174 (2018) - [i9]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 abs/1807.08284 (2018) - 2017
- [j31]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: 489-502 (2017) - [c61]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:
Automatic Segmentation of the Intracranial Volume in Fetal MR Images. FIFI/OMIA@MICCAI 2017: 42-51 - [c60]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: 56-64 - [c59]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: 59-66 - [c58]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: 83-91 - [c57]Koen A. J. Eppenhof, Josien P. W. Pluim:
Supervised local error estimation for nonlinear image registration using convolutional neural networks. Image Processing 2017: 101331U - [c56]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. Image Processing 2017: 101331T - [i8]Veronika Cheplygina, Pim Moeskops, Mitko Veta, Behdad Dasht Bozorg, Josien P. W. Pluim:
Exploring the similarity of medical imaging classification problems. CoRR abs/1706.03509 (2017) - [i7]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 abs/1707.03195 (2017) - [i6]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 abs/1707.06183 (2017) - [i5]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:
Automatic segmentation of the intracranialvolume in fetal MR images. CoRR abs/1708.02282 (2017) - [i4]Pim Moeskops, Josien P. W. Pluim:
Isointense infant brain MRI segmentation with a dilated convolutional neural network. CoRR abs/1708.02757 (2017) - 2016
- [j30]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: 140-144 (2016) - [j29]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): 2631-2644 (2016) - [c55]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: 2294-2300 - [c54]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: 632-639 - [i3]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 abs/1603.00275 (2016) - [i2]Mitko Veta, Paul J. van Diest, Josien P. W. Pluim:
Cutting out the middleman: measuring nuclear area in histopathology slides without segmentation. CoRR abs/1606.06127 (2016) - 2015
- [j28]Thomas R. Langerak, Uulke A. van der Heide, Alexis N. T. J. Kotte, Floris F. Berendsen, Josien P. W. Pluim:
Improving label fusion in multi-atlas based segmentation by locally combining atlas selection and performance estimation. Comput. Vis. Image Underst. 130: 71-79 (2015) - [j27]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, Faik 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): 237-248 (2015) - 2014
- [j26]Sascha E. A. Muenzing, Bram van Ginneken, Max A. Viergever, Josien P. W. Pluim:
DIRBoost-An algorithm for boosting deformable image registration: Application to lung CT intra-subject registration. Medical Image Anal. 18(3): 449-459 (2014) - [j25]Mitko Veta, Josien P. W. Pluim, Paul J. van Diest, Max A. Viergever:
Breast Cancer Histopathology Image Analysis: A Review. IEEE Trans. Biomed. Eng. 61(5): 1400-1411 (2014) - [j24]Mitko Veta, Josien P. W. Pluim, Paul J. van Diest, Max A. Viergever:
Corrections to "Breast Cancer Histopathology Image Analysis: A Review". IEEE Trans. Biomed. Eng. 61(11): 2819 (2014) - [c53]Josien P. W. Pluim:
Image Registration. Bildverarbeitung für die Medizin 2014: 1 - [c52]David Rivest-Hénault, Soumya Ghose, Josien P. W. Pluim, Peter B. Greer, Jurgen Fripp, Jason A. Dowling:
Fast Multiatlas Selection Using Composition of Transformations for Radiation Therapy Planning. MCV 2014: 105-115 - [c51]Floris F. Berendsen, Alexis N. T. J. Kotte, Max A. Viergever, Josien P. W. Pluim:
Registration of organs with sliding interfaces and changing topologies. Image Processing 2014: 90340E - [i1]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, Faik 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. CoRR abs/1411.5825 (2014) - 2013
- [j23]Thomas R. Langerak, Uulke A. van der Heide, Alexis N. T. J. Kotte, Floris F. Berendsen, Marco van Vulpen, Josien P. W. Pluim:
Expert-driven label fusion in multi-atlas-based segmentation of the prostate using weighted atlases. Int. J. Comput. Assist. Radiol. Surg. 8(6): 929-936 (2013) - [j22]Floris F. Berendsen, Uulke A. van der Heide, Thomas R. Langerak, Alexis N. T. J. Kotte, Josien P. W. Pluim:
Free-form image registration regularized by a statistical shape model: application to organ segmentation in cervical MR. Comput. Vis. Image Underst. 117(9): 1119-1127 (2013) - [c50]Harriët Wilhelmina Mulder, Marijn van Stralen, Claire Ren, Floris F. Berendsen, Johan G. Bosch, Josien P. W. Pluim:
Simultaneous pairwise registration for image mosaicing of TEE data. ISBI 2013: 242-245 - [c49]Paul C. Pearlman, Ivana Isgum, Karina J. Kersbergen, Manon J. N. L. Benders, Max A. Viergever, Josien P. W. Pluim:
Implicit surface registration with surface-oriented anisotropic deformation field smoothing. ISBI 2013: 480-483 - [c48]Alexander Haak, Gonzalo Vegas-Sánchez-Ferrero, Harriët H. Mulder, Hortense A. Kirisli, Nora Baka, Coert Metz, Stefan Klein, Ben Ren, Gerard van Burken, Anton F. W. van der Steen, Josien P. W. Pluim, Theo van Walsum, Johan G. Bosch:
Segmentation of 3D Transesophageal Echocardiograms by Multi-cavity Active Shape Model and Gamma Mixture Model. AE-CAI 2013: 19-26 - [c47]Floris F. Berendsen, Alexis N. T. J. Kotte, Astrid A. C. de Leeuw, Max A. Viergever, Josien P. W. Pluim:
Free-Form Registration Involving Disappearing Structures: Application to Brachytherapy MRI. Abdominal Imaging 2013: 136-144 - [c46]Yolanda H. Noorda, Lambertus W. Bartels, Max A. Viergever, Josien P. W. Pluim:
Rib Detection in 3D MRI Using Dynamic Programming Based on Vesselness and Ridgeness. Abdominal Imaging 2013: 212-220 - [c45]Mitko Veta, Paul J. van Diest, Josien P. W. Pluim:
Detecting mitotic figures in breast cancer histopathology images. Digital Pathology 2013: 867607 - [c44]Yolanda H. Noorda, Lambertus W. Bartels, Marijn van Stralen, Josien P. W. Pluim:
A patient specific 4D MRI liver motion model based on sparse imaging and registration. Image-Guided Procedures 2013: 86710S - 2012
- [j21]Sascha E. A. Muenzing, Bram van Ginneken, Keelin Murphy, Josien P. W. Pluim:
Supervised quality assessment of medical image registration: Application to intra-patient CT lung registration. Medical Image Anal. 16(8): 1521-1531 (2012) - [j20]Shekhar S. Chandra, Jason Dowling, Kai-Kai Shen, Parnesh Raniga, Josien P. W. Pluim, Peter B. Greer, Olivier Salvado, Jurgen Fripp:
Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images. IEEE Trans. Medical Imaging 31(10): 1955-1964 (2012) - [c43]Sascha E. A. Muenzing, Bram van Ginneken, Josien P. W. Pluim:
DIRBoost: An algorithm for boosting deformable image registration. ISBI 2012: 1339-1342 - [c42]Paul C. Pearlman, Ivana Isgum, Karina J. Kersbergen, Manon J. N. L. Benders, Max A. Viergever, Josien P. W. Pluim:
Elastic Demons: Characterizing Cortical Development in Neonates Using an Implicit Surface Registration. STIA 2012: 38-49 - [c41]Yolanda H. Noorda, Lambertus W. Bartels, Josien P. W. Pluim:
Segmentation of the Cartilage in the Rib Cage in 3D MRI. Abdominal Imaging 2012: 229-237 - [c40]Sascha E. A. Muenzing, Bram van Ginneken, Josien P. W. Pluim:
On Combining Algorithms for Deformable Image Registration. WBIR 2012: 256-265 - 2011
- [j19]Keelin Murphy, Bram van Ginneken, Stefan Klein, Marius Staring, Bartjan de Hoop, Max A. Viergever, Josien P. W. Pluim:
Semi-automatic construction of reference standards for evaluation of image registration. Medical Image Anal. 15(1): 71-84 (2011) - [j18]Max A. Viergever, Tianzi Jiang, Nassir Navab, Josien P. W. Pluim:
Editorial. Medical Image Anal. 15(5): 669 (2011) - [j17]Keelin Murphy, Bram van Ginneken, Joseph M. Reinhardt, Sven Kabus, Kai Ding, Xiang Deng, Kunlin Cao, Kaifang Du, Gary E. Christensen, Vincent Garcia, Tom Vercauteren, Nicholas Ayache, Olivier Commowick, Grégoire Malandain, Ben Glocker, Nikos Paragios, Nassir Navab, Vladlena Gorbunova, Jon Sporring, Marleen de Bruijne, Xiao Han, Mattias P. Heinrich, Julia A. Schnabel, Mark Jenkinson, Cristian Lorenz, Marc Modat, Jamie McClelland, Sébastien Ourselin, Sascha E. A. Muenzing, Max A. Viergever, Dante De Nigris, D. Louis Collins, Tal Arbel, Marta Peroni, Rui Li, Gregory C. Sharp, Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, Dirk Smeets, Dirk Loeckx, Gang Song, Nicholas J. Tustison, Brian B. Avants, James C. Gee, Marius Staring, Stefan Klein, Berend C. Stoel, Martin Urschler, Manuel Werlberger, Jef Vandemeulebroucke, Simon Rit, David Sarrut, Josien P. W. Pluim:
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. IEEE Trans. Medical Imaging 30(11): 1901-1920 (2011) - [c39]Shekhar Chandra, Jason Dowling, Kai-Kai Shen, Josien P. W. Pluim, Peter B. Greer, Olivier Salvado, Jurgen Fripp:
Automatic Segmentation of the Prostate in 3D Magnetic Resonance Images Using Case Specific Deformable Models. DICTA 2011: 7-12 - [c38]Mitko Veta, A. Huisman, Max A. Viergever, Paul J. van Diest, Josien P. W. Pluim:
Marker-controlled watershed segmentation of nuclei in H&E stained breast cancer biopsy images. ISBI 2011: 618-621 - [c37]Robin Langerak, Uulke A. van der Heide, Alexis N. T. J. Kotte, Floris F. Berendsen, Josien P. W. Pluim:
Local atlas selection and performance estimation in multi-atlas based segmentation. ISBI 2011: 669-672 - [c36]Robin Langerak, Uulke A. van der Heide, Alexis N. T. J. Kotte, Floris F. Berendsen, Josien P. W. Pluim:
Label fusion in multi-atlas based segmentation with user-defined local weights. ISBI 2011: 1480-1483 - [c35]Jason Dowling, Jurgen Fripp, Shekhar Chandra, Josien P. W. Pluim, Jonathan Lambert, Joel Parker, James Denham, Peter B. Greer, Olivier Salvado:
Fast Automatic Multi-atlas Segmentation of the Prostate from 3D MR Images. Prostate Cancer Imaging 2011: 10-21 - [c34]Floris F. Berendsen, Uulke A. van der Heide, Thomas R. Langerak, Alexis N. T. J. Kotte, Josien P. W. Pluim:
Segmentation of Cervical Images by Inter-subject Registration with a Statistical Organ Model. Abdominal Imaging 2011: 240-247 - [c33]Stefan Klein, Marius Staring, Patrik Andersson, Josien P. W. Pluim:
Preconditioned Stochastic Gradient Descent Optimisation for Monomodal Image Registration. MICCAI (2) 2011: 549-556 - [c32]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:
Intra-temporal facial nerve centerline segmentation for navigated temporal bone surgery. Image-Guided Procedures 2011: 79641C - [c31]Harriët H. Mulder, Marijn van Stralen, Heleen B. van der Zwaan, K. Y. Esther Leung, Johan G. Bosch, Josien P. W. Pluim:
Registration of multi-view apical 3D echocardiography images. Image Processing 2011: 79621W - [c30]Marijn van Stralen, Mirjam I. Geerlings, Koen L. Vincken, Josien P. W. Pluim:
Supervised segmentation methods for the hippocampus in MR images. Image Processing 2011: 79622U - [c29]I. M. J. van der Bom, Stefan Klein, Marius Staring, R. Homan, Lambertus W. Bartels, Josien P. W. Pluim:
Evaluation of optimization methods for intensity-based 2D-3D registration in x-ray guided interventions. Image Processing 2011: 796223 - [c28]Thomas R. Langerak, Uulke A. van der Heide, Alexis N. T. J. Kotte, Floris F. Berendsen, Josien P. W. Pluim:
Evaluating and improving label fusion in atlas-based segmentation using the surface distance. Image Processing 2011: 796226 - [c27]Harriët Wilhelmina Mulder, Marijn van Stralen, Heleen B. van der Zwaan, K. Y. Esther Leung, Johan G. Bosch, Josien P. W. Pluim:
Registration of multi-view 3D echocardiography images. MIUA 2011: 159-164 - 2010
- [j16]Eva M. van Rikxoort, Ivana Isgum, Yulia Arzhaeva, Marius Staring, Stefan Klein, Max A. Viergever, Josien P. W. Pluim, Bram van Ginneken:
Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus. Medical Image Anal. 14(1): 39-49 (2010) - [j15]Stefan Klein, Marius Staring, Keelin Murphy, Max A. Viergever, Josien P. W. Pluim:
elastix: A Toolbox for Intensity-Based Medical Image Registration. IEEE Trans. Medical Imaging 29(1): 196-205 (2010) - [j14]Eva M. van Rikxoort, Mathias Prokop, Bartjan de Hoop, Max A. Viergever, Josien P. W. Pluim, Bram van Ginneken:
Automatic Segmentation of Pulmonary Lobes Robust Against Incomplete Fissures. IEEE Trans. Medical Imaging 29(6): 1286-1296 (2010) - [j13]Robin Langerak, Uulke A. van der Heide, Alexis N. T. J. Kotte, Max A. Viergever, Marco van Vulpen, Josien P. W. Pluim:
Label Fusion in Atlas-Based Segmentation Using a Selective and Iterative Method for Performance Level Estimation (SIMPLE). IEEE Trans. Medical Imaging 29(12): 2000-2008 (2010) - [c26]Thomas R. Langerak, Uulke A. van der Heide, Alexis N. T. J. Kotte, Josien P. W. Pluim:
Automatic estimation of registration parameters: image similarity and regularization. Image Processing 2010: 76232S - [e8]Tianzi Jiang, Nassir Navab, Josien P. W. Pluim, Max A. Viergever:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010, 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6361, Springer 2010, ISBN 978-3-642-15704-2 [contents] - [e7]Tianzi Jiang, Nassir Navab, Josien P. W. Pluim, Max A. Viergever:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010, 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6362, Springer 2010, ISBN 978-3-642-15744-8 [contents] - [e6]Tianzi Jiang, Nassir Navab, Josien P. W. Pluim, Max A. Viergever:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010, 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part III. Lecture Notes in Computer Science 6363, Springer 2010, ISBN 978-3-642-15710-3 [contents]
2000 – 2009
- 2009
- [j12]Stefan Klein, Josien P. W. Pluim, Marius Staring, Max A. Viergever:
Adaptive Stochastic Gradient Descent Optimisation for Image Registration. Int. J. Comput. Vis. 81(3): 227-239 (2009) - [j11]Marius Staring, Uulke A. van der Heide, Stefan Klein, Max A. Viergever, Josien P. W. Pluim:
Registration of Cervical MRI Using Multifeature Mutual Information. IEEE Trans. Medical Imaging 28(9): 1412-1421 (2009) - [c25]Marijn van Stralen, Josien P. W. Pluim:
Optimal Discrete Multi-Resolution Deformable Image Registration. ISBI 2009: 947-950 - [c24]Robin Langerak, Uulke A. van der Heide, Irene Lips, Alexis N. T. J. Kotte, Marco van Vulpen, Josien P. W. Pluim:
Label Fusion Using Performance Estimation with Iterative Label Selection. ISBI 2009: 1183-1186 - [c23]Eva M. van Rikxoort, Mathias Prokop, Bartjan de Hoop, Max A. Viergever, Josien P. W. Pluim, Bram van Ginneken:
Automatic Segmentation of the Pulmonary Lobes from Fissures, Airways, and Lung Borders: Evaluation of Robustness against Missing Data. MICCAI (1) 2009: 263-271 - [c22]Sven Kabus, Tobias Klinder, Keelin Murphy, Bram van Ginneken, Cristian Lorenz, Josien P. W. Pluim:
Evaluation of 4D-CT Lung Registration. MICCAI (1) 2009: 747-754 - [c21]Sascha E. A. Muenzing, Keelin Murphy, Bram van Ginneken, Josien P. W. Pluim:
Automatic detection of registration errors for quality assessment in medical image registration. Image Processing 2009: 72590K - [e5]Josien P. W. Pluim, Benoit M. Dawant:
Medical Imaging 2009: Image Processing, Lake Buena Vista (Orlando Area), Florida, United States, 7-12 February 2009. SPIE Proceedings 7259, SPIE 2009, ISBN 9780819475107 [contents] - 2008
- [j10]Bostjan Likar, Josien P. W. Pluim:
The Third International Workshop on Biomedical Image Registration - WBIR 2006. Medical Image Anal. 12(1): 1-2 (2008) - [c20]Sai Kit Yeung, Chi-Keung Tang, Pengcheng Shi, Josien P. W. Pluim, Max A. Viergever, Albert C. S. Chung, Helen C. Shen:
Enforcing stochastic inverse consistency in non-rigid image registration and matching. CVPR 2008 - [c19]Keelin Murphy, Bram van Ginneken, Josien P. W. Pluim, Stefan Klein, Marius Staring:
Semi-automatic Reference Standard Construction for Quantitative Evaluation of Lung CT Registration. MICCAI (2) 2008: 1006-1013 - [e4]Joseph M. Reinhardt, Josien P. W. Pluim:
Medical Imaging 2008: Image Processing, San Diego, California, United States, 16-21 February 2008. SPIE Proceedings 6914, SPIE 2008, ISBN 9780819470980 [contents] - 2007
- [j9]Stefan Klein, Marius Staring, Josien P. W. Pluim:
Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines. IEEE Trans. Image Process. 16(12): 2879-2890 (2007) - [c18]Stefan Klein, Uulke A. van der Heide, Bas W. Raaymakers, Alexis N. T. J. Kotte, Marius Staring, Josien P. W. Pluim:
Segmentation of the Prostate in MR Images by Atlas Matching. ISBI 2007: 1300-1303 - [c17]I. M. J. van der Bom, Josien P. W. Pluim, R. Homan, J. Timmer, Lambertus W. Bartels:
Projection-slice theorem based 2D-3D registration. Image Processing 2007: 65120B - [e3]Josien P. W. Pluim, Joseph M. Reinhardt:
Medical Imaging 2007: Image Processing, San Diego, CA, United States, 17-22 February 2007. SPIE Proceedings 6512, SPIE 2007, ISBN 9780819466303 [contents] - 2006
- [j8]Zeger F. Knops, J. B. Antoine Maintz, Max A. Viergever, Josien P. W. Pluim:
Normalized mutual information based registration using k-means clustering and shading correction. Medical Image Anal. 10(3): 432-439 (2006) - [c16]Marius Staring, Stefan Klein, Josien P. W. Pluim:
Nonrigid registration using a rigidity constraint. Image Processing 2006: 614413 - [c15]Stefan Klein, Marius Staring, Josien P. W. Pluim:
A Comparison of Acceleration Techniques for Nonrigid Medical Image Registration. WBIR 2006: 151-159 - [e2]Joseph M. Reinhardt, Josien P. W. Pluim:
Medical Imaging 2006: Image Processing, MEDICAL IMAGING, San Diego, California, United States, 11-16 February 2006. SPIE Proceedings 6144, SPIE 2006, ISBN 9780819464231 [contents] - [e1]Josien P. W. Pluim, Bostjan Likar, Frans A. Gerritsen:
Biomedical Image Registration, Third International Workshop, WBIR 2006, Utrecht, The Netherlands, July 9-11, 2006, Proceedings. Lecture Notes in Computer Science 4057, Springer 2006, ISBN 3-540-35648-7 [contents] - 2005
- [c14]Stefan Klein, Marius Staring, Josien P. W. Pluim:
Comparison of gradient approximation techniques for optimisation of mutual information in nonrigid registration. Image Processing 2005 - [c13]Marius Staring, Stefan Klein, Josien P. W. Pluim:
Nonrigid registration with adaptive content-based filtering of the deformation field. Image Processing 2005 - 2004
- [j7]Cynthia Jongen, Josien P. W. Pluim, Paul H. J. Nederkoorn, Max A. Viergever, Wiro J. Niessen:
Construction and evaluation of an average CT brain image for inter-subject registration. Comput. Biol. Medicine 34(8): 647-662 (2004) - [j6]Josien P. W. Pluim, J. B. Antoine Maintz, Max A. Viergever:
f-information measures in medical image registration. IEEE Trans. Medical Imaging 23(12): 1508-1516 (2004) - [c12]Cynthia Jongen, Jeroen van der Grond, Josien P. W. Pluim:
Ventricle Registration for Inter-subject White Matter Lesion Analysis. MICCAI (1) 2004: 712-719 - [c11]Zeger F. Knops, J. B. Antoine Maintz, Max A. Viergever, Josien P. W. Pluim:
Registration Using Segment Intensity Remapping and Mutual Information. MICCAI (1) 2004: 805-812 - 2003
- [j5]Josien P. W. Pluim, J. B. Antoine Maintz, Max A. Viergever:
Mutual Information Based Registration of Medical Images: A Survey. IEEE Trans. Medical Imaging 22(8): 986-1004 (2003) - [j4]Josien P. W. Pluim, J. Michael Fitzpatrick:
Image Registration. IEEE Trans. Medical Imaging 22(11): 1341-1343 (2003) - [c10]Jan Klemencic, Josien P. W. Pluim, Max A. Viergever, Hugo G. Schnack, Vojko Valencic:
Three-dimensional appearance for hippocampus segmentation from MRI. Image Processing 2003 - [c9]Zeger F. Knops, J. B. Antoine Maintz, Max A. Viergever, Josien P. W. Pluim:
Normalized mutual information-based registration using K-means clustering-based histogram binning. Image Processing 2003 - [c8]Zeger F. Knops, J. B. Antoine Maintz, Max A. Viergever, Josien P. W. Pluim:
Normalized Mutual Information Based PET-MR Registration Using K-Means Clustering and Shading Correction. WBIR 2003: 31-39 - 2001
- [j3]Josien P. W. Pluim, J. B. Antoine Maintz, Max A. Viergever:
Mutual information matching in multiresolution contexts. Image Vis. Comput. 19(1-2): 45-52 (2001) - [c7]Petronella Anbeek, Koen L. Vincken, Matthias J. P. van Osch, Josien P. W. Pluim, Jeroen van der Grond, Max A. Viergever:
Two-Step Registration of Subacute to Hyperacute Stroke MRIs. MICCAI 2001: 1279-1280 - [c6]Josien P. W. Pluim, J. B. Antoine Maintz, Max A. Viergever:
f-information measures in medical image registration. Image Processing 2001 - 2000
- [j2]Josien P. W. Pluim, J. B. Antoine Maintz, Max A. Viergever:
Interpolation Artefacts in Mutual Information-Based Image Registration. Comput. Vis. Image Underst. 77(2): 211-232 (2000) - [j1]Josien P. W. Pluim, J. B. Antoine Maintz, Max A. Viergever:
Image Registration by Maximization of Combined Mutual Information and Gradient Information. IEEE Trans. Medical Imaging 19(8): 809-814 (2000) - [c5]Josien P. W. Pluim, J. B. Antoine Maintz, Max A. Viergever:
Image Registration by Maximization of Combined Mututal Information and Gradient Information. MICCAI 2000: 452-461
1990 – 1999
- 1999
- [c4]Erik H. W. Meijering, Wiro J. Niessen, Josien P. W. Pluim, Max A. Viergever:
Quantitative Comparison of Sinc-Approximating Kernels for Medical Image Interpolation. MICCAI 1999: 210-217 - [c3]Josien P. W. Pluim, J. B. Antoine Maintz, Max A. Viergever:
Mutual information matching and interpolation artifacts. Image Processing 1999 - 1998
- [c2]Josien P. W. Pluim, J. B. Antoine Maintz, Max A. Viergever:
Multiscale approach to mutual information matching. Image Processing 1998 - 1995
- [c1]J. A. G. Nijhuis, M. ter Brugge, K. A. Helmholt, Josien P. W. Pluim, Lambert Spaanenburg, Rienk S. Venema, Michel A. Westenberg:
Car license plate recognition with neural networks and fuzzy logic. ICNN 1995: 2232-2236
Coauthor Index
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