Josien Pluim studied Computer Science at the University of Groningen and graduated in 1996, specializing in Scientific Computing and Imaging. Having done the research for her master's thesis at the Image Sciences Institute, she was bribed into staying as a PhD candidate. Her research project involved multimodality image registration, focusing on mutual information as the registration measure. In June 2001, she received her PhD degree.
She is Professor of Medical Image Analysis at Eindhoven University of Technology, in combination with a part-time position at the Image Sciences Institute. She is or was associate editor of the IEEE Transactions on Medical Imaging, IEEE Transactions on Biomedical Enigineering, Medical Physics, SPIE Journal of Medical Imaging and Medical Image Analysis. She chaired the Workshop on Biomedical Image Registration (WBIR) 2006, was programme co-chair of MICCAI 2010 and chair of the Image Processing conference of SPIE Medical Imaging (2006-2009).
Her research focusses on medical image analysis, both methodological and applied research. The main research themes are oncology, image registration and digital pathology.
Image Sciences Institute
University Medical Center Utrecht
Heidelberglaan 100
Room Q.02.4.45
3584 CX Utrecht
The Netherlands
email:
j.pluim@umcutrecht.nl
office: Q.02.4.41
phone: +31 88 75 57788
secretary: +31 88 75 57772
Publications
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Body composition and checkpoint inhibitor treatment outcomes in advanced melanoma: a multicenter cohort study
Schuiveling, Mark, Ter Maat, Laurens S, Van Duin, Isabella A J, Verheijden, Rik J, Troenokarso, Max F, Moeskops, Pim, Verhoeff, Joost J C, Elias, Sjoerd G, Van Amsterdam, Wouter A C, Burgers, Femke, Van Den Berkmortel, Franchette W P J, Boers-Sonderen, Marye J, Boomsma, Martijn F, De Groot, Jan Willem, Haanen, John B A G, Hospers, Geke A P, Piersma, Djura, Vreugdenhil, Gerard, Westgeest, Hans M, Kapiteijn, Ellen, Labots, Mariette, Veldhuis, Wouter B, Van Diest, Paul J, De Jong, Pim A, Pluim, Josien P W, Leiner, Tim, Veta, Mitko, Suijkerbuijk, Karijn P M
Feb
2025
in
Journal of the National Cancer Institute
-
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Deep-learning-based joint rigid and deformable contour propagation for magnetic resonance imaging-guided prostate radiotherapy
Kolenbrander, Iris D, Maspero, Matteo, Hendriksen, Allard A, Pollitt, Ryan, van der Voort van Zyp, Jochem R N, van den Berg, Cornelis A T, Pluim, Josien P W, van Eijnatten, Maureen A J M
Apr
2024
in
Medical Physics
51
(4),
p. 2367-2377
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Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma
Ter Maat, Laurens S, De Mooij, Rob A J, Van Duin, Isabella A J, Verhoeff, Joost J C, Elias, Sjoerd G, Leiner, Tim, van Amsterdam, Wouter A C, Troenokarso, Max F, Arntz, Eran R A N, Van den Berkmortel, Franchette W P J, Boers-Sonderen, Marye J, Boomsma, Martijn F, Van den Eertwegh, Fons J M, de Groot, Jan Willem, Hospers, Geke A P, Piersma, Djura, Vreugdenhil, Art, Westgeest, Hans M, Kapiteijn, Ellen, De Wit, Ardine A, Blokx, Willeke A M, Van Diest, Paul J, De Jong, Pim A, Pluim, Josien P W, Suijkerbuijk, Karijn P M, Veta, Mitko
Dec
2024
in
Scientific Reports
14
(1),
-
Assessing the Robustness of Image Registration Models Under Domain Shifts with Learnable Input Images
Kolenbrander, Iris D., Prasad, Vidya, Zikken, Leanne, van Eijnatten, Maureen A.J.M., Maspero, Matteo, Pluim, Josien P.W.
oct
2024 in Assessing the Robustness of Image Registration Models Under Domain Shifts with Learnable Input Images: Biomedical Image Registration - 11th International Workshop, WBIR 2024, Held in Conjunction with MICCAI 2024, Proceedings p. 101-111 (; vol. )
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Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy
den Boer, R B, Jaspers, T J M, de Jongh, C, Pluim, J P W, van der Sommen, F, Boers, T, van Hillegersberg, R, Van Eijnatten, M A J M, Ruurda, J P
Jul
2023
in
Surgical endoscopy
37
(7),
p. 5164-5175
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CT radiomics compared to a clinical model for predicting checkpoint inhibitor treatment outcomes in patients with advanced melanoma
Ter Maat, Laurens S, van Duin, Isabella A J, Elias, Sjoerd G, Leiner, Tim, Verhoeff, Joost J C, Arntz, Eran R A N, Troenokarso, Max F, Blokx, Willeke A M, Isgum, Ivana, de Wit, Geraldine A, van den Berkmortel, Franchette W P J, Boers-Sonderen, Marye J, Boomsma, Martijn F, van den Eertwegh, Fons J M, de Groot, Jan Willem B, Piersma, Djura, Vreugdenhil, Art, Westgeest, Hans M, Kapiteijn, Ellen, van Diest, Paul J, Pluim, Josien P W, de Jong, Pim A, Suijkerbuijk, Karijn P M, Veta, Mitko
May
2023
in
European Journal of Cancer
185
p. 167-177
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Reconstruction of the Corticospinal Tract in Patients with Motor-Eloquent High-Grade Gliomas Using Multilevel Fiber Tractography Combined with Functional Motor Cortex Mapping
Zhylka, A., Sollmann, N., Kofler, F., Radwan, A., De Luca, A., Gempt, J., Wiestler, B., Menze, B., Schroeder, A., Zimmer, C., Kirschke, J. S., Sunaert, S., Leemans, A., Krieg, S. M., Pluim, J.
Mar
2023
in
AJNR. American journal of neuroradiology
44
(3),
p. 283-290
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A Framework for Simulating Cardiac MR Images with Varying Anatomy and Contrast
Amirrajab, Sina, Khalil, Yasmina Al, Lorenz, Cristian, Weese, Jurgen, Pluim, Josien, Breeuwer, Marcel
Mar
2023
in
IEEE transactions on medical imaging
42
(3),
p. 726-738
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Deep learning based correction of RF field induced inhomogeneities for T2w prostate imaging at 7 T
Harrevelt, Seb D, Meliado, Ettore F M, van Lier, Astrid L H M W, Reesink, Daan, Meijer, Richard P, Pluim, Josien P W, Raaijmakers, Alexander J E
Dec
2023
in
NMR in Biomedicine
36
(12),
-
Bandwidth Improvement in Ultrasound Image Reconstruction Using Deep Learning Techniques
Awasthi, Navchetan, van Anrooij, Laslo, Jansen, Gino, Schwab, Hans Martin, Pluim, Josien P.W., Lopata, Richard G.P.
Jan
2023
in
Healthcare (Switzerland)
11
(1),
p. 1-19
-
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LVNet: Lightweight Model for Left Ventricle Segmentation for Short Axis Views in Echocardiographic Imaging
Awasthi, Navchetan, Vermeer, Lars, Fixsen, Louis S., Lopata, Richard G.P., Pluim, Josien P.W.
Jun
2022
in
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
69
(6),
p. 2115-2128
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Automatic evaluation of graft orientation during Descemet membrane endothelial keratoplasty using intraoperative OCT
Muijzer, Marc B., Heslinga, Friso G., Couwenberg, Floor, Noordmans, Herke Jan, Oahalou, Abdelkarim, Pluim, Josien P.W., Veta, Mitko, Wisse, Robert P.L.
May
2022
in
Biomedical optics express
13
(5),
p. 2683-2694
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Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images
Wetstein, Suzanne C., de Jong, Vincent M.T., Stathonikos, Nikolas, Opdam, Mark, Dackus, Gwen M.H.E., Pluim, Josien P.W., van Diest, Paul J., Veta, Mitko
Dec
2022
in
Scientific Reports
12
(1),
-
Computer-aided anatomy recognition in intrathoracic and -abdominal surgery: a systematic review
den Boer, R B, de Jongh, C, Huijbers, W T E, Jaspers, T J M, Pluim, J P W, van Hillegersberg, R, Van Eijnatten, M, Ruurda, J P
Dec
2022
in
Surgical endoscopy
36
(12),
p. 8737-8752
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Imaging to predict checkpoint inhibitor outcomes in cancer. A systematic review
Ter Maat, Laurens S, van Duin, Isabella A J, Elias, Sjoerd G, van Diest, Paul J, Pluim, Josien P W, Verhoeff, Joost J C, de Jong, Pim A, Leiner, Tim, Veta, Mitko, Suijkerbuijk, Karijn P M
Nov
2022
in
European Journal of Cancer
175
p. 60-76
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Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks
Amirrajab, Sina, Al Khalil, Yasmina, Lorenz, Cristian, Weese, Jürgen, Pluim, Josien, Breeuwer, Marcel
Oct
2022
in
Computerized Medical Imaging and Graphics
101
-
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Deep learning-based grading of ductal carcinoma in situ in breast histopathology images
Wetstein, Suzanne C., Stathonikos, Nikolas, Pluim, Josien P.W., Heng, Yujing J., ter Hoeve, Natalie D., Vreuls, Celien P.H., van Diest, Paul J., Veta, Mitko
Apr
2021
in
Laboratory Investigation
101
(4),
p. 525-533
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Deep Learning Regression for Prostate Cancer Detection and Grading in Bi-parametric MRI
De Vente, Coen, Vos, Pieter, Hosseinzadeh, Matin, Pluim, Josien, Veta, Mitko
Feb
2021
in
IEEE Transactions on Biomedical Engineering
68
(2),
p. 374-383
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Tracking the Corticospinal Tract in Patients With High-Grade Glioma: Clinical Evaluation of Multi-Level Fiber Tracking and Comparison to Conventional Deterministic Approaches
Zhylka, Andrey, Sollmann, Nico, Kofler, Florian, Radwan, Ahmed, De Luca, Alberto, Gempt, Jens, Wiestler, Benedikt, Menze, Bjoern, Krieg, Sandro M., Zimmer, Claus, Kirschke, Jan S., Sunaert, Stefan, Leemans, Alexander, Pluim, Josien P.W.
Dec
2021
in
Frontiers in oncology
11
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CLDICE - A novel topology-preserving loss function for tubular structure segmentation
Shit, Suprosanna, Paetzold, Johannes C., Sekuboyina, Anjany, Ezhov, Ivan, Unger, Alexander, Zhylka, Andrey, Pluim, Josien P.W., Bauer, Ulrich, Menze, Bjoern H.
2021 in CLDICE - A novel topology-preserving loss function for tubular structure segmentation: Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021 p. 16555-16564 (; vol. )
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Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks
Heslinga, Friso G, Alberti, Mark, Pluim, Josien P W, Cabrerizo, Javier, Veta, Mitko
Aug
2020
in
Translational vision science & technology
9
(2),
p. 1-9
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Correcting time-intensity curves in dynamic contrast-enhanced breast MRI for inhomogeneous excitation fields at 7T
van Rijssel, Michael J., Pluim, Josien P.W., Chan, Hui Shan M., van den Wildenberg, Lieke, Schmitz, Alexander M.Th, Luijten, Peter R., Gilhuijs, Kenneth G.A., Klomp, Dennis W.J.
Aug
2020
in
Magnetic Resonance in Medicine
84
(2),
p. 1000-1010
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Accelerating implant RF safety assessment using a low-rank inverse update method
Stijnman, Peter R.S., Tokaya, Janot P., van Gemert, Jeroen, Luijten, Peter R., Pluim, Josien P.W., Brink, Wyger M., Remis, Rob F., van den Berg, Cornelis A.T., Raaijmakers, Alexander J.E.
May
2020
in
Magnetic Resonance in Medicine
83
(5),
p. 1796-1809
-
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Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk
Wetstein, Suzanne C, Onken, Allison M, Luffman, Christina, Baker, Gabrielle M, Pyle, Michael E, Kensler, Kevin H, Liu, Ying, Bakker, Bart, Vlutters, Ruud, van Leeuwen, Marinus B, Collins, Laura C, Schnitt, Stuart J, Pluim, Josien P W, Tamimi, Rulla M, Heng, Yujing J, Veta, Mitko
Apr
2020
in
PLoS ONE
15
(4),
p. e0231653
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Segmentation and Classification of Melanoma and Nevus in Whole Slide Images
Van Zon, Mike, Stathonikos, Nikolas, Blokx, Willeke A.M., Komina, Selim, Maas, Sybren L.N., Pluim, Josien P.W., Van Diest, Paul J., Veta, Mitko
apr
2020 in Segmentation and Classification of Melanoma and Nevus in Whole Slide Images: ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging p. 263-266 (; vol. )
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Fast contour propagation for MR-guided prostate radiotherapy using convolutional neural networks
Eppenhof, K A J, Maspero, M, Savenije, M H F, de Boer, J C J, van der Voort van Zyp, J R N, Raaymakers, B W, Raaijmakers, A J E, Veta, M, van den Berg, C A T, Pluim, J P W
Mar
2020
in
Medical Physics
47
(3),
p. 1238-1248
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Untangling the diffusion signal using the phasor transform
van Rijssel, Michael J., Froeling, Martijn, van Lier, Astrid L.H.M.W., Verhoeff, Joost J.C., Pluim, Josien P.W.
Dec
2020
in
NMR in Biomedicine
33
(12),
p. 1-19
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Patient-specific fine-tuning of convolutional neural networks for follow-up lesion quantification
Jansen, Mariëlle, Kuijf, Hugo, Dhara, Ashis K., Weaver, Nick, Biessels, Geert Jan, Strand, Robin, Pluim, JPW
Nov
2020
in
Journal of Medical Imaging
7
(6),
p. 1-15
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Automated Quantitative Measures of Terminal Duct Lobular Unit Involution and Breast Cancer Risk
Kensler, Kevin H, Liu, Emily Z F, Wetstein, Suzanne C, Onken, Allison M, Luffman, Christina I, Baker, Gabrielle M, Collins, Laura C, Schnitt, Stuart J, Bret-Mounet, Vanessa C, Veta, Mitko, Pluim, Josien P W, Liu, Ying, Colditz, Graham A, Eliassen, A Heather, Hankinson, Susan E, Tamimi, Rulla M, Heng, Yujing J
Nov
2020
in
Cancer Epidemiology Biomarkers & Prevention
29
(11),
p. 2358-2368
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Ultrasound Based Wall Stress Analysis of Abdominal Aortic Aneurysms using Multiperspective Imaging
van Disseldorp, Emiel M J, van Dronkelaar, Julia J, Pluim, Josien P W, van de Vosse, Frans N, van Sambeek, Marc R H M, Lopata, Richard G P
Jan
2020
in
European Journal of Vascular and Endovascular Surgery
59
(1),
p. 81-91
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Reducing distortions in echo-planar breast imaging at ultrahigh field with high-resolution off-resonance maps
van Rijssel, Michael J, Zijlstra, Frank, Seevinck, Peter R, Luijten, Peter R, Gilhuijs, Kenneth G A, Klomp, Dennis W J, Pluim, Josien P W
Jul
2019
in
Magnetic Resonance in Medicine
82
(1),
p. 425-435
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Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
Veta, Mitko, Heng, Yujing J., Stathonikos, Nikolas, Bejnordi, Babak Ehteshami, Beca, Francisco, Wollmann, Thomas, Rohr, Karl, Shah, Manan A., Wang, Dayong, Rousson, Mikael, Hedlund, Martin, Tellez, David, Ciompi, Francesco, Zerhouni, Erwan, Lanyi, David, Viana, Matheus, Kovalev, Vassili, Liauchuk, Vitali, Phoulady, Hady Ahmady, Qaiser, Talha, Graham, Simon, Rajpoot, Nasir, Sjöblom, Erik, Molin, Jesper, Paeng, Kyunghyun, Hwang, Sangheum, Park, Sunggyun, Jia, Zhipeng, Chang, Eric I.Chao, Xu, Yan, Beck, Andrew H., van Diest, Paul J., Pluim, Josien P.W.
May
2019
in
Medical Image Analysis
54
p. 111-121
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Automatic classification of focal liver lesions based on MRI and risk factors
Jansen, MJA, Kuijf, HJ, Veldhuis, WB, Wessels, FJ, Viergever, MA, Pluim, JPW
May
2019
in
PLoS ONE
14
(5),
-
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Liver segmentation and metastases detection in MR images using convolutional neural networks
Jansen, Mariëlle J A, Kuijf, Hugo J, Niekel, Maarten, Veldhuis, Wouter B, Wessels, Frank J, Viergever, Max A, Pluim, Josien P W
Oct
2019
in
Journal of Medical Imaging
6
(4),
-
Convolutional neural network-based regression for quantification of brain characteristics using MRI
Fernandes, João, Alves, Victor, Khalili, Nadieh, Benders, Manon J.N.L., Išgum, Ivana, Pluim, Josien, Moeskops, Pim
jan
2019 in Convolutional neural network-based regression for quantification of brain characteristics using MRI: New Knowledge in Information Systems and Technologies - Volume 2 p. 577-586 (; vol. )
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Approximation of a pipeline of unsupervised retina image analysis methods with a CNN
Heslinga, Friso G., Pluim, Josien P.W., Dashtbozorg, Behdad, Berendschot, Tos T.J.M., Houben, A. J.H.M., Henry, Ronald M.A., Veta, Mitko
jan
2019 in Approximation of a pipeline of unsupervised retina image analysis methods with a CNN: Medical Imaging 2019 p. (; vol. )
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Convolutional Neural Networks for Segmentation of the Left Atrium from Gadolinium-Enhancement MRI Images
de Vente, Coen, Veta, Mitko, Razeghi, Orod, Niederer, Steven, Pluim, Josien, Rhode, Kawal, Karim, Rashed
jan
2019 in Convolutional Neural Networks for Segmentation of the Left Atrium from Gadolinium-Enhancement MRI Images: Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers p. 348-356 (; vol. )
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Muti-shell Diffusion MRI Harmonisation and Enhancement Challenge (MUSHAC): Progress and Results
Ning, Lipeng, Bonet-Carne, Elisenda, Grussu, Francesco, Sepehrband, Farshid, Kaden, Enrico, Veraart, Jelle, Blumberg, Stefano B., Khoo, Can Son, Palombo, Marco, Coll-Font, Jaume, Scherrer, Benoit, Warfield, Simon K., Karayumak, Suheyla Cetin, Rathi, Yogesh, Koppers, Simon, Weninger, Leon, Ebert, Julia, Merhof, Dorit, Moyer, Daniel, Pietsch, Maximilian, Christiaens, Daan, Teixeira, Rui, Tournier, Jacques Donald, Zhylka, Andrey, Pluim, Josien, Parker, Greg, Rudrapatna, Umesh, Evans, John, Charron, Cyril, Jones, Derek K., Tax, Chantal W.M.
jan
2019 in Muti-shell Diffusion MRI Harmonisation and Enhancement Challenge (MUSHAC):Progress and Results Computational diffusion MRI p. 217-224 (; vol. )
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Detection of acini in histopathology slides: Towards automated prediction of breast cancer risk
Wetstein, Suzanne C., Onken, Allison M., Baker, Gabrielle M., Pyle, Michael E., Pluim, Josien P.W., Tamimi, Rulla M., Heng, Yujing J., Veta, Mitko
jan
2019 in Detection of acini in histopathology slides:Towards automated prediction of breast cancer risk Medical Imaging 2019 p. (; vol. )
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Selection Strategies for Atlas-Based Mosaicing of Left Atrial 3-D Transesophageal Echocardiography Data
Mulder, Harriët W., van Stralen, Marijn, Ren, Ben, Haak, Alexander, van Burken, Gerard, Viergever, Max A., Bosch, Johan G., Pluim, Josien P.W.
Jul
2018
in
Ultrasound in Medicine and Biology
44
(7),
p. 1533-1543
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Inferring a third spatial dimension from 2D histological images
Lafarge, Maxime W., Pluim, Josien P.W., Eppenhof, Koen A.J., Moeskops, Pim, Veta, Mitko
may
2018 in Inferring a third spatial dimension from 2D histological images: 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018 p. 586-589 (; vol. )
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Reconnection of Interrupted Curvilinear Structures via Cortically Inspired Completion for Ophthalmologic Images
Zhang, Jiong, Bekkers, Erik, Chen, Da, Berendschot, Tos T.J.M., Schouten, Jan, Pluim, Josien P.W., Shi, Yonggang, Dashtbozorg, Behdad, Romeny, Bart M.Ter Haar
May
2018
in
IEEE Transactions on Biomedical Engineering
65
(5),
p. 1151-1165
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-
Estimating B1+ in the breast at 7T using a generic template
van Rijssel, Michael J., Pluim, Josien P. W., Luijten, Peter R., Gilhuijs, Kenneth G. A., Raaijmakers, Alexander J. E., Klomp, Dennis W. J.
Mar
2018
in
NMR in Biomedicine
31
(5),
-
-
Roto-translation covariant convolutional networks for medical image analysis
Bekkers, Erik J., Lafarge, Maxime W., Veta, Mitko, Eppenhof, Koen A.J., Pluim, Josien P.W., Duits, Remco
jan
2018 in Roto-translation covariant convolutional networks for medical image analysis: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings p. 440-448 (; vol. )
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Crowd disagreement about medical images is informative
Cheplygina, Veronika, Pluim, Josien P.W.
jan
2018 in Crowd disagreement about medical images is informative: Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018 Held in Conjunction with MICCAI 2018 p. 105-111 (; vol. )
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Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI
Moeskops, Pim, de Bresser, Jeroen, Kuijf, Hugo J., Mendrik, AM, Biessels, Geert Jan, Pluim, Josien P.W., Išgum, Ivana
2018
in
Neuroimage: Clinical [E]
17
p. 251-262
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Automatic detection of cortical microinfarcts on 3T brain MRI using deep convolutional neural networks
Kuijf, Hugo, Veta, Mitko, Hilal, Saima, van Veluw, Susanne, Viergever, Max A., Pluim, JPW, Chen, Christopher, Biessels, Geert Jan
2018 at Automatic detection of cortical microinfarcts on 3T brain MRI using deep convolutional neural networks
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Evaluation of motion correction for clinical dynamic contrast enhanced MRI of the liver
Jansen, M. J.A., Kuijf, H. J., Veldhuis, W. B., Wessels, F. J., Van Leeuwen, M. S., Pluim, J. P.W.
Sep
2017
in
Physics in Medicine and Biology
62
(19),
p. 7556-7568
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Atlas-Based Mosaicing of Left Atrial 3-D Transesophageal Echocardiography Images
Mulder, Harriët W., van Stralen, Marijn, Ren, Ben, Haak, Alexander, Viergever, Max A., Bosch, Johan G., Pluim, JPW
Apr
2017
in
Ultrasound in Medicine and Biology
3
(4),
p. 765-774
-
-
-
Gland segmentation in colon histology images: The glas challenge contest
Sirinukunwattana, Korsuk, Pluim, JPW, Chen, Hao, Qi, Xiaojuan, Heng, Pheng-Ann, Guo, Yun Bo, Wang, Li Yang, Matuszewski, Bogdan J, Bruni, Elia, Sanchez, Urko, Böhm, Anton, Ronneberger, Olaf, Cheikh, Bassem Ben, Racoceanu, Daniel, Kainz, Philipp, Pfeiffer, Michael, Urschler, Martin, Snead, David R J, Rajpoot, Nasir M
Jan
2017
in
Medical Image Analysis
35
p. 489-502
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Domain-adversarial neural networks to address the appearance variability of histopathology images
Lafarge, Maxime W., Pluim, Josien P.W., Eppenhof, Koen A.J., Moeskops, Pim, Veta, Mitko
2017 in Domain-adversarial neural networks to address the appearance variability of histopathology images: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 3rd International Workshop, DLMIA 2017 and 7th International Workshop, ML-CDS 2017 Held in Conjunction with MICCAI 2017, Proceedings p. 83-91 (; vol. )
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Adversarial training and dilated convolutions for brain MRI segmentation
Moeskops, Pim, Veta, Mitko, Lafarge, Maxime W., Eppenhof, Koen A.J., Pluim, Josien P.W.
2017 in Adversarial training and dilated convolutions for brain MRI segmentation: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 3rd International Workshop, DLMIA 2017 and 7th International Workshop, ML-CDS 2017 Held in Conjunction with MICCAI 2017, Proceedings p. 56-64 (; vol. )
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Exploring the Similarity of Medical Imaging Classification Problems
Cheplygina, Veronika, Moeskops, Pim, Veta, Mitko, Dashtbozorg, Behdad, Pluim, Josien P.W.
2017 in Exploring the Similarity of Medical Imaging Classification Problems: Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 6th Joint International Workshops, CVII-STENT 2017 and 2nd International Workshop, LABELS 2017 Held in Conjunction with MICCAI 2017, Proceedings p. 59-66 (; vol. )
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Automatic segmentation of the intracranial volume in fetal MR images
Khalili, N., Moeskops, P., Claessens, N. H.P., Scherpenzeel, S., Turk, E., de Heus, R., Benders, M. J.N.L., Viergever, M. A., Pluim, J. P.W., Išgum, I.
2017 in Automatic segmentation of the intracranial volume in fetal MR images: Fetal, Infant and Ophthalmic Medical Image Analysis - International Workshop, FIFI 2017 and 4th International Workshop, OMIA 2017 Held in Conjunction with MICCAI 2017, Proceedings p. 42-51 (; vol. )
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Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores
Zhang, Jiong, Dashtbozorg, Behdad, Bekkers, Erik, Pluim, Josien, Duits, Remco, Ter Haar Romeny, Bart
Dec
2016
in
IEEE Transactions on Medical Imaging
35
(12),
-
Automatic segmentation and registration of abdominal aortic aneurysms using 3D ultrasound
Van Disseldorp, E. M J, Van Dronkelaar, J. J., Pluim, J. P W, Van De Vosse, Frans, Van Sambeek, M. R H M, Lopata, R. G P
nov
2016 in Automatic segmentation and registration of abdominal aortic aneurysms using 3D ultrasound: 2016 IEEE International Ultrasonics Symposium, IUS 2016 p. (; vol. )
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A survey of medical image registration - under review
Viergever, Max A, Maintz, J B Antoine, Klein, Stefan, Murphy, Keelin, Staring, Marius, Pluim, JPW
2016
in
Medical Image Analysis
33
p. 140-144
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Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method
Veta, Mitko, van Diest, Paul J, Jiwa, Mehdi, Al-Janabi, Shaimaa, Pluim, JPW
2016
in
PLoS ONE [E]
11
(8),
-
IMPROVED SEGMENTATION OF MULTIPLE CAVITIES OF THE HEART IN WIDE-VIEW 3-D TRANSESOPHAGEAL ECHOCARDIOGRAMS
Haak, Alexander, Ren, Ben, Mulder, Harriet W., Vegas-Sanchez-Ferrero, Gonzalo, van Burken, Gerard, van der Steen, Antonius F. W., van Stralen, M, Pluim, JPW, van Walsum, Theo, Bosch, Johannes G.
Jul
2015
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Segmentation of Multiple Heart Cavities in 3-D Transesophageal Ultrasound Images
Haak, Alexander, Vegas-Sanchez-Ferrero, Gonzalo, Mulder, Harriet W., Ren, Ben, Kirisli, Hortense A., Metz, Coert, van Burken, Gerard, van Stralen, M, Pluim, JPW, van der Steen, Antonius F. W., van Walsum, Theo, Bosch, Johannes G.
Jun
2015
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Arterial and portal venous liver perfusion using selective spin labelling MRI
Schalkx, Hanke J., Petersen, Esben T., Peters, Nicky H. G. M., Veldhuis, WB, van Leeuwen, MS, Pluim, JPW, van den Bosch, Maurice A. A. J., van Stralen, M
Jun
2015
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25
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Assessment of algorithms for mitosis detection in breast cancer histopathology images
Veta, Mitko, van Diest, Paul J., Willems, Stefan M., Madabhushi, Anant, Cruz-Roa, Angel, Gonzalez, Fabio, Larsen, Anders B L, Vestergaard, Jacob S., Dahl, Anders B., Cireşan, Dan C., Schmidhuber, Jürgen, Giusti, Alessandro, Gambardella, Luca M., Tek, F. Boray, Walter, Thomas, Wang, Ching Wei, Kondo, Satoshi, Matuszewski, Bogdan J., Precioso, Frederic, Snell, Violet, Kittler, Josef, de Campos, Teofilo E., Khan, Adnan M., Rajpoot, Nasir M., Arkoumani, Evdokia, Lacle, Miangela M., Viergever, Max A., Pluim, JPW
Feb
2015
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20
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Evaluation of image-based bias field correction at 7T
van Rijssel, Mike, Pluim, JPW, van der Velden, Bas, van der Velden, Tijl, Krikken, E, Wijnen, Jannie, Gilhuijs, Kenneth, Klomp, DWJ
oct
2015 at Evaluation of image-based bias field correction at 7T
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Multimodality infarct identification for optimal image-guided intramyocardial cell injections.
van Slochteren, F.J., van Es, R, Koudstaal, S., van der Spoel, T.I.G., Sluijter, J.P.G., Verbree, J.M., Pruim, R.H., Pluim, J.P.W., Leiner, T., Doevendans, P.A.F.M., Chamuleau, S.A.J.
Nov
2014
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22
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Segmentation of multiple heart cavities in wide-view fused 3D transesophageal echocardiograms
Haak, Alexander, Mulder, Harriët W., Ren, Ben, Vegas-Sánchez-Ferrero, Gonzalo, Van Burken, Gerard, Van Der Steen, Antonius F.W., Van Stralen, Marijn, Pluim, Josien P.W., Van Walsum, Theo, Bosch, Johannes G.
oct
2014 in Segmentation of multiple heart cavities in wide-view fused 3D transesophageal echocardiograms: IEEE International Ultrasonics Symposium, IUS p. 691-694 (; vol. )
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Registration of structurally dissimilar images in MRI-based brachytherapy
Berendsen, F.F., Kotte, A.N.T.J., de Leeuw, A.A.C., Jurgenliemk-Schulz, I.M., Viergever, M.A., Pluim, J.P.W.
2014
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59
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p. 4033-4045
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Multiframe registration of real-time three-dimensional echocardiography time series
Mulder, Harriët, van Stralen, M., van der Zwaan, H.B., Leung, K.Y.E., Bosch, J.G., Pluim, J.P.W.
2014
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1
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Registration of CT to pre-treatment MRI for planning of MR-HIFU ablation treatment of painful bone metastases
Noorda, Y.H., Bartels, L.W., Huisman, M., Nijenhuis, R.J., van den Bosch, M.A.A.J., Pluim, J.P.W.
2014
in
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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
Schalkx, H.J., van Stralen, M., Coenegrachts, K., van den Bosch, M.A.A.J., van Kessel, C.S., van Hillegersberg, R., van Erpecum, K.J., Verkooijen, H.M., Pluim, J.P.W., Veldhuis, W.B., van Leeuwen, M.S.
2014
in
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24
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p. 2146-2156
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Implicit surface registration with surface-oriented anisotropic deformation field smoothing
Pearlman, Paul C., Isgum, Ivana, Kersbergen, Karina J., Benders, Manon J.N.L., Viergever, Max A., Pluim, Josien P.W.
aug
2013 in Implicit surface registration with surface-oriented anisotropic deformation field smoothing: ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging p. 480-483 (; vol. )
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Simultaneous pairwise registration for image mosaicing of TEE data
Mulder, H. W., Van Stralen, M., Ren, B., Berendsen, F. F., Bosch, J. G., Pluim, J. P.W.
aug
2013 in Simultaneous pairwise registration for image mosaicing of TEE data: ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging p. 242-245 (; vol. )
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Automatic nuclei segmentation in H&E stained breast cancer histopathology images
Veta, M., van Diest, P.J., Kornegoor, R., Huisman, A., Viergever, M.A., Pluim, J.P.W.
2013
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Multiatlas-based segmentation with preregistration atlas selection
Langerak, T.R., Berendsen, F.F., van der Heide, U.A., Kotte, A.N.T.J., Pluim, J.P.W.
2013
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40
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Free-form image registration regularized by a statistical shape model: application to organ segmentation in cervical MR
Berendsen, F.F., van der Heide, U.A., Langerak, T.R., Kotte, A.N.T.J., Pluim, J.P.W.
2013
in
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117
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Expert-driven label fusion in multi-atlas-based segmentation of the prostate using weighted atlases
Langerak, T.R., van der Heide, U.A., Kotte, A.N.T.J., Berendsen, F.F., van Vulpen, M., Pluim, J.P.W.
2013
in
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8
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p. 929-936
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A transoesophageal echocardiographic image acquisition protocol for wide-view fusion of three-dimensional datasets to support atrial fibrillation catheter ablation
Ren, B., Mulder, H.W., Haak, A., van Stralen, M., Szili-Torok, T., Pluim, J.P.W., Geleijnse, M.L., Bosch, J.G.
2013
in
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37
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Comparison of spatiotemporal interpolators for 4D image reconstruction from 2D transesophageal ultrasound
Haak, Alexander, Van Stralen, Marijn, Van Burken, Gerard, Klein, Stefan, Pluim, Josien P.W., De Jong, Nico, Van Der Steen, Antonius F.W., Bosch, Johannes G.
may
2012 in Comparison of spatiotemporal interpolators for 4D image reconstruction from 2D transesophageal ultrasound: Medical Imaging 2012 p. (; vol. )
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Optimal kernel sizes for 4D image reconstruction using normalized convolution from sparse fast-rotating transesophageal 2D ultrasound images
Haak, Alexander, Klein, Stefan, Van Burken, Gerard, De Jong, Nico, Van Der Steen, Antonius F.W., Bosch, Johannes G., Van Stralen, Marijn, Pluim, Josien P.W.
dec
2012 in Optimal kernel sizes for 4D image reconstruction using normalized convolution from sparse fast-rotating transesophageal 2D ultrasound images: 2012 IEEE International Ultrasonics Symposium, IUS 2012 p. 703-706 (; vol. )
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Elastic demons: Characterizing cortical development in neonates using an implicit surface registration
Pearlman, Paul C., Išgum, Ivana, Kersbergen, Karina J., Benders, Manon J.N.L., Viergever, Max A., Pluim, Josien P.W.
oct
2012 in Elastic demons:Characterizing cortical development in neonates using an implicit surface registration Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Proceedings p. 38-49 (; vol. )
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Toward automatic regional analysis of pulmonary function using inspiration and expiration thoracic CT
Murphy, K., Pluim, J.P.W., van Rikxoort, E.M., de Jong, P.A., de Hoop, B.J., Gietema, H.A., Mets, O.M., de Bruijne, M., Lo, P., Prokop, W.M., van Ginneken, B.
2012
in
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39
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Real-time decoding of the direction of covert visuospatial attention
Andersson, J.P., Ramsey, N.F., Raemaekers, M.A.H.L.L., Viergever, M.A., Pluim, J.P.W.
2012
in
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9
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Patient specific prostate segmentation in 3-d magnetic resonance images
Chandra, S.S., Dowling, J.A., Shen, K.K., Raniga, P., Pluim, J.P.W., Greer, P.B., Salvador, O., Fripp, J.
2012
in
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Prognostic value of automatically extracted nuclear morphometric features in whole slide images of male breast cancer
Veta, M., Kornegoor, R., Huisman, A., Verschuur-Maes, A.H.J., Viergever, M.A., Pluim, J.P.W., van Diest, P.J.
2012
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25
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p. 1559-1565
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Mono- and multimodal registration of optical breast images
Pearlman, P.C., Adams, A.L.L., Elias, S.G., Mali, W.P.T.M., Viergever, M.A., Pluim, J.P.W.
2012
in
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17
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p. 080901
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Determination of a facial nerve safety zone for navigated temporal bone surgery
Voormolen, E.H.J., van Stralen, M., Woerdeman, P.A., Pluim, J.P.W., Noordmans, H.J., Viergever, M.A., Regli, L.P.E., Berkelbach van der Sprenkel, J.W.
2012
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Registration of multi-view apical 3D echocardiography images
Mulder, H. W., Van Stralen, M., Van Der Zwaan, H. B., Leung, K. Y.E., Bosch, J. G., Pluim, J. P.W.
jun
2011 in Registration of multi-view apical 3D echocardiography images: Medical Imaging 2011 p. (; vol. )
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Spatiotemporal interpolation by normalized convolution for 4D transesophageal echocardiography
Haak, Alexander, Van Stralen, Marijn, Van Burken, Gerard, Klein, Stefan, Pluim, Josien P.W., De Jong, Nico, Van Der Steen, Antonius F.W., Bosch, Johannes G.
dec
2011 in Spatiotemporal interpolation by normalized convolution for 4D transesophageal echocardiography: 2011 IEEE International Ultrasonics Symposium, IUS 2011 p. 152-155 (; vol. )
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Accelerated cognitive decline in patients with type 2 diabetes: MRI correlates and risk factors
Reijmer, Y.D., Van den Berg, E., de Bresser, J.H.J.M., Kessels, R.P.C., Kappelle, L.J., Algra, A., Brands, A.M.A., Breedijk, M.A., Brundel, M., van Gijn, J., Gispen, W.H., van Huffelen, A.C., Mali, W.P.T.M., Pluim, J.P.W., Rutten, G.E.H.M., Tiehuis, A.M., de Valk, H.W., Viergever, M.A., Utrecht Diabetic Encephalopathy, x, Biessels, G.J.
2011
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27
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Registration of 2D x-ray images to 3D MRI by generating pseudo-CT data
van der Bom, M.J., Pluim, J.P.W., Gounis, M.J., van de Kraats, E.B., Sprinkhuizen, S.M., Timmer, J., Homan, R., Bartels, L.W.
2011
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Real-time decoding of brain responses to visuospatial attention using 7T fMRI
Andersson, J.P., Pluim, J.P.W., Siero, J.C.W., Klein, S., Viergever, M.A., Ramsey, N.F.
2011
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Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
Murphy, K., van Ginneken, B., Münzing, S.E.A., Viergever, M.A., et al., X, Pluim, J.P.W.
2011
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Semi-automatic construction of reference standards for evaluation of image registration
Murphy, K., van Ginneken, B., Klein, S., Staring, M., de Hoop, B.J., Viergever, M.A., Pluim, J.P.W.
2011
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15
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Evaluation of Methods for Pulmonary Image Registration: the EMPIRE10 study
Murphy, K., van Ginneken, B., Reinhardt, J.M., Kabus, S., Ding, K., Deng, X., Pluim, J.P.W.
2010 in Evaluation of Methods for Pulmonary Image Registration: the EMPIRE10 study: Medical Image Analysis for the Clinic - A Grand Challenge p. 11-22 (; vol. )
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Robust initialization of 2D-3D image registration using the projection-slice theorem and phase correlation
van der Bom, M.J., Bartels, L.W., Gounis, M.J., Homan, R., Timmer, J., Viergever, M.A., Pluim, J.P.W.
2010
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elastix: a toolbox for intensity-based medical image registration
Klein, S., Staring, M., Murphy, K., Viergever, M.A., Pluim, J.P.W.
2010
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29
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Microvascular Determinants of Cognitive Decline and Brain Volume Change in Elderly Patients with Type 2 Diabetes.
de Bresser, J.H.J.M., Reijmer, Y.D., Van den Berg, E., Breedijk, M.A., Kappelle, L.J., Viergever, M.A., Algra, A., Brands, A.M.A., Brundel, M., van Gijn, J., Gispen, W.H., van der Grond, J., De Haan, E.H.F., van Huffelen, A.C., Jongen, C., Kessels, R.P.C., Mali, W.P.T.M., Manschot, S.M., Pluim, J.P.W., Rutten, G.E.H.M., Tiehuis, A.M., de Valk, H.W., Utrecht Diabetic Encephalopathy, x, Biessels, G.J.
2010
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30
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Arterial spin labeling perfusion MRI at multiple delay times: a correlative study with H(2)(15)O positron emission tomography in patients with symptomatic carotid artery occlusion
Bokkers, R.P.H., Bremmer, J.P., van Berckel, B.N.M., Lammertsma, A.A., Hendrikse, J., Pluim, J.P.W., Kappelle, L.J., Boellaard, R., Klijn, C.J.M.
2010
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30
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p. 222-229
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Automatic segmentation of pulmonary lobes robust against incomplete fissures
van Rikxoort, E.M., Prokop, W.M., de Hoop, B.J., Viergever, M.A., Pluim, J.P.W., van Ginneken, B.
2010
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29
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Label fusion in atlas-based segmentation using a Selective and Iterative Method for Performance Level Estimation (SIMPLE)
Langerak, T.R., van der Heide, U.A., Kotte, A.N.T.J., Viergever, M.A., van Vulpen, M., Pluim, J.P.W.
2010
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Adaptive local multi-atlas segmentation: application to the heart and the caudate nucleus
van Rikxoort, E.M., Isgum, I., Arzhaeva, Y., Staring, M., Klein, S., Viergever, M.A., Pluim, J.P.W., van Ginneken, B.
2010
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14
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Automated aortic calcium scoring on low-dose chest computed tomography
Isgum, I., Rutten, A., Prokop, W.M., Staring, M., Klein, S., Pluim, J.P.W., Viergever, M.A., van Ginneken, B.
2010
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37
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p. 714-723
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Construction of periventricular white matter hyperintensity maps by spatial normalization of the lateral ventricles
Jongen, C., van der Grond, J., Anbeek, P., Viergever, M.A., Biessels, G.J., van Huffelen, A.C., de Valk, H.W., Algra, A., Gispen, W.H., van Gijn, J., Kappelle, L.J., Manschot, S.M., Brands, A.M.A., De Haan, E.H.F., Kessels, R.P., den Berg, E.V., de Bresser, J.H.J.M., Mali, W.P.T.M., Tiehuis, A.M., on behalf of the, Utrecht Diabetic Encephalopathy Study Group, Pluim, J.P.W.
2009
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30
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Evaluation of 4D-CT lung registration
Kabus, S., Klinder, T., Murphy, K., van Ginneken, B., Lorenz, C., Pluim, J.P.W.
2009 in Evaluation of 4D-CT lung registration: Medical Image Computing and Computer-Assisted Intervention p. 747-754 (; vol. )
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Registration of cervical MRI using multifeature mutual information
Staring, M., van der Heide, U.A., Klein, S., Viergever, M.A., Pluim, J.P.W.
2009
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Label fusion using performance estimation with iterative label selection
Langerak, T.R., van der Heide, U.A., Lips, I.M., Kotte, A.N.T.J., van Vulpen, M., Pluim, J.P.W.
2009 in Label fusion using performance estimation with iterative label selection: Proceedings International Symposium on Biomedical Imaging 2009 p. 1186-1189 (; vol. )
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Image subtraction facilitates assessment of volume and density change in ground-glass opacities in chest CT
Staring, M., Pluim, J.P.W., de Hoop, B.J., Klein, S., van Ginneken, B., Gietema, H.A., Nossent, G.D., Schaefer-Prokop, C., van de Vorst, S., Prokop, W.M.
2009
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44
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Automatic segmentation of the pulmonary lobes from fissures, airways, and lung borders: evaluation of robustness against missing data
van Rikxoort, E.M., Prokop, W.M., de Hoop, B.J., Viergever, M.A., Pluim, J.P.W., van Ginneken, B.
2009 in Automatic segmentation of the pulmonary lobes from fissures, airways, and lung borders: evaluation of robustness against missing data: Medical Image Computing and Computer-Assisted Intervention p. 263-271 (; vol. )
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Enforcing stochastic inverse consistency in non-rigid image registration and matching
Yeung, S.-K., Tang, C.-K., Shi, P., Pluim, J.P.W., Viergever, M.A., Chung, C.S.
2008 in Enforcing stochastic inverse consistency in non-rigid image registration and matching: Computer Vision and Pattern Recognition p. (; vol. )
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Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information
Klein, S., van der Heide, U.A., Lips, I.M., van Vulpen, M., Staring, M., Pluim, J.P.W.
2008
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35
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Segmentation of the prostate in MR images by atlas matching
Klein, S., van der Heide, U.A., Raaymakers, B.W., Kotte, A.N.T.J., Staring, M., Pluim, J.P.W.
2007 in Segmentation of the prostate in MR images by atlas matching: International Symposium on Biomedical Imaging 2007 p. 1300-1303 (; vol. )
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Automated measurement of brain and white matter lesion volume in type 2 diabetes mellitus
Jongen, C., van der Grond, J., Kappelle, L.J., Biessels, G.J., Viergever, M.A., Pluim, J.P.W.
2007
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50
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Segmentation of the prostate in MR images by atlas matching using localised mutual information
Klein, S., van der Heide, U.A., Staring, M., Kotte, A.N.T.J., Raaymakers, B.W., Pluim, J.P.W.
2007 in Segmentation of the prostate in MR images by atlas matching using localised mutual information: XVth International Conference on the use of Computers in Radiation Therapy p. 585-589 (; vol. )
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Construction and evaluation of an average CT brain image for inter-subject registration.
Jongen, C., Pluim, J.P.W., Nederkoorn, P.J., Viergever, M.A., Niessen, W.J.
2004
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3D Appearance model for hippocampus segmentation from MRI
Klemencic, J., Pluim, J.P.W., Viergever, M.A., Schnack, H.G., Valencic, V.
2003 in 3D Appearance model for hippocampus segmentation from MRI: SPIE Medical Imaging, 2003 p. (; vol. )
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Registration, segmentation and visualization of multimodal brain images.
Viergever, M.A., Maintz, J.B.A., Niessen, W.J., Noordmans, H.J., Pluim, J.P.W., Stokking, R., Vincken, K.L.
2001
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25
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Two-step registration of subacute to hyperacute stroke MRIs.
Anbeek, P., Vincken, K.L., van Osch, M.J.P., Pluim, J.P.W., van der Grond, J., Viergever, M.A.
2001 in Two-step registration of subacute to hyperacute stroke MRIs.: Lecture notes in computer science p. 1279-1280 (; vol. )
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