• 8082 Citations
19952019
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Personal profile

Research profile

Josien Pluim is full professor of Medical Imaging at the department of Biomedical Engineering, where she heads the research group Medical Image Analysis (IMAG/e). She is also a part-time professor of Medical Image Analysis at Utrecht University, affiliated with the Image Sciences Institute, an interdisciplinary research institute at the University Medical Center Utrecht.

Her field of interest is medical image analysis in a broad sense, although her focus is on image registration, digital pathology and image analysis for oncology. Both the theoretical side of method development and the applied side of working on medical problems appeal to her.

Academic background

Josien Pluim studied Computer Science at the University of Groningen (The Netherlands) and graduated in 1996, specializing in Scientific Computing and Imaging. The research for her master's thesis was carried out at the Image Sciences Institute of the University Medical Center Utrecht (The Netherlands), where she decided to stay for PhD research on multimodality image registration, focusing on mutual information as the registration measure. After obtaining her PhD degree in 2001, she continued as an assistant professor (and later associate professor) in the same group, shortly interrupted by a stint at the Image Processing and Analysis Group of Yale University (USA). In 2014, she was appointed full Professor of Medical Imaging at the Department of Biomedical Engineering of Eindhoven University of Technology (TU/e, The Netherlands). In 2015, she was appointed part-time professor of Medical Image Analysis at the Image Sciences Institute of UMC Utrecht.

Josien Pluim is a member of the advisory council of Computing Science at the University of Groningen and a participant in Spiegelbeeld, a role model programme to interest girls in exact sciences. Furthermore, she is an associate editor of five journals (IEEE TMI, IEEE TBME, Medical Image Analysis, Medical Physics and Journal of Medical Imaging), was programme chair of several international conferences (SPIE Medical Imaging – Image Processing 2006-2009, WBIR 2006, MICCAI 2010) and is a member of the MICCAI Board.

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Research Output 1995 2019

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

Heslinga, F., Pluim, J., Dasht Bozorg, B., Berendschot, T., Houben, B., Henry, R. M. A. & Veta, M., 15 Mar 2019, Proc. SPIE 10949: Image Processing. Bellingham: SPIE, 7 p. doi: 10.1117/12.2512393

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
Biomarkers
Image analysis
Pipelines
Neural networks
Chemical activation

Benchmark on automatic 6-month-old infant brain segmentation algorithms: The iSeg-2017 Challenge

Wang, L., Nie, D., Li, G., Puybareau, E., Dolz, J., Zhang, Q., Wang, F., Xia, J., Wu, Z., Chen, J., Thung, K-H., Bui, T. D., Shin, J., Zeng, G., Zheng, G., Fonov, V. S., Doyle, A., Xu, Y., Moeskops, P., Pluim, J. P. W. & 9 othersDesrosiers, C., Ayed, I. B., Sanroma, G., Benkarim, O. M., Casamitjana, A., Vilaplana, V., Lin, W., Li, G. & Shen, D., 27 Feb 2019, In : IEEE Transactions on Medical Imaging.

Research output: Contribution to journalArticleAcademicpeer-review

Benchmarking
Brain
Magnetic resonance
Magnetic Resonance Spectroscopy
Cerebrospinal fluid

Convolutional neural network-based regression for quantification of brain characteristics using MRI

Fernandes, J., Alves, V., Khalili, N., Benders, M. J. N. L., Išgum, I., Pluim, J. & Moeskops, P., 1 Jan 2019, New Knowledge in Information Systems and Technologies - Volume 2. Rocha, Á., Costanzo, S., Adeli, H. & Reis, L. P. (eds.). Springer, p. 577-586 10 p. (Advances in Intelligent Systems and Computing; vol. 931)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Magnetic resonance imaging
Brain
Neural networks
Rats
Tissue

Convolutional neural networks for segmentation of the left atrium from gadolinium-enhancement MRI images

de Vente, C., Veta, M., Razeghi, O., Niederer, S., Pluim, J., Rhode, K. & Karim, R., 14 Feb 2019, 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. Li, S., McLeod, K., Young, A., Rhode, K., Pop, M., Zhao, J., Mansi, T. & Sermesant, M. (eds.). Cham: Springer, p. 348-356 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11395 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Gadolinium
Magnetic resonance
Convolution
Magnetic resonance imaging
Segmentation

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

Ning, L., Bonet-Carne, E., Grussu, F., Sepehrband, F., Kaden, E., Veraart, J., Blumberg, S. B., Khoo, C. S., Palombo, M., Coll-Font, J., Scherrer, B., Warfield, S. K., Karayumak, S. C., Rathi, Y., Koppers, S., Weninger, L., Ebert, J., Merhof, D., Moyer, D., Pietsch, M. & 11 othersChristiaens, D., Teixeira, R., Tournier, J-D., Zhylka, A., Pluim, J., Parker, G., Rudrapatna, U., Evans, J., Charron, C., Jones, D. K. & Tax, C. W. M., 2019 4 p.

Research output: Contribution to conferenceAbstractAcademic

Courses

Images

1/09/1531/08/19

Course

Project Imaging - BIA

1/09/14 → …

Course

Impacts

Brain Image Analysis

Josien P.W. Pluim (Content manager), Rina van Dijck - Postma (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager)

Impact: Research Topic/Theme (at group level)

Cardiovascular Image Analysis

Josien P.W. Pluim (Content manager), Rina van Dijck - Postma (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager)

Impact: Research Topic/Theme (at group level)

Crowdsourcing for Medical Image Analysis

Josien P.W. Pluim (Content manager), Rina van Dijck - Postma (Administrative support), Lieke van Gorp (Content manager), Amy Broeders (Content manager)

Impact: Research Topic/Theme (at group level)

Histopathology Image Analysis

Josien P.W. Pluim (Content manager), Rina van Dijck - Postma (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager)

Impact: Research Topic/Theme (at group level)

Image Registration

Josien P.W. Pluim (Content manager), Rina van Dijck - Postma (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager)

Impact: Research Topic/Theme (at group level)

Student theses

Analyzing the relation between brain lesions and short association fibers using diffusion MRI

Author: Kamps, J., Jun 2017

Supervisor: Sepasian, N. (Supervisor 1), Fuster, A. (Supervisor 2) & Pluim, J. (Supervisor 2)

Student thesis: Master

Automated spinous process segmentation in X-ray images using convolutional neural networks

Author: Roodhorst, S., 17 Dec 2018

Supervisor: Pluim, J. (Supervisor 1) & Walsum, van, T. (External person) (External coach)

Student thesis: Master

Clustered tumor phenotypes and resectability prediction for PDA using radiomic feature analysis

Author: Janse, M. H., 27 Sep 2018

Supervisor: de With, P. (Supervisor 1), Pluim, J. (Supervisor 2), Zinger, S. (Supervisor 2) & Hermans, J. (External person) (External coach)

Student thesis: Master

Computer aided detection and quantification of brain micro-bleeds in traumatic brain injury patients

Author: van den Heuvel, T., 31 Jan 2015

Supervisor: ter Haar Romenij, B. (Supervisor 1), Pluim, J. (Supervisor 2) & Platel, B. (Supervisor 2)

Student thesis: Master

Convolutional neural networks for detection of metastases in patients diagnosed with breast cancer

Author: Nijhof, T., 25 Jan 2018

Supervisor: Pluim, J. (Supervisor 1)

Student thesis: Master