prof. dr. J.P.W. Pluim
Full Professor
- Imaging Division
Contact
Biography
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 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.
Side Activities
Professor of Medical Image Analysis at Eindhoven University of Technology
Vice dean Department of Biomedical Engineering, TU/e, 1 Nov 2019 → …
NWO-ENW Disciplinaire Adviescommissie Informatica, 2018 → …
Adviesraad Analytic Imaging Diagnostics Arena (AIDA), Sweden, 2017 → …
Executive Board MICCAI Society, 2017 → …
Adviesraad post-master programmes School of Medical Physics & Engineering, TU/e, 2015 → …
Bestuur Institute for Diagnostic and Interventional Imaging, 2015 → …
Core Team Strategic Area Health, TU/e, 2014 → …
Board MICCAI Society, 2013 → 2017
Associate Editor Medical Image Analysis, 2008 → …
Adviesraad BSc+MSc programmes Computing Science, Rijksuniversiteit Groningen, 2007 → …
Associate Editor IEEE Transactions on Medical Imaging, 2003 → …
Fellowship and Awards
Elected Fellow of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society.
Research Output (160)
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. 1 aug 2020, In: Magnetic Resonance in Medicine. 84 , p. 1000-1010 11 p.
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. mei 2020, In: Magnetic Resonance in Medicine. 83 , p. 1796-1809 14 p.
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 26 dec 2019, In: Medical Physics. 47 , p. 1238-1248 11 p.
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 15 okt 2019, In: Journal of Medical Imaging. 6
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 , p. 425-435 11 p.
Automatic classification of focal liver lesions based on MRI and risk factors
Jansen MJA, Kuijf HJ, Veldhuis WB, Wessels FJ, Viergever MA, Pluim JPW 16 mei 2019, In: PLoS ONE. 14 13 p.
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. 1 mei 2019, In: Medical Image Analysis. 54 , p. 111-121 11 p.
Not-so-supervised:A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Cheplygina Veronika, de Bruijne Marleen, Pluim Josien P.W. 1 mei 2019, In: Medical Image Analysis. 54 , p. 280-296 17 p.
Pulmonary CT Registration Through Supervised Learning With Convolutional Neural Networks
Eppenhof Koen A.J., Pluim Josien P.W. 1 mei 2019, In: IEEE transactions on medical imaging. 38 , p. 1097-1105 9 p.
Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation
Jansen MJA, Kuijf HJ, Pluim JPW 1 jan 2019,