prof. dr. J.P.W. Pluim Full Professor

Imaging Division

Contact

jpluim@umcutrecht.nl

Research programs

Cancer

Biography
Side Activities
Research Output
Fellowship and Awards

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 → …

Research Output

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 Oct 2019 In: Journal of Medical Imaging. 6

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 May 2019 In: PLoS ONE. 14 13 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 May 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 May 2019 In: IEEE transactions on medical imaging. 38, p. 1097-1105 9 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 May 2019 In: Medical Image Analysis. 54, p. 111-121 11 p.

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 1 Jan 2019 p. 577-586 10 p.

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 1 Jan 2019

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. 1 Jan 2019 p. 217-224 8 p.

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 1 Jan 2019 p. 348-356 9 p.

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

Jansen MJA, Kuijf HJ, Pluim JPW 2019

All Research Output (154)

Fellowship and Awards

Elected Fellow of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society.