Josien Pluim
Department
Group
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 or was 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 was a member of the MICCAI Board.
Recent Publications
-
Yasmina Al Khalil,Sina Amirrajab,Cristian Lorenz,Jürgen Weese,Josien 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 Analysis (2023) -
Navchetan Awasthi,Hans Martin Schwab,Josien P.W. Pluim,Richard G.P. Lopata
Bandwidth Improvement in Ultrasound Image Reconstruction Using Deep Learning Techniques
Healthcare (Switzerland) (2023) -
R.B. den Boer,C. de Jongh,W.T.E. Huijbers,T. J.M. Jaspers,J.P.W. Pluim,R. van Hillegersberg,M. van Eijnatten,J.P. Ruurda
Computer-aided anatomy recognition in intrathoracic and -abdominal surgery
Surgical Endoscopy (2022) -
Laurens S. ter Maat,Isabella A.J. van Duin,Sjoerd G. Elias,Paul J. van Diest,Josien P.W. Pluim,Joost J.C. Verhoeff,Pim A. de Jong,Tim Leiner,Mitko Veta,Karijn P.M. Suijkerbuijk
Imaging to predict checkpoint inhibitor outcomes in cancer. A systematic review
European Journal of Cancer (2022) -
Sina Amirrajab,Yasmina Al Khalil,Cristian Lorenz,Jürgen Weese,Josien Pluim,Marcel Breeuwer
Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks
Computerized Medical Imaging and Graphics (2022)
- DBL Image Analysis for cancer risk assessment
- Team challenge in medical imaging
- Radiofrequency fields in MRI
- Capita selecta in medical image analysis
- Project Imaging - BIA
- Imaging
Ancillary Activities
- NWO-ENW Disciplinaire Adviescommissie Informatica, NWO-ENW
- hoogleraar Medische Beeldanalyse (sinds 01-05-2015), Universiteit Utrecht / UMC Utrecht