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prof. dr. J.P.W. Pluim

prof. dr. J.P.W. Pluim

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

Research Programs

Cancer

Biography

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 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.

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 post-master programmes School of Medical Physics & Engineering, TU/e, 2015 → …

Bestuur Institute for Diagnostic and Interventional Imaging, 2015 → …

Associate Editor Medical Image Analysis, 2008 → …

 

Fellowship and Awards

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

Fellow of the IEEE Society 

Research Output (194)

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 25 Aug 2023, In: NMR in Biomedicine. 36

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 22 Mar 2023, In: Surgical endoscopy. 37 , p. 5164-5175 12 p.

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 24 Feb 2023, In: European Journal of Cancer. 185 , p. 167-177 11 p.

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 , p. 1-19 19 p.

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 p.

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

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 9 Sep 2022, In: European Journal of Cancer. 175 , p. 60-76 17 p.

Insights from the IronTract challenge:Optimal methods for mapping brain pathways from multi-shell diffusion MRI

Maffei Chiara, Girard Gabriel, Schilling Kurt G, Aydogan Dogu Baran, Adluru Nagesh, Zhylka Andrey, Wu Ye, Mancini Matteo, Hamamci Andac, Sarica Alessia, Teillac Achille, Baete Steven H, Karimi Davood, Yeh Fang-Cheng, Yildiz Mert E, Gholipour Ali, Bihan-Poudec Yann, Hiba Bassem, Quattrone Andrea, Quattrone Aldo, Boshkovski Tommy, Stikov Nikola, Yap Pew-Thian, de Luca Alberto, Pluim Josien, Leemans Alexander, Prabhakaran Vivek, Bendlin Barbara B, Alexander Andrew L, Landman Bennett A, Canales-Rodríguez Erick J, Barakovic Muhamed, Rafael-Patino Jonathan, Yu Thomas, Rensonnet Gaëtan, Schiavi Simona, Daducci Alessandro, Pizzolato Marco, Fischi-Gomez Elda, Thiran Jean-Philippe, Dai George, Grisot Giorgia, Lazovski Nikola, Puch Santi, Ramos Marc, Rodrigues Paulo, Prčkovska Vesna, Jones Robert, Lehman Julia, Haber Suzanne N, 15 Aug 2022, In: NeuroImage. 257 , p. 1-17

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 4 Aug 2022, In: Surgical endoscopy. 36 , p. 8737-8752 16 p.

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. 1 Jun 2022, In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 69 , p. 2115-2128 14 p.

All research output

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