The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Josien P. W. Pluim sits on this spectrum.
This scientist: 281 publications — 70th percentile
70% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Josien P. W. Pluim sits on this spectrum.
This scientist: 60 D-Index — 78th percentile
78% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Josien P. W. Pluim is affiliated with Eindhoven University of Technology in the Netherlands. Their research spans multiple disciplines primarily within medicine and computer science, focusing notably on radiology, nuclear medicine and imaging, as well as computer vision and pattern recognition.
Their work encompasses various subfields including artificial intelligence, oncology, and biomedical engineering. The main topics covered by their research include radiomics and machine learning in medical imaging, advanced MRI techniques and applications, AI in cancer detection, medical image segmentation techniques, medical imaging techniques and applications, advanced neuroimaging techniques and applications, and advanced neural network applications.
Josien P. W. Pluim has contributed extensively to scientific literature, with a significant presence in several publication venues. Frequent venues for their work include:
Among their recent publications are:
Collaborations form a notable aspect of their scientific output. Frequent coauthors working alongside Josien P. W. Pluim include:
This researcher's body of work represents a interdisciplinary approach blending medicine and technology, with a strong emphasis on the development and application of artificial intelligence methods to medical imaging problems. Their contributions are documented across diverse, often high-impact, venues in medical imaging and machine learning communities.
S. Klein;M. Staring;K. Murphy;M.A. Viergever
J.P.W. Pluim;J.B.A. Maintz;M.A. Viergever
J.P.W. Pluim;J.B.A. Maintz;M.A. Viergever
Veronika Cheplygina;Marleen de Bruijne;Josien P.W. Pluim
Korsuk Sirinukunwattana;Josien P.W. Pluim;Hao Chen;Xiaojuan Qi
Tianzi Jiang;Nassir Navab;Josien P. W. Pluim;Max A. Viergever
Mitko Veta;Josien P. W. Pluim;Paul J. van Diest;Max A. Viergever
S. Klein;M. Staring;J.P.W. Pluim
Stefan Klein;Uulke A. van der Heide;Irene M. Lips;Marco van Vulpen
Mitko Veta;Paul J. van Diest;Stefan M. Willems;Haibo Wang
Stefan Klein;Josien P. Pluim;Marius Staring;Max A. Viergever
K. Murphy;B. van Ginneken;J. M. Reinhardt;S. Kabus
Josien P.W. Pluim;J.B. Antoine Maintz;Max A. Viergever
Mitko Veta;Paul J. van Diest;Robert Kornegoor;André Huisman
Jiong Zhang;Behdad Dashtbozorg;Erik Bekkers;Josien P. W. Pluim
Suprosanna Shit;Johannes C. Paetzold;Anjany Sekuboyina;Ivan Ezhov
Max A. Viergever;J.B. Antoine Maintz;Stefan Klein;Keelin Murphy
Thomas Robin Langerak;U A van der Heide;A N T J Kotte;M A Viergever
Mitko Veta;Yujing J. Heng;Nikolas Stathonikos;Babak Ehteshami Bejnordi
J.A.G. Nijhuis;M.H. Ter Brugge;K.A. Helmholt;J.P.W. Pluim
J.P.W. Pluim;J.M. Fitzpatrick
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