Koen's picture

Koen Van Leemput, Ph.D.

Athinoula A. Martinos Center for Biomedical Imaging
Department of Radiology, Massachusetts General Hospital
149 Thirteenth Street, Suite 2301
Charlestown, MA 02129 USA

Department of Informatics and Mathematical Modeling
Technical University of Denmark
Richard Petersens Plads, Building 321
2800 Lyngby, Denmark

Departments of Information and Computer Science
and Biomedical Engineering and Computational Science
Aalto University, School of Science
02150 Espoo, Finland



New: MICCAI challenge on multimodal brain tumor segmentation
BRATS logo MICCAI2012 logo




Short bio

I am an academic with a focus on computational analysis of medical images using Bayesian modeling. I obtained my PhD degree from the medical image computing group in Leuven, Belgium, in 2001. After spending half a year as a visiting researcher at the Helsinki University of Technology, Finland, in 2001, I joined the staff of the Helsinki University Central Hospital, Finland, in 2002. Since 2007 I am a faculty member at the Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, and since 2011 also at the Department of Informatics and Mathematical Modeling, Technical University of Denmark. From 2011 until 2014 I am a fellow of the Finland Distinguished Professor Program at the Aalto University School of Science; between 2007 and 2011 I was also a research scientist at the MIT Computer Science and Artificial Intelligence Laboratory.

I serve as an associate editor of the IEEE Transactions on Medical Imaging, as a member of the editorial board of the Medical Image Analysis Journal, and as a reviewer for several international medical imaging journals and conferences. I am also a past associate editor of the IEEE Transactions on Information Technology in Biomedicine (2002-2005).

Software

People

  • Christian Thode Larsen
  • Oula Puonti
  • Stefano Pedemonte (post-doc)

Teaching


Selected publications   [More...]

Improved Inference in Bayesian Segmentation Using Monte Carlo Sampling: Application to Hippocampal Subfield Volumetry

J. E. Iglesias, M. R. Sabuncu, K. Van Leemput

Medical Image Analysis, 2013 (accepted)

The Relevance Voxel Machine (RVoxM): A Self-tuning Bayesian Model for Informative Image-based Prediction

M.R. Sabuncu and K. Van Leemput

IEEE Transactions on Medical Imaging, vol. 31, no. 12, pp. 2290-2306, December 2012

Automated Segmentation of Hippocampal Subfields from Ultra-High Resolution In Vivo MRI

K. Van Leemput, A. Bakkour, T. Benner, G. Wiggins, L.L. Wald, J. Augustinack, B.C. Dickerson, P. Golland, B. Fischl

Hippocampus, vol. 19, no. 6, pp. 549-557, June 2009

Encoding Probabilistic Brain Atlases Using Bayesian Inference

K. Van Leemput

IEEE Transactions on Medical Imaging, vol. 28, no. 6, pp. 822-837, June 2009


A Unifying Framework for Partial Volume Segmentation of Brain MR Images

K. Van Leemput, F. Maes, D. Vandermeulen, P. Suetens

IEEE Transactions on Medical Imaging, vol. 22, no. 1, pp. 105-119, January 2003

Automated Segmentation of Multiple Sclerosis Lesions by Model Outlier Detection

K. Van Leemput, F. Maes, D. Vandermeulen, A. Colchester, P. Suetens

IEEE Transactions on Medical Imaging, vol. 20, no. 8, pp. 677-688, August 2001

Automated Model-Based Tissue Classification of MR Images of the Brain

K. Van Leemput, F. Maes, D. Vandermeulen, P. Suetens

IEEE Transactions on Medical Imaging, vol. 18, no. 10, pp. 897-908, October 1999

Automated Model-Based Bias Field Correction of MR Images of the Brain

K. Van Leemput, F. Maes, D. Vandermeulen, P. Suetens

IEEE Transactions on Medical Imaging, vol. 18, no. 10, pp. 885-896, October 1999