Harvard Catalyst Profiles

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Koen Van Leemput, Ph.D.

Concepts

This page shows the publications Koen Van Leemput has written about Artificial Intelligence.
Connection Strength

0.572
  1. Van Leemput K, Bakkour A, Benner T, Wiggins G, Wald LL, Augustinack J, Dickerson BC, Golland P, Fischl B. Model-based segmentation of hippocampal subfields in ultra-high resolution in vivo MRI. Med Image Comput Comput Assist Interv. 2008; 11(Pt 1):235-43.
    View in: PubMed
    Score: 0.245
  2. Sabuncu MR, Van Leemput K. The relevance voxel machine (RVoxM): a self-tuning Bayesian model for informative image-based prediction. IEEE Trans Med Imaging. 2012 Dec; 31(12):2290-306.
    View in: PubMed
    Score: 0.085
  3. Van Leemput K. Encoding probabilistic brain atlases using Bayesian inference. IEEE Trans Med Imaging. 2009 Jun; 28(6):822-37.
    View in: PubMed
    Score: 0.065
  4. Van Leemput K, Van den Bulcke T, Dhollander T, De Moor B, Marchal K, van Remortel P. Exploring the operational characteristics of inference algorithms for transcriptional networks by means of synthetic data. Artif Life. 2008; 14(1):49-63.
    View in: PubMed
    Score: 0.061
  5. Michoel T, Maere S, Bonnet E, Joshi A, Saeys Y, Van den Bulcke T, Van Leemput K, van Remortel P, Kuiper M, Marchal K, Van de Peer Y. Validating module network learning algorithms using simulated data. BMC Bioinformatics. 2007 May 03; 8 Suppl 2:S5.
    View in: PubMed
    Score: 0.058
  6. Iglesias JE, Sabuncu MR, Van Leemput K. Improved inference in Bayesian segmentation using Monte Carlo sampling: application to hippocampal subfield volumetry. Med Image Anal. 2013 Oct; 17(7):766-78.
    View in: PubMed
    Score: 0.022
  7. Augustinack JC, Huber KE, Stevens AA, Roy M, Frosch MP, van der Kouwe AJ, Wald LL, Van Leemput K, McKee AC, Fischl B. Predicting the location of human perirhinal cortex, Brodmann's area 35, from MRI. Neuroimage. 2013 Jan 01; 64:32-42.
    View in: PubMed
    Score: 0.021
  8. Van den Bulcke T, Van Leemput K, Naudts B, van Remortel P, Ma H, Verschoren A, De Moor B, Marchal K. SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms. BMC Bioinformatics. 2006 Jan 26; 7:43.
    View in: PubMed
    Score: 0.013
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.