Harvard Catalyst Profiles

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Koen Van Leemput, Ph.D.

Concepts

This page shows the publications Koen Van Leemput has written about Alzheimer Disease.
Connection Strength

0.174
  1. 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: 0.041
  2. Iglesias JE, Sabuncu MR, Van Leemput K. Incorporating parameter uncertainty in Bayesian segmentation models: application to hippocampal subfield volumetry. Med Image Comput Comput Assist Interv. 2012; 15(Pt 3):50-7.
    View in: PubMed
    Score: 0.037
  3. Van Leemput K, Bakkour A, Benner T, Wiggins G, Wald LL, Augustinack J, Dickerson BC, Golland P, Fischl B. Automated segmentation of hippocampal subfields from ultra-high resolution in vivo MRI. Hippocampus. 2009 Jun; 19(6):549-57.
    View in: PubMed
    Score: 0.031
  4. Fischl B, Stevens AA, Rajendran N, Yeo BT, Greve DN, Van Leemput K, Polimeni JR, Kakunoori S, Buckner RL, Pacheco J, Salat DH, Melcher J, Frosch MP, Hyman BT, Grant PE, Rosen BR, van der Kouwe AJ, Wiggins GC, Wald LL, Augustinack JC. Predicting the location of entorhinal cortex from MRI. Neuroimage. 2009 Aug 01; 47(1):8-17.
    View in: PubMed
    Score: 0.031
  5. Saygin ZM, Kliemann D, Iglesias JE, van der Kouwe AJW, Boyd E, Reuter M, Stevens A, Van Leemput K, McKee A, Frosch MP, Fischl B, Augustinack JC. High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas. Neuroimage. 2017 07 15; 155:370-382.
    View in: PubMed
    Score: 0.013
  6. Iglesias JE, Augustinack JC, Nguyen K, Player CM, Player A, Wright M, Roy N, Frosch MP, McKee AC, Wald LL, Fischl B, Van Leemput K. A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI. Neuroimage. 2015 Jul 15; 115:117-37.
    View in: PubMed
    Score: 0.012
  7. 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: 0.010
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.