Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Koen Van Leemput, Ph.D.

Concepts

This page shows the publications Koen Van Leemput has written about Magnetic Resonance Imaging.
Connection Strength

0.594
  1. Eugenio Iglesias J, Rory Sabuncu M, Van Leemput K. A unified framework for cross-modality multi-atlas segmentation of brain MRI. Med Image Anal. 2013 Dec; 17(8):1181-91.
    View in: PubMed
    Score: 0.088
  2. Iglesias JE, Sabuncu MR, Van Leemput K. A probabilistic, non-parametric framework for inter-modality label fusion. Med Image Comput Comput Assist Interv. 2013; 16(Pt 3):576-83.
    View in: PubMed
    Score: 0.084
  3. Sabuncu MR, Van Leemput K. The Relevance Voxel Machine (RVoxM): a Bayesian method for image-based prediction. Med Image Comput Comput Assist Interv. 2011; 14(Pt 3):99-106.
    View in: PubMed
    Score: 0.073
  4. 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: 0.065
  5. Van Leemput K. Encoding probabilistic brain atlases using Bayesian inference. IEEE Trans Med Imaging. 2009 Jun; 28(6):822-37.
    View in: PubMed
    Score: 0.063
  6. Jog A, Hoopes A, Greve DN, Van Leemput K, Fischl B. PSACNN: Pulse sequence adaptive fast whole brain segmentation. Neuroimage. 2019 10 01; 199:553-569.
    View in: PubMed
    Score: 0.033
  7. 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: 0.028
  8. Fuin N, Pedemonte S, Catalano OA, Izquierdo-Garcia D, Soricelli A, Salvatore M, Heberlein K, Hooker JM, Van Leemput K, Catana C. PET/MRI in the Presence of Metal Implants: Completion of the Attenuation Map from PET Emission Data. J Nucl Med. 2017 05; 58(5):840-845.
    View in: PubMed
    Score: 0.028
  9. 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: 0.025
  10. 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: 0.020
  11. 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: 0.020
  12. 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: 0.016
  13. Sabuncu MR, Yeo BT, Van Leemput K, Vercauteren T, Golland P. Asymmetric image-template registration. Med Image Comput Comput Assist Interv. 2009; 12(Pt 1):565-73.
    View in: PubMed
    Score: 0.016
  14. Autti TH, Hämäläinen J, Mannerkoski M, Van Leemput KV, Aberg LE. JNCL patients show marked brain volume alterations on longitudinal MRI in adolescence. J Neurol. 2008 Aug; 255(8):1226-30.
    View in: PubMed
    Score: 0.015
  15. 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: 0.015
  16. 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: 0.005
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.