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Journal Article (71)

  1. 2010
    Journal Article
    Shiee, N.; Bazin, P.-L.; Ozturk, A.; Calabresi, P. A.; Reich, D. S.; Pham, D. L.: A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions. Neuroimage 49 (2), pp. 1524 - 1535 (2010)
  2. Journal Article
    Pham, D. L.; Bazin, P.-L.; Prince, J. L.: Digital Topology in Brain Imaging: Creating anatomically consistent representations of the human brain. IEEE Signal Processing Magazine 27 (4), pp. 51 - 59 (2010)
  3. 2009
    Journal Article
    Landman, B. A.; Bazin, P.-L.; Smith, S. A.; Prince, J. L. .: Robust Estimation of Spatially Variable Noise Field. Magnetic Resonance in Medicine 62 (2), pp. 500 - 509 (2009)
  4. Journal Article
    Landman, B. A.; Bazin, P.-L.; Prince, J. L.: Estimation and Application of Spatially Variable Noise Fields in Diffusion Tensor Imaging. Magnetic Resonance Imaging 27 (6), pp. 741 - 751 (2009)
  5. 2008
    Journal Article
    Bazin, P.-L.; Pham, D. L.: Homeomorphic brain image segmentation with topological and statistical atlases. Medical Image Analysis 12 (5), pp. 616 - 625 (2008)
  6. 2007
    Journal Article
    Bazin, P.-L.; Cuzzocreo, J. L.; Yassa, M. A.; Gandler, W.; McAuliffe, M. J.; Bassett, S. S.; Pham, D. L.: Volumetric Neuroimage Analysis Extensions for the MIPAV Software Package. Journal of Neuroscience Methods 165 (1), pp. 111 - 121 (2007)
  7. Journal Article
    Bazin, P.-L.; Pham, D. L.: Topology Correction of Segmented Medical Images using a Fast Marching Algorithm. Computer Methods and Programs in Biomedicine 88 (2), pp. 182 - 190 (2007)
  8. Journal Article
    Bazin, P.-L.; Pham, D. L.: Topology-Preserving Tissue Classification of Magnetic Resonance Brain Images. IEEE Transactions on Medical Imaging 26 (4), pp. 487 - 496 (2007)
  9. 2005
    Journal Article
    Bazin, P.-L.; Vézien, J.-M.: Integration of Geometric Elements, Euclidean Relations and Motion Curves for Parametric Shape and Motion Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (12), pp. 1960 - 1976 (2005)
  10. 2004
    Journal Article
    Bazin, P.-L.; Boutin, M.: Structure from Motion: Theoretical Foundations of a Novel Approach Using Custom Built Invariants. SIAM Journal of Applied Mathematics 64 (4), pp. 1156 - 1174 (2004)
  11. 2001
    Journal Article
    Bazin, P.-L.; Vézien, J.-M.: Shape and Motion Estimation from Geometry and Motion Modeling. IEICE - Transactions on Information and Systems E84-D (12), pp. 1612 - 1619 (2001)

Book Chapter (3)

  1. 2019
    Book Chapter
    Kozlov, M.; Kalloch, B.; Horner, M.; Bazin, P.-L.; Weiskopf, N.; Möller, H. E.: Patient-specific RF safety assessment in MRI: Progress in creating surface-based human head and shoulder models. In: Brain and human body modeling: Computational human modeling at EMBC 2018. Springer, Cham (2019)
  2. 2011
    Book Chapter
    Bazin, P.-L.; Shiee, N.; Ellingsen, L. M.; Jerry L. , P.; Dzung L. , P.: Digital topology in brain image segmentation and registration. In: Multi modality state-of-the-art medical image segmentation and registration methodologies, Vol. 1, pp. 339 - 375 (Eds. El-Baz, A. S.; Acharya U., R.; Laine, A. F.). Springer, New York (2011)
  3. 2009
    Book Chapter
    Pham, D. L.; Bazin, P.-L.: Unsupervised Tissue Classification. In: Handbook of Medical Image Processing and Analysis, pp. 209 - 222. Elsevier (2009)

Conference Paper (42)

  1. 2018
    Conference Paper
    Kozlov, M.; Bode, J.; Bazin, P.-L.; Kalloch, B.; Weiskopf, N.; Möller, H. E.: Building a high resolution surface-based human head and torso model for evaluation of specific absorption rates in MRI. In: 2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS). (2018)
  2. Conference Paper
    Thierbach, K.; Bazin, P.-L.; de Back, W.; Gavriilidis, F.; Kirilina, E.; Jäger, C.; Morawski, M.; Geyer, S.; Weiskopf, N.; Scherf, N.: Combining deep learning and active contours opens the way to robust, automated analysis of brain cytoarchitectonics. In: Machine Learning in Medical Imaging 2018, pp. 179 - 187. 9th International Workshop on Machine Learning in Medical Imaging, Granada, Spain, September 16, 2018. Springer, Cham (2018)
  3. 2017
    Conference Paper
    Kozlov, M.; Bode, J.; Bazin, P.-L.; Weiskopf, N.; Möller, H. E.; Shajan, G.: Comparison of 7T 16-channel dual-row transmit arrays. In: Proceedings of the 2017 International Conference on Electromagnetics in Advanced Applications (ICEAA). (2017)
  4. 2016
    Conference Paper
    Orasanu, E.; Bazin, P.-L.; Melbourne, A.; Lorenzi, M.; Lombaert, H.; Robertson, N. J.; Kendall, G.; Weiskopf, N.; Marlow, N.; Ourselin, S.: Longitudinal analysis of the preterm cortex using multi-modal spectral matching. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I, pp. 255 - 263 (Eds. Ourselin, S.; Joskowicz, L.; Sabuncu, M. R.; Unal, G.; Wells, W.). Spinger, Cham (2016)
  5. Conference Paper
    Kozlov, M.; Bazin, P.-L.; Weiskopf, N.; Möller, H. E.: Effects of the geometry and size of the cerebrospinal fluid on MRI transmit and safety efficiencies at 300 MHz. In: Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2909 - 2912. The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16) , Orlando, FL, USA, August 16, 2016 - August 20, 2016. (2016)
  6. Conference Paper
    Kozlov, M.; Bazin, P.-L.; Möller, H. E.; Weiskopf, N.: Influence of cerebrospinal fluid on specific absorption rate generated by 300 MHz MRI transmit array. In: Proceedings of 10th European Conference on Antennas and Propagation (EuCAP). 10th European Conference on Antennas and Propagation (EuCAP), Davos, Switzerland, April 10, 2016 - April 15, 2016. IEEE, Piscataway (2016)
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