Drs. Denis Shamonin

Scientific programmer

Vakgebied(en)

  • Pulmonary image processing and quantification
  • Visualization and analysis algorithms for clinical applications

Introductie

Denis P. Shamonin received master's degree in Applied Mathematics, St. Petersburg State Marine Technical University,Dept. of Applied Mathematics in 2002. After graduation he accepted a scientific programmer position at University of Amsterdam,Section Computational Science.

Denis joined LKEB in 2005 and started working on the automated analysis and quantification of Emphysema in CT images.


Publications

  • D.P. Shamonin, M. Staring, M.E. Bakker, C. Xiao, J. Stolk, J.H.C. Reiber and B.C. Stoel, "Automatic Lung Lobe Segmentation of COPD Patients using Iterative B-Spline Fitting," SPIE Medical Imaging: Image Processing, Proceedings of SPIE, vol. , San Diego, California, USA, February 2012,
  • C. Xiao, M. Staring, D.P. Shamonin, J.H.C. Reiber, J. Stolk and B.C. Stoel, "A Strain Energy Filter for 3D Vessel Enhancement," Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science, vol. 6363, pp. 367 - 374, 2010.
  • M. Staring, M.E. Bakker, D.P. Shamonin, J. Stolk, J.H.C. Reiber and B.C. Stoel, "Towards Local Estimation of Emphysema Progression Using Image Registration," SPIE Medical Imaging: Image Processing, Proceedings of SPIE, vol. 7259, pp. 72590O, Orlando, Florida, USA, February 2009.
  • M. Staring, J. Stolk, M.E. Bakker, D.P. Shamonin, J.H.C. Reiber and B.C. Stoel, "Local progression estimation of pulmonary emphysema using image matching," European Respiratory Society Annual Congress, Vienna, Austria, September 2009.
  • Lilit Abrahamyan, Jorrit A. Schaap, Alfons G. Hoekstra, Denis P. Shamonin, Frieke M. A. Box, Rob J. van der Geest, Johan H. C. Reiber, Peter M. A. Sloot. A Problem Solving Environment for Image-Based Computational Hemodynamics. International Conference on Computational Science (1)'2005. pp.287~294
  • Alfredo Tirado-Ramos, Hans Ragas, Denis P. Shamonin, Herbert Rosmanith, Dieter Kranzlmüller. Integration of Blood Flow Visualization on the Grid: The FlowFish/GVK Approach. European Across Grids Conference'2004. pp.77~79


Contactgegevens

Leids Universitair Medisch Centrum
Gebouw 1
Kamer C3-Q 53

Albinusdreef 2
2333 ZA Leiden
Tel: +31 (0) 71 526 2137

Postzone C2-S
Postbus 9600
2300 RC Leiden

E-mail: D.P.Shamonin@lumc.nl