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Denis P. Shamonin
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2020 – today
- 2024
- [j4]Tahereh Hassanzadeh
, Denis P. Shamonin, Yanli Li
A deep learning-based comparative MRI model to detect inflammatory changes in rheumatoid arthritis. Biomed. Signal Process. Control. 88(Part A): 105612 (2024) - [i1]Yanli Li, Tahereh Hassanzadeh, Denis P. Shamonin, Monique Reijnierse, Annette H. M. van der Helm-van Mil, Berend C. Stoel:
Integrated feature analysis for deep learning interpretation and class activation maps. CoRR abs/2407.01142 (2024)
2010 – 2019
- 2019
- [c8]Shengnan Liu, Denis P. Shamonin, Guillaume Zahnd, Anton F. W. van der Steen, Theo van Walsum
Healthy Vessel Wall Detection Using U-Net in Optical Coherence Tomography. MLMECH/CVII-STENT@MICCAI 2019: 184-192 - 2013
- [j3]Denis P. Shamonin, Esther Bron
Fast Parallel Image Registration on CPU and GPU for Diagnostic Classification of Alzheimer's Disease. Frontiers Neuroinformatics 7: 50 (2013) - [j2]Changyan Xiao, Marius Staring
Multiscale Bi-Gaussian Filter for Adjacent Curvilinear Structures Detection With Application to Vasculature Images. IEEE Trans. Image Process. 22(1): 174-188 (2013) - [c7]Changyan Xiao, Marius Staring
A derivative of stick filter for pulmonary fissure detection in CT images. Image Processing 2013: 86690V - 2012
- [c6]Denis P. Shamonin, Marius Staring
Automatic lung lobe segmentation of COPD patients using iterative B-spline fitting. Image Processing 2012: 83140W - 2011
- [j1]Changyan Xiao, Marius Staring
A strain energy filter for 3D vessel enhancement with application to pulmonary CT images. Medical Image Anal. 15(1): 112-124 (2011) - 2010
- [c5]Changyan Xiao, Marius Staring
A Strain Energy Filter for 3D Vessel Enhancement. MICCAI (3) 2010: 367-374
2000 – 2009
- 2009
- [c4]Marius Staring
Towards local estimation of emphysema progression using image registration. Image Processing 2009: 72590O - 2005
- [c3]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: 287-294 - 2004
- [c2]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: 77-79 - 2000
- [c1]Elena V. Zudilova, Denis P. Shamonin:
Creating DEMO Presentations on the Base of Visualization Model. HPCN Europe 2000: 460-466
Coauthor Index
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