Hamed Hamid Muhammed

Orcid: 0000-0002-1831-9285

According to our database1, Hamed Hamid Muhammed authored at least 13 papers between 2001 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2017
Corrigendum to "Automatic Characterization of the Physiological Condition of the Carotid Artery in 2D Ultrasound Image Sequences Using Spatiotemporal and Spatiospectral 2D Maps".
Int. J. Biomed. Imaging, 2017

2014
Automatic Characterization of the Physiological Condition of the Carotid Artery in 2D Ultrasound Image Sequences Using Spatiotemporal and Spatiospectral 2D Maps.
Int. J. Biomed. Imaging, 2014

PET image improvement using the Patch Confidence K-Nearest Neighbors Filter.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013
Using Homo-Separation of Variables for Solving Systems of Nonlinear Fractional Partial Differential Equations.
Int. J. Math. Math. Sci., 2013

2010
Sensitivity Analysis of Multichannel Images Intended for Instantaneous Imaging Spectrometry Applications.
SIAM J. Imaging Sci., 2010

Automated Tracking of the Carotid Artery in Ultrasound Image Sequences Using a Self Organizing Neural Network.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2005
Hyperspectral Image Generation, Processing and Analysis.
PhD thesis, 2005

2004
Unsupervised fuzzy clustering using weighted incremental neural networks.
Int. J. Neural Syst., 2004

2003
Unsupervised fuzzy clustering and image segmentation using weighted neural networks.
Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003

2002
Using Weighted Fixed Neural Networks for Unsupervised Fuzzy Clustering.
Int. J. Neural Syst., 2002

Unsupervised Hyperspectral Image Segmentation Using a New Class of Neuro-Fuzzy Systems Based on Weighted Incremental Neural Networks.
Proceedings of the 31st Applied Image Pattern Recognition Workshop (AIPR 2002), 2002

Using Hyperspectral Reflectance Data for Discrimination Between Healthy and Diseased Plants, and Determination of Damage-Level in Diseased Plants.
Proceedings of the 31st Applied Image Pattern Recognition Workshop (AIPR 2002), 2002

2001
Using Feature-Vector Based Analysis, Based on Principal Component Analysis and Independent Component Analysis, for Analyzing Hyperspectral Images.
Proceedings of the 11th International Conference on Image Analysis and Processing (ICIAP 2001), 2001


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