Mohamed N. Ahmed

Bias field estimation and adaptive segmentation of MRI data using a modified fuzzy C-means algorithm

Aly A. Farag, Sameh M. Yamany, Mohamed N. Ahmed, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

EP printer jitter characterization using 2D Gabor filter and spectral analysis

Mohamed N. Ahmed, Ahmed H. Eid, Edward E. Rippetoe, 2008, 2008 15th IEEE International Conference on Image Processing.

Two-stage neural network for volume segmentation of medical images

Aly A. Farag, Mohamed N. Ahmed, 1997, Pattern Recognit. Lett..

Characterization of Electrophotographic Print Artifacts: Banding, Jitter, and Ghosting

Mohamed N. Ahmed, Ahmed H. Eid, Edward E. Rippetoe, 2011, IEEE Transactions on Image Processing.

Descreening using segmentation-based adaptive filtering

Mohamed N. Ahmed, Ahmed H. Eid, A. Eid, 2011, Electronic Imaging.

A Modified Fuzzy C-Means Algorithm for MRI Bias Field Estimation and Adaptive Segmentation

Aly A. Farag, Sameh M. Yamany, Mohamed N. Ahmed, 1999, MICCAI.

A new genetic-based technique for matching 3-D curves and surfaces

Aly A. Farag, Sameh M. Yamany, Mohamed N. Ahmed, 1999, Pattern Recognit..

Characterization of Ghosting Defects in Electrophotographic Printers

Mohamed N. Ahmed, Ahmed H. Eid, Brian E. Cooper, 2007, 2007 IEEE International Conference on Image Processing.

A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data

Aly A. Farag, Sameh M. Yamany, Mohamed N. Ahmed, 2002, IEEE Transactions on Medical Imaging.

Modified fuzzy c-mean in medical image segmentation

Aly A. Farag, Mohamed N. Ahmed, Nevin A. Mohamed, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Volume Segmentation of Ct/mri Images Using Multiscale Features, Self-organizing Principal Components Analysis (sopca), and Self-organizing Feature Map (sofm)

Mohamed N. Ahmed, Aly A. FaragComputer, M. N. Ahmed, 1997 .