Ahror Belaid

Orcid: 0000-0001-7551-6069

According to our database1, Ahror Belaid authored at least 14 papers between 2011 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Cross-dimensional transfer learning in medical image segmentation with deep learning.
Medical Image Anal., August, 2023

Convolutional neural networks-based method for skin hydration measurements in high resolution MRI.
Biomed. Signal Process. Control., March, 2023

Arabic Handwritten Text Line Dataset.
CoRR, 2023

2020
Automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization.
Medical Biol. Eng. Comput., 2020

Efficient Embedding Network for 3D Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2018
Local maximum likelihood segmentation of echocardiographic images with Rayleigh distribution.
Signal Image Video Process., 2018

Segmentation of low-grade gliomas based on the growing region and level sets techniques.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

2016
Edge Detection Based on Riesz Transform.
Proceedings of the Image and Signal Processing - 7th International Conference, 2016

Feature Asymmetry of the Conformal Monogenic Signal.
Proceedings of the Image and Signal Processing - 7th International Conference, 2016

Segmentation of low-grade gliomas in MRI: Phase based method.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

2014
A new generalised α scale spaces quadrature filters.
Pattern Recognit., 2014

α scale spaces filters for phase based edge detection in ultrasound images.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2011
Phase-Based Level Set Segmentation of Ultrasound Images.
IEEE Trans. Inf. Technol. Biomed., 2011

Implicit active contours for ultrasound images segmentation driven by phase information and local maximum likelihood.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011


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