Hiba Ramadan

Orcid: 0000-0002-3586-4760

According to our database1, Hiba Ramadan authored at least 12 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Correction: Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images.
Vis. Comput. Ind. Biomed. Art, December, 2024

Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images.
Vis. Comput. Ind. Biomed. Art, December, 2024

A novel MLP-Mixer and channel attention based network for medical image segmentation.
Proceedings of the 12th IEEE International Symposium on Signal, 2024

2023
A robust energy management approach in two-steps ahead using deep learning BiLSTM prediction model and type-2 fuzzy decision-making controller.
Fuzzy Optim. Decis. Mak., December, 2023

2020
A survey of recent interactive image segmentation methods.
Comput. Vis. Media, 2020

Saliency-guided automatic detection and segmentation of tumor in breast ultrasound images.
Biomed. Signal Process. Control., 2020

2018
Boundary connectedness-based salient video object segmentation.
J. Electronic Imaging, 2018

Pattern mining-based video saliency detection: Application to moving object segmentation.
Comput. Electr. Eng., 2018

2017
Boundary connectedness based video cut for moving object segmentation.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

2016
Robust segmentation of moving objects in video based on spatiotemporal visual saliency and active contour model.
J. Electronic Imaging, 2016

Moving object segmentation in video using spatiotemporal saliency and laplacian coordinates.
Proceedings of the 13th IEEE/ACS International Conference of Computer Systems and Applications, 2016

2015
Collaborative Xmeans-EM clustering for automatic detection and segmentation of moving objects in video.
Proceedings of the 12th IEEE/ACS International Conference of Computer Systems and Applications, 2015


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