Robail Yasrab

Orcid: 0000-0002-1673-1946

According to our database1, Robail Yasrab authored at least 22 papers between 2016 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Zoom Pattern Signatures for Fetal Ultrasound Structures.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Zoom is Meaningful: Discerning Ultrasound Images' Zoom Levels.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Memory-based unsupervised video clinical quality assessment with multi-modality data in fetal ultrasound.
Medical Image Anal., December, 2023

A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans.
IEEE Trans. Medical Imaging, May, 2023

Automated Description and Workflow Analysis of Fetal Echocardiography in First-Trimester Ultrasound Video Scans.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

CNSeg-GAN: A Lightweight Generative Adversarial Network For Segmentation of CRL and NT From First-Trimester Fetal Ultrasound.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

D2ANET: Densely Attentional-Aware Network for First Trimester Ultrasound CRL and NT Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Construction and Empirical Research of the Big Data-Based Precision Teaching Paradigm.
Int. J. Inf. Commun. Technol. Educ., 2022

Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Predicting Plant Growth from Time-Series Data Using Deep Learning.
Remote. Sens., 2021

2019
SRNET: A Shallow Skip Connection Based Convolutional Neural Network Design for Resolving Singularities.
J. Comput. Sci. Technol., 2019

Challenges and issues in collaborative software developments.
CoRR, 2019

Grid Computing Model for Mobile: A Better Mobile Grid Computing Model.
CoRR, 2019

2018
ECRU: An Encoder-Decoder Based Convolution Neural Network (CNN) for Road-Scene Understanding.
J. Imaging, 2018

Platform-as-a-Service (PaaS): The Next Hype of Cloud Computing.
CoRR, 2018

Mitigating Docker Security Issues.
CoRR, 2018

MPSM: Multi-prospective PaaS Security Model.
CoRR, 2018

PaaS Cloud: The Business Perspective.
CoRR, 2018

2017
GT-SGD: A Novel Gradient Synchronization Algorithm in Training Distributed Recurrent Neural Network Language Models.
Proceedings of the International Conference on Networking and Network Applications, 2017

2016
Energy Preserving Detection Model for Collaborative Black Hole Attacks in Wireless Sensor Networks.
Proceedings of the 12th International Conference on Mobile Ad-Hoc and Sensor Networks, 2016


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