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2020 – today
- 2024
[c10]Mohammad Alsharid, Robail Yasrab, Md. Mostafa Kamal Sarker, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Zoom is Meaningful: Discerning Ultrasound Images' Zoom Levels. ISBI 2024: 1-5- [c9]Mohammad Alsharid, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Zoom Pattern Signatures for Fetal Ultrasound Structures. MICCAI (4) 2024: 786-795 - 2023
- [j6]He Zhao
, Qingqing Zheng, Clare Teng, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Memory-based unsupervised video clinical quality assessment with multi-modality data in fetal ultrasound. Medical Image Anal. 90: 102977 (2023) - [j5]Robail Yasrab, Zeyu Fu, He Zhao, Lok Hin Lee, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans. IEEE Trans. Medical Imaging 42(5): 1301-1313 (2023) - [c8]Mourad Gridach, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
D2ANET: Densely Attentional-Aware Network for First Trimester Ultrasound CRL and NT Segmentation. ISBI 2023: 1-4 - [c7]Md. Mostafa Kamal Sarker, Robail Yasrab, Mohammad Alsharid, Aris T. Papageorghiou, J. Alison Noble:
CNSeg-GAN: A Lightweight Generative Adversarial Network For Segmentation of CRL and NT From First-Trimester Fetal Ultrasound. ISBI 2023: 1-4 - [c6]Robail Yasrab, Mohammad Alsharid, Md. Mostafa Kamal Sarker, He Zhao, Aris T. Papageorghiou, J. Alison Noble:
Automated Description and Workflow Analysis of Fetal Echocardiography in First-Trimester Ultrasound Video Scans. ISBI 2023: 1-5 - 2022
- [j4]Xinli Wu, Jie Chang, Fei Lian, Liheng Jiang, Juntong Liu, Robail Yasrab:
Construction and Empirical Research of the Big Data-Based Precision Teaching Paradigm. Int. J. Inf. Commun. Technol. Educ. 18(2): 1-14 (2022) - [c5]Zeyu Fu, Jianbo Jiao, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound. ECCV Workshops (3) 2022: 422-436 - [c4]Robail Yasrab, Zeyu Fu, Lior Drukker, Lok Hin Lee, He Zhao, Aris T. Papageorghiou, J. Alison Noble:
End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation. ISBI 2022: 1-5 - [c3]He Zhao, Qingqing Zheng, Clare Teng, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality Data. MICCAI (4) 2022: 228-237 - [i7]Zeyu Fu, Jianbo Jiao, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound. CoRR abs/2208.10642 (2022) - 2021
- [j3]Robail Yasrab, Jincheng Zhang, Polina Smyth, Michael P. Pound:
Predicting Plant Growth from Time-Series Data Using Deep Learning. Remote. Sens. 13(3): 331 (2021)
2010 – 2019
- 2019
- [j2]Robail Yasrab:
SRNET: A Shallow Skip Connection Based Convolutional Neural Network Design for Resolving Singularities. J. Comput. Sci. Technol. 34(4): 924-938 (2019) - [i6]Robail Yasrab:
Grid Computing Model for Mobile: A Better Mobile Grid Computing Model. CoRR abs/1903.06613 (2019) - [i5]Robail Yasrab, Javed Ferzund, Saad Razzaq:
Challenges and issues in collaborative software developments. CoRR abs/1904.00721 (2019) - 2018
- [j1]Robail Yasrab:
ECRU: An Encoder-Decoder Based Convolution Neural Network (CNN) for Road-Scene Understanding. J. Imaging 4(10): 116 (2018) - [i4]Robail Yasrab:
PaaS Cloud: The Business Perspective. CoRR abs/1803.07680 (2018) - [i3]Robail Yasrab:
MPSM: Multi-prospective PaaS Security Model. CoRR abs/1804.04731 (2018) - [i2]Robail Yasrab:
Mitigating Docker Security Issues. CoRR abs/1804.05039 (2018) - [i1]Robail Yasrab:
Platform-as-a-Service (PaaS): The Next Hype of Cloud Computing. CoRR abs/1804.10811 (2018) - 2017
- [c2]Xiaoci Zhang, Naijie Gu, Robail Yasrab, Hong Ye:
GT-SGD: A Novel Gradient Synchronization Algorithm in Training Distributed Recurrent Neural Network Language Models. NaNA 2017: 274-278 - 2016
- [c1]Muhammad Umar Farooq, Xingfu Wang, Robail Yasrab, Sara Qaisar:
Energy Preserving Detection Model for Collaborative Black Hole Attacks in Wireless Sensor Networks. MSN 2016: 395-399
Coauthor Index
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