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SRNET: A Shallow Skip Connection Based Convolutional Neural Network Design for Resolving Singularities

Journal of computer science and technology, 2019-07, Vol.34 (4), p.924-938

Yasrab, Robail

2019

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ECRU: An Encoder-Decoder Based Convolution Neural Network (CNN) for Road-Scene Understanding

Journal of imaging, 2018-10, Vol.4 (10), p.116

Yasrab, Robail

2018

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Predicting Plant Growth from Time-Series Data Using Deep Learning

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (3), p.331

2021

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RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures

Gigascience, 2019-11, Vol.8 (11)

2019

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Fighting Deepfakes Using Body Language Analysis

Forecasting, 2021-06, Vol.3 (2), p.303-321

2021

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Efficient Breast Cancer Classification Network with Dual Squeeze and Excitation in Histopathological Images

Diagnostics (Basel), 2022-12, Vol.13 (1), p.103

2022

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Automating the Human Action of First-Trimester Biometry Measurement from Real-World Freehand Ultrasound

Ultrasound in medicine & biology, 2024-06, Vol.50 (6), p.805-816

2024

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An Encoder-Decoder Based Convolution Neural Network (CNN) for Future Advanced Driver Assistance System (ADAS)

Applied sciences, 2017-03, Vol.7 (4), p.312

2017

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A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans

IEEE transactions on medical imaging, 2023-05, Vol.42 (5), p.1301-1313

2023

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Memory-based unsupervised video clinical quality assessment with multi-modality data in fetal ultrasound

Medical image analysis, 2023-12, Vol.90, p.102977-102977, Article 102977

2023

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D2ANET: Densely Attentional-Aware Network for First Trimester Ultrasound CRL and NT Segmentation

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023, p.1-4

2023

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IEEE_Xplore

Construction and Empirical Research of the Big Data-Based Precision Teaching Paradigm

International journal of information and communication technology education, 2022-01, Vol.18 (2), p.1-14

2022

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Automated Description and Workflow Analysis of Fetal Echocardiography in First-Trimester Ultrasound Video Scans

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023, p.1-5

2023

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IEEE_Xplore

CNSeg-GAN: A Lightweight Generative Adversarial Network For Segmentation of CRL and NT From First-Trimester Fetal Ultrasound

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023, p.1-4

2023

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IEEE_Xplore

End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, Vol.2022, p.1-5

2022

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IEEE_Xplore

Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality Data

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, 2022-09, p.228-237

2022

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Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound

Computer Vision – ECCV 2022 Workshops, 2022, p.422-436

2022

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Multi-cloud PaaS Architecture (MCPA): A Solution to Cloud Lock-In

2016 3rd International Conference on Information Science and Control Engineering (ICISCE), 2016, p.473-477

2016

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IEEE_Xplore

SCNet: A simplified encoder-decoder CNN for semantic segmentation

2016 5th International Conference on Computer Science and Network Technology (ICCSNT), 2016, p.785-789

2016

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Energy Preserving Detection Model for Collaborative Black Hole Attacks in Wireless Sensor Networks

2016 12th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN), 2016, p.395-399

2016

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GT-SGD: A Novel Gradient Synchronization Algorithm in Training Distributed Recurrent Neural Network Language Models

2017 International Conference on Networking and Network Applications (NaNA), 2017, p.274-278

2017

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SRNET: A Shallow Skip Connection Based Convolutional Neural Network Design for Resolving Singularities

ECRU: An Encoder-Decoder Based Convolution Neural Network (CNN) for Road-Scene Understanding

Predicting Plant Growth from Time-Series Data Using Deep Learning

RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures

Fighting Deepfakes Using Body Language Analysis

Efficient Breast Cancer Classification Network with Dual Squeeze and Excitation in Histopathological Images

Automating the Human Action of First-Trimester Biometry Measurement from Real-World Freehand Ultrasound

An Encoder-Decoder Based Convolution Neural Network (CNN) for Future Advanced Driver Assistance System (ADAS)

A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans

Memory-based unsupervised video clinical quality assessment with multi-modality data in fetal ultrasound

D2ANET: Densely Attentional-Aware Network for First Trimester Ultrasound CRL and NT Segmentation

Construction and Empirical Research of the Big Data-Based Precision Teaching Paradigm

Automated Description and Workflow Analysis of Fetal Echocardiography in First-Trimester Ultrasound Video Scans

CNSeg-GAN: A Lightweight Generative Adversarial Network For Segmentation of CRL and NT From First-Trimester Fetal Ultrasound

End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation

Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality Data

Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound

Multi-cloud PaaS Architecture (MCPA): A Solution to Cloud Lock-In

SCNet: A simplified encoder-decoder CNN for semantic segmentation

Energy Preserving Detection Model for Collaborative Black Hole Attacks in Wireless Sensor Networks

GT-SGD: A Novel Gradient Synchronization Algorithm in Training Distributed Recurrent Neural Network Language Models

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