Anthony E. Samir
Orcid: 0000-0002-7801-8724
According to our database1,
Anthony E. Samir
authored at least 22 papers
between 2017 and 2024.
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Bibliography
2024
ULTRA-SR Challenge: Assessment of Ultrasound Localization and TRacking Algorithms for Super-Resolution Imaging.
IEEE Trans. Medical Imaging, August, 2024
Unsupervised Physics-Inspired Shear Wave Speed Estimation in Ultrasound Elastography.
Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024
Simple is More: Efficient Liver View Classification in Ultrasound Images Using Minimal Labeled Data and Simple Neural Network Architecture.
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024
Expert-quality Dataset Labeling via Gamified Crowdsourcing on Point-of-Care Lung Ultrasound Data.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
Machine Learning Models for Point-of-care Ultrasound Education and Training: National Cost Savings and Expert Time Reduction.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
Abdominal Ultrasound Similarity Analysis for Quantitative Longitudinal Liver Fibrosis Staging.
Proceedings of the Clinical Image-Based Procedures - 13th International Workshop, 2024
2023
CoRR, 2023
Individualized Ultrasound-Guided Intervention Phantom Development, Fabrication, and Proof of Concept.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Self-Supervised Learning for Accurate Liver View Classification in Ultrasound Images with Minimal Labeled Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Liver Segmentation in Ultrasound Images Using Self-Supervised Learning with Physics-inspired Augmentation and Global-Local Refinement.
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023
2022
Prior wavelet knowledge for multi-modal medical image segmentation using a lightweight neural network with attention guided features.
Expert Syst. Appl., 2022
Stacked dilated convolutions and asymmetric architecture for U-Net-based medical image segmentation.
Comput. Biol. Medicine, 2022
2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
CoRR, 2020
Proceedings of the Machine Learning for Healthcare Conference, 2020
2019
Deep Learning-Based Automatic Endometrium Segmentation and Thickness Measurement for 2D Transvaginal Ultrasound.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Non-invasive diagnosis of non-alcoholic fatty liver disease (NAFLD) using ultrasound image echogenicity.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017