Anthony E. Samir

Orcid: 0000-0002-7801-8724

According to our database1, Anthony E. Samir authored at least 22 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
ULTRA-SR Challenge: Assessment of Ultrasound Localization and TRacking Algorithms for Super-Resolution Imaging.
IEEE Trans. Medical Imaging, August, 2024

Zero shot health trajectory prediction using transformer.
npj Digit. Medicine, 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
Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Dataset Labeling.
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
Network-Agnostic Knowledge Transfer for Medical Image Segmentation.
CoRR, 2021

Efficient Binary Cnn For Medical Image Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation.
CoRR, 2020

Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging.
CoRR, 2020

Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging.
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
Contrast-Enhanced Ultrasound to Quantifyc Perfusion in a Machine-Perfused Pig Liver.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Objective Liver Fibrosis Estimation from Shear Wave Elastography.
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


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