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Machine Learning Models for Point-of-care Ultrasound Education and Training: National Cost Savings and Expert Time Reduction.

L. Driver, N. Duggan, C. Brower, M. Ebnali, D. Baymon, A. Wagner, R. Dias, A. Samir, T. Kapur, A. Goldsmith, and C. Baugh. HICSS, page 3915-3924. ScholarSpace, (2024)

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Alireza Samir

Kais al- Samir

Samer al- Samir

Imad Samir

Other publications of authors with the same name

Deep Learning-Based Automatic Endometrium Segmentation and Thickness Measurement for 2D Transvaginal Ultrasound.S. Hu, H. Xu, Q. Li, B. Telfer, L. Brattain, and A. Samir. EMBC, page 993-997. IEEE, (2019)Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging.S. Hu, S. Wang, W. Weng, J. Wang, X. Wang, A. Ozturk, Q. Li, V. Kumar, and A. Samir. CoRR, (2020)Stacked dilated convolutions and asymmetric architecture for U-Net-based medical image segmentation.S. Wang, V. Singh, E. Cheah, X. Wang, Q. Li, S. Chou, C. Lehman, V. Kumar, and A. Samir. Comput. Biol. Medicine, (2022)Machine Learning Models for Point-of-care Ultrasound Education and Training: National Cost Savings and Expert Time Reduction.L. Driver, N. Duggan, C. Brower, M. Ebnali, D. Baymon, A. Wagner, R. Dias, A. Samir, T. Kapur, A. Goldsmith and 1 other author(s). HICSS, page 3915-3924. ScholarSpace, (2024)Self-Supervised Learning for Accurate Liver View Classification in Ultrasound Images with Minimal Labeled Data.A. Ali, A. Samir, and P. Guo. CVPR Workshops, page 3087-3093. IEEE, (2023)Expert-quality Dataset Labeling via Gamified Crowdsourcing on Point-of-Care Lung Ultrasound Data.N. Duggan, M. Jin, E. Duhaime, T. Kapur, M. Mendicuti, S. Hallisey, D. Bernier, L. Selame, A. Asgari-Targhi, C. Fischetti and 2 other author(s). HICSS, page 3891-3897. ScholarSpace, (2024)Abdominal Ultrasound Similarity Analysis for Quantitative Longitudinal Liver Fibrosis Staging.E. Lee, V. Singh, E. Kalafi, P. Guo, A. Ozturk, T. Pierce, B. Telfer, A. Samir, and L. Brattain. CLIP@MICCAI, volume 15196 of Lecture Notes in Computer Science, page 73-82. Springer, (2024)U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation.S. Wang, S. Hu, E. Cheah, X. Wang, J. Wang, L. Chen, M. Baikpour, A. Ozturk, Q. Li, S. Chou and 3 other author(s). CoRR, (2020)Individualized Ultrasound-Guided Intervention Phantom Development, Fabrication, and Proof of Concept.T. Pierce, M. Ottensmeyer, A. Som, L. Brattain, J. Werblin, P. Sutphin, S. Schoen, M. Johnson, L. Gjesteby, B. Telfer and 1 other author(s). EMBC, page 1-4. IEEE, (2023)ULTRA-SR Challenge: Assessment of Ultrasound Localization and TRacking Algorithms for Super-Resolution Imaging.M. Lerendegui, K. Riemer, G. Papageorgiou, B. Wang, L. Arthur, A. Chavignon, T. Zhang, O. Couture, P. Huang, M. Ashikuzzaman and 16 other author(s). IEEE Trans. Medical Imaging, 43 (8): 2970-2987 (August 2024)

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Disambiguation of "Samir, Anthony E."

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Machine Learning Models for Point-of-care Ultrasound Education and Training: National Cost Savings and Expert Time Reduction.

Please choose a person to relate this publication to

Alireza Samir

Kais al- Samir

Samer al- Samir

Samer al- Samir

Imad Samir

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Samir, Anthony E."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Machine Learning Models for Point-of-care Ultrasound Education and Training: National Cost Savings and Expert Time Reduction.

Please choose a person to relate this publication to

Alireza Samir

Kais al- Samir

Samer al- Samir

Samer al- Samir

Imad Samir

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
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Machine Learning Models for Point-of-care Ultrasound Education and Training: National Cost Savings and Expert Time Reduction.