Výsledky vyhledávání - "Aaron, Fenster"

Akademický článek

Three-dimensional trans-rectal and trans-abdominal ultrasound image fusion for the guidance of gynecologic brachytherapy procedures: a proof of concept study

Autor: Tiana Trumpour, Carla du Toit, Alissa van Gaalen, Claire K. S. Park, Jessica R. Rodgers, Lucas C. Mendez, Kathleen Surry, Aaron Fenster

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)

Abstract High dose-rate brachytherapy is a treatment technique for gynecologic cancers where intracavitary applicators are placed within the patient’s pelvic cavity. To ensure accurate radiation delivery, localization of the applicator at the time

Externí odkaz: https://doaj.org/article/8874eeb6ce584e98b78b15ec4b8c53f8

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Akademický článek

Cost-effective, portable, patient-dedicated three-dimensional automated breast ultrasound for point-of-care breast cancer screening

Autor: Claire Keun Sun Park, Tiana Trumpour, Amal Aziz, Jeffrey Scott Bax, David Tessier, Lori Gardi, Aaron Fenster

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)

Abstract Breast cancer screening has substantially reduced mortality across screening populations. However, a clinical need persists for more accessible, cost-effective, and robust approaches for increased-risk and diverse patient populations, especi

Externí odkaz: https://doaj.org/article/05fe86852a7741a3acd336ced71e2a2a

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Akademický článek

Ultrasound carotid plaque segmentation via image reconstruction-based self-supervised learning with limited training labels

Autor: Ran Zhou, Yanghan Ou, Xiaoyue Fang, M. Reza Azarpazhooh, Haitao Gan, Zhiwei Ye, J. David Spence, Xiangyang Xu, Aaron Fenster

Publikováno v: Mathematical Biosciences and Engineering, Vol 20, Iss 2, Pp 1617-1636 (2023)

Carotid total plaque area (TPA) is an important contributing measurement to the evaluation of stroke risk. Deep learning provides an efficient method for ultrasound carotid plaque segmentation and TPA quantification. However, high performance of deep

Externí odkaz: https://doaj.org/article/1e0817762f834d268048900c5f85a810

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Akademický článek

Ageing and degeneration analysis using ageing-related dynamic attention on lateral cephalometric radiographs

Autor: Zhiyong Zhang, Ningtao Liu, Zhang Guo, Licheng Jiao, Aaron Fenster, Wenfan Jin, Yuxiang Zhang, Jie Chen, Chunxia Yan, Shuiping Gou

Publikováno v: npj Digital Medicine, Vol 5, Iss 1, Pp 1-15 (2022)

Abstract With the increase of the ageing in the world’s population, the ageing and degeneration studies of physiological characteristics in human skin, bones, and muscles become important topics. Research on the ageing of bones, especially the skul

Externí odkaz: https://doaj.org/article/1169f2d098194682b1bd19b1e707ada1

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Akademický článek

Cross-sectional reliability and concurrent validity of a quantitative 2-dimensional ultrasound image analysis of effusion and synovial hypertrophy in knee osteoarthritisKey messages

Autor: Robert Dima, Trevor B. Birmingham, Holly T. Philpott, Dianne Bryant, Aaron Fenster, C. Thomas Appleton

Publikováno v: Osteoarthritis and Cartilage Open, Vol 5, Iss 2, Pp 100356- (2023)

Objective: Effusion-synovitis is related to pain and progression in knee osteoarthritis (OA), but current gold standard ultrasound (US) measures are limited to semi-quantitative grading of joint distension or 1-dimensional thickness measures. A novel

Externí odkaz: https://doaj.org/article/dafe18f8e6dd429c9ed04ca6b800b2d5

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Akademický článek

Automatic femoral articular cartilage segmentation using deep learning in three-dimensional ultrasound images of the knee

Autor: Carla du Toit, Nathan Orlando, Sam Papernick, Robert Dima, Igor Gyacskov, Aaron Fenster

Publikováno v: Osteoarthritis and Cartilage Open, Vol 4, Iss 3, Pp 100290- (2022)

Objective: This study aimed to develop a deep learning-based approach to automatically segment the femoral articular cartilage (FAC) in 3D ultrasound (US) images of the knee to increase time efficiency and decrease rater variability. Design: Our meth

Externí odkaz: https://doaj.org/article/4e9d7d50b8cd42b4a8335d1cb359c10f

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