Accès ouvert
2026
article
OpenAlex
Maria Mezher, Mohannad Elgamal, Sean Schoeman, Maryam Al‐Hasani et autres
Ultrasound is widely used in pediatric imaging because it is safe, portable, real-time, and free of ionizing radiation, but interpretation remains qualitative and operator-dependent. Ultrasound radiomics can extract quantitative features from standard grayscale images, providing potential biomarkers of tissue patterns not readily …
us
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Accès ouvert
2024
article
OpenAlex
Laith R. Sultan, Valeria Grasso, Jithin Jose, Maryam Al‐Hasani et autres
Liver fibrosis, a major global health issue, is marked by excessive collagen deposition that impairs liver function. Noninvasive methods for the direct visualization of collagen content are crucial for the early detection and monitoring of fibrosis progression. This study investigates the potential …
us, nl
(code pays fourni par la source)
Accès ouvert
2023
article
OpenAlex
Laith R. Sultan, Allison Haertter, Maryam Al‐Hasani, George Demiris et autres
With the 2019 coronavirus disease (COVID-19) pandemic, there is an increasing demand for remote monitoring technologies to reduce patient and provider exposure. One field that has an increasing potential is teleguided ultrasound, where telemedicine and point-of-care ultrasound (POCUS) merge to create this …
us
(code pays fourni par la source)
Accès ouvert
2023
article
OpenAlex
Laith R. Sultan, Mrigendra B. Karmacharya, Maryam Al‐Hasani, Theodore W. Cary et autres
BACKGROUND: Hepatocellular carcinoma (HCC) detection with B-mode and contrast-enhanced ultrasound (CUS) imaging often varies between subjects, especially in patients with background cirrhosis. Various factors contribute to this variability, including the tumor blood flow, tumor size, internal echoes, and its location in livers …
us
(code pays fourni par la source)
Accès ouvert
2022
article
OpenAlex
Maryam Al‐Hasani, Laith R. Sultan, Hersh Sagreiya, Theodore W. Cary et autres
Objective: The study evaluates quantitative ultrasound (QUS) texture features with machine learning (ML) to enhance the sensitivity of B-mode ultrasound (US) for the detection of fibrosis at an early stage and distinguish it from advanced fibrosis. Different ML methods were evaluated to …
us
(code pays fourni par la source)
Accès ouvert
2022
conference-paper
OpenAlex
Laith R. Sultan, Maryam Al‐Hasani, Mrigendra B. Karmacharya, Theodore W. Cary et autres
Modulating aberrant tumor microvasculature provides unique opportunities for enhancing ultrasound imaging of hepatocellular carcinoma (HCC). This study aims to use contrast-enhanced ultrasound to evaluate the potential of a potent vasodilator, hydralazine, to attenuate blood flow in HCC while enhancing it in the …
us
(code pays fourni par la source)
Accès ouvert
2022
article
OpenAlex
Laith R. Sultan, Theodore W. Cary, Maryam Al‐Hasani, Mrigendra B. Karmacharya et autres
Machine learning for medical imaging not only requires sufficient amounts of data for training and testing but also that the data be independent. It is common to see highly interdependent data whenever there are inherent correlations between observations. This is especially to …
us
(code pays fourni par la source)