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Akademický článek

Machine Learning Algorithm Accuracy Using Single- versus Multi-Institutional Image Data in the Classification of Prostate MRI Lesions

Autor: Destie Provenzano, Oleksiy Melnyk, Danish Imtiaz, Benjamin McSweeney, Daniel Nemirovsky, Michael Wynne, Michael Whalen, Yuan James Rao, Murray Loew, Shawn Haji-Momenian

Publikováno v: Applied Sciences, Vol 13, Iss 2, p 1088 (2023)

(1) Background: Recent studies report high accuracies when using machine learning (ML) algorithms to classify prostate cancer lesions on publicly available datasets. However, it is unknown if these trained models generalize well to data from differen

Externí odkaz: https://doaj.org/article/180cb67961eb4c53ace3280ba5185895

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Akademický článek

Integrated X-ray fluorescence and diffuse visible-to-near-infrared reflectance scanner for standoff elemental and molecular spectroscopic imaging of paints and works on paper

Autor: John K. Delaney, Damon M. Conover, Kathryn A. Dooley, Lisha Glinsman, Koen Janssens, Murray Loew

Publikováno v: Heritage Science, Vol 6, Iss 1, Pp 1-12 (2018)

Abstract Prior studies have shown the improved ability to identify artists’ pigments by combining results from X-ray fluorescence (XRF), which provides elemental information, with reflectance spectroscopy in the visible to near infrared (400–1000

Externí odkaz: https://doaj.org/article/f553d59e0eeb4e45ad8f56f6f2a90a76

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Akademický článek

Machine Learning Detects Pattern of Differences in Functional Magnetic Resonance Imaging (fMRI) Data between Chronic Fatigue Syndrome (CFS) and Gulf War Illness (GWI)

Autor: Destie Provenzano, Stuart D. Washington, Yuan J. Rao, Murray Loew, James Baraniuk

Publikováno v: Brain Sciences, Vol 10, Iss 7, p 456 (2020)

Background: Gulf War Illness (GWI) and Chronic Fatigue Syndrome (CFS) are two debilitating disorders that share similar symptoms of chronic pain, fatigue, and exertional exhaustion after exercise. Many physicians continue to believe that both are psy

Externí odkaz: https://doaj.org/article/260258676c9e4a8c8ff2cb1e5c6961d0

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Akademický článek

Logistic Regression Algorithm Differentiates Gulf War Illness (GWI) Functional Magnetic Resonance Imaging (fMRI) Data from a Sedentary Control

Autor: Destie Provenzano, Stuart D. Washington, Yuan J. Rao, Murray Loew, James N. Baraniuk

Publikováno v: Brain Sciences, Vol 10, Iss 5, p 319 (2020)

Gulf War Illness (GWI) is a debilitating condition characterized by dysfunction of cognition, pain, fatigue, sleep, and diverse somatic symptoms with no known underlying pathology. As such, uncovering objective biomarkers such as differential regions

Externí odkaz: https://doaj.org/article/2c855da8e3484c20b542f1ac5f20ce8f

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Anonymization and validation of 3-dimensional volumetric renderings of computed tomography (CT) data using commercially available T1W MRI-based algorithms

Autor: Rahil Patel, Destie Provenzano, Murray Loew

Publikováno v: Medical Imaging 2023: Imaging Informatics for Healthcare, Research, and Applications.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bd7709b1d5d9757a5eaba1befb37b425
https://doi.org/10.1117/12.2654411

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A novel intrinsic measure of data separability

Autor: Murray Loew, Shuyue Guan

Publikováno v: Applied Intelligence. 52:17734-17750

In machine learning, the performance of a classifier depends on both the classifier model and the separability/complexity of datasets. To quantitatively measure the separability of datasets, we create an intrinsic measure -- the Distance-based Separa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0506c8ccdc39ca7089c8c412d82749da
https://doi.org/10.1007/s10489-022-03395-6

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