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Articles by Cuny Usa
AI‐Enhanced Detection of Clinically Relevant Structural and Functional Anomalies in MRI: Traversing the Landscape of Conventional to Explainable Approaches
Conflict of Interest The authors declare no competing interests. References 1, , , , , . An anomaly detection approach to identify chronic brain infarcts on MRI. Sci Rep 2021; 11: 7714. 2, , , et al. MRI evaluation of pulmonary lesions and lung tissue changes induced by tuberculosis. Int J Infect Dis 2019; 82: 138-146. 3, , , , , . Deep learning for predicting future lesion emergence in high-risk breast MRI screening: A feasibility study. Eur Radiol Exp 2023; 7: 32. 4, , , .
Editorial for “Automated Breast Density Assessment in MRI using Deep Learning and Radiomics: Strategies for Reducing Inter‐observer Variability”
No abstract is available for this article. References 1, , . Update on breast density, risk estimation, and supplemental screening. AJR Am J Roentgenol 2020; 214: 296-305. 2, , . Overview of artificial intelligence in breast cancer medical imaging. J Clin Med Res 2023; 12(2): 419. 3, , , , . Artificial intelligence applications in breast imaging: Current status and future directions. Diagnostics (Basel) 2023; 13(12): 2041. 4, , , et al.
DACA legal services: One federal policy, different local implementation approaches
In the United States, the absence of federal funding and coordination for immigration legal services often means that local resources determine immigrants' access to justice. Many of these resources go toward supporting immigrants caught in the detention and deportation system. Yet local support is also critical for implementing federal benefits programs such as the 2012 Deferred Action for Childhood Arrivals (DACA) program.
Input material reduction incentives versus scrap recycling for closed‐loop supply chains
Abstract Motivated by interactions with a major player in the aerospace industry, we consider the relationship between a supplier of specialty material forgings and a buyer that manufactures airplane components by extensively machining down these forgings as per component design specifications. Due to high material removal costs, the buyer prefers these forgings to be as similar in geometry and size to the component as possible, that is, near-net-shape.
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