Výsledky vyhledávání - "Kifle, Naomi"

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Deep Learning-based Segmentation of Pleural Effusion From Ultrasound Using Coordinate Convolutions

Autor: Morilhat, Germain, Kifle, Naomi, FinesilverSmith, Sandra, Ruijsink, Bram, Vergani, Vittoria, Desita, Habtamu Tegegne, Desita, Zerubabel Tegegne, Puyol-Anton, Esther, Carass, Aaron, King, Andrew P.

In many low-to-middle income (LMIC) countries, ultrasound is used for assessment of pleural effusion. Typically, the extent of the effusion is manually measured by a sonographer, leading to significant intra-/inter-observer variability. In this work,

Externí odkaz: http://arxiv.org/abs/2208.03305

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Improved AI-based segmentation of apical and basal slices from clinical cine CMR

Autor: Mariscal-Harana, Jorge, Kifle, Naomi, Razavi, Reza, King, Andrew P., Ruijsink, Bram, Puyol-Antón, Esther

Current artificial intelligence (AI) algorithms for short-axis cardiac magnetic resonance (CMR) segmentation achieve human performance for slices situated in the middle of the heart. However, an often-overlooked fact is that segmentation of the basal

Externí odkaz: http://arxiv.org/abs/2109.09421

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Akademický článek

Pediatric Brain Tissue Segmentation Using a Snapshot Hyperspectral Imaging (sHSI) Camera and Machine Learning Classifier.

Autor: Kifle, Naomi¹ (AUTHOR) nkifle@childrensnational.org, Teti, Saige² (AUTHOR) sateti@childrensnational.org, Ning, Bo¹ (AUTHOR) itai.j.katz@gmail.com, Donoho, Daniel A.² (AUTHOR) ddonoho@childrensnational.org, Katz, Itai¹ (AUTHOR), Keating, Robert² (AUTHOR) rkeating@childrensnational.org, Cha, Richard Jaepyeong^1,3 (AUTHOR) rkeating@childrensnational.org

Publikováno v: Bioengineering (Basel). Oct2023, Vol. 10 Issue 10, p1190. 11p.