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Cancers|August 14, 2025
Validation of a Quantitative Ultrasound Texture Analysis Model for Early Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: A Prospective Serial Imaging StudyDaniel Moore-Palhares, Lakshmanan Sannachi, Adrian Wai Chan, et al.Translational Oncology|February 19, 2013
Evaluation of neoadjuvant chemotherapy response in women with locally advanced breast cancer using ultrasound elastographyOmar Falou, Ali Sadeghi-Naini, Sameera Prematilake, et al.Genes|September 28, 2023
Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine LearningAudrey Shiner, Alex Kiss, Khadijeh Saednia, et al.Plos One|July 28, 2020
Quantitative ultrasound radiomics for therapy response monitoring in patients with locally advanced breast cancer: Multi-institutional study resultsKarina Quiaoit, Daniel DiCenzo, Kashuf Fatima, et al.Journal of the American Society of Echocardiography : Official Publication of the American Society of Echocardiography|March 31, 2024
Echocardiographic Detection of Regional Wall Motion Abnormalities Using Artificial Intelligence Compared to Human ReadersJeremy A Slivnick, Nils T Gessert, Juan I Cotella, et al.Cancer Medicine|July 1, 2020
Quantitative ultrasound radiomics in predicting response to neoadjuvant chemotherapy in patients with locally advanced breast cancer: Results from multi-institutional studyDaniel DiCenzo, Karina Quiaoit, Kashuf Fatima, et al.NPJ Precision Oncology|December 4, 2025
Quantitative ultrasound imaging for predicting response and guiding personalized neoadjuvant chemotherapy in breast cancer: randomized phase 2 clinical trial resultsDaniel Moore-Palhares, David Alberico, Adrian Wai Chan, et al.Pageof 27