Co-Authors
This is a "connection" page, showing publications co-authored by Hiroyuki Abe and Frederick Howard.
Connection Strength
0.381
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Highly accurate response prediction in high-risk early breast cancer patients using a biophysical simulation platform. Breast Cancer Res Treat. 2022 Nov; 196(1):57-66.
Score: 0.214
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Bilateral asymmetry of quantitative parenchymal kinetics at ultrafast DCE-MRI predict response to neoadjuvant chemotherapy in patients with HER2+ breast cancer. Magn Reson Imaging. 2023 Dec; 104:9-15.
Score: 0.057
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External Evaluation of a Mammography-based Deep Learning Model for Predicting Breast Cancer in an Ethnically Diverse Population. Radiol Artif Intell. 2023 Nov; 5(6):e220299.
Score: 0.057
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Differences Between Ipsilateral and Contralateral Early Parenchymal Enhancement Kinetics Predict Response of Breast Cancer to Neoadjuvant Therapy. Acad Radiol. 2022 10; 29(10):1469-1479.
Score: 0.052