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Breast Cancer (Tokyo, Japan)|September 22, 2020
Breast cancer screening for women at high risk: review of current guidelines from leading specialty societiesNatsuko Onishi, Masako Kataoka
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|November 13, 2018
Impact of the Number of Iterations in Compressed Sensing Reconstruction on Ultrafast Dynamic Contrast-enhanced Breast MR ImagingHajime Sagawa, Masako Kataoka, Shotaro Kanao, et al.
Scientific Reports|March 21, 2018
Appearance Constrained Semi-Automatic Segmentation from DCE-MRI is Reproducible and Feasible for Breast Cancer Radiomics: A Feasibility StudyHarini Veeraraghavan, Brittany Z Dashevsky, Natsuko Onishi, et al.
Journal of Magnetic Resonance Imaging : JMRI|May 31, 2017
Ultrafast dynamic contrast-enhanced mri of the breast using compressed sensing: breast cancer diagnosis based on separate visualization of breast arteries and veinsNatsuko Onishi, Masako Kataoka, Shotaro Kanao, et al.
Journal of Breast Imaging|March 1, 2024
Using Deep Learning to Improve Nonsystematic Viewing of Breast Cancer on MRISarah Eskreis-Winkler, Natsuko Onishi, Katja Pinker, et al.
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|December 8, 2017
The Value of Lesion Size as an Adjunct to the BI-RADS-MRI 2013 Descriptors in the Diagnosis of Solitary Breast MassesMakiko Kawai, Masako Kataoka, Shotaro Kanao, et al.
European Journal of Radiology Open|May 3, 2018
Intravoxel incoherent motion (IVIM) and non-Gaussian diffusion MRI of the lactating breastMami Iima, Masako Kataoka, Rena Sakaguchi, et al.
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