Yuka Yashima
Koshigaya, 3230845, Japan
Last Updated: 09/26/2026
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Found 23 publications
Feasibility of Contrast-Enhanced Spectral Mammography in Japan: A Pilot Study.
Journal: JMA journal
Published: January 07, 2026
Correction: Comparison of the clinical and pathological characteristics of ultrasound-guided biopsy for breast masses and non-mass lesions between 16-gauge spring-loaded core needle biopsy and 12-gauge spring-loaded vacuum-assisted biopsy.
Journal: Journal of medical ultrasonics (2001)
Published: April 15, 2025
A simplified method for generating maximum slope maps in ultrafast dynamic contrast-enhanced breast magnetic resonance imaging.
Journal: Radiological physics and technology
Published: March 26, 2025
Evaluation of AI diagnostic systems for breast ultrasound: comparative analysis with radiologists and the effect of AI assistance.
Journal: Japanese journal of radiology
Published: December 26, 2024
Investigation of imaging features in contrast-enhanced magnetic resonance imaging of benign and malignant breast lesions.
Journal: Japanese journal of radiology
Published: December 01, 2023
Comparison of state-of-the-art biopsy systems for ultrasound-guided breast biopsy using a chicken breast phantom.
Journal: Journal of medical ultrasonics (2001)
Published: November 16, 2023
Clinical Utility of Breast Ultrasound Images Synthesized by a Generative Adversarial Network.
Journal: Medicina (Kaunas, Lithuania)
Published: November 03, 2023
Deep Learning-Based Image Quality Improvement in Digital Positron Emission Tomography for Breast Cancer.
Journal: Diagnostics (Basel, Switzerland)
Published: January 07, 2023
Comparison of the clinical and pathological characteristics of ultrasound-guided biopsy for breast masses and non-mass lesions between 16-gauge spring-loaded core needle biopsy and 12-gauge spring-loaded vacuum-assisted biopsy.
Journal: Journal of medical ultrasonics (2001)
Published: October 17, 2022
Comparison of 18F-fluorothymidine Positron Emission Tomography/Computed Tomography and 18F-fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Patients with Breast Cancer.
Journal: Tomography (Ann Arbor, Mich.)
Published: September 03, 2022
Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography.
Journal: Japanese journal of radiology
Published: January 11, 2022
Deep Learning Using Multiple Degrees of Maximum-Intensity Projection for PET/CT Image Classification in Breast Cancer.
Journal: Tomography (Ann Arbor, Mich.)
Published: December 01, 2021
Last Updated: 09/26/2026