Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast Cancer-Reference-Cited by-同舟云学术

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Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast Cancer

Published:2023-03-01 Issue:3 Volume:306 Page:
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Chung Maggie,Calabrese Evan,Mongan John,Ray Kimberly M.,Hayward Jessica H.,Kelil Tatiana,Sieberg Ryan,Hylton Nola,Joe Bonnie N.,Lee Amie Y.

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.239004

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enabling AI‐Generated Content for Gadolinium‐Free Contrast‐Enhanced Breast Magnetic Resonance Imaging;Journal of Magnetic Resonance Imaging;2024-07-25

2. Non-contrast Breast MR Imaging;Radiologic Clinics of North America;2024-07

3. Generative adversarial network-based synthesis of contrast-enhanced MR images from precontrast images for predicting histological characteristics in breast cancer;Physics in Medicine & Biology;2024-04-15

4. Application of Artificial Intelligence in Breast Imaging: Current Landscape and Prospects;Korean Journal of Family Practice;2023-12-20

5. Reply to “Cost-Effectiveness of Breast Cancer Staging Modalities: Is There a Role for MDCT in Low- and Moderate-Income Countries?”;American Journal of Roentgenology;2023-12-06

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