Robert M Nishikawa
Overview
Explore the profile of Robert M Nishikawa including associated specialties, affiliations and a list of published articles.
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69
Citations
652
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Recent Articles
1.
Zuley M, Bandos A, Duffy S, Logue D, Bhargava R, McAuliffe P, et al.
J Clin Oncol
. 2024 Dec;
43(7):896-897.
PMID: 39689268
No abstract available.
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Zuley M, Bandos A, Duffy S, Logue D, Bhargava R, McAuliffe P, et al.
J Clin Oncol
. 2024 Aug;
42(32):3837-3846.
PMID: 39167740
Purpose: Controversy continues regarding the effect of screening mammography on breast cancer outcomes. We evaluated late-stage cancer rate and overall survival (OS) for different screening intervals using a real-world institutional...
4.
Zuley M, Silverstein J, Logue D, Morgan R, Bhargava R, McAuliffe P, et al.
JCO Clin Cancer Inform
. 2024 Apr;
8:e2300193.
PMID: 38621193
Purpose: In the United States, a comprehensive national breast cancer registry (CR) does not exist. Thus, care and coverage decisions are based on data from population subsets, other countries, or...
5.
Friedewald S, Schacht D, Houshmand G, Nishikawa R, Linver M
J Breast Imaging
. 2024 Feb;
4(5):520-529.
PMID: 38416947
Feedback to physicians on their clinical performance is critical to continuous learning and maintenance of skills as well as maintaining patient safety. However, it is fraught with challenges around both...
6.
Lee J, Nishikawa R
Breast Cancer Res
. 2024 Feb;
26(1):21.
PMID: 38303004
Background: The wide heterogeneity in the appearance of breast lesions and normal breast structures can confuse computerized detection algorithms. Our purpose was therefore to develop a Lesion Highlighter (LH) that...
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Lee J, Mustafaev T, Nishikawa R
J Med Imaging (Bellingham)
. 2023 Oct;
10(5):054503.
PMID: 37840849
Purpose: Generative adversarial networks (GANs) can synthesize various feasible-looking images. We showed that a GAN, specifically a conditional GAN (CGAN), can simulate breast mammograms with normal, healthy appearances and can...
9.
Yoon J, Strand F, Baltzer P, Conant E, Gilbert F, Lehman C, et al.
Radiology
. 2023 May;
307(5):e222639.
PMID: 37219445
Background There is considerable interest in the potential use of artificial intelligence (AI) systems in mammographic screening. However, it is essential to critically evaluate the performance of AI before it...
10.
Hossain M, Nishikawa R, Lee J
Med Phys
. 2022 Aug;
49(12):7596-7608.
PMID: 35916103
Background: Due to the complex nature of digital breast tomosynthesis (DBT) in imaging techniques, reading times are longer than 2D mammograms. A robust computer-aided diagnosis system in DBT could help...