Works matching AU Eskreis‐Winkler, Sarah
Results: 18
Using Deep Learning to Improve Nonsystematic Viewing of Breast Cancer on MRI.
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- Journal of Breast Imaging, 2021, v. 3, n. 2, p. 201, doi. 10.1093/jbi/wbaa102
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- Article
Assessment of Hypoxia in Breast Cancer: Emerging Functional MR Imaging and Spectroscopy Techniques and Clinical Applications.
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- Journal of Magnetic Resonance Imaging, 2025, v. 61, n. 1, p. 83, doi. 10.1002/jmri.29424
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- Article
AI Applications to Breast MRI: Today and Tomorrow.
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- Journal of Magnetic Resonance Imaging, 2024, v. 60, n. 6, p. 2290, doi. 10.1002/jmri.29358
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- Article
A Survey of Publicly Available MRI Datasets for Potential Use in Artificial Intelligence Research.
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- Journal of Magnetic Resonance Imaging, 2024, v. 59, n. 2, p. 450, doi. 10.1002/jmri.29101
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- Article
Breast MRI Background Parenchymal Enhancement Categorization Using Deep Learning: Outperforming the Radiologist.
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- Journal of Magnetic Resonance Imaging, 2022, v. 56, n. 4, p. 1068, doi. 10.1002/jmri.28111
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- Article
Reproducibility of quantitative susceptibility mapping in the brain at two field strengths from two vendors.
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- 2015
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- Publication type:
- journal article
Multiple sclerosis lesion geometry in quantitative susceptibility mapping (QSM) and phase imaging.
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- Journal of Magnetic Resonance Imaging, 2015, v. 42, n. 1, p. 224, doi. 10.1002/jmri.24745
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- Article
Breast MRI in patients with implantable loop recorder: initial experience.
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- European Radiology, 2024, v. 34, n. 1, p. 155, doi. 10.1007/s00330-023-10025-3
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- Article
Quantitative susceptibility mapping of the spine using in‐phase echoes to initialize inhomogeneous field and R2* for the nonconvex optimization problem of fat‐water separation.
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- NMR in Biomedicine, 2019, v. 32, n. 11, p. N.PAG, doi. 10.1002/nbm.4156
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- Publication type:
- Article
The clinical utility of QSM: disease diagnosis, medical management, and surgical planning.
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- NMR in Biomedicine, 2017, v. 30, n. 4, p. n/a, doi. 10.1002/nbm.3668
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- Article
Deuterium MR spectroscopy: potential applications in oncology research.
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- BJR Open, 2024, v. 6, n. 1, p. 1, doi. 10.1093/bjro/tzae019
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- Article
Schwannoma of the breast: A common tumor in an uncommon location.
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- 2018
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- Publication type:
- Case Study
Robustness of Deep Networks for Mammography: Replication Across Public Datasets.
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- Journal of Digital Imaging, 2024, v. 37, n. 2, p. 536, doi. 10.1007/s10278-023-00943-5
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- Publication type:
- Article
IDEAL-IQ in an oncologic population: meeting the challenge of concomitant liver fat and liver iron.
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- 2018
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- Publication type:
- journal article
Dipole modeling of multispectral signal for detecting metallic biopsy markers during MRI‐guided breast biopsy: a pilot study.
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- Magnetic Resonance in Medicine, 2020, v. 83, n. 4, p. 1380, doi. 10.1002/mrm.28017
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- Publication type:
- Article
Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients.
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- Frontiers in Oncology, 2022, v. 12, p. 1, doi. 10.3389/fonc.2022.795265
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- Publication type:
- Article
Development of an MRI Radiomic Machine-Learning Model to Predict Triple-Negative Breast Cancer Based on Fibroglandular Tissue of the Contralateral Unaffected Breast in Breast Cancer Patients.
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- Cancers, 2024, v. 16, n. 20, p. 3480, doi. 10.3390/cancers16203480
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- Publication type:
- Article
Multispectral Imaging for Metallic Biopsy Marker Detection During MRI-Guided Breast Biopsy: A Feasibility Study for Clinical Translation.
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- Frontiers in Oncology, 2021, v. 11, p. N.PAG, doi. 10.3389/fonc.2021.605014
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- Publication type:
- Article