Caixia Fu
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Siemens, Siemens Healthcareas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-5595-6347
- OpenAlex ID
- A5102829080as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 21
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique,
Breast cancer recurrence risk prediction using whole-lesion histogram analysis with diffusion kurtosis imaging,
Closed form algorithm of double-satellite TDOA + AOA localization based on WGS-84 model,
Deep Learning–Based Approach for Identifying and Measuring Focal Liver Lesions on Contrast‐Enhanced <scp>MRI</scp>,
Differentiating prostate cancer from benign prostatic hyperplasia using whole-lesion histogram and texture analysis of diffusion- and T2-weighted imaging,
Differentiation between idiopathic granulomatous mastitis and invasive breast carcinoma, both presenting with non-mass enhancement without rim-enhanced masses: The value of whole-lesion histogram and texture analysis using apparent diffusion coefficient,
Diffusion kurtosis imaging in the characterisation of rectal cancer: utilizing the most repeatable region-of-interest strategy for diffusion parameters on a 3T scanner,
Enhancing chemistry-intuitive feature learning to improve prediction performance of optical properties
+13 more
← Authored by 21
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique,
Breast cancer recurrence risk prediction using whole-lesion histogram analysis with diffusion kurtosis imaging,
Closed form algorithm of double-satellite TDOA + AOA localization based on WGS-84 model,
Deep Learning–Based Approach for Identifying and Measuring Focal Liver Lesions on Contrast‐Enhanced <scp>MRI</scp>,
Differentiating prostate cancer from benign prostatic hyperplasia using whole-lesion histogram and texture analysis of diffusion- and T2-weighted imaging,
Differentiation between idiopathic granulomatous mastitis and invasive breast carcinoma, both presenting with non-mass enhancement without rim-enhanced masses: The value of whole-lesion histogram and texture analysis using apparent diffusion coefficient,
Diffusion kurtosis imaging in the characterisation of rectal cancer: utilizing the most repeatable region-of-interest strategy for diffusion parameters on a 3T scanner,
Enhancing chemistry-intuitive feature learning to improve prediction performance of optical properties
+13 more
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Summary
Caixia Fu is a human[1].