Found: 10
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Feasibility of AI-assisted compressed sensing protocols in knee MR imaging: a prospective multi-reader study.
- Published in:
- European Radiology, 2023, v. 33, n. 12, p. 8585, doi. 10.1007/s00330-023-09823-6
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- Article
Predictive model based on DCE-MRI and clinical features for the evaluation of pain response after stereotactic body radiotherapy in patients with spinal metastases.
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- European Radiology, 2023, v. 33, n. 7, p. 4812, doi. 10.1007/s00330-023-09437-y
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- Article
Assessment of Hidden Blood Loss in Spinal Metastasis Surgery: A Comprehensive Approach with MRI‐Based Radiomics Models.
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- Journal of Magnetic Resonance Imaging, 2024, v. 59, n. 6, p. 2023, doi. 10.1002/jmri.28954
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- Article
Prediction of pathological response and lymph node metastasis after neoadjuvant therapy in rectal cancer through tumor and mesorectal MRI radiomic features.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-72916-9
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- Article
Prediction of Primary Tumor Sites in Spinal Metastases Using a ResNet-50 Convolutional Neural Network Based on MRI.
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- Cancers, 2023, v. 15, n. 11, p. 2974, doi. 10.3390/cancers15112974
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- Article
Prognostic Value and Quantitative CT Analysis in RANKL Expression of Spinal GCTB in the Denosumab Era: A Machine Learning Approach.
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- Cancers, 2022, v. 14, n. 21, p. 5201, doi. 10.3390/cancers14215201
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- Article
A comparison of 2D and 3D magnetic resonance imaging-based intratumoral and peritumoral radiomics models for the prognostic prediction of endometrial cancer: a pilot study.
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- Cancer Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s40644-024-00743-2
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- Article
Broken-fat pad sign: a characteristic radiographic finding to distinguish between knee rheumatoid arthritis and osteoarthritis.
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- Insights into Imaging, 2024, v. 15, n. 1, p. 1, doi. 10.1186/s13244-024-01608-9
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- Article
MRI feature-based radiomics models to predict treatment outcome after stereotactic body radiotherapy for spinal metastases.
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- Insights into Imaging, 2023, v. 14, n. 1, p. 1, doi. 10.1186/s13244-023-01523-5
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- Article
Assessment of axial spondyloarthritis activity using a magnetic resonance imaging-based multi-region-of-interest fusion model.
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- Arthritis Research & Therapy, 2023, v. 25, n. 1, p. 1, doi. 10.1186/s13075-023-03193-6
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- Article