Works matching DE "RADIOMICS"
Results: 3427
Research on imaging biomarkers for chronic subdural hematoma recurrence.
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- Medical & Biological Engineering & Computing, 2025, v. 63, n. 3, p. 823, doi. 10.1007/s11517-024-03232-7
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Radiomics of pituitary adenoma using computer vision: a review.
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- Medical & Biological Engineering & Computing, 2024, v. 62, n. 12, p. 3581, doi. 10.1007/s11517-024-03163-3
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Impact of harmonization on the reproducibility of MRI radiomic features when using different scanners, acquisition parameters, and image pre-processing techniques: a phantom study.
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- Medical & Biological Engineering & Computing, 2024, v. 62, n. 8, p. 2319, doi. 10.1007/s11517-024-03071-6
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A transfer learning approach on MRI-based radiomics signature for overall survival prediction of low-grade and high-grade gliomas.
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- Medical & Biological Engineering & Computing, 2023, v. 61, n. 10, p. 2699, doi. 10.1007/s11517-023-02875-2
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Noninvasive Grading of Liver Fibrosis Based on Texture Analysis From MRI‐Derived Radiomics.
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- NMR in Biomedicine, 2025, v. 38, n. 1, p. 1, doi. 10.1002/nbm.5301
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Clinical application of radiomics for the prediction of treatment outcome and survival in patients with renal cell carcinoma: a systematic review.
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- World Journal of Urology, 2024, v. 42, n. 1, p. 1, doi. 10.1007/s00345-024-05247-z
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Risk stratification by nomogram of deep learning radiomics based on multiparametric magnetic resonance imaging in knee meniscus injury.
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- International Orthopaedics, 2023, v. 47, n. 10, p. 2497, doi. 10.1007/s00264-023-05875-x
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Applications of machine learning to MR imaging of pediatric low-grade gliomas.
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- Child's Nervous System, 2024, v. 40, n. 10, p. 3027, doi. 10.1007/s00381-024-06522-5
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CT-based morphologic and radiomics features for the classification of MYCN gene amplification status in pediatric neuroblastoma.
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- Child's Nervous System, 2022, v. 38, n. 8, p. 1487, doi. 10.1007/s00381-022-05534-3
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Radiomics signature for the prediction of progression-free survival and radiotherapeutic benefits in pediatric medulloblastoma.
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- Child's Nervous System, 2022, v. 38, n. 6, p. 1085, doi. 10.1007/s00381-022-05507-6
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Predictive value of machine learning-based T2-weighted MRI radiomics in the diagnosis of polycystic ovary syndrome.
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- Northern Clinics of Istanbul, 2025, v. 12, n. 1, p. 69, doi. 10.14744/nci.2024.34033
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Radiomic Parameters in Periapical Lesions: A CBCT Analysis Evaluating Volumetric Size, Cortical Expansion, Erosion, and Shape.
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- European Endodontic Journal, 2024, v. 9, n. 4, p. 394, doi. 10.14744/eej.2024.45220
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QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research.
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- European Radiology Experimental, 2023, v. 7, n. 1, p. 1, doi. 10.1186/s41747-023-00326-z
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Are deep models in radiomics performing better than generic models? A systematic review.
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- European Radiology Experimental, 2023, v. 7, n. 1, p. 1, doi. 10.1186/s41747-023-00325-0
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Beyond diagnosis: is there a role for radiomics in prostate cancer management?
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- European Radiology Experimental, 2023, v. 7, n. 1, p. 1, doi. 10.1186/s41747-023-00321-4
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Enhancing the stability of CT radiomics across different volume of interest sizes using parametric feature maps: a phantom study.
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- European Radiology Experimental, 2022, v. 6, n. 1, p. 1, doi. 10.1186/s41747-022-00297-7
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Inferring FDG-PET-positivity of lymph node metastases in proven lung cancer from contrast-enhanced CT using radiomics and machine learning.
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- European Radiology Experimental, 2022, v. 6, n. 1, p. 1, doi. 10.1186/s41747-022-00296-8
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Enhancing the stability of CT radiomics across different volume of interest sizes using parametric feature maps: a phantom study.
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- European Radiology Experimental, 2022, v. 6, n. 1, p. 1, doi. 10.1186/s41747-022-00297-7
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Inferring FDG-PET-positivity of lymph node metastases in proven lung cancer from contrast-enhanced CT using radiomics and machine learning.
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- European Radiology Experimental, 2022, v. 6, n. 1, p. 1, doi. 10.1186/s41747-022-00296-8
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Prediction of lipomatous soft tissue malignancy on MRI: comparison between machine learning applied to radiomics and deep learning.
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- European Radiology Experimental, 2022, v. 6, n. 1, p. 1, doi. 10.1186/s41747-022-00295-9
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The effect of preprocessing filters on predictive performance in radiomics.
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- European Radiology Experimental, 2022, v. 6, n. 1, p. 1, doi. 10.1186/s41747-022-00294-w
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Radiomics in photon-counting dedicated breast CT: potential of texture analysis for breast density classification.
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- European Radiology Experimental, 2022, v. 6, n. 1, p. 1, doi. 10.1186/s41747-022-00285-x
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Radiomics in photon-counting dedicated breast CT: potential of texture analysis for breast density classification.
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- European Radiology Experimental, 2022, v. 6, n. 1, p. 1, doi. 10.1186/s41747-022-00285-x
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Radiomics and artificial intelligence in prostate cancer: new tools for molecular hybrid imaging and theragnostics.
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- European Radiology Experimental, 2022, v. 6, n. 1, p. 1, doi. 10.1186/s41747-022-00282-0
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MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study.
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- European Radiology Experimental, 2022, v. 6, n. 1, p. 1, doi. 10.1186/s41747-022-00272-2
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Advances in liver US, CT, and MRI: moving toward the future.
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- European Radiology Experimental, 2021, v. 5, n. 1, p. 1, doi. 10.1186/s41747-021-00250-0
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A decision support system based on radiomics and machine learning to predict the risk of malignancy of ovarian masses from transvaginal ultrasonography and serum CA-125.
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- European Radiology Experimental, 2021, v. 5, n. 1, p. 1, doi. 10.1186/s41747-021-00226-0
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MRI texture feature repeatability and image acquisition factor robustness, a phantom study and in silico study.
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- European Radiology Experimental, 2021, v. 5, n. 1, p. 1, doi. 10.1186/s41747-020-00199-6
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Reproducibility of lung cancer radiomics features extracted from data-driven respiratory gating and free-breathing flow imaging in [<sup>18</sup>F]-FDG PET/CT.
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- European Journal of Hybrid Imaging, 2022, v. 6, n. 1, p. 1, doi. 10.1186/s41824-022-00153-2
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An interpretable multiparametric radiomics model of basal ganglia to predict dementia conversion in Parkinson's disease.
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- NPJ Parkinson's Disease, 2023, v. 9, n. 1, p. 1, doi. 10.1038/s41531-023-00566-1
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Radiomics analysis of uterine tumors in 18F-fluorodeoxyglucose positron emission tomography for prediction of lymph node metastases in endometrial carcinoma.
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- Turkish Journal of Medical Sciences, 2022, v. 52, n. 3, p. 762, doi. 10.55730/1300-0144.5371
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Evaluation of systemic involvement of Coronavirus disease 2019 through spleen; size and texture analysis.
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- Turkish Journal of Medical Sciences, 2021, v. 51, n. 3, p. 972, doi. 10.3906/sag-2009-270
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Radiomics and radiogenomics in lung cancer – a short review.
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- Oncolog-Hematolog, 2021, n. 54, p. 29, doi. 10.26416/onhe.5.1.2021.4573
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Radiological assessment of peritoneal carcinomatosis: a primer for resident.
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- European Review for Medical & Pharmacological Sciences, 2022, v. 26, n. 8, p. 2875
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A radiomics method based on MR FS-T2WI sequence for diagnosing of autosomal dominant polycystic kidney disease progression.
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- European Review for Medical & Pharmacological Sciences, 2021, v. 25, n. 18, p. 5769
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Pancreatic cancer detection and characterization: state of the art and radiomics.
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- European Review for Medical & Pharmacological Sciences, 2021, v. 25, n. 10, p. 3684
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Evidence‐Based Data on the Diagnostic Role and Clinical Usefulness of [<sup>18</sup>F]FDG PET/CT in Endocarditis and Cardiac Device Infections.
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- Echocardiography, 2024, v. 41, n. 11, p. 1, doi. 10.1111/echo.15934
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Using ultrasound radiomics to forecast adverse cardiovascular events in patients with acute coronary syndrome after percutaneous coronary intervention.
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- Echocardiography, 2024, v. 41, n. 8, p. 1, doi. 10.1111/echo.15907
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Brain tumour segmentation and survival prognostication using 3D radiomics features and machine learning algorithms.
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- Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation, 2023, v. 11, n. 5, p. 1803, doi. 10.1080/21681163.2023.2189487
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Robust whole-tumour 3D volumetric CT-based radiomics approach for predicting the WHO/ISUP grade of a ccRCC tumour.
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- Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation, 2023, v. 11, n. 3, p. 665, doi. 10.1080/21681163.2022.2103449
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Predicting Histopathological Grading of Adult Gliomas Based On Preoperative Conventional Multimodal MRI Radiomics: A Machine Learning Model.
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- Brain Sciences (2076-3425), 2023, v. 13, n. 6, p. 912, doi. 10.3390/brainsci13060912
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Based on Tau PET Radiomics Analysis for the Classification of Alzheimer's Disease and Mild Cognitive Impairment.
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- Brain Sciences (2076-3425), 2023, v. 13, n. 2, p. 367, doi. 10.3390/brainsci13020367
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A Novel Deep Learning Radiomics Model to Discriminate AD, MCI and NC: An Exploratory Study Based on Tau PET Scans from ADNI †.
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- Brain Sciences (2076-3425), 2022, v. 12, n. 8, p. 1067, doi. 10.3390/brainsci12081067
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Prediction Model of Hemorrhage Transformation in Patient with Acute Ischemic Stroke Based on Multiparametric MRI Radiomics and Machine Learning.
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- Brain Sciences (2076-3425), 2022, v. 12, n. 7, p. N.PAG, doi. 10.3390/brainsci12070858
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Diffusion Tensor Imaging Radiomics for Diagnosis of Parkinson's Disease.
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- Brain Sciences (2076-3425), 2022, v. 12, n. 7, p. N.PAG, doi. 10.3390/brainsci12070851
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Relapsing High—Grade Glioma from Peritumoral Zone: Critical Review of Radiotherapy Treatment Options.
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- Brain Sciences (2076-3425), 2022, v. 12, n. 4, p. 416, doi. 10.3390/brainsci12040416
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CT in the Differentiation of Gliomas from Brain Metastases: The Radiomics Analysis of the Peritumoral Zone.
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- Brain Sciences (2076-3425), 2022, v. 12, n. 1, p. 109, doi. 10.3390/brainsci12010109
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Combining Low-Dose Computer-Tomography-Based Radiomics and Serum Metabolomics for Diagnosis of Malignant Nodules in Participants of Lung Cancer Screening Studies.
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- Biomolecules (2218-273X), 2024, v. 14, n. 1, p. 44, doi. 10.3390/biom14010044
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Machine learning and radiomics for predicting efficacy of programmed cell death protein 1 inhibitor for small cell lung cancer: A multicenter cohort study.
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- Clinical & Translational Medicine, 2024, v. 14, n. 6, p. 1, doi. 10.1002/ctm2.1673
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Novel deep learning radiomics model for preoperative evaluation of hepatocellular carcinoma differentiation based on computed tomography data.
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- Clinical & Translational Medicine, 2021, v. 11, n. 11, p. 1, doi. 10.1002/ctm2.570
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