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Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma



Conventional MRI radiomics in patients with suspected early- or pseudo-progression


Mri Radiomics sentence examples within Breast Mri Radiomics



Breast MRI radiomics for the pretreatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients



Breast MRI radiomics for the pre-treatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients


Mri Radiomics sentence examples within mri radiomics feature



Development and Validation of a MRI-Based Radiomics Prognostic Classifier in Patients with Primary Glioblastoma Multiforme.



Dynamic contrast-enhanced MRI radiomic features predict axillary lymph node metastasis of breast cancer



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Mri Radiomics sentence examples within mri radiomics model



Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma



Machine Learning-Based Radiomics Predicts Radiotherapeutic Response in Patients With Acromegaly



State of the Art: Machine Learning Applications in Glioma Imaging.


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10.1007/s00330-019-06211-x

MRI-based radiomics nomogram may predict the response to induction chemotherapy and survival in locally advanced nasopharyngeal carcinoma


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10.1186/s41747-019-0106-5

The future of radiology is now: the first 100 articles published in European Radiology Experimental


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10.1093/noajnl/vdz014.076

MLTI-17. DIFFERENTIATION OF RADIATION INJURY FROM RECURRENT BRAIN METASTASIS USING COMBINED FET PET/MRI RADIOMICS


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10.3760/CMA.J.ISSN.1004-4221.2019.12.010

Analysis of MRI radiomic features of hypoxic area in nasopharyngeal carcinoma patients


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10.1109/BIBE.2019.00185

Scale-Space DCE-MRI Radiomics Analysis Based on Gabor Filters for Predicting Breast Cancer Therapy Response


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10.1007/s00330-019-06124-9

Magnetic resonance imaging radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study


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10.1007/s00330-019-06558-1

Preoperative prediction of tumour deposits in rectal cancer by an artificial neural network–based US radiomics model



MRI Radiomics Analysis for Predicting the Pathologic Classification and TNM Staging of Thymic Epithelial Tumors: A Pilot Study.


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