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OP0150 MACHINE LEARNING APPROACHES FOR RISK MODELLING IN INTERSTITIAL LUNG DISEASE ASSOCIATED WITH SYSTEMIC SCLEROSIS USING HIGH DIMENSIONAL IMAGE ANALYSIS



Computed tomography-based radiomics decodes prognostic and molecular differences in interstitial lung disease related to systemic sclerosis.


Robust Radiomic sentence examples within robust radiomic feature



Robustness and performance of radiomic features in diagnosing cystic renal masses



Co-clinical FDG-PET radiomic signature in predicting response to neoadjuvant chemotherapy in triple-negative breast cancer


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10.3390/cancers13040647

Evaluation of FET PET Radiomics Feature Repeatability in Glioma Patients


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10.1148/radiol.2021202553

The Biological Meaning of Radiomic Features.



Quantitative assessment of acquisition imaging parameters on MRI radiomics features: a prospective anthropomorphic phantom study using a 3D-T2W-TSE sequence for MR-guided-radiotherapy.


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10.1109/MSP.2021.3090674

Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications


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10.1038/s41598-021-99701-2

Robust imaging habitat computation using voxel-wise radiomics features


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10.3390/tomography7010005

Identifying Robust Radiomics Features for Lung Cancer by Using In-Vivo and Phantom Lung Lesions


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10.1016/j.compbiomed.2020.104135

Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients



Assessing the reproducibility of CBCT-derived radiomics features using a novel 3D-printed phantom.


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10.1016/j.wneu.2019.08.148

Accuracy of radiomics-based feature analysis on multiparametric MR images for non-invasive meningioma grading.



Variability in radiomics features among iDose4 reconstruction levels


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