2022
Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities
Merkaj S, Bahar RC, Zeevi T, Lin M, Ikuta I, Bousabarah K, Petersen G, Staib L, Payabvash S, Mongan JT, Cha S, Aboian MS. Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities. Cancers 2022, 14: 2623. PMID: 35681603, PMCID: PMC9179416, DOI: 10.3390/cancers14112623.Peer-Reviewed Original ResearchMachine learning toolsGrade predictionLearning toolsML applicationsClassifier algorithmML modelsClassification methodMedical imagingData sourcesPractices of radiologistsToolGlioma gradingNext stepWorkflowAlgorithmChallengesTechnological innovationImplementationPredictionModelLast decadeSpecific areas
2012
Applications of Imaging Technology in Radiation Research
Lin M, Jackson E. Applications of Imaging Technology in Radiation Research. Radiation Research 2012, 177: 387-397. PMID: 22401349, PMCID: PMC3355534, DOI: 10.1667/rr2696.1.Peer-Reviewed Original ResearchMeSH KeywordsAngiography, Digital SubtractionAnimalsArtifactsContrast MediaDiagnostic ImagingEmbolization, TherapeuticHumansLiver NeoplasmsMagnetic Resonance ImagingMathematicsModels, BiologicalMotionPerfusion ImagingRadiobiologyRadiography, InterventionalStrokeTomography, Spiral ComputedTomography, X-Ray Computed