2023
Developing an Open Access Brain Metastasis Database: Yale Brain Metastasis Database
Ramakrishnan D, Jekel L, Sala M, Kaur M, Janas A, Petersen G, Bousabarah K, Lin M, Merkaj S, von Reppert M, Aboian M. Developing an Open Access Brain Metastasis Database: Yale Brain Metastasis Database. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/0403.Peer-Reviewed Original ResearchPredicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning
Kucukkaya A, Zeevi T, Chai N, Raju R, Haider S, Elbanan M, Petukhova-Greenstein A, Lin M, Onofrey J, Nowak M, Cooper K, Thomas E, Santana J, Gebauer B, Mulligan D, Staib L, Batra R, Chapiro J. Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning. Scientific Reports 2023, 13: 7579. PMID: 37165035, PMCID: PMC10172370, DOI: 10.1038/s41598-023-34439-7.Peer-Reviewed Original Research
2022
Integration of Machine Learning Into Clinical Radiology Practice – Development of a Machine Learning Tool for Preoperative Glioma Grade Prediction (P14-9.002)
Merkaj S, Zeevi T, Bousabarah K, Kazarian E, Lin M, Pala A, Petersen G, Jekel L, Bahar R, Tillmanns N, Cui J, Ikuta I, Bronen R, Fadel S, Westerhoff M, Omuro A, Aboian M. Integration of Machine Learning Into Clinical Radiology Practice – Development of a Machine Learning Tool for Preoperative Glioma Grade Prediction (P14-9.002). Neurology 2022, 98 DOI: 10.1212/wnl.98.18_supplement.3243.Peer-Reviewed Original ResearchMachine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis
Bahar RC, Merkaj S, Petersen G, Tillmanns N, Subramanian H, Brim WR, Zeevi T, Staib L, Kazarian E, Lin M, Bousabarah K, Huttner AJ, Pala A, Payabvash S, Ivanidze J, Cui J, Malhotra A, Aboian MS. Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis. Frontiers In Oncology 2022, 12: 856231. PMID: 35530302, PMCID: PMC9076130, DOI: 10.3389/fonc.2022.856231.Peer-Reviewed Original ResearchMachine learning modelsLearning modelConvolutional neural networkDeep learning studiesLarge training datasetsGrade predictionSupport vector machineApplication of MLNeural networkConventional machineVector machineTraining datasetBest performing modelCommon algorithmsModel performanceEssential metricMean prediction accuracyHigh predictive accuracyPrediction accuracyPerforming modelMachinePrediction modelDiagnosis statementsAccuracy statementsLearning studiesIdentifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries
Tillmanns N, Lum AE, Cassinelli G, Merkaj S, Verma T, Zeevi T, Staib L, Subramanian H, Bahar RC, Brim W, Lost J, Jekel L, Brackett A, Payabvash S, Ikuta I, Lin M, Bousabarah K, Johnson MH, Cui J, Malhotra A, Omuro A, Turowski B, Aboian MS. Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries. Neuro-Oncology Advances 2022, 4: vdac093. PMID: 36071926, PMCID: PMC9446682, DOI: 10.1093/noajnl/vdac093.Peer-Reviewed Original ResearchGlioma segmentationResearch algorithmSegmentation of gliomasHigh accuracy resultsML algorithmsApplicable machineAccuracy resultsTCIA datasetSegmentationAlgorithmMachinePatient dataSystematic literature reviewOverfittingData extractionDatasetBratDatabaseRecent advancesResearch literatureLimitationsExtractionCurrent research literatureMethod
2021
OTHR-12. The development of machine learning algorithms for the differentiation of glioma and brain metastases – a systematic review
Brim W, Jekel L, Petersen G, Subramanian H, Zeevi T, Payabvash S, Bousabarah K, Lin M, Cui J, Brackett A, Mahajan A, Johnson M, Mahajan A, Aboian M. OTHR-12. The development of machine learning algorithms for the differentiation of glioma and brain metastases – a systematic review. Neuro-Oncology Advances 2021, 3: iii17-iii17. PMCID: PMC8351249, DOI: 10.1093/noajnl/vdab071.067.Peer-Reviewed Original ResearchConvolutional neural networkDeep learningML algorithmsMachine Learning AlgorithmsApplication of machineClassical ML algorithmsDevelopment of machineSupport vector machine algorithmVector machine algorithmArtificial intelligenceMachine learningSearch strategyDL modelsLearning algorithmFeature extractionNeural networkMachine algorithmAverage accuracyML methodsCML algorithmAlgorithmHigh accuracyLearningMachineAccuracy