2021
Applications of Digital Microscopy and Densely Connected Convolutional Neural Networks for Automated Quantification of Babesia-Infected Erythrocytes
Durant TJS, Dudgeon SN, McPadden J, Simpson A, Price N, Schulz WL, Torres R, Olson EM. Applications of Digital Microscopy and Densely Connected Convolutional Neural Networks for Automated Quantification of Babesia-Infected Erythrocytes. Clinical Chemistry 2021, 68: 218-229. PMID: 34969114, DOI: 10.1093/clinchem/hvab237.Peer-Reviewed Original Research
2017
Very Deep Convolutional Neural Networks for Morphologic Classification of Erythrocytes
Durant T, Olson EM, Schulz WL, Torres R. Very Deep Convolutional Neural Networks for Morphologic Classification of Erythrocytes. Clinical Chemistry 2017, 63: 1847-1855. PMID: 28877918, DOI: 10.1373/clinchem.2017.276345.Peer-Reviewed Original ResearchConceptsConvolutional neural networkNeural networkDeep convolutional neural networkDense shortcut connectionsNeural network designSlow manual processSignificant labor costsClassification of erythrocytesWeb applicationCapable machinesUnseen dataShortcut connectionsManual processEnsemble model predictionsDigital imagesPrecision metricsArchitectural considerationsNetwork designAutomated profilingClassification frequencyMisclassification errorPractical performanceFinal databaseHarmonic meanNetwork
2020
Impact of intra-tumoral heterogeneity detected by next-generation sequencing on acute myeloid leukemia survival
Schulz WL, Rinder HM, Durant TJS, Tormey CA, Torres R, Smith BR, Hager KM, Howe JG, Siddon AJ. Impact of intra-tumoral heterogeneity detected by next-generation sequencing on acute myeloid leukemia survival. Leukemia & Lymphoma 2020, 61: 3269-3271. PMID: 32715805, DOI: 10.1080/10428194.2020.1797016.Peer-Reviewed Original Research
2016
Evaluation of relational and NoSQL database architectures to manage genomic annotations
Schulz WL, Nelson BG, Felker DK, Durant TJ, Torres R. Evaluation of relational and NoSQL database architectures to manage genomic annotations. Journal Of Biomedical Informatics 2016, 64: 288-295. PMID: 27810480, DOI: 10.1016/j.jbi.2016.10.015.Peer-Reviewed Original ResearchConceptsRelational databaseNoSQL databasesQuery efficiencyData managementData storageDocument-oriented NoSQL databaseBiomedical data setsCommon relational databaseQuery retrievalDatabase technologyInformatics infrastructureRelational modelGenomic annotationsIndexingData setsArchitectureRetrievalAnnotationNew technologiesDatabaseTechnologySignificant advantagesRelative advantagesInfrastructureStorage