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Medical Image Analysis|February 9, 2016
Automated classification of brain tumor type in whole-slide digital pathology images using local representative tilesJocelyn Barker, Assaf Hoogi, Adrien Depeursinge, et al.Journal of Digital Imaging|August 10, 2007
Protégé: a tool for managing and using terminology in radiology applicationsDaniel L Rubin, Natalya F Noy, Mark A MusenStudies in Health Technology and Informatics|September 14, 2004
Using a Bayesian network to predict the probability and type of breast cancer represented by microcalcifications on mammographyElizabeth S Burnside, Daniel L Rubin, Ross D ShachterComputer Methods and Programs in Biomedicine|June 22, 2013
Snake model-based lymphoma segmentation for sequential CT imagesQiang Chen, Fang Quan, Jiajing Xu, et al.Journal of Digital Imaging|April 16, 2011
Integration of imaging signs into RadLexMatthew W Shore, Daniel L Rubin, Charles E KahnJournal of Digital Imaging|October 11, 2017
Quantitative Image Feature Engine (QIFE): an Open-Source, Modular Engine for 3D Quantitative Feature Extraction from Volumetric Medical ImagesSebastian Echegaray, Shaimaa Bakr, Daniel L Rubin, et al.Academic Radiology|January 24, 2006
Coverage of emergency after-hours ultrasound cases: survey of practices at U.S. Teaching hospitalsTerry S Desser, Daniel L Rubin, Pamela Schraedley-DesmondIEEE Transactions on Medical Imaging|January 24, 2017
Adaptive Estimation of Active Contour Parameters Using Convolutional Neural Networks and Texture AnalysisAssaf Hoogi, Arjun Subramaniam, Rishi Veerapaneni, et al.Journal of Digital Imaging|June 10, 2006
An ontology for PACS integrationCharles E Kahn, David S Channin, Daniel L RubinAMIA ... Annual Symposium Proceedings. AMIA Symposium|November 13, 2008
iPad: Semantic annotation and markup of radiological imagesDaniel L Rubin, Cesar Rodriguez, Priyanka Shah, et al.Pageof 29