2020
Sparse Data–Driven Learning for Effective and Efficient Biomedical Image Segmentation
Onofrey JA, Staib LH, Huang X, Zhang F, Papademetris X, Metaxas D, Rueckert D, Duncan JS. Sparse Data–Driven Learning for Effective and Efficient Biomedical Image Segmentation. Annual Review Of Biomedical Engineering 2020, 22: 1-27. PMID: 32169002, PMCID: PMC9351438, DOI: 10.1146/annurev-bioeng-060418-052147.Peer-Reviewed Original Research
2011
Vessel Connectivity Using Murray’s Hypothesis
Jiang Y, Zhuang ZW, Sinusas AJ, Staib LH, Papademetris X. Vessel Connectivity Using Murray’s Hypothesis. Lecture Notes In Computer Science 2011, 14: 528-536. PMID: 22003740, PMCID: PMC3367766, DOI: 10.1007/978-3-642-23626-6_65.Peer-Reviewed Original Research
1999
A minimax entropy registration framework for patient setup verification in radiotherapy
Bansal R, Staib L, Chen Z, Rangarajan A, Knisely J, Nath R, Duncan J. A minimax entropy registration framework for patient setup verification in radiotherapy. Computer Assisted Surgery 1999, 4: 287-304. PMID: 10631372, DOI: 10.1002/(sici)1097-0150(1999)4:6<287::aid-igs1>3.0.co;2-9.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsEntropyHumansModels, TheoreticalPhantoms, ImagingRadiotherapyTomography, X-Ray Computed