Luke Macyszyn
University of California, Los Angeles(US)
Publications by Year
Research Areas
Spine and Intervertebral Disc Pathology, Medical Imaging and Analysis, Spinal Fractures and Fixation Techniques, Glioma Diagnosis and Treatment, Cerebrospinal fluid and hydrocephalus
Most-Cited Works
- → Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques(2015)308 cited
- → Imaging Surrogates of Infiltration Obtained Via Multiparametric Imaging Pattern Analysis Predict Subsequent Location of Recurrence of Glioblastoma(2016)148 cited
- → Pattern Analysis of Dynamic Susceptibility Contrast-enhanced MR Imaging Demonstrates Peritumoral Tissue Heterogeneity(2014)98 cited
- → Direct versus indirect revascularization procedures for moyamoya disease: a comparative effectiveness study(2016)97 cited
- → Isoform-level gene signature improves prognostic stratification and accurately classifies glioblastoma subtypes(2014)68 cited
- → Individualized Map of White Matter Pathways(2015)43 cited
- → Updated external validation of the SORG machine learning algorithms for prediction of ninety-day and one-year mortality after surgery for spinal metastasis(2021)42 cited
- → Automated Tumor Volumetry Using Computer-Aided Image Segmentation(2015)40 cited
- → Natural history of the aging spine: a cross-sectional analysis of spinopelvic parameters in the asymptomatic population(2019)40 cited
- → Predicting Spinal Surgery Candidacy From Imaging Data Using Machine Learning(2021)39 cited