Luke Macyszyn - Concepedia

Author

Luke Macyszyn

University of California, Los Angeles ORCID

Also Known As

Brown, Matthew, L. Macyszyn, Luke J. Macyszyn, Luke Macyszyn, Macyszyn, Luke, S Karnezis

164

Publications

1.5K

Citations

H-Index

Concepts

All Affiliations

University of California, Los Angeles University of Pennsylvania University of California, San Francisco UCLA Medical Center Ronald Reagan UCLA Medical Center

About

Luke Macyszyn is an author at University of California, Los Angeles specializing in medicine, engineering, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	270
2	Medicine	9	9	340
3	Health Sciences	5	5	135
4	Biostatistics	3	3	111
5	Biomedical Engineering	1	1	32

Luke Macyszyn

Publications

1.3K

Citations

H-Index

Page 1

	Year	Citations
Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques Luke Macyszyn, Hamed Akbari, Jared Pisapia, Neuro-Oncology	2015	306
Imaging Surrogates of Infiltration Obtained Via Multiparametric Imaging Pattern Analysis Predict Subsequent Location of Recurrence of Glioblastoma Hamed Akbari, Luke Macyszyn, Xiao Da, Neurosurgery	2016	148
Pattern Analysis of Dynamic Susceptibility Contrast-enhanced MR Imaging Demonstrates Peritumoral Tissue Heterogeneity Hamed Akbari, Luke Macyszyn, Xiao Da, Radiology	2014	98
Direct versus indirect revascularization procedures for moyamoya disease: a comparative effectiveness study Luke Macyszyn, Mark Attiah, S. Tracy, Journal of neurosurgery MoxibustionMoyamoya DiseaseInterventional NeuroradiologyStrokeClinical Epidemiology	2016	95
Isoform-level gene signature improves prognostic stratification and accurately classifies glioblastoma subtypes Sharmistha Pal, Yingtao Bi, Luke Macyszyn, Nucleic Acids Research EngineeringPathologyHigh-grade GliomasPrognostic StratificationGlioma	2014	68
Individualized Map of White Matter Pathways Birkan Tunç, Madhura Ingalhalikar, Drew Parker, Neurosurgery	2015	42
Updated external validation of the SORG machine learning algorithms for prediction of ninety-day and one-year mortality after surgery for spinal metastasis Akash Shah, Aditya V. Karhade, Howard Y. Park, The Spine Journal External ValidationSurgical OncologyMachine LearningMedicinePredictive Analytics	2021	42
Automated Tumor Volumetry Using Computer-Aided Image Segmentation Bilwaj Gaonkar, Luke Macyszyn, Michel Bilello, Academic Radiology Image AnalysisEngineeringMedical ImagingBiomedical ImagingComputer-aided Diagnosis	2015	40
Natural history of the aging spine: a cross-sectional analysis of spinopelvic parameters in the asymptomatic population Mark Attiah, Bilwaj Gaonkar, Yasmine Alkhalid, Journal of Neurosurgery Spine	2019	39
Predicting Spinal Surgery Candidacy From Imaging Data Using Machine Learning Bayard Wilson, Bilwaj Gaonkar, Bryan Yoo, Neurosurgery	2021	39

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