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About the database ScholarIQanswers from OpenAlex & ORCID
How has Luke Macyszyn's publication output changed over time?
ScholarIQpublication output · 2014–2025
Output declined50% over the shown period — from 2 works in 2014 to 1 in 2025.
2
3
2
1
2
1
201420152016201920212025
What are the most-cited papers on Luke Macyszyn?
ScholarIQmost cited works
Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques
Luke Macyszyn, Hamed Akbari, Jared Pisapia, Xiao Da, Mark Attiah, Vadim Pigrish, Yingtao Bi, Sharmistha Pal, Ramana V. Davuluri, Laura Roccograndi, Nadia Dahmane, Maria Martinez‐Lage, George Biros, Ronald L. Wolf, Michel Bilello, Donald M. O’Rourke, Christos Davatzikos
S106908163. 2015311 CitationsOPEN ACCESS
Imaging Surrogates of Infiltration Obtained Via Multiparametric Imaging Pattern Analysis Predict Subsequent Location of Recurrence of Glioblastoma
Hamed Akbari, Luke Macyszyn, Xiao Da, Michel Bilello, Ronald L. Wolf, Maria Martinez‐Lage, George Biros, Michelle Alonso‐Basanta, Donald M. O’Rourke, Christos Davatzikos
Neurosurgery. 2016157 CitationsOPEN ACCESS
Direct versus indirect revascularization procedures for moyamoya disease: a comparative effectiveness study
Luke Macyszyn, Mark Attiah, S. Tracy, Zarina S. Ali, Ryan W F Faught, Alisha Hossain, Karen de Man, Hiren Patel, Rosanna Sobota, Eric L. Zager, Sherman C. Stein
Journal of neurosurgery. 2016101 CitationsOPEN ACCESS
Pattern Analysis of Dynamic Susceptibility Contrast-enhanced MR Imaging Demonstrates Peritumoral Tissue Heterogeneity
Hamed Akbari, Luke Macyszyn, Xiao Da, Ronald L. Wolf, Michel Bilello, Ragini Verma, Donald M. O’Rourke, Christos Davatzikos
S50280174. 2014100 CitationsOPEN ACCESS
Isoform-level gene signature improves prognostic stratification and accurately classifies glioblastoma subtypes
Sharmistha Pal, Yingtao Bi, Luke Macyszyn, Louise C. Showe, Donald M. O’Rourke, Ramana V. Davuluri
S134668137. 201470 CitationsOPEN ACCESS
Related on ScholarIQ
University of California, Los Angeles
Institution
Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques
Paper
Imaging Surrogates of Infiltration Obtained Via Multiparametric Imaging Pattern Analysis Predict Subsequent Location of Recurrence of Glioblastoma
Paper
Direct versus indirect revascularization procedures for moyamoya disease: a comparative effectiveness study
Paper
Pattern Analysis of Dynamic Susceptibility Contrast-enhanced MR Imaging Demonstrates Peritumoral Tissue Heterogeneity
Paper
Isoform-level gene signature improves prognostic stratification and accurately classifies glioblastoma subtypes
Paper