# Luke Macyszyn

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/luke-macyszyn/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,506 |
| Field | Medical Imaging and Analysis |
| h-index | 21 |
| i10-index | 33 |
| Last Known Institution | University of California, Los Angeles |
| OpenAlex ID | https://openalex.org/A5010839618 |
| ORCID iD | 0000-0002-3706-2796 |
| Works | 163 |

## Researcher papers

- [Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques](https://scholariq.org/papers/imaging-patterns-predict-patient-survival-and-molecular-subtype-in-glioblastoma/)
- [Imaging Surrogates of Infiltration Obtained Via Multiparametric Imaging Pattern Analysis Predict Subsequent Location of Recurrence of Glioblastoma](https://scholariq.org/papers/imaging-surrogates-of-infiltration-obtained-via-multiparametric-imaging-pattern/)
- [Direct versus indirect revascularization procedures for moyamoya disease: a comparative effectiveness study](https://scholariq.org/papers/direct-versus-indirect-revascularization-procedures-for-moyamoya-disease-a/)
- [Pattern Analysis of Dynamic Susceptibility Contrast-enhanced MR Imaging Demonstrates Peritumoral Tissue Heterogeneity](https://scholariq.org/papers/pattern-analysis-of-dynamic-susceptibility-contrast-enhanced-mr-imaging/)
- [Isoform-level gene signature improves prognostic stratification and accurately classifies glioblastoma subtypes](https://scholariq.org/papers/isoform-level-gene-signature-improves-prognostic-stratification-and-accurately/)
- [Individualized Map of White Matter Pathways](https://scholariq.org/papers/individualized-map-of-white-matter-pathways/)
- [Updated external validation of the SORG machine learning algorithms for prediction of ninety-day and one-year mortality after surgery for spinal metastasis](https://scholariq.org/papers/updated-external-validation-of-the-sorg-machine-learning-algorithms-for/)
- [Natural history of the aging spine: a cross-sectional analysis of spinopelvic parameters in the asymptomatic population](https://scholariq.org/papers/natural-history-of-the-aging-spine-a-cross-sectional-analysis-of-spinopelvic/)
- [Automated Tumor Volumetry Using Computer-Aided Image Segmentation](https://scholariq.org/papers/automated-tumor-volumetry-using-computer-aided-image-segmentation/)
- [Predicting Spinal Surgery Candidacy From Imaging Data Using Machine Learning](https://scholariq.org/papers/predicting-spinal-surgery-candidacy-from-imaging-data-using-machine-learning/)
- [The Perceived Roles of AI in Clinical Practice: National Survey of 941 Academic Physicians](https://scholariq.org/papers/the-perceived-roles-of-ai-in-clinical-practice-national-survey-of-941-academic/)

## Researcher topics

- [Medical Imaging and Analysis](https://scholariq.org/topics/medical-imaging-and-analysis/)
- [Spine and Intervertebral Disc Pathology](https://scholariq.org/topics/spine-and-intervertebral-disc-pathology/)
- [Spinal Fractures and Fixation Techniques](https://scholariq.org/topics/spinal-fractures-and-fixation-techniques/)
- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)
- [Mosquito-borne diseases and control](https://scholariq.org/topics/mosquito-borne-diseases-and-control/)

## Researcher university

- [University of California, Los Angeles](https://scholariq.org/institutions/university-of-california-los-angeles/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.