Marc Von Reppert
Leipzig, SN, Germany
Last Updated: 09/26/2026
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Found 15 publications
Enhancing clinical decision-making: An externally validated machine learning model for predicting isocitrate dehydrogenase mutation in gliomas using radiomics from presurgical magnetic resonance imaging.
Journal: Neuro-oncology advances
Published: December 11, 2024
Image-Based Search in Radiology: Identification of Brain Tumor Subtypes within Databases Using MRI-Based Radiomic Features.
Journal: AJNR. American journal of neuroradiology
Published: August 02, 2024
Comparison of volumetric and 2D-based response methods in the PNOC-001 pediatric low-grade glioma clinical trial.
Journal: Neuro-oncology advances
Published: January 15, 2024
Everolimus for Children With Recurrent or Progressive Low-Grade Glioma: Results From the Phase II PNOC001 Trial.
Journal: Journal of clinical oncology : official journal of the American Society of Clinical Oncology
Published: November 18, 2023
Evolution and implementation of radiographic response criteria in neuro-oncology.
Journal: Neuro-oncology advances
Published: October 20, 2023
Comparison of Volumetric and 2D Measurements and Longitudinal Trajectories in the Response Assessment of BRAF V600E-Mutant Pediatric Gliomas in the Pacific Pediatric Neuro-Oncology Consortium Clinical Trial.
Journal: AJNR. American journal of neuroradiology
Published: September 25, 2023
Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas.
Journal: Scientific reports
Published: March 08, 2023
Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction.
Journal: AJNR. American journal of neuroradiology
Published: February 27, 2023
Last Updated: 09/26/2026