Martha Dumitru-Foltyn

Bonn, NW, Germany

Last Updated: 09/26/2026

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Found 23 publications

Robust Brain Extraction Tool for Nonenhanced CT and CT Angiography: CTA-BET.

Robust Brain Extraction Tool for Nonenhanced CT and CT Angiography: CTA-BET.

Journal: Radiology. Artificial intelligence
Published: October 28, 2025

Predicting molecular types of adult-type diffuse gliomas based on MRI reports with large language models.

Predicting molecular types of adult-type diffuse gliomas based on MRI reports with large language models.

Journal: European radiology
Published: August 05, 2025

Histopathological and molecular characteristics of IDH-wildtype glioblastoma without contrast enhancement: Implications for clinical outcomes.

Histopathological and molecular characteristics of IDH-wildtype glioblastoma without contrast enhancement: Implications for clinical outcomes.

Journal: Neuro-oncology
Published: March 20, 2025

The potential of GPT-4 advanced data analysis for radiomics-based machine learning models.

The potential of GPT-4 advanced data analysis for radiomics-based machine learning models.

Journal: Neuro-oncology advances
Published: January 09, 2025

Metastasis Detection Using True and Artificial T1-Weighted Postcontrast Images in Brain MRI.

Metastasis Detection Using True and Artificial T1-Weighted Postcontrast Images in Brain MRI.

Journal: Investigative radiology
Published: December 17, 2024

Optimizing MRI sequence classification performance: insights from domain shift analysis.

Optimizing MRI sequence classification performance: insights from domain shift analysis.

Journal: European radiology
Published: December 08, 2024

Addressing the Generalizability of AI in Radiology Using a Novel Data Augmentation Framework with Synthetic Patient Image Data: Proof-of-Concept and External Validation for Classification Tasks in Multiple Sclerosis.

Addressing the Generalizability of AI in Radiology Using a Novel Data Augmentation Framework with Synthetic Patient Image Data: Proof-of-Concept and External Validation for Classification Tasks in Multiple Sclerosis.

Journal: Radiology. Artificial intelligence
Published: October 16, 2024

Deep Learning-Based Signal Amplification of T1-Weighted Single-Dose Images Improves Metastasis Detection in Brain MRI.

Deep Learning-Based Signal Amplification of T1-Weighted Single-Dose Images Improves Metastasis Detection in Brain MRI.

Journal: Investigative radiology
Published: October 14, 2024

Unraveling glioblastoma diversity: Insights into methylation subtypes and spatial relationships.

Unraveling glioblastoma diversity: Insights into methylation subtypes and spatial relationships.

Journal: Neuro-oncology advances
Published: July 18, 2024

Deep learning-based defacing tool for CT angiography: CTA-DEFACE.

Deep learning-based defacing tool for CT angiography: CTA-DEFACE.

Journal: European radiology experimental
Published: May 23, 2024

Advancing noninvasive glioma classification with diffusion radiomics: Exploring the impact of signal intensity normalization.

Advancing noninvasive glioma classification with diffusion radiomics: Exploring the impact of signal intensity normalization.

Journal: Neuro-oncology advances
Published: April 10, 2024

Shape matters: unsupervised exploration of IDH-wildtype glioma imaging survival predictors.

Shape matters: unsupervised exploration of IDH-wildtype glioma imaging survival predictors.

Journal: European radiology
Published: March 16, 2024
Showing 1-12 of 23

Last Updated: 09/26/2026