Domenique J. Muller
Amsterdam, NH, Netherlands
Last Updated: 09/26/2026
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Found 15 publications
Prognostic value of manual versus automatic methods for assessing extents of resection and residual tumor volume in glioblastoma.
Journal: Journal of neurosurgery
Published: February 20, 2024
Multi-class glioma segmentation on real-world data with missing MRI sequences: comparison of three deep learning algorithms.
Journal: Scientific reports
Published: August 03, 2023
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks.
Journal: Scientific reports
Published: May 16, 2023
Preoperative Brain Tumor Imaging: Models and Software for Segmentation and Standardized Reporting.
Journal: Frontiers in neurology
Published: April 29, 2022
Between-hospital variation in time to glioblastoma surgery: a report from the Quality Registry Neuro Surgery in the Netherlands.
Journal: Journal of neurosurgery
Published: November 08, 2021
Timing of glioblastoma surgery and patient outcomes: a multicenter cohort study.
Journal: Neuro-oncology advances
Published: May 31, 2021
Glioblastoma Surgery Imaging-Reporting and Data System: Standardized Reporting of Tumor Volume, Location, and Resectability Based on Automated Segmentations.
Journal: Cancers
Published: April 30, 2021
On the cutting edge of glioblastoma surgery: where neurosurgeons agree and disagree on surgical decisions.
Journal: Journal of neurosurgery
Published: July 28, 2020
Accurate MR Image Registration to Anatomical Reference Space for Diffuse Glioma.
Journal: Frontiers in neuroscience
Published: December 02, 2019
Quantifying eloquent locations for glioblastoma surgery using resection probability maps.
Journal: Journal of neurosurgery
Published: November 19, 2019
Robust Deep Learning-based Segmentation of Glioblastoma on Routine Clinical MRI Scans Using Sparsified Training.
Journal: Radiology. Artificial intelligence
Published: June 13, 2019
Last Updated: 09/26/2026