Pierre Nedelec, MS's Publications

The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset.

Automated Lesion and Feature Extraction Pipeline for Brain MRIs with Interpretability.

Bladder control side-effects of deep brain stimulation for major depressive disorder related to recruitment of distinct subcomponents of the anterior limb of the internal capsule.

Neurocognitive and brain structure correlates of reading and television habits in early adolescence.

Prediction of cerebrospinal fluid intervention in fetal ventriculomegaly via AI-powered normative modelling.

Rapid resolution of depression and epilepsy following resection of a septal region tumor: illustrative case.

A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation.

Differences in educational opportunity predict white matter development.

FEMA: Fast and efficient mixed-effects algorithm for large sample whole-brain imaging data.

The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset.

White matter and literacy: A dynamic system in flux.

3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies.

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.

An Integrated Analysis of Clinical, Genomic, and Imaging Features Reveals Predictors of Neurocognitive Outcomes in a Longitudinal Cohort of Pediatric Cancer Survivors, Enriched with CNS Tumors (Rad ART Pro).

Corrigendum to "Microstructural development from 9 to 14 years: Evidence from the ABCD Study" [Dev. Cognit. Neurosci. 53 (2022) 101044].

Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm.

Microstructural development from 9 to 14 years: Evidence from the ABCD Study.