Pierre Nedelec

Computational Data Scientist

Publications

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

Differences in educational opportunity predict white matter development.

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

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

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].

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

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