Team Member

team member

Pierre Nedelec

Computational Data Scientist
Radiology

Pierre is a Data & Computer Scientist in the lab, focusing on developing new methods and tools to enable the lab’s various research projects. He strives to develop and adapt both traditional statistical & imaging methods and state-of-the-art deep learning algorithms, and is passionate about teaching these methods to other lab members. Pierre completed a Bachelor in Mathematics & Physics and a Master of Science in Bioengineering from Ecole polytechnique in Paris, and a Master of Translational Medicine between UC Berkeley and UCSF. He previously co-founded a medical device startup with a UCSF researcher and helped a metal 3D printing for medical devices startup grow from 2 employees to 20. In his free time, he loves backpacking, sailing, biking, or playing the piano and guitar to singalong with friends.

Publications: 

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

Radiology. Artificial intelligence

Rudie JD, Saluja R, Weiss DA, Nedelec P, Calabrese E, Colby JB, Laguna B, Mongan J, Braunstein S, Hess CP, Rauschecker AM, Sugrue LP, Villanueva-Meyer JE

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

Human brain mapping

Parekh P, Fan CC, Frei O, Palmer CE, Smith DM, Makowski C, Iversen JR, Pecheva D, Holland D, Loughnan R, Nedelec P, Thompson WK, Hagler DJ, Andreassen OA, Jernigan TL, Nichols TE, Dale AM

White matter and literacy: A dynamic system in flux.

Developmental cognitive neuroscience

Roy E, Richie-Halford A, Kruper J, Narayan M, Bloom D, Nedelec P, Rauschecker AM, Sugrue LP, Brown TT, Jernigan TL, McCandliss BD, Rokem A, Yeatman JD

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

Frontiers in neuroscience

Wahlig SG, Nedelec P, Weiss DA, Rudie JD, Sugrue LP, Rauschecker AM

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

ArXiv

LaBella D, Adewole M, Alonso-Basanta M, Altes T, Anwar SM, Baid U, Bergquist T, Bhalerao R, Chen S, Chung V, Conte GM, Dako F, Eddy J, Ezhov I, Godfrey D, Hilal F, Familiar A, Farahani K, Iglesias JE, Jiang Z, Johanson E, Kazerooni AF, Kent C, Kirkpatrick J, Kofler F, Leemput KV, Li HB, Liu X, Mahtabfar A, McBurney-Lin S, McLean R, Meier Z, Moawad AW, Mongan J, Nedelec P, Pajot M, Piraud M, Rashid A, Reitman Z, Shinohara RT, Velichko Y, Wang C, Warman P, Wiggins W, Aboian M, Albrecht J, Anazodo U, Bakas S, Flanders A, Janas A, Khanna G, Linguraru MG, Menze B, Nada A, Rauschecker AM, Rudie J, Tahon NH, Villanueva-Meyer J, Wiestler B, Calabrese E

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).

Frontiers in oncology

Kline C, Stoller S, Byer L, Samuel D, Lupo JM, Morrison MA, Rauschecker AM, Nedelec P, Faig W, Dubal DB, Fullerton HJ, Mueller S

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

Developmental cognitive neuroscience

Palmer CE, Pecheva D, Iversen JR, Hagler DJ, Sugrue L, Nedelec P, Fan CC, Thompson WK, Jernigan TL, Dale AM

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

Developmental cognitive neuroscience

Palmer CE, Pecheva D, Iversen JR, Hagler DJ, Sugrue L, Nedelec P, Fan CC, Thompson WK, Jernigan TL, Dale AM

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

Radiology. Artificial intelligence

Rauschecker AM, Gleason TJ, Nedelec P, Duong MT, Weiss DA, Calabrese E, Colby JB, Sugrue LP, Rudie JD, Hess CP