David Fortin

TL;DR: The purpose of the proposed method, named RecoBundles, is to segment white matter bundles and make virtual dissection easier to perform and robust and adaptive to incomplete data and bundles with missing components.

TL;DR: This paper presented the largest FL study to date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature.

TL;DR: Preliminary data support radiosurgery after resection rather than traditional radiation therapy in most patients, and local control at the resection site was achieved in 73% of patients at a median follow-up period of 13 months.

TL;DR: Oligodendrogliomas are underdiagnosed and one unfortunate implication is that a large number of patients may be receiving suboptimal care, so a simplification in grading of oligodendedroglioma to two grades would reduce the confusion surrounding the classification and better define prognosis and response to treatment modalities.