Wallace is a postdoctoral fellow at the University of Calgary. He obtained his M.Sc. and Ph.D. in Electrical Engineering from the State University of Campinas (UNICAMP), and he has been working with medical imaging, image processing, and deep learning.
The standard treatment for patients with glioblastoma multiforme (GBM), a type of brain cancer, consists of maximal surgical resection followed by radiotherapy and chemotherapy adjuvant by temozolomide (TMZ). However, the combination of radiotherapy and chemotherapy adjuvant by TMZ can potentialize the contrast enhancement and edema similar to tumor progression (TP) after completion of radiotherapy. The increase of the contrast enhancement either stabilizes or improves without a change in therapy. This phenomenon is called pseudoprogression (PsP). The accurate identification of patients with TP or PsP is important to providing the most suitable treatment to a patient. My research focuses on better characterizing cases of TP and PsP by exploring quantitative permeability maps, extracted from advanced magnetic resonance imaging techniques (DCE-MRI) and deep learning methods.