Hendrik Mandelkow, PhD
mandelkow
Physicist turned expert for machine learning and AI with extensive research experience in medical imaging (MRI) and the analysis of physiological time series.
Philips Cambridge MA
Cesar Caballero Gaudes
CesarCaballeroGaudes
Basque Center on Cognition, Brain and Language San Sebastian, Spain
Eneko Uruñuela
eurunuela
🎓 I have a Ph.D. ML for brain imaging.
👨💻 I am currently a postdoctoral researcher working on deep learning models to predict tissue outcome in stroke.
@ucalgary-miplab Calgary, Canada
Joshua Teves
jbteves
Computer Programmer for Peter A. Bandettini's lab at NIH, doing Neuroimaging, sysadmin, and other fun tasks.
@nimh-sfim
Peter J. Molfese
pmolfese
PhD in Psychology. Scientist at NIMH, specializing in quantitative methods and integration of multi-modal neuroimaging methods (fMRI, MEG, EEG, NIRS).
Washington D.C.
Chris Rorden
neurolabusc
My work aims to enhance the diagnosis, prognosis and treatment of language and perceptual impairments experienced following stroke.
Columbia, SC
Taylor Salo
tsalo
I am a postdoctoral fellow at UPenn in the @PennLINC lab. I am interested in performing reproducible, transparent research with fMRI.
University of Pennsylvania Philadelphia, PA