3 papers
eess.IV2022
Constrained self-supervised method with temporal ensembling for fiber bundle detection on anatomic tracing data
Vaanathi Sundaresan, Julia F. Lehman, Sean Fitzgibbon +3
Anatomic tracing data provides detailed information on brain circuitry essential for addressing some of the common errors in diffusion MRI tractography. However, automated detectio…
cs.CV2021
ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans
Cher Bass, Mariana da Silva, Carole Sudre +7
An important goal of medical imaging is to be able to precisely detect patterns of disease specific to individual scans; however, this is challenged in brain imaging by the degree…
cs.NE2016
Reducing training requirements through evolutionary based dimension reduction and subject transfer
Adham Atyabi, Martin Luerssena, Sean P. Fitzgibbon +2
Training Brain Computer Interface (BCI) systems to understand the intention of a subject through Electroencephalogram (EEG) data currently requires multiple training sessions with…