381 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of TorontoCA46 papers
- SickKids FoundationCA15 papers
- University College LondonGB11 papers
- Public Health OntarioCA8 papers
- Institute for Clinical Evaluative SciencesCA7 papers
- Stanford UniversityUS5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Toronto Western HospitalCA4 papers
- University of California, BerkeleyUS4 papers
- Centro de Investigación y Docencia EconómicasMX3 papers
- Harvard UniversityUS3 papers
- Johns Hopkins UniversityUS3 papers
6 papers · 1 filter
Learning Based Segmentation of CT Brain Images: Application to Post-Operative Hydrocephalic Scans
Venkateswararao Cherukuri, Peter Ssenyonga, Benjamin C. Warf +3
Objective: Hydrocephalus is a medical condition in which there is an abnormal accumulation of cerebrospinal fluid (CSF) in the brain. Segmentation of brain imagery into brain tissu…
Consciousness as a global property of brain dynamic activity
D. M. Mateos, R. Wennberg, R. Guevara +1
We seek general principles of the structure of the cellular collective activity associated with conscious awareness. Can we obtain evidence for features of the optimal brain organi…
Charge Pattern Matching as a "Fuzzy" Mode of Molecular Recognition for the Functional Phase Separations of Intrinsically Disordered Proteins
Yi-Hsuan Lin, Jacob P. Brady, Julie D. Forman-Kay +1
Biologically functional liquid-liquid phase separation of intrinsically disordered proteins (IDPs) is driven by interactions encoded by their amino acid sequences. Little is curren…
Phase separation and single-chain compactness of charged disordered proteins are strongly correlated
Yi-Hsuan Lin, Hue Sun Chan
Liquid-liquid phase separation of intrinsically disordered proteins (IDPs) is a major undergirding factor in the regulated formation of membraneless organelles in the cell. The pha…
Detecting dynamical changes in time series by using the Jensen Shannon Divergence
D. M. Mateos, L. Riveaud, P. W. Lamberti
Most of the time series in nature are a mixture of signals with deterministic and random dynamics. Thus the distinction between these two characteristics becomes important. Disting…
Measures of Entropy and Complexity in altered states of consciousness
D. M. Mateos, R. Guevara Erra, R. Wennberg +1
Quantification of complexity in neurophysiological signals has been studied using different methods, especially those from information or dynamical system theory. These studies rev…