Results 271 to 280 of about 19,135,649 (331)

When Dimensionality Reduction Meets Graph (Drawing) Theory: Introducing a Common Framework, Challenges and Opportunities

open access: yesComputer Graphics Forum, EarlyView.
Abstract In the vast landscape of visualization research, Dimensionality Reduction (DR) and graph analysis are two popular subfields, often essential to most visual data analytics setups. DR aims to create representations to support neighborhood and similarity analysis on complex, large datasets.
F. V. Paulovich   +2 more
wiley   +1 more source

Bipolar and Laplacian montages are suitable for high-gamma modulation language mapping with stereoelectroencephalography. [PDF]

open access: yesFront Neurol
Mitsuhashi T   +8 more
europepmc   +1 more source

Fast HARDI Uncertainty Quantification and Visualization with Spherical Sampling

open access: yesComputer Graphics Forum, EarlyView.
Abstract In this paper, we study uncertainty quantification and visualization of orientation distribution functions (ODF), which corresponds to the diffusion profile of high angular resolution diffusion imaging (HARDI) data. The shape inclusion probability (SIP) function is the state‐of‐the‐art method for capturing the uncertainty of ODF ensembles. The
Tark Patel   +3 more
wiley   +1 more source

Low-dimensional controllability of brain networks. [PDF]

open access: yesPLoS Comput Biol
Ben Messaoud R   +12 more
europepmc   +1 more source

Two‐year outcomes of epicranial focal cortex stimulation in pharmacoresistant focal epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Objective This study was undertaken to report on the long‐term safety and efficacy of epicranial focal cortex stimulation (FCS) using the EASEE device as adjunctive neuromodulatory therapy in improving seizure control in adults with pharmacoresistant epilepsy originating from one predominant epileptogenic zone.
Andreas Schulze‐Bonhage   +12 more
wiley   +1 more source

On Metric Choice in Dimension Reduction for Fréchet Regression

open access: yesInternational Statistical Review, EarlyView.
Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale   +3 more
wiley   +1 more source

Detecting charge transfer at defects in 2D materials with electron ptychography

open access: yesJournal of Microscopy, EarlyView.
Abstract Electronic charge transfer at the atomic scale can reveal fundamental information about chemical bonding, but is far more challenging to directly image than the atomic structure. The charge density is dominated by the atomic nuclei, with bonding causing only a small perturbation. Thus detecting any change due to bonding requires a higher level
Christoph Hofer   +3 more
wiley   +1 more source

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