Implicit neural representations for accurate estimation of the Standard Model of white matter
Communications BiologyDiffusion magnetic resonance imaging (dMRI) enables non-invasive investigation of tissue microstructure. The Standard Model (SM) of white matter aims to disentangle dMRI signal contributions from intra- and extra-axonal water compartments.
Tom Hendriks +5 more
doaj +1 more source
Machine learning of visual object categorization: an application of the SUSTAIN model [PDF]
, 2014 Formal models of categorization are psychological theories that try to describe the process of categorization in a lawful way, using the language of mathematics.
Cangelosi, A, Carmantini, GS, Wills, AJ
core +1 more source
Image classification using local tensor singular value decompositions
, 2017 From linear classifiers to neural networks, image classification has been a widely explored topic in mathematics, and many algorithms have proven to be effective classifiers.
Horesh, Lior +2 more
core +1 more source
Mathematical Analysis of Ultrafast Ultrasound Imaging [PDF]
SIAM Journal on Applied Mathematics, 2017 25 pages, 13 ...
ALBERTI, GIOVANNI +3 more
openaire +3 more sources
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
FEBS Open Bio, EarlyView.Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
Hashing Based Hierarchical Feature Representation for Hyperspectral Imagery Classification
Remote Sensing, 2017 Integrating spectral and spatial information is proved effective in improving the accuracy of hyperspectral imagery classification. In recent studies, two kinds of approaches are widely investigated: (1) developing a multiple feature fusion (MFF ...
Bin Pan, Zhenwei Shi, Xia Xu, Yi Yang
doaj +1 more source
The Kinematic Image of 2R Dyads and Exact Synthesis of 5R Linkages
, 2015 We characterise the kinematic image of the constraint variety of a 2R dyad as a regular ruled quadric in a 3-space that contains a "null quadrilateral". Three prescribed poses determine, in general, two such quadrics.
Rad, Tudor-Dan, Schröcker, Hans-Peter
core +1 more source
Diagrammatic Reasoning and Modelling in the Imagination: The Secret Weapons of the Scientific Revolution [PDF]
, 2000 Just before the Scientific Revolution, there was a "Mathematical Revolution", heavily based on geometrical and machine diagrams. The "faculty of imagination" (now called scientific visualization) was developed to allow 3D understanding of planetary ...
Franklin, James
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Mathematical Methods in Biomedical Imaging 2014 [PDF]
Computational and Mathematical Methods in Medicine, 2014 The last quarter century has witnessed major advancements that have brought biomedical imaging to a paramount status in life sciences. Generally speaking, the scope of biomedical imaging covers data acquisition, image reconstruction, and image analysis, involving theories, methods, systems, and applications. While many kinds of imaging modalities, such
Peng Feng 0002 +3 more
openaire +2 more sources
Real‐World Performance of CSF Kappa Free Light Chains in the 2024 McDonald Criteria
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Kappa free light chains (KFLCs) in the cerebrospinal fluid (CSF) have a similar performance to CSF‐restricted oligoclonal bands (OCB) for multiple sclerosis (MS) diagnosis. To help with implementation, we set out to resolve several remaining uncertainties: (1) performance in a real‐world cohort and the 2024 McDonald criteria; (2 ...
Maya M. Leibowitz +11 more
wiley +1 more source