Results 101 to 110 of about 308,320 (313)

An error analysis of probabilistic fibre tracking methods: average curves optimization [PDF]

, 2009
Fibre tractography using diffusion tensor imaging is a promising method for estimating the pathways of white matter tracts in the human brain. The success of fibre tracking methods ultimately depends upon the accuracy of the fibre tracking algorithms and
Ratnarajah, N., Simmons, A., Davydov, O., Hojjat, A.   +3 more
core   +2 more sources

Discovery of Relationships Between Long Non-Coding RNAs and Genes in Human Diseases Based on Tensor Completion

IEEE Access, 2018
Thousands of long non-coding RNAs (lncRNAs) are encoded by mammalian genomes and play important roles in various biological processes, including the regulation of gene transcription.
Chen Peng, Liang Zou, De-Shuang Huang
doaj   +1 more source

Tensor-valued diffusion encoding for diffusional variance decomposition (DIVIDE) : Technical feasibility in clinical MRI systems

, 2019
Microstructure imaging techniques based on tensor-valued diffusion encoding have gained popularity within the MRI research community. Unlike conventional diffusion encoding—applied along a single direction in each shot—tensor-valued encoding employs ...
Nilsson, Markus, Lätt, Jimmy, Markus Nilsson, Szczepankiewicz, Filip, Jimmy Lätt, Sjölund, Jens, Filip Szczepankiewicz (421751), Sjölund, Jens,, Filip Szczepankiewicz, Latt, Jimmy,, Szczepankiewicz, Filip,, Jens Sjölund, Freddy Ståhlberg, Freddy Ståhlberg (6523895), Nilsson, Markus,, Stahlberg, Freddy,, Markus Nilsson (421753), Jens Sjölund (6523892), Jimmy Lätt (421752), Ståhlberg, Freddy, Lund University.   +20 more
core   +1 more source

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

Arthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein, Jennifer L. F. Lee, Evelyne Vinet, Arielle Mendel, Christian A. Pineau, Fares Kalache, Louis‐Pierre Grenier, Sasha Bernatsky   +7 more
wiley   +1 more source

Efficient Tensor Sensing for RF Tomographic Imaging on GPUs

Future Internet, 2019
Radio-frequency (RF) tomographic imaging is a promising technique for inferring multi-dimensional physical space by processing RF signals traversed across a region of interest. Tensor-based approaches for tomographic imaging are superior at detecting the
Da Xu, Tao Zhang
doaj   +1 more source

Factors Associated With Fibromyalgia Diagnosis Among People Meeting Criteria: Results From UK Biobank

Arthritis Care &Research, EarlyView.
Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim, Gary J. Macfarlane, Marcus J. Beasley   +2 more
wiley   +1 more source

Correcting variance and polarity indeterminacies of extracted components by canonical polyadic decomposition

Brain-Apparatus Communication
Background Back-projection has been used to correct the variance and polarity indeterminacies for the independent component analysis. The variance and polarity of the components are essential features of neuroscience studies.Objective This work extends ...
Yuxing Hao, Huanjie Li, Guoqiang Hu, Wei Zhao, Fengyu Cong   +4 more
doaj   +1 more source

Tensor Discriminant Analysis via Compact Feature Representation for Hyperspectral Images Dimensionality Reduction

Remote Sensing, 2019
Dimensionality reduction is of great importance which aims at reducing the spectral dimensionality while keeping the desirable intrinsic structure information of hyperspectral images. Tensor analysis which can retain both spatial and spectral information
Jinliang An, Yuzhen Song, Yuwei Guo, Xiaoxiao Ma, Xiangrong Zhang   +4 more
doaj   +1 more source

Tensor-variate restricted Boltzmann machines

, 2015
Restricted Boltzmann Machines (RBMs) are an important class of latent variable models for representing vector data. An under-explored area is multimode data, where each data point is a matrix or a tensor. Standard RBMs applying to such data would require
TD Nguyen (9887741), Truyen Tran (13098360), Q Phung (14545181), Svetha Venkatesh (13096653)   +3 more
core   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source