Realistic Image Normalization for Multi-Domain Segmentation
Sign Up to like & getrecommendations! Published in 2021 at "Medical image analysis"
DOI: 10.1016/j.media.2021.102191
Abstract: Image normalization is a building block in medical image analysis. Conventional approaches are customarily employed on a per-dataset basis. This strategy, however, prevents the current normalization algorithms from fully exploiting the complex joint information available… read more here.
Keywords: image; multiple datasets; segmentation; realistic image ... See more keywords
OutPredict: multiple datasets can improve prediction of expression and inference of causality
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-63347-3
Abstract: The ability to accurately predict the causal relationships from transcription factors to genes would greatly enhance our understanding of transcriptional dynamics. This could lead to applications in which one or more transcription factors could be… read more here.
Keywords: state; outpredict multiple; multiple datasets; expression ... See more keywords
LAmbDA: label ambiguous domain adaptation dataset integration reduces batch effects and improves subtype detection
Sign Up to like & getrecommendations! Published in 2019 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btz295
Abstract: MOTIVATION Rapid advances in single cell RNA sequencing (scRNA-seq) have produced higher-resolution cellular subtypes in multiple tissues and species. Methods are increasingly needed across datasets and species to i) remove systematic biases, ii) model multiple… read more here.
Keywords: lambda; multiple datasets; cellular subtypes; cell ... See more keywords
Simultaneous display of multiple three-dimensional electrophysiological datasets (dot mapping)
Sign Up to like & getrecommendations! Published in 2017 at "Europace"
DOI: 10.1093/europace/euw190
Abstract: Abstract Aims Complex ablation procedures are supported by accurate representation of an increasing variety of electrophysiological and imaging data within electroanatomic mapping systems (EMS). This study aims to develop a novel method for representing multiple… read more here.
Keywords: multiple datasets; dot mapping; display; cardiac chamber ... See more keywords
Multiple Datasets Collaborative Analysis for Hyperspectral Band Selection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3126762
Abstract: Traditional band selection methods only analyze one dataset at a time and start searching band subsets from the zero ground state of knowledge, which cannot effectively mine spectral information to guide band selection. However, for… read more here.
Keywords: collaborative analysis; band selection; multiple datasets; selection ... See more keywords
Joint Preprocessing of Multiple Datasets to Enhance Source Separation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2953874
Abstract: Blind source separation (BSS), i.e. extracting unknown sources from mixtures of them, has attracted great interest in various fields of signal processing, for instance in neurophysiological data analysis. By increasing the availability of multiple and… read more here.
Keywords: multiple datasets; source separation; inline formula; source ... See more keywords