AIMC Topic: Atlases as Topic

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Merged Affinity Network Association Clustering: Joint multi-omic/clinical clustering to identify disease endotypes.

Cell reports Apr 13, 2021
Although clinical and laboratory data have long been used to guide medical practice, this information is rarely integrated with multi-omic data to identify endotypes. We present Merged Affinity Network Association Clustering (MANAclust), a coding-fre...
Proteomics Cluster Analysis Unsupervised Machine Learning Benchmarking Asthma Precision Medicine Child, Preschool Male Female Child Middle Aged Feces Adult Datasets as Topic Case-Control Studies Gene Expression Profiling Gene Expression Regulation Adolescent Humans Transcriptome Atlases as Topic Microbiota Nasal Cavity Allergens Epigenome
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m6A-Atlas: a comprehensive knowledgebase for unraveling the N6-methyladenosine (m6A) epitranscriptome.

Nucleic acids research Jan 8, 2021
N 6-Methyladenosine (m6A) is the most prevalent RNA modification on mRNAs and lncRNAs. It plays a pivotal role during various biological processes and disease pathogenesis. We present here a comprehensive knowledgebase, m6A-Atlas, for unraveling the ...
Dengue Virus HIV Zebrafish Rats MicroRNAs RNA, Long Noncoding Drosophila melanogaster Herpesvirus 8, Human Adenosine Atlases as Topic Knowledge Bases Datasets as Topic Saccharomyces cerevisiae Humans Animals Mice RNA, Messenger Swine Transcriptome Arabidopsis Pan troglodytes
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FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation.

Neuroinformatics Apr 1, 2020
Segmentation of medical images using multiple atlases has recently gained immense attention due to their augmented robustness against variabilities across different subjects. These atlas-based methods typically comprise of three steps: atlas selectio...
Atlases as Topic Magnetic Resonance Imaging Hippocampus Neuroimaging Humans Deep Learning Image Processing, Computer-Assisted
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DriverML: a machine learning algorithm for identifying driver genes in cancer sequencing studies.

Nucleic acids research May 7, 2019
Although rapid progress has been made in computational approaches for prioritizing cancer driver genes, research is far from achieving the ultimate goal of discovering a complete catalog of genes truly associated with cancer. Driver gene lists predic...
Machine Learning Neoplasm Proteins Software Atlases as Topic Cell Proliferation Monte Carlo Method Neoplasms Humans Nuclear Proteins Cell Cycle Proteins Mutation Oncogenes Cell Line, Tumor Cell Movement Datasets as Topic Gene Expression Regulation, Neoplastic
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Using deep learning to segment breast and fibroglandular tissue in MRI volumes.

Medical physics Feb 1, 2017
PURPOSE: Automated segmentation of breast and fibroglandular tissue (FGT) is required for various computer-aided applications of breast MRI. Traditional image analysis and computer vision techniques, such atlas, template matching, or, edge and surfac...
Datasets as Topic Pattern Recognition, Automated Atlases as Topic Breast Density Machine Learning Aged Female Mammography Humans Adult Skin Middle Aged Artifacts Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Metric Learning for Multi-atlas based Segmentation of Hippocampus.

Neuroinformatics Jan 1, 2017
Automatic and reliable segmentation of hippocampus from MR brain images is of great importance in studies of neurological diseases, such as epilepsy and Alzheimer's disease. In this paper, we proposed a novel metric learning method to fuse segmentati...
Male Image Processing, Computer-Assisted Software Female Humans Algorithms Aged Machine Learning Aged, 80 and over Magnetic Resonance Imaging Hippocampus Atlases as Topic
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Enhancing atlas based segmentation with multiclass linear classifiers.

Medical physics Dec 1, 2015
PURPOSE: To present a method to enrich atlases for atlas based segmentation. Such enriched atlases can then be used as a single atlas or within a multiatlas framework.
Datasets as Topic Time Atlases as Topic Brain Humans Image Processing, Computer-Assisted Machine Learning Diagnostic Imaging Software
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