AIMC Topic: Deep Learning

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Deep learning based prediction of species-specific protein S-glutathionylation sites.

Biochimica et biophysica acta. Proteins and proteomics Mar 29, 2020
As a widespread and reversible post-translational modification of proteins, S-glutathionylation specifically generates the mixed disulfides between cysteine residues and glutathione, which regulates various biological processes including oxidative st...
Species Specificity Cysteine Protein S Humans Mice Algorithms Protein Processing, Post-Translational Glutathione Animals Deep Learning
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Estimating gene expression from DNA methylation and copy number variation: A deep learning regression model for multi-omics integration.

Genomics Mar 29, 2020
Gene expression analysis plays a significant role for providing molecular insights in cancer. Various genetic and epigenetic factors (being dealt under multi-omics) affect gene expression giving rise to cancer phenotypes. A recent growth in understan...
Carcinoma, Hepatocellular RNA-Seq Genomics Epigenomics DNA Methylation DNA Copy Number Variations Transcriptome Deep Learning Liver Neoplasms Linear Models
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Deep Learning Based on MRI for Differentiation of Low- and High-Grade in Low-Stage Renal Cell Carcinoma.

Journal of magnetic resonance imaging : JMRI Mar 28, 2020
UNLABELLED: Pretreatment determination of renal cell carcinoma aggressiveness may help to guide clinical decision-making.
Cell Differentiation Kidney Neoplasms Carcinoma, Renal Cell Retrospective Studies Deep Learning Magnetic Resonance Imaging Humans
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Brain MRI analysis using a deep learning based evolutionary approach.

Neural networks : the official journal of the International Neural Network Society Mar 28, 2020
Convolutional neural network (CNN) models have recently demonstrated impressive performance in medical image analysis. However, there is no clear understanding of why they perform so well, or what they have learned. In this paper, a three-dimensional...
Autistic Disorder Biological Evolution Longitudinal Studies Magnetic Resonance Imaging Adult Alzheimer Disease Deep Learning Brain Male Humans Female Neural Networks, Computer Adolescent Middle Aged Young Adult Algorithms Child
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Segmentation of prostate and prostate zones using deep learning : A multi-MRI vendor analysis.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Mar 27, 2020
PURPOSE: Develop a deep-learning-based segmentation algorithm for prostate and its peripheral zone (PZ) that is reliable across multiple MRI vendors.
Humans Algorithms Prostate Male Datasets as Topic Stochastic Processes Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging
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Artificial Intelligence in Dermatology: A Primer.

The Journal of investigative dermatology Mar 27, 2020
Artificial intelligence is becoming increasingly important in dermatology, with studies reporting accuracy matching or exceeding dermatologists for the diagnosis of skin lesions from clinical and dermoscopic images. However, real-world clinical valid...
Skin Diseases Telemedicine Image Processing, Computer-Assisted Humans Dermatology Referral and Consultation Triage Deep Learning Skin
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Margin-Based Deep Learning Networks for Human Activity Recognition.

Sensors (Basel, Switzerland) Mar 27, 2020
Human activity recognition (HAR) is a popular and challenging research topic, driven by a variety of applications. More recently, with significant progress in the development of deep learning networks for classification tasks, many researchers have m...
Neural Networks, Computer Machine Learning Deep Learning Monitoring, Physiologic Human Activities Humans
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Detection of Rare Objects by Flow Cytometry: Imaging, Cell Sorting, and Deep Learning Approaches.

International journal of molecular sciences Mar 27, 2020
Flow cytometry nowadays is among the main working instruments in modern biology paving the way for clinics to provide early, quick, and reliable diagnostics of many blood-related diseases. The major problem for clinical applications is the detection ...
Neoplastic Cells, Circulating Fluorescent Dyes Flow Cytometry Deep Learning Staining and Labeling Diagnostic Imaging Magnetics Cell Separation Rare Diseases Diagnostic Tests, Routine Automation Hematologic Diseases Humans Cell Tracking Blood Circulation
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A New Approach for Automated Image Segmentation of Organs at Risk in Cervical Cancer.

Radiology. Imaging cancer Mar 27, 2020
Deep Learning Organs at Risk Tomography, X-Ray Computed Female Uterine Cervical Neoplasms Humans Neural Networks, Computer
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Deep learning-based attenuation map generation for myocardial perfusion SPECT.

European journal of nuclear medicine and molecular imaging Mar 26, 2020
PURPOSE: Attenuation correction using CT transmission scanning increases the accuracy of single-photon emission computed tomography (SPECT) and enables quantitative analysis. Current existing SPECT-only systems normally do not support transmission sc...
Image Processing, Computer-Assisted Perfusion Artifacts Tomography, Emission-Computed, Single-Photon Humans Tomography, X-Ray Computed Deep Learning
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