AIMC Topic: Statistics, Nonparametric

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State-of-the-art sleep arousal detection evaluated on a comprehensive clinical dataset.

Scientific reports Jul 14, 2024
Aiming to apply automatic arousal detection to support sleep laboratories, we evaluated an optimized, state-of-the-art approach using data from daily work in our university hospital sleep laboratory. Therefore, a machine learning algorithm was traine...
Adult Male Middle Aged Adolescent Aged Aged, 80 and over Young Adult Statistics, Nonparametric Polysomnography Sleep Wake Disorders Arousal Predictive Value of Tests Area Under Curve Sleep Datasets as Topic Humans Machine Learning Female
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Improved nonparametric survival prediction using CoxPH, Random Survival Forest & DeepHit Neural Network.

BMC medical informatics and decision making May 7, 2024
In recent times, time-to-event data such as time to failure or death is routinely collected alongside high-throughput covariates. These high-dimensional bioinformatics data often challenge classical survival models, which are either infeasible to fit...
Neural Networks, Computer Humans Statistics, Nonparametric Computational Biology Survival Analysis
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An improved genetic algorithm and its application in neural network adversarial attack.

PloS one May 5, 2022
The choice of crossover and mutation strategies plays a crucial role in the searchability, convergence efficiency and precision of genetic algorithms. In this paper, a novel improved genetic algorithm is proposed by improving the crossover and mutati...
Research Design Intelligence Statistics, Nonparametric Neural Networks, Computer Algorithms
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Use of machine learning method on automatic classification of motor subtype of Parkinson's disease based on multilevel indices of rs-fMRI.

Parkinsonism & related disorders Aug 11, 2021
OBJECTIVE: This study aimed to develop an automatic classifier to distinguish different motor subtypes of Parkinson's disease (PD) based on multilevel indices of resting-state functional magnetic resonance imaging (rs-fMRI).
Sensitivity and Specificity Male Middle Aged ROC Curve Brain Female Aged Postural Balance Gait Rest Statistics, Nonparametric Support Vector Machine Magnetic Resonance Imaging Parkinson Disease Area Under Curve Humans Machine Learning Multilevel Analysis
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Topology identification in distribution system via machine learning algorithms.

PloS one Jun 1, 2021
This paper contributes to the literature on topology identification (TI) in distribution networks and, in particular, on change detection in switching devices' status. The lack of measurements in distribution networks compared to transmission network...
Humans Neural Networks, Computer Support Vector Machine Decision Trees Statistics, Nonparametric Normal Distribution Electricity
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MichiGAN: sampling from disentangled representations of single-cell data using generative adversarial networks.

Genome biology May 20, 2021
Deep generative models such as variational autoencoders (VAEs) and generative adversarial networks (GANs) generate and manipulate high-dimensional images. We systematically assess the complementary strengths and weaknesses of these models on single-c...
Gene Expression Profiling Single-Cell Analysis RNA-Seq Gene Expression Regulation Statistics, Nonparametric Humans Neural Networks, Computer Algorithms Computer Simulation
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Deep Learning-Based Computed Tomography Perfusion Mapping (DL-CTPM) for Pulmonary CT-to-Perfusion Translation.

International journal of radiation oncology, biology, physics Mar 6, 2021
PURPOSE: Our purpose was to develop a deep learning-based computed tomography (CT) perfusion mapping (DL-CTPM) method that synthesizes lung perfusion images from CT images.
Perfusion Imaging Radiographic Image Enhancement Technetium Tc 99m Aggregated Albumin Female Aged Deep Learning Humans Male Radiopharmaceuticals Neural Networks, Computer Lung Statistics, Nonparametric Retrospective Studies Tomography, Emission-Computed, Single-Photon Tomography, X-Ray Computed
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Retrospective respiratory motion correction in cardiac cine MRI reconstruction using adversarial autoencoder and unsupervised learning.

NMR in biomedicine Nov 30, 2020
The aim of this study was to develop a deep neural network for respiratory motion compensation in free-breathing cine MRI and evaluate its performance. An adversarial autoencoder network was trained using unpaired training data from healthy volunteer...
Magnetic Resonance Imaging, Cine Neural Networks, Computer Computer Simulation Respiration Image Processing, Computer-Assisted Statistics, Nonparametric Unsupervised Machine Learning Breath Holding Heart Motion Artifacts Humans
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Using Auto-Segmentation to Reduce Contouring and Dose Inconsistency in Clinical Trials: The Simulated Impact on RTOG 0617.

International journal of radiation oncology, biology, physics Nov 13, 2020
PURPOSE: Contouring inconsistencies are known but understudied in clinical radiation therapy trials. We applied auto-contouring to the Radiation Therapy Oncology Group (RTOG) 0617 dose escalation trial data. We hypothesized that the trial heart doses...
Radiotherapy Dosage Clinical Trials, Phase III as Topic Statistics, Nonparametric Organs at Risk Humans Lung Neoplasms Confidence Intervals Algorithms Carcinoma, Non-Small-Cell Lung Linear Models Tomography, X-Ray Computed Adult Heart Female Proportional Hazards Models Male Aged Middle Aged Aged, 80 and over Deep Learning
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Low Rank Regularization: A review.

Neural networks : the official journal of the International Neural Network Society Oct 31, 2020
Low Rank Regularization (LRR), in essence, involves introducing a low rank or approximately low rank assumption to target we aim to learn, which has achieved great success in many data analysis tasks. Over the last decade, much progress has been made...
Image Processing, Computer-Assisted Humans Models, Theoretical Algorithms Statistics, Nonparametric Deep Learning
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