相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Management of validation of HPLC method for determination of acetylsalicylic acid impurities in a new pharmaceutical product
Malgorzata Kowalska et al.
SCIENTIFIC REPORTS (2022)
Effect of Pain Reprocessing Therapy vs Placebo and Usual Care for Patients With Chronic Back Pain A Randomized Clinical Trial
Yoni K. Ashar et al.
JAMA PSYCHIATRY (2022)
Clinical evaluation and resting state fMRI analysis of virtual reality based training in Parkinson's disease through a randomized controlled trial
Farzin Hajebrahimi et al.
SCIENTIFIC REPORTS (2022)
A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP)
I. U. Ekanayake et al.
CASE STUDIES IN CONSTRUCTION MATERIALS (2022)
Identification and validation of Alzheimer's disease-related metabolic brain pattern in biomarker confirmed Alzheimer's dementia patients
Matej Perovnik et al.
SCIENTIFIC REPORTS (2022)
Principal Subspace of Dynamic Functional Connectivity for Diagnosis of Autism Spectrum Disorder
Mohammed Isam Al-Hiyali et al.
APPLIED SCIENCES-BASEL (2022)
EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia
Caroline L. Alves et al.
JOURNAL OF PHYSICS-COMPLEXITY (2022)
Machine learning for genetic prediction of psychiatric disorders: a systematic review
Matthew Bracher-Smith et al.
MOLECULAR PSYCHIATRY (2021)
Cell morphology-based machine learning models for human cell state classification
Yi Li et al.
NPJ SYSTEMS BIOLOGY AND APPLICATIONS (2021)
Machine learning based predictors for COVID-19 disease severity
Dhruv Patel et al.
SCIENTIFIC REPORTS (2021)
Machine learning prediction models for prognosis of critically ill patients after open-heart surgery
Zhihua Zhong et al.
SCIENTIFIC REPORTS (2021)
Striato-Cortical Neuroimaging Markers in the Reward Network Distinguish Melancholic Depression and Response to Treatment: An iSPOT-D Report
Laura M. Hack et al.
BIOLOGICAL PSYCHIATRY (2021)
A community detection algorithm based on graph compression for large-scale social networks
Xingwang Zhao et al.
INFORMATION SCIENCES (2021)
Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection
Chayakrit Krittanawong et al.
SCIENTIFIC REPORTS (2021)
A method for utilizing automated machine learning for histopathological classification of testis based on Johnsen scores
Yurika Ito et al.
SCIENTIFIC REPORTS (2021)
A Deep Learning Approach to Predict Autism Spectrum Disorder Using Multisite Resting-State fMRI
Faria Zarin Subah et al.
APPLIED SCIENCES-BASEL (2021)
Towards increasing the clinical applicability of machine learning biomarkers in psychiatry
Juergen Dukart et al.
NATURE HUMAN BEHAVIOUR (2021)
A Focus on the Cerebellum: From Embryogenesis to an Age-Related Clinical Perspective
Greta Amore et al.
FRONTIERS IN SYSTEMS NEUROSCIENCE (2021)
Modeling and augmenting of fMRI data using deep recurrent variational auto-encoder
Ning Qiang et al.
JOURNAL OF NEURAL ENGINEERING (2021)
Identifying Autism Spectrum Disorder From Resting-State fMRI Using Deep Belief Network
Zhi-An Huang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)
Timing of diagnosis, depression and self-harm in adolescents with autism spectrum disorder
Mariko Hosozawa et al.
AUTISM (2021)
Sensory-to-Cognitive Systems Integration Is Associated With Clinical Severity in Autism Spectrum Disorder
Kenia Martinez et al.
JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY (2020)
Interpretation of Compound Activity Predictions from Complex Machine Learning Models Using Local Approximations and Shapley Values
Raquel Rodriguez-Perez et al.
JOURNAL OF MEDICINAL CHEMISTRY (2020)
Early Recognition of Burn- and Trauma-Related Acute Kidney Injury: A Pilot Comparison of Machine Learning Techniques
Hooman H. Rashidi et al.
SCIENTIFIC REPORTS (2020)
Structural Analysis and Optimization of Convolutional Neural Networks with a Small Sample Size
Rhett N. D'souza et al.
SCIENTIFIC REPORTS (2020)
Re-epithelialization and immune cell behaviour in an ex vivo human skin model
Ana Rakita et al.
SCIENTIFIC REPORTS (2020)
Autism spectrum disorder
Catherine Lord et al.
NATURE REVIEWS DISEASE PRIMERS (2020)
Consensus Paper: Cerebellum and Social Cognition
Frank Van Overwalle et al.
CEREBELLUM (2020)
Data augmentation for deep-learning-based electroencephalography
Elnaz Lashgari et al.
JOURNAL OF NEUROSCIENCE METHODS (2020)
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis
Biao Jie et al.
MEDICAL IMAGE ANALYSIS (2020)
Atypical age-related changes in cortical thickness in autism spectrum disorder
Adonay S. Nunes et al.
SCIENTIFIC REPORTS (2020)
Brain connectivity in patients with dystonia during motor tasks
Carlos Arruda Baltazar et al.
JOURNAL OF NEURAL ENGINEERING (2020)
Identification of 4-carboxyglutamate residue sites based on position based statistical feature and multiple classification
Asghar Ali Shah et al.
SCIENTIFIC REPORTS (2020)
A review on transfer learning in EEG signal analysis
Zitong Wan et al.
NEUROCOMPUTING (2020)
Hypofunctional connectivity between the posterior cingulate cortex and ventromedial prefrontal cortex in autism: Evidence from coordinate -based meta
Way K. W. Lau et al.
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY (2020)
Developing a delivery science for artificial intelligence in healthcare
Ron C. Li et al.
NPJ DIGITAL MEDICINE (2020)
Deep learning algorithm predicts diabetic retinopathy progression in individual patients (vol 2, 92, 2019)
Filippo Arcadu et al.
NPJ DIGITAL MEDICINE (2020)
Image-based phenotyping of disaggregated cells using deep learning
Samuel Berryman et al.
COMMUNICATIONS BIOLOGY (2020)
EEG-based intention recognition with deep recurrent-convolution neural network: Performance and channel selection by Grad-CAM
Yurong Li et al.
NEUROCOMPUTING (2020)
Data augmentation for enhancing EEG-based emotion recognition with deep generative models
Yun Luo et al.
JOURNAL OF NEURAL ENGINEERING (2020)
High-accuracy prostate cancer pathology using deep learning
Yuri Tolkach et al.
NATURE MACHINE INTELLIGENCE (2020)
Machine-learning Approach for the Development of a Novel Predictive Model for the Diagnosis of Hepatocellular Carcinoma
Masaya Sato et al.
SCIENTIFIC REPORTS (2019)
Reconstructing commuters network using machine learning and urban indicators
Gabriel Spadon et al.
SCIENTIFIC REPORTS (2019)
Machine learning approach to identify a resting-state functional connectivity pattern serving as an endophenotype of autism spectrum disorder
Bun Yamagata et al.
BRAIN IMAGING AND BEHAVIOR (2019)
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Awni Y. Hannun et al.
NATURE MEDICINE (2019)
Artificial intelligence for the electrocardiogram
Ana Minchole et al.
NATURE MEDICINE (2019)
Occurrence of the potent mutagens 2-nitrobenzanthrone and 3-nitrobenzanthrone in fine airborne particles
Aldenor G. Santos et al.
SCIENTIFIC REPORTS (2019)
Altered Connectivity Between Cerebellum, Visual, and Sensory-Motor Networks in Autism Spectrum Disorder: Results from the EU-AIMS Longitudinal European Autism Project
Marianne Oldehinkel et al.
BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING (2019)
Contactless cardiac arrest detection using smart devices
Justin Chan et al.
NPJ DIGITAL MEDICINE (2019)
AnaData: A Novel Approach for Data Analytics Using Random Forest Tree and SVM
Bali Devi et al.
COMPUTING, COMMUNICATION AND SIGNAL PROCESSING, ICCASP 2018 (2019)
Applications of Supervised Machine Learning in Autism Spectrum Disorder Research: a Review
Kayleigh K. Hyde et al.
REVIEW JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS (2019)
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Cynthia Rudin
NATURE MACHINE INTELLIGENCE (2019)
Decreased Cortical Thickness in the Anterior Cingulate Cortex in Adults with Autism
Charles Laidi et al.
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS (2019)
On the detection of high frequency correlations in resting state fMRI
Cameron Trapp et al.
NEUROIMAGE (2018)
A Perlin Noise-Based Augmentation Strategy for Deep Learning with Small Data Samples of HRCT Images
Hyun-Jin Bae et al.
SCIENTIFIC REPORTS (2018)
Cross-validation estimate of the number of clusters in a network
Tatsuro Kawamoto et al.
SCIENTIFIC REPORTS (2017)
The Cerebellum and Neurodevelopmental Disorders
Catherine J. Stoodley
CEREBELLUM (2016)
Logistic Regression Relating Patient Characteristics to Outcomes
Juliana Tolles et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2016)
Anatomical and Functional Correlates of Persistent Pain in Parkinson's Disease
Andrea Polli et al.
MOVEMENT DISORDERS (2016)
Multi-location gram-positive and gram-negative bacterial protein subcellular localization using gene ontology and multi-label classifier ensemble
Xiao Wang et al.
BMC BIOINFORMATICS (2015)
Deep learning for regulatory genomics
Yongjin Park et al.
NATURE BIOTECHNOLOGY (2015)
Community Detection in Multi-Layer Graphs
Jungeun Kim et al.
SIGMOD RECORD (2015)
Sugihara causality analysis of scalp EEG for detection of early Alzheimer's disease
Joseph C. McBride et al.
NEUROIMAGE-CLINICAL (2015)
Diagnostic classification of intrinsic functional connectivity highlights somatosensory, default mode, and visual regions in autism
Colleen P. Chen et al.
NEUROIMAGE-CLINICAL (2015)
The role of the posterior cingulate cortex in cognition and disease
Robert Leech et al.
BRAIN (2014)
Disruption of Functional Organization Within the Primary Motor Cortex in Children With Autism
Mary Beth Nebel et al.
HUMAN BRAIN MAPPING (2014)
Big data from small data: data-sharing in the 'long tail' of neuroscience
Adam R. Ferguson et al.
NATURE NEUROSCIENCE (2014)
The Cerebellum, Sensitive Periods, and Autism
Samuel S. -H. Wang et al.
NEURON (2014)
Underconnectivity of the superior temporal sulcus predicts emotion recognition deficits in autism
Kaat Alaerts et al.
SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE (2014)
Enhanced parietal cortex activation during location detection in children with autism
Thomas P. DeRamus et al.
JOURNAL OF NEURODEVELOPMENTAL DISORDERS (2014)
Abnormal functional connectivity during visuospatial processing is associated with disrupted organisation of white matter in autism
Jane McGrath et al.
FRONTIERS IN HUMAN NEUROSCIENCE (2013)
Multisite functional connectivity MRI classification of autism: ABIDE results
Jared A. Nielsen et al.
FRONTIERS IN HUMAN NEUROSCIENCE (2013)
EEG correlates of time-varying BOLD functional connectivity
Catie Chang et al.
NEUROIMAGE (2013)
Association between heart rate variability and fluctuations in resting-state functional connectivity
Catie Chang et al.
NEUROIMAGE (2013)
Comparison of white matter integrity between autism spectrum disorder subjects and typically developing individuals: a meta-analysis of diffusion tensor imaging tractography studies
Yuta Aoki et al.
MOLECULAR AUTISM (2013)
fMRI investigation of visual change detection in adults with autism
H. Clery et al.
NEUROIMAGE-CLINICAL (2013)
Breakdown of Brain Connectivity Between Normal Aging and Alzheimer's Disease: A Structural k-Core Network Analysis
Madelaine Daianu et al.
BRAIN CONNECTIVITY (2013)
NONLINEAR SHRINKAGE ESTIMATION OF LARGE-DIMENSIONAL COVARIANCE MATRICES
Olivier Ledoit et al.
ANNALS OF STATISTICS (2012)
Communities, modules and large-scale structure in networks
M. E. J. Newman
NATURE PHYSICS (2012)
The Role of Medial Prefrontal Cortex in Memory and Decision Making
David R. Euston et al.
NEURON (2012)
Multiple Pathways Analysis of Brain Functional Networks from EEG Signals: An Application to Real Data
Fabrizio De Vico Fallani et al.
BRAIN TOPOGRAPHY (2011)
A history of graph entropy measures
Matthias Dehmer et al.
INFORMATION SCIENCES (2011)
Sparse canonical correlation analysis
David R. Hardoon et al.
MACHINE LEARNING (2011)
Multi-level bootstrap analysis of stable clusters in resting-state fMRI
Pierre Bellec et al.
NEUROIMAGE (2010)
The map equation
M. Rosvall et al.
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS (2009)
Fast unfolding of communities in large networks
Vincent D. Blondel et al.
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT (2008)
Mapping the structural core of human cerebral cortex
Patric Hagmann et al.
PLOS BIOLOGY (2008)
Near linear time algorithm to detect community structures in large-scale networks
Usha Nandini Raghavan et al.
PHYSICAL REVIEW E (2007)
Increased motor cortex white matter volume predicts motor impairment in autism
Stewart H. Mostofsky et al.
BRAIN (2007)
A developmental study of the structural integrity of white matter in autism
Timothy A. Keller et al.
NEUROREPORT (2007)
Finding community structure in networks using the eigenvectors of matrices
M. E. J. Newman
PHYSICAL REVIEW E (2006)
Statistical mechanics of community detection
Jorg Reichardt et al.
PHYSICAL REVIEW E (2006)
Failing to deactivate: Resting functional abnormalities in autism
DP Kennedy et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2006)
Finding community structure in very large networks
A Clauset et al.
PHYSICAL REVIEW E (2004)
Estimating mutual information -: art. no. 066138
A Kraskov et al.
PHYSICAL REVIEW E (2004)
Autism and abnormal development of brain connectivity
MK Belmonte et al.
JOURNAL OF NEUROSCIENCE (2004)
Mirror-symmetric tonotopic maps in human primary auditory cortex
E Formisano et al.
NEURON (2003)
Functional anatomy of impaired selective attention and compensatory processing in autism
MK Belmonte et al.
COGNITIVE BRAIN RESEARCH (2003)
The structure and function of complex networks
MEJ Newman
SIAM REVIEW (2003)
Economic small-world behavior in weighted networks
V Latora et al.
EUROPEAN PHYSICAL JOURNAL B (2003)
Assortative mixing in networks
MEJ Newman
PHYSICAL REVIEW LETTERS (2002)
Community structure in social and biological networks
M Girvan et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2002)
Random graph models of social networks
MEJ Newman et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2002)
Measuring information transfer
T Schreiber
PHYSICAL REVIEW LETTERS (2000)