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。Ischemic stroke causes Parkinson's disease-like pathology and symptoms in transgenic mice overexpressing alpha-synuclein
Stephanie Lohmann et al.
ACTA NEUROPATHOLOGICA COMMUNICATIONS (2022)
Challenges in the diagnosis of Parkinson's disease
Eduardo Tolosa et al.
LANCET NEUROLOGY (2021)
The Logic and Pitfalls of Parkinson's Disease as Brain-First Versus Body-First Subtypes
Conor Fearon et al.
MOVEMENT DISORDERS (2021)
Focal Loss for Dense Object Detection
Tsung-Yi Lin et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)
Cognitive signature of brain FDG PET based on deep learning: domain transfer from Alzheimer's disease to Parkinson's disease
Hongyoon Choi et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2020)
Early diagnosis of Parkinson's disease using machine learning algorithms
Zehra Karapinar Senturk
MEDICAL HYPOTHESES (2020)
An improved sex-specific and age-dependent classification model for Parkinson's diagnosis using handwriting measurement
Ujjwal Gupta et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
Detection of Parkinson's Disease from 3T T1 Weighted MRI Scans Using 3D Convolutional Neural Network
Sabyasachi Chakraborty et al.
DIAGNOSTICS (2020)
Brain-first versus body-first Parkinson's disease: a multimodal imaging case-control study
Jacob Horsager et al.
BRAIN (2020)
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTSCAN Imagery
Pavan Rajkumar Magesh et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
Early Detection of Parkinson's Disease Using Deep Learning and Machine Learning
Wu Wang et al.
IEEE ACCESS (2020)
Detection of Parkinson's disease based on voice patterns ranking and optimized support vector machine
Salim Lahmiri et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2019)
Upper limb motor pre-clinical assessment in Parkinson's disease using machine learning
Filippo Cavallo et al.
PARKINSONISM & RELATED DISORDERS (2019)
Detecting Parkinson's disease with sustained phonation and speech signals using machine learning techniques
Jefferson S. Almeida et al.
PATTERN RECOGNITION LETTERS (2019)
Associations between cerebrovascular risk factors and parkinson disease
Benjamin R. Kummer et al.
ANNALS OF NEUROLOGY (2019)
Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait
Imanne El Maachi et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Predictive markers for Parkinson's disease using deep neural nets on neuromelanin sensitive MRI
Sumeet Shinde et al.
NEUROIMAGE-CLINICAL (2019)
Feature-driven machine learning to improve early diagnosis of Parkinson's disease
Luca Parisi et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
Gait and tremor investigation using machine learning techniques for the diagnosis of Parkinson disease
Enas Abdulhay et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
Space Charge Analysis of Polyethylene with Chemical Defects Based on Density Function Theory
Tao Lin et al.
2018 IEEE INTERNATIONAL CONFERENCE ON HIGH VOLTAGE ENGINEERING AND APPLICATION (ICHVE) (2018)
Detection of Motor Impairment in Parkinson's Disease Via Mobile Touchscreen Typing
Teresa Arroyo-Gallego et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2017)
Parkinson's disease might increase the risk of cerebral ischemic lesions
In-Uk Song et al.
INTERNATIONAL JOURNAL OF MEDICAL SCIENCES (2017)
A predictive model to identify Parkinson disease from administrative claims data
Susan Searles Nielsen et al.
NEUROLOGY (2017)
Machine learning-based classification of simple drawing movements in Parkinson's disease
C. Kotsavasiloglou et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2017)
Assessment of spontaneous cardiovascular oscillations in Parkinson's disease
Gaetano Valenza et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2016)
High-Accuracy Detection of Early Parkinson's Disease through Multimodal Features and Machine Learning
R. Prashanth et al.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2016)
Advances in markers of prodromal Parkinson disease
Ronald B. Postuma et al.
NATURE REVIEWS NEUROLOGY (2016)
Parkinson's disease classification using gait analysis via deterministic learning
Wei Zeng et al.
NEUROSCIENCE LETTERS (2016)
MDS clinical diagnostic criteria for Parkinson's disease
Ronald B. Postuma et al.
MOVEMENT DISORDERS (2015)
Parkinson's Disease Is Related to an Increased Risk of Ischemic Stroke-A Population-Based Propensity Score-Matched Follow-Up Study
Ya-Ping Huang et al.
PLOS ONE (2013)
Identifying prodromal Parkinson's disease: Pre-Motor disorders in Parkinson's disease
Ronald B. Postuma et al.
MOVEMENT DISORDERS (2012)
Predicting disease risks from highly imbalanced data using random forest
Mohammed Khalilia et al.
BMC MEDICAL INFORMATICS AND DECISION MAKING (2011)
The Use of a Color Coded Probability Scale to Interpret Smell Tests in Suspected Parkinsonism
Laura Silveira-Moriyama et al.
MOVEMENT DISORDERS (2009)
分享论文
