Objective assessment of Parkinson's disease using machine learning

Objective assessment of Parkinson's disease using machine learning

<p>Neurodegenerative disorders, such as Parkinson’s disease (PD), are infamously heterogeneous in regards to onset age, symptom prevalence, and severity progression rate. The current ‘gold standard’ techniques currently in use to assess the highly debilitating motor and non-motor symptoms a...

書目詳細資料
主要作者:	Prince, J
其他作者:	De Vos, M
格式:	Thesis
出版:	2018
主題:	Deep Learning Machine Learning Multi-Modality Data Fusion Neuroscience

相似書籍

Identification of Parkinson’s disease using MRI and genetic data from the PPMI cohort: an improved machine learning fusion approach
由: Yifeng Yang, et al.
出版: (2025-02-01)

A Short Survey on Deep Learning for Multimodal Integration: Applications, Future Perspectives and Challenges
由: Giovanna Maria Dimitri
出版: (2022-11-01)

A Review of the Application of Multi-modal Deep Learning in Medicine: Bibliometrics and Future Directions
由: Xiangdong Pei, et al.
出版: (2023-03-01)

Measuring Similarity of Dual-Modal Academic Data Based on Multi-Fusion Representation Learning
由: Li Zhang, et al.
出版: (2024-01-01)

Editorial: Multi-modal learning and its application for biomedical data
由: Jin Liu, et al.
出版: (2024-01-01)

Medical image fusion method by deep learning
由: Yi Li, et al.
出版: (2021-06-01)

PointPainting: 3D Object Detection Aided by Semantic Image Information
由: Zhentong Gao, et al.
出版: (2023-03-01)

Predicting rectal cancer prognosis from histopathological images and clinical information using multi-modal deep learning
由: Yixin Xu, et al.
出版: (2024-04-01)

Interference effects from machine learning matched confusable object pairs in memory assessment tasks
由: Batra, D
出版: (2022)

Experimental Exploration of Objective Human Pain Assessment Using Multimodal Sensing Signals
由: Yingzi Lin, et al.
出版: (2022-02-01)

Editorial: Machine and deep-learning for computational neuroscience
由: Gaurav Dhiman, et al.
出版: (2023-07-01)

Deep LiDAR-Radar-Visual Fusion for Object Detection in Urban Environments
由: Yuhan Xiao, et al.
出版: (2023-09-01)

Machine learning on longitudinal multi-modal data enables the understanding and prognosis of Alzheimer’s disease progression
由: Suixia Zhang, et al.
出版: (2024-07-01)

Multi-Modal Fusion of Routine Care Electronic Health Records (EHR): A Scoping Review
由: Zina Ben-Miled, et al.
出版: (2025-01-01)

A survey of multimodal machine learning
由: Peng CHEN, et al.
出版: (2020-05-01)

Single-Stage Extensive Semantic Fusion for multi-modal sarcasm detection
由: Hong Fang, et al.
出版: (2024-07-01)

A review of intelligent diagnosis methods of imaging gland cancer based on machine learning
由: Han Jiang, et al.
出版: (2023-08-01)

Visual Question Answering Model Based on Multi-modal Deep Feature Fusion
由: ZOU Yunzhu, DU Shengdong, TENG Fei, LI Tianrui
出版: (2023-02-01)

Fusing Object Information and Inertial Data for Activity Recognition
由: Alexander Diete, et al.
出版: (2019-09-01)

Object Tracking in RGB-T Videos Using Modal-Aware Attention Network and Competitive Learning
由: Hui Zhang, et al.
出版: (2020-01-01)

A Biometric Identification for Multi-Modal Biomedical Signals in Geriatric Care
由: Yue Che, et al.
出版: (2024-10-01)

SymmetricNet: end-to-end mesoscale eddy detection with multi-modal data fusion
由: Yuxiao Zhao, et al.
出版: (2023-08-01)

SIBILA: Automated Machine-Learning-Based Development of Interpretable Machine-Learning Models on High-Performance Computing Platforms
由: Antonio Jesús Banegas-Luna, et al.
出版: (2024-11-01)

Dual-branch multi-modal convergence network for crater detection using Chang’e image
由: Feng Lin, et al.
出版: (2024-11-01)

Application of machine learning in ophthalmic imaging modalities
由: Yan Tong, et al.
出版: (2020-04-01)

DeePay: deep learning decodes EEG to predict consumer’s willingness to pay for neuromarketing
由: Adam Hakim, et al.
出版: (2023-06-01)

Research on Urban Function Recognition Based on Multi-modal and Multi-level Data Fusion Method
由: ZHOU Xin-min, HU Yi-gui, LIU Wen-jie, SUN Rong-jun
出版: (2021-09-01)

A scalable multi-modal learning fruit detection algorithm for dynamic environments
由: Liang Mao, et al.
出版: (2025-02-01)

Deep Learning of GNSS Acquisition
由: Parisa Borhani-Darian, et al.
出版: (2023-02-01)

Learning Discriminative Factorized Subspaces With Application to Touchscreen Biometrics
由: Neeti Pokhriyal, et al.
出版: (2020-01-01)

Recent trends of machine learning applied to multi-source data of medicinal plants
由: Yanying Zhang, et al.
出版: (2023-12-01)

Automated PD-L1 status prediction in lung cancer with multi-modal PET/CT fusion
由: Ronrick Da-ano, et al.
出版: (2024-07-01)

Toward Learning Machines at a Mother and Baby Unit
由: Magnus Boman, et al.
出版: (2020-11-01)

DeepForest: Novel Deep Learning Models for Land Use and Land Cover Classification Using Multi-Temporal and -Modal Sentinel Data of the Amazon Basin
由: Eya Cherif, et al.
出版: (2022-10-01)

Remote Sensing LiDAR and Hyperspectral Classification with Multi-Scale Graph Encoder–Decoder Network
由: Fang Wang, et al.
出版: (2024-10-01)

Improvement of flipped classroom teaching in colleges and universities based on virtual reality assisted by deep learning
由: Wenxia Dai, et al.
出版: (2025-01-01)

Deep learning approaches for multi-modal sensor data analysis and abnormality detection
由: Santosh Pandurang Jadhav, et al.
出版: (2024-06-01)

Enhancing Nowcasting With Multi‐Resolution Inputs Using Deep Learning: Exploring Model Decision Mechanisms
由: Yuan Cao, et al.
出版: (2025-02-01)

Deep learning approaches to multimodal MRI brain age estimation
由: Roibu, A-C
出版: (2023)

Deep learning 3D-mineral liberation analysis with micro-X-ray fluorescence, micro-computed tomography, and deep learning segmentation
由: Tung Patrick, et al.
出版: (2024-01-01)