• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 1,691 matches

• 2025
• 
  Shumei Zhu, Wanyi Yi, Shuwang Wang, Qiong Wang, Dengxuan Bai, Weiguo Liu, Jun Wang:
  Phase slope transfer entropy analysis of EEG in patients with Parkinson's disease. Biomed. Signal Process. Control. 100: 107043 (2025)
• 2024
• 
  Elisa Gómez de Lope:
  Interpreting Omics Data in Parkinson's Disease: A Statistical, Machine Learning, and Graph Representation Learning Approach. University of Luxembourg, Luxembourg City, Luxembourg, 2024
• 
  Mohammed F. Allebawi, Thameur Dhieb, Mohamed Neji, Nouha Farhat, Emna Smaoui, Tarek M. Hamdani, Mariem Dammak, Chokri Mhiri, Bilel Neji, Taha Beyrouthy, Adel M. Alimi:
  Parkinson's Disease Detection From Online Handwriting Based on Beta-Elliptical Approach and Fuzzy Perceptual Detector. IEEE Access 12: 56936-56950 (2024)
• 
  Pengjia Qi, Jianbin Yang, Yanyun Dai, Huaqing Zhang, Jijun Tong:
  A Novel Approach to Parkinson's Tremor Suppression: E-BMFLC and LADRC Integration. IEEE Access 12: 145871-145880 (2024)
• 
  K. Deepa Raj, G. Jyothish Lal, E. A. Gopalakrishnan, V. Sowmya, Juan Rafael Orozco-Arroyave:
  A Visibility Graph Approach for Multi-Stage Classification of Parkinson's Disease Using Multimodal Data. IEEE Access 12: 87077-87096 (2024)
• 
  Marco Sica, Omid Varnosfaderani Talebi, Colum Crowe, Lorna Kenny, Andrea Bocchino, Brendan O'Flynn, David Scott Mueller, Salvatore Tedesco, Suzanne Timmons, John Barton:
  Design of a Multi-Sensors Wearable System for Continuous Home Monitoring of People With Parkinson's. IEEE Access 12: 38436-38455 (2024)
• 
  Sharia Arfin Tanim, Al Rafi Aurnob, Muhammad Firoz Mridha, Mejdl S. Safran, Sultan Alfarhood, Dunren Che:
  Secure Federated Learning for Parkinson's Disease: Non-IID Data Partitioning and Homomorphic Encryption Strategies. IEEE Access 12: 127309-127327 (2024)
• 
  Donny Chan, Graham L. Cromar, Billy Taj, John Parkinson:
  Cell4D: a general purpose spatial stochastic simulator for cellular pathways. BMC Bioinform. 25(1): 121 (2024)
• 
  Min Duan, Rongrong Pan, Qing Gao, Xinying Wu, Hai Lin, Jianmin Yuan, Yamei Zhang, Lindong Liu, Youyong Tian, Tong Fu:
  A rapid multi-parametric quantitative MR imaging method to assess Parkinson's disease: a feasibility study. BMC Medical Imaging 24(1): 58 (2024)
• 
  Babita Majhi, Aarti Kashyap, Siddhartha Suprasad Mohanty, Sujata Dash, Saurav Mallik, Aimin Li, Zhongming Zhao:
  An improved method for diagnosis of Parkinson's disease using deep learning models enhanced with metaheuristic algorithm. BMC Medical Imaging 24(1): 156 (2024)
• 
  Shweta Prasad, Archith Rajan, Madhura Ingalhalikar, Rose Dawn Bharath, Jitender Saini, Pramod Kumar Pal:
  Probabilistic Tractography-Based Tremor Network Connectivity in Tremor Dominant Parkinson's Disease and Essential Tremor plus. Brain Connect. 14(6): 340-350 (2024)
• 
  Nikita Aggarwal, Barjinder Singh Saini, Savita Gupta:
  A deep 1-D CNN learning approach with data augmentation for classification of Parkinson's disease and scans without evidence of dopamine deficit (SWEDD). Biomed. Signal Process. Control. 91: 106008 (2024)
• 
  Hongchae Baek, Daniel Lockwood, Emmanuel C. Obusez, Matthew Poturalski, Jacqueline Chen, Sean J. Nagel, Stephen E. Jones:
  Validation of tremor measurements using quantified drawing analysis in patients with essential tremor or Parkinson's disease treated with MR-guided focused ultrasound thalamotomy. Biomed. Signal Process. Control. 92: 106085 (2024)
• 
  Sakineh Yahyazadeh, Nader Jafarnia Dabanloo, Ali Motie Nasrabadi, Alireza Ghorbani Sharif:
  A novel feature extraction method for the localization of accessory pathways in patients with Wolff-Parkinson-White syndrome. Biomed. Signal Process. Control. 88(Part A): 105640 (2024)
• 
  Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang, Silvia Del Din, Hubert P. H. Shum:
  Pose-based tremor type and level analysis for Parkinson's disease from video. Int. J. Comput. Assist. Radiol. Surg. 19(5): 831-840 (2024)
• 
  Ali Ameli, Lourdes Peña Castillo, Hamid Usefi:
  Assessing the reproducibility of machine-learning-based biomarker discovery in Parkinson's disease. Comput. Biol. Medicine 174: 108407 (2024)
• 
  Devi Soorya Narayana Sasikumar, Premkumar Thiruselvam, Vino Sundararajan, Radhika Ravindran, Shoba Gunasekaran, Deepa Madathil, Satyavani Kaliamurthi, Gilles H. Peslherbe, Gurudeeban Selvaraj, Sajitha Lulu Sudhakaran:
  Insights into dietary phytochemicals targeting Parkinson's disease key genes and pathways: A network pharmacology approach. Comput. Biol. Medicine 172: 108195 (2024)
• 
  Turker Tuncer, Sengul Dogan, Mehmet Baygin, Prabal Datta Barua, Elizabeth Emma Palmer, Sonja March, Edward J. Ciaccio, Ru San Tan, U. Rajendra Acharya:
  FLP: Factor lattice pattern-based automated detection of Parkinson's disease and specific language impairment using recorded speech. Comput. Biol. Medicine 173: 108280 (2024)
• 
  Yuan Zong, Yi Yang, Jiawen Zhao, Lei Li, Danyang Luo, Jiawei Hu, Yiming Gao, Xianfei Xie, Linhui Shen, Sheng Chen, Li Ning, Liting Jiang:
  Identification of key mitochondria-related genes and their relevance to the immune system linking Parkinson's disease and primary Sjögren's syndrome through integrated bioinformatics analyses. Comput. Biol. Medicine 175: 108511 (2024)
• 
  Hemant Ghayvat, Muhammad Awais, Rebekah Geddam, Muhammad Ahmed Khan, Lewis Nkenyereye, Giancarlo Fortino, Kapal Dev:
  AiCarePWP: Deep learning-based novel research for Freezing of Gait forecasting in Parkinson. Comput. Methods Programs Biomed. 254: 108254 (2024)
• 
  Helena R. Gonçalves, André Branquinho, Joana F. Pinto, Ana Margarida Rodrigues, Cristina P. Santos:
  Digital biomarkers of mobility and quality of life in Parkinson's disease based on a wearable motion analysis LAB. Comput. Methods Programs Biomed. 244: 107967 (2024)
• 
  Balaji E., Elumalai Vinodh Kumar, Dhanasekaran Sandhiya, R. M. Swarna Priya, S. P. Shantharajah:
  Parkinson's disease detection and stage classification: quantitative gait evaluation through variational mode decomposition and DCNN architecture. Connect. Sci. 36(1) (2024)
• 
  Iswarya Kannoth Veetil, Divi Eswar Chowdary, Paleti Nikhil Chowdary, V. Sowmya, E. A. Gopalakrishnan:
  An analysis of data leakage and generalizability in MRI based classification of Parkinson's Disease using explainable 2D Convolutional Neural Networks. Digit. Signal Process. 147: 104407 (2024)
• 
  Jose Ignacio Serrano, Juan Pablo Romero, Aida Arroyo-Ferrer, M. Dolores del Castillo:
  Estimation of motor severity scales in Parkinson's disease by linear models of bimanual non-alternating index finger tapping features. Expert Syst. Appl. 246: 123077 (2024)
• 
  Snehith Sankineni, Aanchal Saraswat, M. Suchetha, Sathyanarayanan N. Aakur, S. Sehastrajit, Edwin Dhas D:
  An insight on recent advancements and future perspectives in detection techniques of Parkinson's disease. Evol. Intell. 17(3): 1715-1731 (2024)
• 
  Konstantinos Sakkas, Eirini Georgia Dimitriou, Niki Eleni Ntagka, Nikolaos Giannakeas, Konstantinos Kalafatakis, Alexandros T. Tzallas, Evripidis Glavas:
  Personalized Visualization of the Gestures of Parkinson's Disease Patients with Virtual Reality. Future Internet 16(9): 305 (2024)
• 
  Marina C. Ruppert-Junck, Gunter Kräling, Andrea Greuel, Marc Tittgemeyer, Lars Timmermann, Alexander Drzezga, Carsten Eggers, David J. Pedrosa:
  Random forest analysis of midbrain hypometabolism using [18F]-FDG PET identifies Parkinson's disease at the subject-level. Frontiers Comput. Neurosci. 18 (2024)
• 
  Raissa Souza, Emma A. M. Stanley, Milton Camacho, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert:
  A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm. Frontiers Artif. Intell. 7 (2024)
• 
  Mustafa Noaman Kadhim, Dhiah Al-Shammary, Fahim Sufi:
  A novel voice classification based on Gower distance for Parkinson disease detection. Int. J. Medical Informatics 191: 105583 (2024)
• 
  Francisco Jesús Martínez-Murcia, Juan Eloy Arco, Carmen Jimenez-Mesa, Fermín Segovia, Ignacio Álvarez, Javier Ramírez, Juan Manuel Górriz:
  Bridging Imaging and Clinical Scores in Parkinson's Progression via Multimodal Self-Supervised Deep Learning. Int. J. Neural Syst. 34(8): 2450043:1-2450043:16 (2024)

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