Keyword search (4,163 papers available)

"Classification" Keyword-tagged Publications:

Title Authors PubMed ID
1 Attention-Fusion-Based Two-Stream Vision Transformer for Heart Sound Classification Ranipa K; Zhu WP; Swamy MNS; 41155032
ENCS
2 Lung Nodule Malignancy Classification Integrating Deep and Radiomic Features in a Three-Way Attention-Based Fusion Module Khademi S; Heidarian S; Afshar P; Mohammadi A; Sidiqi A; Nguyen ET; Ganeshan B; Oikonomou A; 41150036
ENCS
3 An Effective and Fast Model for Characterization of Cardiac Arrhythmia and Congestive Heart Failure Lahmiri S; Bekiros S; 40218199
JMSB
4 CACTUS: An open dataset and framework for automated Cardiac Assessment and Classification of Ultrasound images using deep transfer learning Elmekki H; Alagha A; Sami H; Spilkin A; Zanuttini AM; Zakeri E; Bentahar J; Kadem L; Xie WF; Pibarot P; Mizouni R; Otrok H; Singh S; Mourad A; 40107020
ENCS
5 Metrics for evaluation of automatic epileptogenic zone localization in intracranial electrophysiology Hrtonova V; Nejedly P; Travnicek V; Cimbalnik J; Matouskova B; Pail M; Peter-Derex L; Grova C; Gotman J; Halamek J; Jurak P; Brazdil M; Klimes P; Frauscher B; 39608298
SOH
6 CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasets Islam M; Zunair H; Mohammed N; 38492455
ENCS
7 Fractals in Neuroimaging Lahmiri S; Boukadoum M; Di Ieva A; 38468046
JMSB
8 Bayesian workflow for the investigation of hierarchical classification models from tau-PET and structural MRI data across the Alzheimer's disease spectrum Belasso CJ; Cai Z; Bezgin G; Pascoal T; Stevenson J; Rahmouni N; Tissot C; Lussier F; Rosa-Neto P; Soucy JP; Rivaz H; Benali H; 37920382
PERFORM
9 Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data Thölke P; Mantilla-Ramos YJ; Abdelhedi H; Maschke C; Dehgan A; Harel Y; Kemtur A; Mekki Berrada L; Sahraoui M; Young T; Bellemare Pépin A; El Khantour C; Landry M; Pascarella A; Hadid V; Combrisson E; O' Byrne J; Jerbi K; 37385392
IMAGING
10 Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data Shamshiri MA; Krzyzak A; Kowal M; Korbicz J; 36758326
ENCS
11 Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications Luo Z; Amayri M; Fan W; Bouguila N; 36685642
ENCS
12 Quantifying imbalanced classification methods for leukemia detection Depto DS; Rizvee MM; Rahman A; Zunair H; Rahman MS; Mahdy MRC; 36516574
ENCS
13 Extending Effective Dynamic Range of Hyperspectral Line Cameras for Short Wave Infrared Imaging Shaikh MS; Jaferzadeh K; Thörnberg B; 35270968
ENCS
14 Voice characteristics from isolated rapid eye movement sleep behavior disorder to early Parkinson's disease Laetitia Jeancolas 35063866
PERFORM
15 Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images Bourouis S; Alharbi A; Bouguila N; 34460578
ENCS
16 Coding Public Health Interventions for Health Technology Assessments: A Pilot Experience With WHO's International Classification of Health Interventions (ICHI) Wübbeler M; Geis S; Stojanovic J; Elliott L; Gutierrez-Ibarluzea I; Lenoir-Wijnkoop I; 34222165
HKAP
17 COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans Heidarian S; Afshar P; Enshaei N; Naderkhani F; Rafiee MJ; Babaki Fard F; Samimi K; Atashzar SF; Oikonomou A; Plataniotis KN; Mohammadi A; 34113843
ENCS
18 A Benchmark of Data Stream Classification for Human Activity Recognition on Connected Objects. Khannouz M; Glatard T; 33202905
ENCS
19 Probability of Major Depression Classification Based on the SCID, CIDI, and MINI Diagnostic Interviews: A Synthesis of Three Individual Participant Data Meta-Analyses Wu Y; Levis B; Ioannidis JPA; Benedetti A; Thombs BD; 32814337
LIBRARY
20 Diversity, evolution, and classification of virophages uncovered through global metagenomics. Paez-Espino D, Zhou J, Roux S, Nayfach S, Pavlopoulos GA, Schulz F, McMahon KD, Walsh D, Woyke T, Ivanova NN, Eloe-Fadrosh EA, Tringe SG, Kyrpides NC 31823797
BIOLOGY
21 A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors. Dehghani A, Sarbishei O, Glatard T, Shihab E 31752158
ENCS
22 Automatic classification and removal of structured physiological noise for resting state functional connectivity MRI analysis. Lee K, Khoo HM, Fourcade C, Gotman J, Grova C 30695721
PERFORM

 

Title:Voice characteristics from isolated rapid eye movement sleep behavior disorder to early Parkinson's disease
Authors:Laetitia Jeancolas
Link:https://pubmed.ncbi.nlm.nih.gov/35063866/
DOI:10.1016/j.parkreldis.2022.01.003
Publication:Parkinsonism & related disorders
Keywords:Acoustic analysis;  Parkinson';  s disease;  REM sleep behavior disorder;  Speech disorders;  Supervised classification; 
PMID:35063866 Category: Date Added:2022-01-22
Dept Affiliation: PERFORM
1 Paris Brain Institute - ICM, Centre de NeuroImagerie de Recherche - CENIR, Paris, France; Laboratoire SAMOVAR, Télécom SudParis, Institut Polytechnique de Paris, France. Electronic address: laetitia.jeancolas@icm-institute.org.
2 Sorbonne University, Inserm, CNRS, Paris Brain Institute - ICM, Paris, France; Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Department of Neurology, Clinical Investigation Center for Neurosciences, Paris, France.
3 Laboratoire SAMOVAR, Télécom SudParis, Institut Polytechnique de Paris, France.
4 PERFORM Centre, Electrical & Computer Engineering Department, Concordia University, Montreal, Canada.
5 Sorbonne University, Inserm, CNRS, Paris Brain Institute - ICM, Paris, France; Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Sleep Disorders Unit, Paris, France.
6 Paris Brain Institute - ICM, Centre de NeuroImagerie de Recherche - CENIR, Paris, France; Sorbonne University, Inserm, CNRS, Paris Brain Institute - ICM, Paris, France; Assistance Publique Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Department of Neuroradiology, Paris, France.

Description:

CONCLUSION: This study provides new insight in the characterization of sex-dependent early PD speech impairments, and demonstrates the valuable benefit of including automated voice analysis in future diagnostic procedures of prodromal PD.




BookR developed by Sriram Narayanan
for the Concordia University School of Health
Copyright © 2011-2026
Cookie settings
Concordia University