Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages. - Juan Camilo Vásquez-Correa; Tomás Arias-Vergara; Cristian D. Ríos-Urrego; Maria Schuster; Jan Rusz; Juan Rafael Orozco-Arroyave; Elmar Nöth (CIARP, 2019)

Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson's Disease Patients. - Juan Camilo Vásquez-Correa; Cristian D. Ríos-Urrego; Alice Rueda; Juan Rafael Orozco-Arroyave; Sri Krishnan; Elmar Nöth (CIARP, 2019)

Feature Representation of Pathophysiology of Parkinsonian Dysarthria. - Alice Rueda; Juan Camilo Vásquez-Correa; Cristian David Ríos-Urrego; Juan Rafael Orozco-Arroyave; Sridhar Krishnan 001; Elmar Nöth (INTERSPEECH, 2019)

Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease. - Juan Camilo Vásquez-Correa; Tomás Arias-Vergara; Philipp Klumpp; M. Strauss; Arne Küderle; Nils Roth; Sebastian P. Bayerl; Nicanor García-Ospina; Paula Andrea Pérez-Toro; L. Felipe Parra-Gallego; Cristian David Ríos-Urrego; Daniel Escobar-Grisales; et al. (INTERSPEECH, 2019)

Analysis and evaluation of handwriting in patients with Parkinson's disease using kinematic, geometrical, and non-linear features. - Cristian D. Ríos-Urrego; Juan Camilo Vásquez-Correa; Jesús Francisco Vargas-Bonilla; Elmar Nöth; Francisco Lopera; Juan Rafael Orozco-Arroyave (Comput. Methods Programs Biomed., 2019)

Transfer Learning to Detect Parkinson's Disease from Speech In Different Languages Using Convolutional Neural Networks with Layer Freezing. - Cristian David Ríos-Urrego; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Elmar Nöth (TDS, 2020)

Colombian Dialect Recognition Based on Information Extracted from Speech and Text Signals. - Daniel Escobar-Grisales; Cristian D. Ríos-Urrego; Diego Alexander Lopez-Santander; Jeferson David Gallo-Aristizábal; Juan Camilo Vásquez-Correa; Elmar Nöth; Juan Rafael Orozco-Arroyave (ASRU, 2021)

Is There Any Additional Information in a Neural Network Trained for Pathological Speech Classification? - Cristian D. Ríos-Urrego; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Elmar Nöth (TDS, 2021)

Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages. - Juan Camilo Vásquez-Correa; Cristian David Ríos-Urrego; Tomás Arias-Vergara; Maria Schuster; Jan Rusz; Elmar Nöth; Juan Rafael Orozco-Arroyave (Pattern Recognit. Lett., 2021)

End-to-End Parkinson's Disease Detection Using a Deep Convolutional Recurrent Network. - Cristian David Ríos-Urrego; Santiago Andres Moreno-Acevedo; Elmar Nöth; Juan Rafael Orozco-Arroyave (TSD, 2022)

Colombian Dialect Recognition from Call-Center Conversations Using Fusion Strategies. - Daniel Escobar-Grisales; Cristian D. Ríos-Urrego; Jeferson David Gallo-Aristizábal; Diego Alexander Lopez-Santander; N. R. Calvo-Ariza; Elmar Nöth; Juan Rafael Orozco-Arroyave (WEA, 2022)

Federated Learning for Secure Development of AI Models for Parkinson's Disease Detection Using Speech from Different Languages. - Soroosh Tayebi Arasteh; Cristian David Ríos-Urrego; Elmar Nöth; Andreas Maier 001; Seung Hee Yang; Jan Rusz; Juan Rafael Orozco-Arroyave (INTERSPEECH, 2023)

An Automatic Multimodal Approach to Analyze Linguistic and Acoustic Cues on Parkinson's Disease Patients. - Daniel Escobar-Grisales; Tomás Arias-Vergara; Cristian David Ríos-Urrego; Elmar Nöth; Adolfo M. García; Juan Rafael Orozco-Arroyave (INTERSPEECH, 2023)

Automatic Classification of Hypokinetic and Hyperkinetic Dysarthria based on GMM-Supervectors. - Cristian David Ríos-Urrego; Jan Rusz; Elmar Nöth; Juan Rafael Orozco-Arroyave (INTERSPEECH, 2023)

Assessment of Handwriting in Patients With Parkinson's Disease Using Non-Intrusive Tasks. - Jeferson David Gallo-Aristizábal; Daniel Escobar-Grisales; Cristian D. Ríos-Urrego; Paula Andrea Pérez-Toro; Elmar Nöth; Andreas Maier 001; Juan Rafael Orozco-Arroyave (ISBI, 2023)

Language Generalization Using Active Learning in the Context of Parkinson's Disease Classification. - Santiago Andres Moreno-Acevedo; Cristian D. Ríos-Urrego; Juan Camilo Vásquez-Correa; Jan Rusz; Elmar Nöth; Juan Rafael Orozco-Arroyave (TSD, 2023)

Automatic Pronunciation Assessment of Non-native English Based on Phonological Analysis. - Cristian D. Ríos-Urrego; Daniel Escobar-Grisales; Santiago Andres Moreno-Acevedo; Paula Andrea Pérez-Toro; Elmar Nöth; Juan Rafael Orozco-Arroyave (TSD, 2023)

It's Time to Take Action: Acoustic Modeling of Motor Verbs to Detect Parkinson's Disease. - Daniel Escobar-Grisales; Cristian David Ríos-Urrego; Ilja Baumann; Korbinian Riedhammer; Elmar Nöth; Tobias Bocklet; Adolfo M. García; Juan Rafael Orozco-Arroyave (INTERSPEECH, 2024)

Automatic Classification of Parkinson's Disease Using Wav2vec Embeddings at Phoneme, Syllable, and Word Levels. - Jeferson David Gallo-Aristizábal; Daniel Escobar-Grisales; Cristian David Ríos-Urrego; Elmar Nöth; Juan Rafael Orozco-Arroyave (TSD (2), 2024)

Robust Classification of Parkinson's Speech: an Approximation to a Scenario With Non-controlled Acoustic Conditions. - Diego Alexander Lopez-Santander; Cristian David Ríos-Urrego; Christian Bergler; Elmar Nöth; Juan Rafael Orozco-Arroyave (TSD (2), 2024)

Automatic speech-based assessment to discriminate Parkinson's disease from essential tremor with a cross-language approach. - Cristian David Ríos-Urrego; Jan Rusz; Juan Rafael Orozco-Arroyave (npj Digit. Medicine, 2024)

Verb Motility Dynamics Reveals Cognitive Impairment in Parkinson's Disease: A Speech-Language Fusion Approach. - Jhon Fredy Mercado-Agudelo; Daniel Escobar-Grisales; Cristian David Ríos-Urrego; Adolfo M. García; Yamile Bocanegra; Leonardo Moreno; Elmar Nöth; Juan Rafael Orozco-Arroyave (TSD (2), 2025)