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2020 – today
- 2024
[j18]Anastasios Alexiadis
, Athanasios Tsanas, Leonard Shtika, Vassilis Efopoulos, Konstantinos Votis, Dimitrios Tzovaras, Andreas Triantafyllidis:
Next-Day Prediction of Hypoglycaemic Episodes Based on the Use of a Mobile App for Diabetes Self-Management. IEEE Access 12: 7469-7478 (2024)- [j17]Kieran Woodward, Eiman Kanjo, Athanasios Tsanas:
Combining Deep Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification. ACM Trans. Comput. Heal. 5(1): 3:1-3:23 (2024) - [j16]Athanasios Tsanas, Andreas Triantafyllidis, Manolis Tsiknakis:
Guest Editorial Pervasive Computing in Healthcare. IEEE J. Biomed. Health Informatics 28(5): 2459-2460 (2024) - 2023
- [j15]Elsie M. F. Horne, Susannah McLean, Mohammad A. Alsallakh, Gwyneth A. Davies, David B. Price, Aziz Sheikh, Athanasios Tsanas:
Defining clinical subtypes of adult asthma using electronic health records: Analysis of a large UK primary care database with external validation. Int. J. Medical Informatics 170: 104942 (2023) - [j14]J. M. Górriz, I. Álvarez Illán, Agustín Álvarez Marquina, Juan Eloy Arco, Martin Atzmüller, F. Ballarini, Emilia I. Barakova, Guido Bologna, María Paula Bonomini, Germán Castellanos-Domínguez, Diego Castillo-Barnes, S. B. Cho, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, José Javier Martínez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, António Pereira, Pedro Pinacho Davidson, María Angélica Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, V. Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, S. H. Wang, Wei Wang, Y. D. Zhang, Hengde Zhu, Z. Zhu, J. M. Ferrández-Vicente:
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100: 101945 (2023) - [j13]Katherine Edgley, Ho-Yan Yvonne Chun, William Whiteley, Athanasios Tsanas:
New Insights into Stroke from Continuous Passively Collected Temperature and Sleep Data Using Wrist-Worn Wearables. Sensors 23(3): 1069 (2023) - [e3]Ana Cecília Roque, Denis Gracanin, Ronny Lorenz, Athanasios Tsanas, Nathalie Bier, Ana Fred, Hugo Gamboa:
Biomedical Engineering Systems and Technologies - 15th International Joint Conference, BIOSTEC 2022, Virtual Event, February 9-11, 2022, Revised Selected Papers. Communications in Computer and Information Science 1814, Springer 2023, ISBN 978-3-031-38853-8 [contents] - [e2]Athanasios Tsanas, Andreas Triantafyllidis:
Pervasive Computing Technologies for Healthcare - 16th EAI International Conference, PervasiveHealth 2022, Thessaloniki, Greece, December 12-14, 2022, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 488, Springer 2023, ISBN 978-3-031-34585-2 [contents] - 2022
- [j12]Benjamin Nicholls, Chee Siang Ang, Eiman Kanjo, Panote Siriaraya, Saber Mirzaee Bafti, Woon-Hong Yeo, Athanasios Tsanas:
An EMG-based Eating Behaviour Monitoring system with haptic feedback to promote mindful eating. Comput. Biol. Medicine 149: 106068 (2022) - [j11]Athanasios Tsanas:
Relevance, redundancy, and complementarity trade-off (RRCT): A principled, generic, robust feature-selection tool. Patterns 3(5): 100471 (2022) - [j10]Athanasios Tsanas:
Investigating Wrist-Based Acceleration Summary Measures across Different Sample Rates towards 24-Hour Physical Activity and Sleep Profile Assessment. Sensors 22(16): 6152 (2022) - [j9]Athanasios Tsanas, Siddharth Arora:
Data-Driven Subtyping of Parkinson's Using Acoustic Analysis of Sustained Vowels and Cluster Analysis: Findings in the Parkinson's Voice Initiative Study. SN Comput. Sci. 3(3): 232 (2022) - [j8]Kieran Woodward, Eiman Kanjo, David J. Brown, T. M. McGinnity, Becky Inkster, Donald J. Macintyre, Athanasios Tsanas:
Beyond Mobile Apps: A Survey of Technologies for Mental Well-Being. IEEE Trans. Affect. Comput. 13(3): 1216-1235 (2022) - [c26]Holly Tibble, Aziz Sheikh, Athanasios Tsanas:
Estimating Use of Short-term Asthma Reliever Inhalers from Electronic Prescription Records. BIOSIGNALS 2022: 311-318 - [c25]Athanasios Tsanas, Siddharth Arora:
Exploring Feature Selection and Feature Transformation Techniques to Improve Telephone-based Biomedical Speech Signal Processing towards Parkinson's Assessment. BIOSIGNALS 2022: 327-334 - [c24]Holly Tibble, Aziz Sheikh, Athanasios Tsanas:
Estimating Medication Adherence from Electronic Health Records Using Rolling Averages of Single Refill-based Estimates. EMBC 2022: 3554-3557 - [c23]Andrés Gómez-Rodellar, Pedro Gómez Vilda, José Manuel Ferrández de Vicente, Athanasios Tsanas:
Characterizing Masseter Surface Electromyography on EEG-Related Frequency Bands in Parkinson's Disease Neuromotor Dysarthria. IWINAC (1) 2022: 219-228 - [c22]Pedro Gómez Vilda, Andrés Gómez-Rodellar, Daniel Palacios-Alonso, Agustín Álvarez Marquina, Athanasios Tsanas:
Characterization of Hypokinetic Dysarthria by a CNN Based on Auditory Receptive Fields. IWINAC (1) 2022: 343-352 - [c21]Athanasios Tsanas:
Comparing Lab-based and Telephone-based Speech Recordings Towards Parkinson's Assessment: Insights from Acoustic Analysis. TSP 2022: 55-58 - [e1]Athanasios Tsanas, Ana Fred, Hugo Gamboa:
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2022, Volume 4: BIOSIGNALS, Online Streaming, February 9-11, 2022. SCITEPRESS 2022, ISBN 978-989-758-552-4 [contents] - 2021
- [j7]Athanasios Tsanas, Max A. Little, Lorraine O. Ramig:
Remote Assessment of Parkinson's Disease Symptom Severity Using the Simulated Cellular Mobile Telephone Network. IEEE Access 9: 11024-11036 (2021) - [j6]Siddharth Arora, Christine Lo, Michele T. M. Hu, Athanasios Tsanas:
Smartphone Speech Testing for Symptom Assessment in Rapid Eye Movement Sleep Behavior Disorder and Parkinson's Disease. IEEE Access 9: 44813-44824 (2021) - [j5]Andrés Gómez, Athanasios Tsanas, Pedro Gómez, Daniel Palacios-Alonso, V. Rodellar, Agustín Álvarez:
Acoustic to kinematic projection in Parkinson's disease dysarthria. Biomed. Signal Process. Control. 66: 102422 (2021) - [j4]Stephen R. Knight, Nathan Ng, Athanasios Tsanas, Kenneth A. McLean, Claudia Pagliari, Ewen M. Harrison:
Mobile devices and wearable technology for measuring patient outcomes after surgery: a systematic review. npj Digit. Medicine 4 (2021) - [c20]Holly Tibble, Aziz Sheikh, Athanasios Tsanas:
Estimation of Asthma Severity from Electronic Prescription Records using British Thoracic Society and Scottish Intercollegiate Guidelines Network Treatment Steps. BIBM 2021: 3222-3223 - [c19]Athanasios Tsanas:
Capitalizing on Patient Reported Outcome Measures, Wearables, and Smartphones Towards Developing New Clinical Decision Support Tools for Frequent, Remote, Longitudinal Monitoring of Chronic Disorders. BIOSTEC 2021: 5 - [c18]Pedro Gómez Vilda, Andrés Gómez-Rodellar, Daniel Palacios-Alonso, Athanasios Tsanas:
Evaluating the Performance of Diadochokinetic Tests in Characterizing Parkinson's Disease Hypokinetic Dysarthria. BIOSTEC (Selected Papers) 2021: 102-119 - [c17]Pedro Gómez Vilda, Andrés Gómez-Rodellar, Daniel Palacios-Alonso, Athanasios Tsanas:
Performance of Monosyllabic vs Multisyllabic Diadochokinetic Exercises in Evaluating Parkinson's Disease Hypokinetic Dysarthria from Fluency Distributions. BIOSIGNALS 2021: 114-123 - [c16]Athanasios Tsanas, Siddharth Arora:
Assessing Parkinson's Disease Speech Signal Generalization of Clustering Results across Three Countries: Findings in the Parkinson's Voice Initiative Study. BIOSIGNALS 2021: 124-131 - 2020
- [c15]Agustín Álvarez, Andrés Gómez, Daniel Palacios-Alonso, Jirí Mekyska, Athanasios Tsanas, Pedro Gómez, Rafael Martínez:
Parkinson's Disease Glottal Flow Characterization: Phonation Features vs Amplitude Distributions. BIOSIGNALS 2020: 359-368 - [c14]Athanasios Tsanas, Siddharth Arora:
Large-scale Clustering of People Diagnosed with Parkinson's Disease using Acoustic Analysis of Sustained Vowels: Findings in the Parkinson's Voice Initiative Study. BIOSIGNALS 2020: 369-376 - [c13]Minhong Wang, Athanasios Tsanas, Guillaume Blin, Dave Robertson:
Assessing Preferred Proximity Between Different Types of Embryonic Stem Cells. BIOSIGNALS 2020: 377-381 - [c12]Evdoxia Valavani, Dimitrios Doudesis, Ioannis Kourtesis, Richard F. M. Chin, Donald J. Macintyre, Sue Fletcher-Watson, James P. Boardman, Athanasios Tsanas:
Data-Driven Insights towards Risk Assessment of Postpartum Depression. BIOSIGNALS 2020: 382-389 - [c11]Andrés Gómez-Rodellar, Athanasios Tsanas, Pedro Gómez Vilda, Agustín Álvarez Marquina, Daniel Palacios-Alonso:
Individual Mandibular Motor Actions estimated from Speech Articulation Features. RaPID@LREC 2020 - [i4]Kieran Woodward, Eiman Kanjo, Athanasios Tsanas:
Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification. CoRR abs/2012.03711 (2020)
2010 – 2019
- 2019
- [c10]Holly Tibble, Amy Chan, Edwin A. Mitchell, Rob Horne, Mehrdad A. Mizani, Aziz Sheikh, Athanasios Tsanas:
Heterogeneity in Asthma Medication Adherence Measurement. BIBE 2019: 899-903 - [c9]Minhong Wang, Athanasios Tsanas, Guillaume Blin, Dave Robertson:
Investigating Motility and Pattern Formation in Pluripotent Stem Cells Through Agent-Based Modeling. BIBE 2019: 909-913 - [c8]Athanasios Tsanas, Siddharth Arora:
Exploring Telephone-Quality Speech Signals Towards Parkinson's Disease Assessment in a Large Acoustically Non-controlled Study. BIBE 2019: 953-956 - [c7]Athanasios Tsanas:
New insights into Parkinson's disease through statistical analysis of standard clinical scales quantifying symptom severity. EMBC 2019: 3412-3415 - [c6]Daniel Palacios-Alonso, J. Carlos Lázaro-Carrascosa, Agustín López-Arribas, Guillermo Meléndez-Morales, Andrés Gómez-Rodellar, Andrés Loro-Álavez, Victor Nieto Lluis, María Victoria Rodellar Biarge, Athanasios Tsanas, Pedro Gómez Vilda:
Assessing an Application of Spontaneous Stressed Speech - Emotions Portal. IWINAC (1) 2019: 149-160 - [i3]Kieran Woodward, Eiman Kanjo, David J. Brown, T. Martin McGinnity, Becky Inkster, Donald J. Macintyre, Athanasios Tsanas:
Beyond Mobile Apps: A Survey of Technologies for Mental Well-being. CoRR abs/1905.00288 (2019) - [i2]Siddharth Arora, Ladan Baghai-Ravary, Athanasios Tsanas:
Developing a large scale population screening tool for the assessment of Parkinson's disease using telephone-quality voice. CoRR abs/1905.00377 (2019) - [i1]Benjamin Nicholls, Chee Siang Ang, Eiman Kanjo, Panote Siriaraya, Woon-Hong Yeo, Athanasios Tsanas:
An EMG-based Eating Behaviour Monitoring System with Haptic Feedback to Promote Mindful Eating. CoRR abs/1907.10917 (2019) - 2017
- [j3]Niclas Palmius, Athanasios Tsanas, Kate E. A. Saunders, A. C. Bilderbeck, John R. Geddes, Guy M. Goodwin, Maarten De Vos:
Detecting Bipolar Depression From Geographic Location Data. IEEE Trans. Biomed. Eng. 64(8): 1761-1771 (2017) - 2016
- [p1]Pedro Gómez Vilda, Agustín Álvarez Marquina, Athanasios Tsanas, Carlos A. Lázaro Carrascosa, Victoria Rodellar-Biarge, Victor Nieto Lluis, Rafael Martínez-Olalla:
Phonation Biomechanics in Quantifying Parkinson's Disease Symptom Severity. Recent Advances in Nonlinear Speech Processing 2016: 93-102 - 2015
- [c5]Elina Naydenova, Athanasios Tsanas, Climent Casals-Pascual, Maarten De Vos:
Smart diagnostic algorithms for automated detection of childhood pneumonia in resource-constrained settings. GHTC 2015: 377-384 - 2014
- [c4]Athanasios Tsanas, Gari D. Clifford, Vassiliki Vartela, Petros Sfirakis:
Quantitative Insights into the Closed-loop Cardiovascular System using an Electrical Lumped Element Physiological Model. CinC 2014: 509-512 - [d3]Athanasios Tsanas:
LSVT Voice Rehabilitation. UCI Machine Learning Repository, 2014
- 2012
- [j2]Athanasios Tsanas, Max A. Little, Patrick E. McSharry, Jennifer L. Spielman, Lorraine O. Ramig:
Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease. IEEE Trans. Biomed. Eng. 59(5): 1264-1271 (2012) - [d2]Athanasios Tsanas, Angeliki Xifara:
Energy efficiency. UCI Machine Learning Repository, 2012 - 2011
- [c3]Shimon Sapir, Sabine Skodda, Athanasios Tsanas, Jan Rusz:
Special session: acoustic analysis of Parkinsonian speech: issues, methods, and applications. MAVEBA 2011: 166-167 - [c2]Athanasios Tsanas, Max A. Little, Patrick E. McSharry, Lorraine O. Ramig:
Robust parsimonious selection of dysphonia measures for telemonitoring of Parkinson's disease symptom severity. MAVEBA 2011: 169-172 - 2010
- [j1]Athanasios Tsanas, Max A. Little, Patrick E. McSharry, Lorraine O. Ramig:
Accurate Telemonitoring of Parkinson's Disease Progression by Noninvasive Speech Tests. IEEE Trans. Biomed. Eng. 57(4): 884-893 (2010) - [c1]Athanasios Tsanas, Max A. Little, Patrick E. McSharry, Lorraine O. Ramig:
Enhanced classical dysphonia measures and sparse regression for telemonitoring of Parkinson's disease progression. ICASSP 2010: 594-597
2000 – 2009
- 2009
- [d1]Athanasios Tsanas, Max A. Little:
Parkinsons Telemonitoring. UCI Machine Learning Repository, 2009
Coauthor Index
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