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Athanasios Tsanas
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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, Shui-Hua Wang, Wei Wang, Yu-Dong Zhang, Hengde Zhu, Ziquan 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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