1. G. Arvanitis, A. S. Lalos, K. Moustakas , "Scalable Coding of Dynamic 3D Meshes for Low-latency Streaming Applications" , International Conference on Geometric Modeling and Processing , June 19-21, 2019 Vancouver, Canada
  2. A. Lalas, E. Polychronidou, S. Nousias, P. Evaggelatos, R. Kordonias, G. Arvanitis, A. Kokonozi, P. Steiropoulos, A. Fourlis, A. Georgiou, P. Angelidis, E. Karvounis, K. Moustakas, V. Koutkias, K. Votis, D. Tzovaras , "Take-A-Breath: Smart Platform for Self-management and Support of Patients with Chronic Respiratory Diseases" , International Conference on Information, Intelligence, Systems and Applications (IISA), 15-17 July, 2019 Patras, Greece.
  3. G. Arvanitis, A. S. Lalos, K. Moustakas , "Saliency Mapping for Processing 3D Meshes in Industrial Modeling Applications" , IEEE International Conference on Industrial Informatics, INDIN’19 , Industrial Applications of Artificial Intelligence, 22-25 July, 2019, Helsinki-Espoo, Finland
  4. A. Lalas, E. Polychronidou, R. Kordonias, P. Evaggelatos, V. Koutkias, K. Votis, D. Tzovaras , "Intelligent Clinical Platform for Self-management, Training, and Support of Chronic Respiratory Patients" , SimInhale International Conference on Current Challenges and Future Opportunities for Inhalation Therapies September-October, 2019 Athens, Greece
  5. A. Lalas, E. Polychronidou, K. Votis, K. Danas, D. Tzovaras , "Self-Management Platform for Chronic Respiratory Diseases through 5G-Enabled Monitoring and Training Approaches" , Workshop on 5G e/m-Health and Wearables at the 43rd Wireless World Research Forum (WWRF) Meeting, October 2019, London, United Kingdom
  6. E. Polychronidou, A. Lalas, D. Tzovaras and K. Votis , "A systematic distributing sensor system prototype for respiratory diseases" ,Best Paper award , 7th international workshop on e-Health Pervasive Wireless Applications and Services (eHPWAS), October 2019, Barcelona, Spain
  7. D. Pettas, S. Nousias, E. I. Zacharaki, K. Moustakas , “Recognition of breathing activity and medication adherence using LSTM Neural Networks” , IEEE International Conference on BioInformatics and BioEngineering (BIBE) 28-30 October, 2019 Athens, Greece
  8. N. Stagakis, E.I. Zacharaki, K. Moustakas , "Hierarchical Image Inpainting by a Deep Context Encoder Exploiting Structural Similarity and Saliency Criteria" , International Conference on Computer Vision Systems, 470–479. 2019
  9. S. Nousias, E.I. Zacharaki, K. Moustakas , "AVATREE: An open-source computational modelling framework modelling Anatomically Valid Airway TREE conformations" , PLoS ONE 15(4): e0230259, 2020
  10. V. Ntalianis,N.D. Fakotakis,S. Nousias , "Deep CNN Sparse Coding for Real Time Inhaler Sounds Classification" , Sensors (Basel). 2020;20(8):2363, April 21, 2020
  11. A.-C. Eleftheriadou,A. Vafeiadis,A. Lalas,K. Votis,D. Tzovaras , "An Audio-Based Method for Assessing Proper Usage of Dry Powder Inhalers" , Appl. Sci. 2020, 10, 6677, 24 September 2020