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Accepted papers

MAIN TRACK

  • Evaluating memory and cognition via a wearable EEG system: a preliminary study – Miloulis, Stavros-Theofanis (School of Electrical and Computer Engineering, National Technical University of Athens, Greece); Kakkos, Ioannis (School of Electrical and Computer Engineering, National Technical University of Athens, Greece); Georgios, Dimitrakopoulos (Department of Medicine, University of Patras, Greece); Sun, Yu (Department of Biomedical Engineering, Zhejiang University, China); Karanasiou, Irene (Department of Mathematics and Engineering Sciences, Hellenic Military Academy, Greece); Asvestas, Panteleimon (Department of Biomedical Engineering, University of West Attica, Greece); Ventouras, Errikos-Chaim (Department of Biomedical Engineering, University of West Attica, Greece); Matsopoulos, George (School of Electrical and Computer Engineering, National Technical University of Athens, Greece)
  • Design of a Mobile-Based Neurological Assessment Tool for Aging Populations – Templeton, John M (University of Notre Dame); Poellabauer, Christian (University of Notre Dame); Schneider, Sandra (University of Notre Dame)
  • Forecast Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network – Yu, Han (Rice University); Itoh, Asami (Mie Univeristy); Sakamoto, Ryota (Mie Univeristy); Shimaoka, Motomu (Mie University); Sano, Akane (Rice University)
  • Experiences in Designing a Mobile Speech-Based Assessment Tool for Neurological Diseases – Daudet, Louis (University of Notre Dame); Poellabauer, Christian (University of Notre Dame); Schneider, Sandra (Saint Mary’s College)
  • A home-based self-administered assessment of neck proprioception – Basteris, Angelo (University of Southern Denmark); Tornbjerg, Charlotte Egeskov (University of Southern Denmark); Leth, Frederikke Birkeholm (University of Southern Denmark); Wiil, Uffe Kock (University of Southern Denmark)
  • Health Telescope: system design for longitudinal data collection using mobile applications – Willemse, Bastiaan Johannes Paulus Cornelis (Jheronimus Academy of Data Science); Kaptein, Maurits Clemens (Jheronimus Academy of Data Science); Batalas, Nikolaos (Technische Universiteit Eindhoven); Hasaart, Fleur (CZ)
  • Patient-independent Schizophrenia Relapse Prediction Using Daily Template of Hourly Mobile Sensing Data – Lamichhane, Bishal (Rice University, USA); Ben-Zeev, Dror (University of Washington, USA); Campbell, Andrew (Dartmouth College, USA); Choudhury, Tanzeem (Cornell University, USA); Hauser, Marta (Northwell Health, USA); Kane, John (Northwell Health, USA); Obuchi, Mikio (Dartmouth College, USA); Scherer, Emily (Dartmouth College, USA); Walsh, Megan (Northwell Health, USA); Wang, Rui (Dartmouth College); Wang, Weichen (Dartmouth College); Sano, Akane (Rice University)
  • Improving Patient Throughput By Streamlining The Surgical Care-Pathway Process – Mc Mahon, David; Walsh, Prof Joseph (Head of School STEM,Imar Institute of Technology Tralee Ireland Tralee Co Kerry); Nogales, Dr Juncal (Project Co-ordinator)

LATE TRACK

  • Connect – Blockchain and Self-Sovereign Identity Empowered Contact Tracing Platform – Herath, Eranga (Old Dominion University)
  • A Deep Learning Model for Exercise-Based Rehabilitation using Multi-channel Time-Series Data from a Single Wearable Sensor – Prabhu, Ghanashyama (Insight Centre for Data Analytics, Dublin City University, Dublin, Ireland); O’Connor, Noel E. (Insight Centre for Data Analytics, Dublin City University, Dublin, Ireland); Moran, Kieran (Insight Centre for Data Analytics, Dublin City University, Dublin, Ireland)
  • Bayesian Inference Federated Learning for Heart Rate Prediction – Liu, Xiaoli (University of Helsinki); Fang, Lei (University of St Andrews); Su, Xiang (University of Helsinki); Ye, Juan (University of Saint Andrews); Dobson, Simon (University of St. Andrews); Hui, Pan (The Hong Kong University of Science and Technology); Tarkoma, Sasu (University of Helsinki)
  • Towards Mobile-based Preprocessing Pipeline for Electroencephalography (EEG) Analyses: The Case of Tinnitus – Mehdi, Muntazir (Institute of Distributed Systems, Ulm University); Hennig, Lukas (Institute of Distributed Systems, Ulm University); Diemer, Florian (Institute of Distributed Systems, Ulm University); Dode, Albi (Institute of Databases and Information Systems, Ulm University); Pryss, Ruediger (Institute of Clinical Epidemiology and Biometry, University of Wuerzburg); Schlee, Winfried (Clinic and Policlinic for Psychiatry and Psychotherapy, Regensburg, Germany); Reichert, Manfred (Institute of Databases and Information Systems, Ulm University); Hauck, Franz J. (Institute of Distributed Systems, Ulm University)
  • Understanding E-Mental Health for People with Depression: An Evaluation Study – Blankenhagel, Kim Janine (Technische Universität Berlin); Werner, Johannes (Technische Universität Berlin); Mayer, Gwendolyn (Universitätsklinikum Heidelberg); Schultz, Jobst-Hendrik (Universitätsklinikum Heidelberg); Zarnekow, Rüdiger (Technische Universität Berlin)

DIGIHEALTHSOUTH AND MEDAI WORKSHOPS

  • Participant modeling: The use of a guided master in the modern world of Virtual Reality Exposure Therapy – Caravas, Pamela (Institute of Coaching, McLean Hospital, Harvard Medical School Affiliate); Alevizopoulos, Giorgos(National Kapodistrian University of Athens); Koutsouris, Dimitris (Biomedical Engineering Laboratory, National Technical University of Athens); Kritikos, Jacob (National Technical University of Athens)
  • Validation of Omron Wearable Blood Pressure Monitor HeartGuide in Free-living Environments – Liang, Zilu (Kyoto University of Advanced Science); Chapa-Martell, Mario (Silver Egg Technology)
  • Data mining Application to Analyze Outbreak Surveillance and Response System: In case of Ethiopia – Mohammed, Yimer
  • Artificial Empathy for Clinical Companion Robots with Privacy-by-Design – Vargas Martin, Miguel (Ontario Tech University, Canada); Perez Valle, Eduardo (Instituto Tecnologico y de Estudios Superiores de Monterrey, Mexico); Horsburgh, Sheri (Ontario Shores Centre for Mental Health Sciences, Canada)
  • Using Bayesian Optimization to Effectively Tune Random Forest and XGBoost Hyperparameters for Early Alzheimer’s Disease Diagnosis – Bloch, Louise (University of Applied Sciences and Arts Dortmund); Friedrich, Christoph M. (University of Applied Sciences and Arts Dortmund)
  • Expanding eVision’s Granularity of Influenza Forecasting – Shaghaghi, Navid (Santa Clara Univesity); Calle, Andres (Santa Clara University); Kouretas, George (Santa Clare University); Karishetti, Supriya (Santa Clara University); Wagh, Tanmay (Santa Clara University)
  • The effects of masking when classifying images of melanoma through CNNs – Nunnari, Fabrizio (German Research Center for Artificial Intelligence (DFKI)); Ezema, Abraham (German Research Center for Artificial Intelligence (DFKI)); Sonntag, Daniel (German Research Center for Artificial Intelligence (DFKI))
  • A Proposal of Clinical Decision Support System using Ensemble Learning For Coronary Artery Disease Diagnosis – Sammout, Rawia (the national school of computer science tunisia); Ben SALAH, Kais (Computing and Information Technology Faculty of Computing and Information Technology Jeddah, SA); Ghedira, Kahled (SSOIE COSMOS National School of Computer Sciences Manouba, Tunisia); Abdelhedi, Rania (Laboratory of Molecular and Cellular Screening Processes Centre of Biotechnology of Sfax Sfax, Tunisia); Kharrat, Najla (Laboratory of Molecular and Cellular Screening Processes) Centre of Biotechnology of Sfax Sfax, tunisia); Abid, Leila (Cardiology service Hedi Chaker University Hospital Sfax Sfax, Tunisia); Bouayed Abdelmoula, Nouha (Department of History Faculty of Medicine of Sfax Sfax, Tunisia)
  • Robust and markerfree in vitro axon segmentation with CNNs – Grüning, Philipp (University of Lübeck); Palumbo, Alex (Fraunhofer EMB Lübeck, University of Lübeck); Landt, Svenja Kim (Fraunhofer EMB Lübeck, University of Lübeckk); Heckmann, Lara (Fraunhofer EMB Lübeck, University of Lübeck); Brackhagen, Leslie (University of Lübeck); Zille, Marietta (Fraunhofer EMB Lübeck, University of Lübeck); Madany Mamlouk, Amir(University of Lübeck)
  • Deep-Learning-based Feature Encoding of Clinical Parameters for Patient Specific CTA Dose Optimization – Fleitmann, Marja (Institute of Medical Informatics, University of Lübeck); Uzunova, Hristina (Institute of Medical Informatics, University of Lübeck); Stroth, Andreas Martin (Department of Radiology and Nuclear Medicine, UKSH Lübeck); Gerlach, Jan (Department of Radiology and Nuclear Medicine, UKSH LĂĽbeck); Fürschke , Alexander (Department of Radiology and Nuclear Medicine, UKSH Lübeck); Barkhausen, Jörg (Department of Radiology and Nuclear Medicine, UKSH Lübeck); Bischof, Arpad (Department of Radiology and Nuclear Medicine, UKSH Lübeck); Handels, Heinz (Institute of Medical Informatics, University of Lübeck)
  • COVID-19 patient outcome prediction using selected features from emergency department data and feed-forward neural networks – Peacock, Sophie (Sensyne Health plc); Cinelli, Mattia (Sensyne Health plc); Heldt, Frank S (Sensyne Health plc); McLachlan, Lachlan (Sensyne Health plc); Vizcaychipi, Marcela (Chelsea and Westminster Hospital NHS Foundation Trust, UK); McCarthy, Alex (Chelsea and Westminster Hospital NHS Foundation Trust, UK); Lipunova, Nadezda (Sensyne Health plc); Fletcher, Robert A (Sensyne Health plc); Hancock, Ann (Sensyne Health plc); DĂĽrichen, Robert (Sensyne Health plc); Andreotti, Fernando (Sensyne Health plc); Khan, Rabia T (Sensyne Health plc)
  • Explainable Deep Learning for Medical Time Series Data – Frick, Thomas (IBM Research Zurich); Glüge, Stefan (Zurich University of Applied Sciences); Rahimi, Abbas (ETH Zurich); Benini, Luca (ETH Zurich); Brunschwiler, Thomas (IBM Research Zurich)
  • Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology – Jayachandran, Srinath (Robert Bosch, Bangalore, India); Ghosh, Ashlin (Robert Bosch, Bangalore, India)