Programme time zone is GMT+1 (Lisbon time).
First Day (June, 7th)
| Session 1 | Session 2 | |
| 9:00 | Opening Session | |
| 9:15 | Invited Speaker: Peter Rijnbeek, Erasmus MC | |
| 9:30 | ||
| 9:45 | ||
| 10:00 | ||
| 10:15 | Coffee Break | |
| Biomedical Signal and Image Processing Chair: Diogo Pratas, Co-chair: João Almeida |
Data Analysis and Visualization Chair: Joel Arrais, Co-chair: Sérgio Matos |
|
| 10:30 | Automated Segmentation of the Central Serous Chorioretinopathy fluid regions using Optical Coherence Tomography Scans, Joaquim de Moura, Jorge Novo, Marcos Ortega, Noelia Barreira and Manuel G. Penedo | Is it a good time to survey you? Cognitive load classification from Blood Volume Pulse, Aneta Lisowska, Szymon Wilk and Mor Peleg |
| 10:45 | Automatic Segmentation And Estimation Of Ischemic Regions In Oct Angiography Scans, Macarena Díaz, Plácido L. Vidal, Jorge Novo, Marcos Ortega and Manuel G. Penedo | Classification of Autism Spectrum Disorder Severity Using Eye Tracking Data Based on Visual Attention Model, Mirian Revers, Jessica Oliveira, Felipe Franco, Joana Portolese, Thiago Cardoso, Andréia Silva, Ariane Machado-Lima, Fátima Nunes and Helena Brentani |
| 11:00 | Comparative and Behavioural Analysis of a Diffuse Paradigm for the Evaluation of Diabetic Macular Edema in OCT images, Plácido Francisco Lizancos Vidal, Joaquim de Moura, Macarena Díaz, Jorge Novo and Marcos Ortega | DETR and YOLOv5: Exploring Performance and Self-Training for Diabetic Foot Ulcer Detection, Raphael Brüngel and Christoph M. Friedrich |
| 11:15 | Automatic Detection of Tonic-Clonic and Myoclonic Epileptic Seizures Using Prefrontal Electroencephalography (EEG), Ana Sofia Carmo, Mariana Abreu, Hugo Plácido da Silva and Ana Luisa Nobre Fred | Personalised Short-Term Glucose Prediction via Recurrent Self-Attention Network, Ran Cui, Chirath Hettiarachchi, Christopher J Nolan, Elena Daskalaki and Hanna Suominen |
| 11:30 | Coffee Break | |
| Decision Support and Recommendation Systems Chair: Rüdiger Pryss, Co-chair: Diogo Pratas |
Data Mining in Healthcare Chair: Alfredo Benso, Co-chair: Sérgio Matos |
|
| 11:45 | Treatment Recommendations for COVID-19 Patients along with Robust Explanations, Panagiotis Symeonidis, Christos Andras and Markus Zanker | Prediction of ICU admission for COVID-19 patients: a Machine Learning approach based on Complete Blood Count data, Lorenzo Famiglini, Giorgio Bini, Anna Carobene, Andrea Campagner and Federico Cabitza |
| 12:00 | Recommending What Drug to Prescribe Next for Accurate and Explainable Medical Decisions, Panagiotis Symeonidis, Stergios Xairistanidis and Markus Zanker | 3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities, Barbara Villarini, Hykoush Asaturyan, Sila Kurugol, Onur Afacan, Jimmy D. Bell and E. Louise Thomas |
| 12:15 | A Meta-Path-Based Prediction Method for Disease Comorbidities, Eduardo P. García del Valle, Gerardo Lagunes García, Lucía Prieto Santamaría, Massimiliano Zanin, Ernestina Menasalvas Ruiz and Alejandro Rodríguez-González | Optimizing Recurrent Neural Network Architectures for De Novo Drug Design, Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro and Joel P. Arrais |
| 12:30 | Predicting Opioid Prescriptions based on Patient Demographics in MIMIC-IV, Snigdha Kodela, Jahnavi Pinnamraju and Saptarshi Purkayastha | Improvements in lymphocytes detection using deep learning with a preprocessing stage, Rodrigo Escobar Díaz Guerrero and José Luís Oliveira |
| 12:45 | Lunch Break | |
| 13:00 | ||
| 13:15 | ||
| 13:30 | ||
| 13:45 | ||
| Information Technologies in Healthcare Chair: Lucía Prieto, Co-chair: Arnaldo Pereira |
Healthcare Data and Knowledge Management Chair: Sérgio Matos, Co-chair: João F Silva |
|
| 14:00 | More Agile than ever: the case study of the development of a dashboard for the management of ICU beds during the coronavirus outbreak, Itamir de Morais Barroca Filho, Silvio Sampaio, Anderson Cruz, Victor Hugo Freire Ramalho, Jefferson Augusto Rodrigues de Azevedo and Átila Caetano da Silveira | Multilevel Clustering Explainer: An Explainable Approach to Electronic Health Records, Jose Maria Clementino Junior, Bruno Squizato Faiçal, Christian C. Bones, Caetano Traina, Marco Gutierrez and Agma Traina |
| 14:15 | Supporting IoT-based applications to combat the Aedes aegypti mosquito: a case in Brazil, Henrique Silva, Elias Adriano, Denise Scatolini and Rosana Braga | Evaluating a Longitudinal Synthetic Data Generator using Real World Data, Zhenchen Wang, Puja Myles, Anu Jain, James Keidel, Roberto Liddi, Lucy Mackillop, Carmelo Velardo and Allan Tucker |
| 14:30 | Risk Management of a Low-cost Insulin Infusion Pump: A Case Study with a Brazilian Company, Aldo Martinazzo, Luiz Eduardo Martins, Tatiana Cunha and Sebastião Vagner Aredes | Evaluating Hierarchical Medical Workflows using Feature Importance, Urja Pawar, Christopher T Culbert and Ruairi O’Reilly |
| 14:45 | Public Perception of the German COVID-19 Contact-Tracing App Corona-Warn-App, Felix Beierle, Uttam Dhakal, Caroline Cohrdes, Sophie Eicher and Rüdiger Pryss | Towards Clustering Human Behavioral Patterns based on Digital Phenotyping, José Daniel P. Ribeiro Filho, Ariel S. Teles, Francisco J.S. Silva and Luciano R. Coutinho |
| 15:00 | Coffee Break | |
| Human-Computer Interaction (HCI) in Healthcare Chair: Bridget Kane, Co-chair: Arnaldo Pereira |
Biomedical Signal, Image Processing and Data Mining in Healthcare Chair: Ignacio Martinez Soriano, Co-chair: Rui Antunes |
|
| 15:15 | CHART-ADAPT: Enabling actionable analytics at the critical care unit bedside, Laura Moss, Martin Shaw, Ian Piper, John Kinsella and Chris Hawthorne | An End-to-End 3D ConvLSTM-based Framework for Early Diagnosis of Alzheimer’s Disease from Full-Resolution Whole-Brain sMRI Scans, Selene Tomassini, Nicola Falcionelli, Paolo Sernani, Henning Müller and Aldo Franco Dragoni |
| 15:30 | User-centric vs whole-stream learning for EMA prediction, Saijal Shahania, Vishnu Unnikrishnan, Rüdiger Pryss, Robin Kraft, Johannes Schobel, Ronny Hannemann, Winfried Schlee and Myra Spiliopoulou | R-GAN: Retinal Image Enhancement using Generative Adversarial Networks, Sourodip Ghosh, Moinak Bose and K.C. Santosh |
| 15:45 | How Healthcare Professionals Comprehend Process Models – An Empirical Eye Tracking Analysis, Michael Winter, Cynthia Bredemeyer, Manfred Reichert, Heiko Neumann, Thomas Probst and Rüdiger Pryss | Motor Imagery EEG Signal Classification based on Deep Transfer Learning, Mingnan Wei, Rui Yang and Mengjie Huang |
| 16:00 | Analysing Impacts of Games for Health through Users’ Opinion Mining, Renato Santos, Joel P. Arrais and Paula Alexandra Silva | Sperm Cell Segmentation in Digital Micrographs based on Convolutional Neural Networks using U-Net Architecture, Roy Melendez, César Beltrán and Rosario Medina |
| 16:15 | Coffee Break | |
| ST: Security of e-Health Systems and Connected Medical Devices | ST: MedNetImaging2021 – Medical Imaging Systems and Networks | |
| 16:30 | Blockchain Technology in Healthcare: A Scientific and Technological Driving Force, Chang Liu, Shu Zhou, Irena Vodenska, Lou Chitkushev, Guanglan Zhang, Shahin Gheitanchi and Reza Rawassizadeh | A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices, Zhiyun Xue, Peng Guo, Kanan Desai, Anabik Pal, Kayode Ajenifuja, Clement Adepiti, Rodney Long, Mark Schiffman and Sameer Antani |
| 16:45 | Towards a decentralized e-prescription system using smart contracts, Rodrigo D. Garcia, Gabriel A. Zutião, Gowri Ramachandran and Jo Ueyama | Dicomization of LSM fluorescence composite microscopic image with its bioimaging information, Yubraj Gupta, Carlos Costa, Eduardo Pinho, Luís A. Bastião Silva, Shibarjun Mandal and Ute Neugebauer |
| 17:00 | Learning Health Systems: An Anonymous Network Routing Protocol, Thibaud Ecarot, Benoit Fraikin, Luc Lavoie, Mark Mcgilchrist and Jean-François Ethier | A light-weight self-learning teacher-student framework for gastrointestinal image classification, Henrik L. Gjestang, Steven Hicks, Vajira Thambawita, Pål Halvorsen and Michael Riegler |
| 17:15 | Private Data Sharing in a Secure Cloud-based Application for Acute Stroke Care, Lúcio Reis, Marcela Oliveira, Diogo Mattos and Silvia Olabarriaga | An Architecture to Define Cohorts over Medical Imaging Datasets, João Rafael Almeida, Eriksson Monteiro and José Luís Oliveira |
| 17:30 | Securing Embedded Medical Devices using Dual-Factor Authentication, Saurav Maji, Utsav Banerjee, Samuel H. Fuller, Rabia Tugce Yazicigil and Anantha P. Chandrakasan | |
Second Day (June, 8th)
| Session 1 | Session 2 | |
| 9:00 | Invited Speaker: Elisa Ficarra, UNIMORE | |
| 9:15 | ||
| 9:30 | ||
| 9:45 | ||
| 10:00 | ||
| 10:15 | Coffee Break | |
| Biomedical Signal and Image Processing Chair: Isabel Praça, Co-chair: Joel Arrais |
Data Mining in Healthcare Chair: José Benítez-Andrades, Co-chair: André Pedrosa |
|
| 10:30 | Hierarchical Visual Concept Interpretation for Medical Image Detection, Mohammed Khaleel, Wallapak Tavanapong, Johnny Wong, Junghwan Oh and Piet De Groen | Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks, Mina Adel Fahmy Nessiem, Mostafa M. Mohamed, Harry Coppock, Alexander Gaskell and Björn W. Schuller |
| 10:45 | Tumor Segmentation in Brain MRI: U-Nets versus Feature Pyramid Network, Sourodip Ghosh and K.C. Santosh | Enhanced CNN-Based Gaze Estimation on Wireless Capsule Endoscopy Images, Panagiota Gatoula, George Dimas, Dimitris Iakovidis and Anastasios Koulaouzidis |
| 11:00 | NanoNet: Real-Time Polyp Segmentation in Endoscopy, Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael Riegler, Håvard D. Johansen, Dag Johansen and Pål Halvorsen | Improved Gastrointestinal Screening: Deep Features using Stacked Generalization, Sourodip Ghosh and K.C. Santosh |
| 11:15 | Black Hole algorithm with convolutional neural networks for the creation of a Brain-Switch using visual perception, Fabio Ricardo Llorella Costa, José M. Azorín and Gustavo Patow | Semi-Supervised Learning for Cervical Precancer Detection, Sandeep Angara, Peng Guo, Zhiyun Xue and Sameer Antani |
| 11:30 | Coffee Break | |
| Decision Support and Recommendation Systems Chair: Myra Spiliopoulou, Co-chair: Joel Arrais |
Radiomics and Radiogenomics Chair: Luís Bastião, Co-chair: João Almeida |
|
| 11:45 | An intelligent drug delivery system for neuromuscular blockade in healthcare, Jorge Silva, Teresa Mendonça and Paula Rocha | BEAUT: a radiomic approach to predict potential lumbar fractures in magnetic resonance imaging, Jonathan Ramos, Jamilly Maciel, Mirela Teixeira Cazzolato, Caetano Traina Jr., Marcello Henrique Nogueira-Barbosa and Agma Traina |
| 12:00 | Assessing the Clinical Validity of Attention-based and SHAP Temporal Explanations for Adverse Drug Event Predictions, Jonathan Rebane, Isak Samsten, Panteleimon Pantelidis and Panagiotis Papapetrou | A Multi-Expert System to Detect COVID-19 Cases in X-ray Images, Valerio Guarrasi, Natascha Claudia D’Amico, Rosa Sicilia, Ermanno Cordelli and Paolo Soda |
| 12:15 | Exploiting Clinical Staging Data to Constrain Pseudo-Time Modelling of Disease Progression, Seyed Erfan Sajjadi and Allan Tucker | Deep embedded clustering algorithm for clustering PACS repositories, Teo Manojlović, Matija Milanič and Ivan Štajduhar |
| 12:30 | Monitoring Breast Cancer Neoadjuvant Treatment using Thermographic Time Series, Adriel Santos Araujo, Milena H. S. Issa, Petrucio R. T. Medeiros, Ángel Sánchez, Débora C. Muchaluat-Saade and Aura Conci | Exploring Deep Pathomics in Lung Cancer, Charles Z. Liu, Matteo Tortora, Rosa Sicilia, Ermanno Cordelli, Lorenzo Nibid, Giovanna Sabarese, Giuseppe Perrone, Michele Fiore, Sara Ramella and Paolo Soda |
| 12:45 | Lunch Break CBMS Steering Committee Meeting |
|
| 13:00 | ||
| 13:15 | ||
| 13:30 | ||
| 13:45 | ||
| Semantics and Knowledge Representation Chair: KC Santosh, Co-chair: Rui Antunes |
Data Analysis and Knowledge Discovery Chair: Rodrigo Escobar, Co-chair: João Almeida |
|
| 14:00 | A Comprehensive Analysis on Retrieval and Visualisation Platforms about Rare Diseases, Mariana Sequeira, João Rafael Almeida and José Luís Oliveira | Boosting CPAP Adherence with Accessible Recommendations Using Artificial Neural Networks, Matheus Araújo, Tara Pereira, Jaideep Srivastava and Conrad Iber |
| 14:15 | Towards Semantic-Awareness for Information Management and Planning in Health Dialogues, Milene Santos Teixeira, Vinícius Maran and Mauro Dragoni | Classification of static infrared images using pre-trained CNN for breast cancer detection, Caroline B. Gonçalves, Henrique Fernandes and Jefferson R. Souza |
| 14:30 | Semantic Annotation and Classification of Mammography Images using Ontologies, Juliana Wolf Pereira and Marcela Xavier Ribeiro | A fully automated deep learning pipeline to assess muscle mass in brain tumor patients, Radvile Mauricaite, Ella Mi, Jiarong Chen, Andrew Ho, Lillie Pakzad-Shahabi and Matt Williams |
| 14:45 | Easing the Questioning of Semantic Biomedical Data, Arnaldo Pereira, Rui Pedro Lopes and José Luís Oliveira | Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Early Alzheimer’s Disease Detection with Machine Learning, Louise Bloch and Christoph M. Friedrich |
| 15:00 | Coffee Break | |
| ST: CBMEH – Computational based Biomarkers for Mental and Emotional Health | ST: Explainable Machine Learning models in Medical Imaging | |
| 15:15 | Agenda available here | On Cost-Sensitive Calibrated Uncertainty in Deep Learning: An application on COVID-19 detection, Biraja Ghoshal and Allan Tucker |
| 15:30 | FIRE: Unsupervised bi-directional inter- and intra-modality registration using deep networks, Chengjia Wang, Guang Yang and Giorgos Papanastasiou | |
| 15:45 | Visual interpretation of CNN decision-making process using Simulated Brain MRI, Edouard Villain, Giulia Maria Mattia, Federico Nemmi, Patrice Péran, Xavier Franceries and Marie-Véronique Le Lann | |
| 16:00 | Explainable AI for COVID-19 CT Classifiers: An Initial Comparison Study, Qinghao Ye, Jun Xia and Guang Yang | |
| 16:15 | Coffee Break | |
| ST: CBMEH – Computational based Biomarkers for Mental and Emotional Health | ST: Explainable Machine Learning models in Medical Imaging | |
| 16:30 | Agenda available here | Convolutional Autoencoder based Deep Learning Approach for Alzheimer’s Disease Diagnosis using Brain MRI, Ekin Yagis, Alba Garcia Seco de Herrera and Luca Citi |
| 16:45 | A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation, Ahmed Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen Petersen, Polyxeni Gkontra, Karim Lekadir, Gloria Menegaz and Petia Radeva | |
| 17:00 | Improved Deep Learning Explanations for Prostate Lesion Classification through Grad-CAM and Saliency Map Fusion, Mehmet A. Gulum, Christopher M. Trombley and Mehmed Kantardzic | |
Third Day (June, 9th)
| Session 1 | Session 2 | |
| ST: Clinical & Biomedical Text Mining | ST: Social Data and Medical Data Analytics | |
| 9:00 | Clinical Report Classification: Continually Learning from User Feedback, Elias Moons and Marie-Francine Moens | Defining and Monitoring Patient Clusters Based on Therapy Adherence in Sleep Apnea Management, Mourya Karan Reddy Baddam, Matheus Araujo and Jaideep Srivastava |
| 9:15 | EPICURE :Ensemble Pretrained Models for Extracting Cancer Mutations from Literature, Jiarun Cao, Elke Van Veen, Niels Peek, Andrew Renehan and Sophia Ananiadou | BERT Model-Based Approach For Detecting Categories of Tweets in the Field of Eating Disorders (ED, José Alberto Benítez-Andrades, José Manuel Alija-Pérez, Isaías García-Rodríguez, Carmen Benavides, Hector Alaiz Moreton, Rafael Pastor-Vargas and María Teresa García-Ordás |
| 9:30 | BioSGAN: Protein-Phenotype Co-mention Classification Using Semi-Supervised Generative Adversarial Networks, Francis Anokye and Indika Kahanda | Representation and Knowledge Transfer for Health-related Rumour Detection, Rosa Sicilia, Luisa Francini and Paolo Soda |
| 9:45 | A GPT-2 Language Model for Biomedical Texts in Portuguese, Elisa Terumi Rubel Schneider, João Vitor Andrioli de Souza, Yohan Bonescki Gumiel, Claudia Moro and Emerson Cabrera Paraiso | Juxtaposing 5G Coronavirus Tweets With General Coronavirus Tweets During the Early Months of Coronavirus Outbreak, Rafi Trad and Myra Spiliopoulou |
| 10:00 | Patient Trajectory Modelling in Longitudinal Data: A Review on Existing Solutions, João Figueira Silva and Sérgio Matos | A Recommendation System for Electronic HealthRecords in the Context of the HOPE Project, Antonio Robles-Gómez, Ruben Vasallo Gonzalez, Rafael Pastor Vargas, Nicolás A. Passadore, Mercedes Eugenia Paoletti, Carlos Luis Sánchez Bocanegra, Llanos Tobarra, Karla A. Chacón-Vargas, Francesc Saigí Rubió and Juan Mario Haut Hurtado |
| 10:15 | Coffee Break | |
| Biomedical Signal and Image Processing Chair: Agma Traina, Co-chair: Rui Lebre |
Healthcare Data and Knowledge Management Chair: Silvia Olabarriaga, Co-chair: Tiago Almeida |
|
| 10:30 | Autism Spectrum Disorder diagnosis based on trajectories of eye tracking data, Thiago Victor Cardoso, Gabriel C. Michelassi, Felipe O. Franco, Fernando M. Sumiya, Joana Portolese, Helena Brentani, Ariane Machado Lima and Fátima L. S. Nunes Marques | APEHR Automated Prognosis in Electronic Health Records using multi-head self-attention, Alexander Ylnner Choquenaira Florez, Lucas Scabora, Danilo M. Eler and Jose Fernando Rodrigues Jr. |
| 10:45 | Sequential Pattern Mining of Large Combinable Items with Values for a Set-of-items Recommendation, Hieu Hanh Le, Yutaka Horino, Tomoyoshi Yamazaki, Kenji Araki and Haruo Yokota | beHEALTHIER: A Microservices Platform for Analyzing and Exploiting Healthcare Data, Argyro Mavrogiorgou, Spyridon Kleftakis, Konstantinos Mavrogiorgos, Nikolaos Zafeiropoulos, Andreas Menychtas, Athanasios Kiourtis, Ilias Maglogiannis and Dimosthenis Kyriazis |
| 11:00 | Identification of Signs of Depression Relapse using Audio-Visual Cues: A Preliminary Study, Muhammad Muzammel, Alice Othmani, Himadri Mukherjee and Hanan Salam | Classification and Localization Consistency Regularized Student-Teacher Network for Semi-supervised Cervical Cell Detection, Zhang Menglu, Li Xuechen and Shen Linlin |
| 11:15 | Predictive Analytics Based on Open Source Technologies for Acute Respiratory Distress Syndrome, Vaggelis Chaniotakis, Lefteris Koumakis, Haridimos Kondylakis, George Notas, Dimitris Plexousakis and Manolis Tsiknakis | Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data, Vishnu Unnikrishnan, Yash Shah, Miro Schleicher, Carlos Fernandez-Viadero, Mirela Strandzheva, Doroteya Velikova, Plamen Dimitrov, Rüdiger Pryss, Johannes Schobel, Winfried Schlee and Myra Spiliopoulou |
| 11:30 | Coffee Break | |
| Data Analysis and Visualization Chair: João F Silva, Co-chair: Rui Lebre |
Intelligent Medical Devices and Smart Technologies Chair: Rui Antunes, Co-chair: Tiago Almeida |
|
| 11:45 | Can computer vision be used for anthropometry? A feasibility study of a smart mobile application, Renan Fialho, Rayele Moreira, Thalyta Santos, Samila Vasconcelos, Silmar Teixeira, Francisco Silva, Joel Rodrigues and Ariel Teles | Empowering Home Health Monitoring of Covid-19 Patients with Smartwatch Position and Fitness Tracking, Silvia Panicacci, Gianluca Giuffrida, Massimiliano Donati, Alberto Lubrano, Alessio Ruiu and Luca Fanucci |
| 12:00 | I-CovidVis – A Visual Analytics Tool for Interoperable Healthcare Databases using Graphs, Claudio Linhares, Daniel Lima, Christian Bones, Marina Rebelo, Marco Gutierrez, Caetano Traina Jr. and Agma Traina | Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App, Noor Jamaludeen, Vishnu Unnikrishnan, Ruediger Pryss, Johannes Schobel, Winfried Schlee and Myra Spiliopoulou |
| 12:15 | Hyperspectral Signal Analysis for Thyroid Neoplams Typification On Infrared Spectrum, Matheus de Freitas Oliveira Baffa, Luciano Bachmann, Thiago Martini Pereira and Joaquim Cezar Felipe | A Nonverbal Recognition Method to Assist Speech, Fernando Meloni, Bianca Sicchieri, Patricia Mandrá, Renato Bulcão-Neto and Alessandra Macedo |
| 12:30 | Closing Ceremony CBMS awards TCCLS PhD thesis awards |
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| 12:45 | ||
| 13:00 | ||