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ORCID34th CBMS 2021: Aveiro, Portugal
- João Rafael Almeida, Alejandro Rodríguez González, Linlin Shen, Bridget Kane, Agma J. M. Traina, Paolo Soda, José Luís Oliveira:
34th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2021, Aveiro, Portugal, June 7-9, 2021. IEEE 2021, ISBN 978-1-6654-4121-6
Biomedical Signal and Image Processing
- Joaquim de Moura
, Jorge Novo, Marcos Ortega, Noelia Barreira, Manuel G. Penedo:
Automated Segmentation of the Central Serous Chorioretinopathy fluid regions using Optical Coherence Tomography Scans. 1-6 - Macarena Díaz, Plácido L. Vidal, Jorge Novo, Marcos Ortega, Manuel G. Penedo:
Automatic Segmentation and Estimation of Ischemic Regions in Oct Angiography Scans. 7-12 - Plácido L. Vidal, Joaquim de Moura, Macarena Díaz, Jorge Novo, Marcos Ortega:
Comparative and Behavioural Analysis of a Diffuse Paradigm for the Evaluation of Diabetic Macular Edema in OCT images. 13-18 - Ana Sofia Carmo, Mariana Abreu, Hugo Plácido da Silva, Ana Luísa Nobre Fred:
Automatic Detection of Tonic-Clonic and Myoclonic Epileptic Seizures Using Prefrontal Electroencephalography (EEG). 19-24 - Mohammed Khaleel, Wallapak Tavanapong, Johnny Wong, Jung-Hwan Oh, Piet C. de Groen:
Hierarchical Visual Concept Interpretation for Medical Image Classification. 25-30 - Sourodip Ghosh, KC Santosh:
Tumor Segmentation in Brain MRI: U-Nets versus Feature Pyramid Network. 31-36 - Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen:
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. 37-43 - Fabio R. Llorella Costa, José Maria Azorín, Gustavo Patow:
Black Hole algorithm with convolutional neural networks for the creation of a Brain-Switch using visual perception. 44-49 - Thiago V. Cardoso, Gabriel C. Michelassi, Felipe O. Franco, Fernando Mitsuo Sumiya, Joana Portolese, Helena Paula Brentani, Ariane Machado-Lima, Fátima L. S. Nunes:
Autism Spectrum Disorder diagnosis based on trajectories of eye tracking data. 50-55 - Hieu Hanh Le, Yutaka Horino, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota:
Sequential Pattern Mining of Large Combinable Items with Values for a Set-of-items Recommendation. 56-61 - Muhammad Muzammel, Alice Othmani, Himadri Mukherjee, Hanan Salam:
Identification of Signs of Depression Relapse using Audio-visual Cues: A Preliminary Study. 62-67 - Vaggelis Chaniotakis, Lefteris Koumakis, Haridimos Kondylakis, George Notas, Dimitris Plexousakis, Manolis Tsiknakis:
Predictive Analytics Based on Open Source Technologies for Acute Respiratory Distress Syndrome. 68-73
Biomedical Signal, Image Processing and Data Mining in Healthcare
- Selene Tomassini, Nicola Falcionelli, Paolo Sernani, Henning Müller, Aldo Franco Dragoni:
An End-to-End 3D ConvLSTM-based Framework for Early Diagnosis of Alzheimer's Disease from Full-Resolution Whole-Brain sMRI Scans. 74-78 - KC Santosh, Sourodip Ghosh, Moinak Bose:
Ret-GAN: Retinal Image Enhancement using Generative Adversarial Networks. 79-84 - Mingnan Wei, Rui Yang, Mengjie Huang:
Motor Imagery EEG Signal Classification based on Deep Transfer Learning. 85-90 - Roy Meléndez, César Armando Beltrán Castañón, Rosario Medina Rodríguez:
Sperm Cell Segmentation in Digital Micrographs based on Convolutional Neural Networks using U-Net Architecture. 91-96
Data Analysis and Knowledge Discovery
- Matheus Araújo, Tara Pereira, Jaideep Srivastava, Conrad Iber:
Facilitating CPAP Adherence with Personalized Recommendations Using Artificial Neural Networks. 97-100 - Caroline Barcelos Gonçalves, Jefferson R. Souza, Henrique C. Fernandes:
Classification of static infrared images using pre-trained CNN for breast cancer detection. 101-106 - Radvile Mauricaite, Ella Mi, Jiarong Chen, Andrew Ho, Lillie Pakzad-Shahabi, Matt Williams:
A fully automated deep learning pipeline to assess muscle mass in brain tumor patients. 107-112 - Louise Bloch, Christoph M. Friedrich:
Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Early Alzheimer's Disease Detection with Machine Learning. 113-118
Data Analysis and Visualization
- Renan Fialho, Rayele Moreira, Thalyta C. P. Santos, Samila Sousa Vasconcelos, Silmar Teixeira, Francisco Silva, Joel J. P. C. Rodrigues, Ariel Soares Teles:
Can computer vision be used for anthropometry? A feasibility study of a smart mobile application. 119-124 - Claudio D. G. Linhares, Daniel Mario de Lima, Christian C. Bones, Marina F. S. de Sá Rebelo, Marco A. Gutierrez, Caetano Traina, Agma J. M. Traina:
I-CovidVis - A Visual Analytics Tool for Interoperable Healthcare Databases using Graphs. 125-130 - Matheus de Freitas Oliveira Baffa, Luciano Bachmann, Thiago Martini Pereira, Joaquim Cezar Felipe:
Hyperspectral Signal Analysis for Thyroid Neoplasm Typification On Infrared Spectrum. 131-136 - Aneta Lisowska, Szymon Wilk, Mor Peleg:
Is it a good time to survey you? Cognitive load classification from blood volume pulse. 137-141 - Mirian C. Revers, Jessica S. Oliveira, Felipe O. Franco, Joana Portolese, Thiago V. Cardoso, Andréia F. Silva, Ariane Machado-Lima, Fátima L. S. Nunes, Helena Paula Brentani:
Classification of Autism Spectrum Disorder Severity Using Eye Tracking Data Based on Visual Attention Model. 142-147 - Raphael Brüngel, Christoph M. Friedrich:
DETR and YOLOv5: Exploring Performance and Self-Training for Diabetic Foot Ulcer Detection. 148-153 - Ran Cui, Chirath Hettiarachchi, Christopher J. Nolan, Elena Daskalaki, Hanna Suominen:
Personalised Short-Term Glucose Prediction via Recurrent Self-Attention Network. 154-159
Data Mining in Healthcare
- Lorenzo Famiglini, Giorgio Bini, Anna Carobene, Andrea Campagner, Federico Cabitza:
Prediction of ICU admission for COVID-19 patients: a Machine Learning approach based on Complete Blood Count data. 160-165 - Barbara Villarini, Hykoush Asaturyan, Sila Kurugol, Onur Afacan, Jimmy D. Bell, E. Louise Thomas:
3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities. 166-171 - Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel P. Arrais:
Optimizing Recurrent Neural Network Architectures for De Novo Drug Design. 172-177 - Rodrigo Escobar Díaz Guerrero, José Luís Oliveira:
Improvements in lymphocytes detection using deep learning with a preprocessing stage. 178-182 - Mina A. Nessiem, Mostafa M. Mohamed, Harry Coppock, Alexander Gaskell, Björn W. Schuller:
Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks. 183-188 - Panagiota Gatoula, George Dimas, Dimitris K. Iakovidis, Anastasios Koulaouzidis:
Enhanced CNN-Based Gaze Estimation on Wireless Capsule Endoscopy Images. 189-195 - Sourodip Ghosh, KC Santosh:
Improved Gastrointestinal Screening: Deep Features using Stacked Generalization. 196-201 - Sandeep Angara, Peng Guo, Zhiyun Xue, Sameer K. Antani:
Semi-Supervised Learning for Cervical Precancer Detection. 202-206
Decision Support and Recommendation Systems
- Panagiotis Symeonidis, Christos Andras, Markus Zanker:
Treatment Recommendations for COVID-19 Patients along with Robust Explanations. 207-212 - Panagiotis Symeonidis, Stergios Chairistanidis, Markus Zanker:
Recommending What Drug to Prescribe Next for Accurate and Explainable Medical Decisions. 213-218 - Eduardo P. García del Valle, Lucía Prieto Santamaría, Gerardo Lagunes García, Massimiliano Zanin, Ernestina Menasalvas Ruiz, Alejandro Rodríguez González:
A Meta-Path-Based Prediction Method for Disease Comorbidities. 219-224 - Snigdha Kodela, Jahnavi Pinnamraju, Judy W. Gichoya, Saptarshi Purkayastha:
Predicting Opioid Prescriptions based on Patient Demographics in MIMIC-IV. 225-230 - Jorge Alves Silva, Teresa Mendonça, Paula Rocha:
An intelligent drug delivery system for neuromuscular blockade in healthcare. 231-234 - Jonathan Rebane, Isak Samsten, Panteleimon Pantelidis, Panagiotis Papapetrou:
Assessing the Clinical Validity of Attention-based and SHAP Temporal Explanations for Adverse Drug Event Predictions. 235-240 - Seyed Erfan Sajjadi, Allan Tucker:
Exploiting Clinical Staging Data to Constrain Pseudo-Time Modelling of Disease Progression. 241-246 - Adriel S. Araújo, Milena H. S. Issa, Petrucio R. T. Medeiros, Ángel Sánchez, Débora C. Muchaluat-Saade, Aura Conci:
Monitoring Breast Cancer Neoadjuvant Treatment using Thermographic Time Series. 247-252
Healthcare Data and Knowledge Management
- José Maria Clementino, Bruno S. Faiçal, Christian C. Bones, Caetano Traina, Marco A. Gutierrez, Agma J. M. Traina:
Multilevel Clustering Explainer: An Explainable Approach to Electronic Health Records. 253-258 - Zhenchen Wang, Puja Myles, Anu Jain, James L. Keidel, Roberto Liddi, Lucy Mackillop, Carmelo Velardo, Allan Tucker:
Evaluating a Longitudinal Synthetic Data Generator using Real World Data. 259-264 - Urja Pawar, Christopher T. Culbert, Ruairi O'Reilly:
Evaluating Hierarchical Medical Workflows using Feature Importance. 265-270 - José Daniel P. Ribeiro Filho, Ariel Soares Teles, Francisco José da Silva e Silva, Luciano R. Coutinho:
Towards Clustering Human Behavioral Patterns based on Digital Phenotyping. 271-276 - Alexander Ylnner Choquenaira Florez, Lucas C. Scabora, Danilo Medeiros Eler, José F. Rodrigues Jr.:
APEHR: Automated Prognosis in Electronic Health Records using multi-head self-attention. 277-282 - Argyro Mavrogiorgou, Spyridon Kleftakis, Konstantinos Mavrogiorgos, Nikolaos Zafeiropoulos, Andreas Menychtas, Athanasios Kiourtis, Ilias Maglogiannis, Dimosthenis Kyriazis:
beHEALTHIER: A Microservices Platform for Analyzing and Exploiting Healthcare Data. 283-288 - Menglu Zhang, Xuechen Li, Linlin Shen:
Classification and Localization Consistency Regularized Student-Teacher Network for Semi-supervised Cervical Cell Detection. 289-294 - Vishnu Unnikrishnan, Yash Shah, Miro Schleicher, Carlos Fernández-Viadero, Mirela Strandzheva, Doroteya Velikova, Plamen Dimitrov, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou:
Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data. 295-300
Human-Computer Interaction (HCI) in Healthcare
- Laura Moss, Martin Shaw, Ian Piper, John Kinsella, Christopher Hawthorne:
CHART-ADAPT: Enabling actionable analytics at the critical care unit bedside. 301-306 - Saijal Shahania, Vishnu Unnikrishnan, Rüdiger Pryss, Robin Kraft, Johannes Schobel, Ronny Hannemann, Winny Schlee, Myra Spiliopoulou:
User-centric vs whole-stream learning for EMA prediction. 307-312 - Michael Winter, Cynthia Bredemeyer, Manfred Reichert, Heiko Neumann, Thomas Probst, Rüdiger Pryss:
How Healthcare Professionals Comprehend Process Models - An Empirical Eye Tracking Analysis. 313-318 - Renato Santos, Joel P. Arrais, Paula Alexandra Silva:
Analysing Games for Health through Users' Opinion Mining. 319-323
Information Technologies in Healthcare
- Itamir de Morais Barroca Filho, Silvio Costa Sampaio, Anderson Paiva Cruz, Victor Hugo Freire Ramalho, Jefferson Augusto Rodrigues de Azevedo, Átila Caetano da Silveira:
More Agile than ever: the case study of the development of a dashboard for the management of ICU beds during the coronavirus outbreak. 324-329 - Henrique de A. Silva, Elias Adriano, Denise Scatolini, Rosana T. Vaccare Braga:
Supporting IoT-based applications to combat the Aedes aegypti mosquito: a case in Brazil. 330-335 - Aldo Martinazzo, Luiz Eduardo Galvão Martins, Sebastião Vagner Aredes, Tatiana Sousa Cunha:
Risk Management of a Low-cost Insulin Infusion Pump: A Case Study with a Brazilian Company. 336-341 - Felix Beierle, Uttam Dhakal, Caroline Cohrdes, Sophie Eicher, Rüdiger Pryss:
Public Perception of the German COVID-19 Contact-Tracing App Corona-Warn-App. 342-347
Intelligent Medical Devices and Smart Technologies
- Silvia Panicacci, Gianluca Giuffrida, Massimiliano Donati, Alberto Lubrano, Alessio Ruiu, Luca Fanucci:
Empowering Home Health Monitoring of Covid-19 Patients with Smartwatch Position and Fitness Tracking. 348-353 - Noor Jamaludeen, Vishnu Unnikrishnan, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou:
Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App. 354-359 - Fernando Meloni, Bianca Sicchieri, Patricia Mandrá, Renato Bulcão Neto, Alessandra Alaniz Macedo:
A Nonverbal Recognition Method to Assist Speech. 360-365
Semantics and Knowledge Representation
- Mariana Sequeira, João Rafael Almeida, José Luís Oliveira:
A Comparative Analysis of Data Platforms for Rare Diseases. 366-371 - Milene Santos Teixeira, Vinícius Maran, Mauro Dragoni:
Towards Semantic-Awareness for Information Management and Planning in Health Dialogues. 372-377 - Juliana Wolf Pereira, Marcela Xavier Ribeiro:
Semantic Annotation and Classification of Mammography Images using Ontologies. 378-383 - Arnaldo Pereira, Rui Pedro Lopes, José Luís Oliveira:
Easing the Questioning of Semantic Biomedical Data. 384-388
Radiomics and Radiogenomics
- Jonathan S. Ramos, Jamilly G. Maciel, Mirela T. Cazzolato, Caetano Traina, Marcello H. Nogueira-Barbosa, Agma J. M. Traina:
BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging. 389-394 - Valerio Guarrasi, Natascha Claudia D'Amico, Rosa Sicilia, Ermanno Cordelli, Paolo Soda:
A Multi-Expert System to Detect COVID-19 Cases in X-ray Images. 395-400 - Teo Manojlovic, Matija Milanic, Ivan Stajduhar:
Deep embedded clustering algorithm for clustering PACS repositories. 401-406 - Charles Z. Liu, Rosa Sicilia, Matteo Tortora, Ermanno Cordelli, Lorenzo Nibid, Giovanna Sabarese, Giuseppe Perrone, Michele Fiore, Sara Ramella, Paolo Soda:
Exploring Deep Pathomics in Lung Cancer. 407-412
ST: CBMEH - Computational based Biomarkers for Mental and Emotional Health
- Ana G. Rúa, Noelia Rico-Pachón, Ana Alonso, Elena Díaz, S. Irene Díaz-Rodríguez:
On the identification of chronodisruption-based biomarkers to estimate pregnancy attempt time. 413-419 - Fernando Moncada Martins, Víctor M. González, Víctor Álvarez, Beatriz García-López, José R. Villar:
A Preliminary Study on Automatic Detection and Filtering of Artifacts from EEG Signals. 420-425 - Nagore Sagastibeltza, Asier Salazar-Ramirez, Raquel Martínez, Maitane Martinez-Eguiluz, Javier Muguerza, Nora Cívicos Sánchez, Montserrat Cuadrado, María Luisa Jauregui Abrisqueta:
Preliminary analysis of features based on GSR/RR signals for spinal cord injury patients. 426-431 - Matthias Boeker, Michael A. Riegler, Hugo Lewi Hammer, Pål Halvorsen, Ole Bernt Fasmer, Petter Jakobsen:
Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters. 432-437 - Natalia Mordvanyuk, Jaume Gauchola, Beatriz López:
Understanding affective behaviour from physiological signals: Feature learning versus pattern mining. 438-443 - Lara Orlandic, Adriana Arza Valdés, David Atienza:
Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental Health. 444-449 - Carmen Vidaurre, Vadim V. Nikulin, María Herrojo Ruiz:
Optimized alpha band patterns correlated with trait anxiety. 450-454
ST: Clinical & Biomedical Text Mining
- Elias Moons, Marie-Francine Moens:
Clinical Report Classification: Continually Learning from User Feedback. 455-460 - Jiarun Cao, Elke M. van Veen, Niels Peek, Andrew G. Renehan, Sophia Ananiadou:
EPICURE: Ensemble Pretrained Models for Extracting Cancer Mutations from Literature. 461-467 - Francis Anokye, Indika Kahanda:
BioSGAN: Protein-Phenotype Co-mention Classification Using Semi-Supervised Generative Adversarial Networks. 468-473 - Elisa Terumi Rubel Schneider, João Vitor Andrioli de Souza, Yohan Bonescki Gumiel, Claudia M. C. Moro, Emerson Cabrera Paraiso:
A GPT-2 Language Model for Biomedical Texts in Portuguese. 474-479 - João Figueira Silva, Sérgio Matos:
Patient Trajectory Modelling in Longitudinal Data: A Review on Existing Solutions. 480-485
ST: Explainable Machine Learning Models in Medical Imaging
- Ekin Yagis, Alba Garcia Seco de Herrera, Luca Citi:
Convolutional Autoencoder based Deep Learning Approach for Alzheimer's Disease Diagnosis using Brain MRI. 486-491 - Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Polyxeni Gkontra, Karim Lekadir, Gloria Menegaz, Petia Radeva:
A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation. 492-497 - Mehmet Akif Gulum, Christopher M. Trombley, Mehmed M. Kantardzic:
Improved Deep Learning Explanations for Prostate Lesion Classification through Grad-CAM and Saliency Map Fusion. 498-502 - Biraja Ghoshal, Allan Tucker:
On Cost-Sensitive Calibrated Uncertainty in Deep Learning: An application on COVID-19 detection. 503-509 - Chengjia Wang, Guang Yang, Giorgos Papanastasiou:
FIRE: Unsupervised bi-directional inter- and intra-modality registration using deep networks. 510-514 - Edouard Villain, Giulia Maria Mattia, Federico Nemmi, Patrice Péran, Xavier Franceries, Marie-Véronique Le Lann:
Visual interpretation of CNN decision-making process using Simulated Brain MRI. 515-520 - Qinghao Ye, Jun Xia, Guang Yang:
Explainable AI for COVID-19 CT Classifiers: An Initial Comparison Study. 521-526
ST: MedNetImaging2021 - Medical Imaging Systems and Networks
- Zhiyun Xue, Peng Guo, Kanan T. Desai, Anabik Pal, Kayode O. Ajenifuja, Clement Akinfolarin Adepiti, L. Rodney Long, Mark Schiffman, Sameer K. Antani:
A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices. 527-532 - Yubraj Gupta, Carlos Costa, Eduardo Pinho, Luís A. Bastião Silva, Shibarjun Mandal, Ute Neugebauer:
Dicomization of LSM fluorescence composite microscopic image with its bioimaging information. 533-538 - Henrik L. Gjestang, Steven Alexander Hicks, Vajira Thambawita, Pål Halvorsen, Michael A. Riegler:
A self-learning teacher-student framework for gastrointestinal image classification. 539-544 - João Rafael Almeida, Eriksson J. Melicio Monteiro, José Luís Oliveira:
An Architecture to Define Cohorts over Medical Imaging Datasets. 545-549
ST: Security of e-Health Systems and Connected Medical Devices
- Chang Liu, Shu Zhou, Irena Vodenska, Lou Chitkushev, Guanglan Zhang, Shahin Gheitanchi, Reza Rawassizadeh:
Blockchain Technology in Healthcare: A Scientific and Technological Driving Force. 550-555 - Rodrigo Dutra Garcia, Gabriel Augusto Zutião, Gowri Sankar Ramachandran, Jo Ueyama:
Towards a decentralized e-prescription system using smart contracts. 556-561 - Thibaud Ecarot, Benoît Fraikin, Luc Lavoie, Mark M. McGilchrist, Jean-François Ethier:
Learning Health Systems: An Anonymous Network Routing Protocol. 562-567 - Lúcio Henrik A. Reis, Marcela T. de Oliveira, Diogo M. F. Mattos, Sílvia D. Olabarriaga:
Private Data Sharing in a Secure Cloud-based Application for Acute Stroke Care. 568-573 - Saurav Maji, Utsav Banerjee, Samuel H. Fuller, Rabia Tugce Yazicigil, Anantha P. Chandrakasan:
Securing Embedded Medical Devices using Dual-Factor Authentication. 574-579
ST: Social Data and Medical Data Analytics
- Mourya Karan Reddy Baddam, Matheus Araújo, Jaideep Srivastava:
Defining and Monitoring Patient Clusters Based on Therapy Adherence in Sleep Apnea Management. 580-585 - José Alberto Benítez-Andrades, José-Manuel Alija-Pérez, Isaías García-Rodríguez, Carmen Benavides, Héctor Alaiz-Moretón, Rafael Pastor Vargas, María Teresa García-Ordás:
BERT Model-Based Approach For Detecting Categories of Tweets in the Field of Eating Disorders (ED). 586-590 - Rosa Sicilia, Luisa Francini, Paolo Soda:
Representation and Knowledge Transfer for Health-related Rumour Detection. 591-596 - Rafi Trad, Myra Spiliopoulou:
Juxtaposing 5G Coronavirus Tweets with General Coronavirus Tweets During the Early Months of Coronavirus Outbreak. 597-602 - Ruben Vasallo González, Antonio Robles-Gómez, Rafael Pastor Vargas, Juan Mario Haut, Nicolás A. Passadore, Mercedes Eugenia Paoletti, Carlos Luis Sánchez-Bocanegra, Llanos Tobarra, Karla A. Chacón-Vargas, Roberto Hernández Berlinches, Francesc Saigí Rubió:
A Recommendation System for Electronic Health Records in the Context of the HOPE Project. 603-608
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