Table of Contents

• Automated Segmentation of the Central Serous Chorioretinopathy fluid regions using Optical Coherence Tomography ScansJoaquim de Moura, Jorge Novo, Marcos Ortega, Noelia Barreira, Manuel G. Penedo. 1-6 [doi]
• Automatic Segmentation and Estimation of Ischemic Regions in Oct Angiography ScansMacarena Díaz, Plácido L. Vidal, Jorge Novo, Marcos Ortega, Manuel G. Penedo. 7-12 [doi]
• Comparative and Behavioural Analysis of a Diffuse Paradigm for the Evaluation of Diabetic Macular Edema in OCT imagesPlácido L. Vidal, Joaquim de Moura, Macarena Díaz, Jorge Novo, Marcos Ortega. 13-18 [doi]
• Automatic Detection of Tonic-Clonic and Myoclonic Epileptic Seizures Using Prefrontal Electroencephalography (EEG)Ana Sofia Carmo, Mariana Abreu, Hugo Plácido da Silva, Ana Luísa Nobre Fred. 19-24 [doi]
• Hierarchical Visual Concept Interpretation for Medical Image ClassificationMohammed Khaleel, Wallapak Tavanapong, Johnny Wong, Jung-Hwan Oh, Piet C. de Groen. 25-30 [doi]
• Tumor Segmentation in Brain MRI: U-Nets versus Feature Pyramid NetworkSourodip Ghosh, K. C. Santosh. 31-36 [doi]
• NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and ColonoscopyDebesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen. 37-43 [doi]
• Black Hole algorithm with convolutional neural networks for the creation of a Brain-Switch using visual perceptionFabio R. Llorella Costa, José Maria Azorín, Gustavo Patow. 44-49 [doi]
• Autism Spectrum Disorder diagnosis based on trajectories of eye tracking dataThiago V. Cardoso, Gabriel C. Michelassi, Felipe O. Franco, Fernando M. Sumiya, Joana Portolese, Helena Paula Brentani, Ariane Machado-Lima, Fátima L. S. Nunes. 50-55 [doi]
• Sequential Pattern Mining of Large Combinable Items with Values for a Set-of-items RecommendationHieu Hanh Le, Yutaka Horino, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota. 56-61 [doi]
• Identification of Signs of Depression Relapse using Audio-visual Cues: A Preliminary StudyMuhammad Muzammel, Alice Othmani, Himadri Mukherjee, Hanan Salam. 62-67 [doi]
• Predictive Analytics Based on Open Source Technologies for Acute Respiratory Distress SyndromeVaggelis Chaniotakis, Lefteris Koumakis, Haridimos Kondylakis, George Notas, Dimitris Plexousakis, Manolis Tsiknakis. 68-73 [doi]
• An End-to-End 3D ConvLSTM-based Framework for Early Diagnosis of Alzheimer's Disease from Full-Resolution Whole-Brain sMRI ScansSelene Tomassini, Nicola Falcionelli, Paolo Sernani, Henning Müller, Aldo Franco Dragoni. 74-78 [doi]
• Ret-GAN: Retinal Image Enhancement using Generative Adversarial NetworksK. C. Santosh, Sourodip Ghosh, Moinak Bose. 79-84 [doi]
• Motor Imagery EEG Signal Classification based on Deep Transfer LearningMingnan Wei, Rui Yang, Mengjie Huang. 85-90 [doi]
• Sperm Cell Segmentation in Digital Micrographs based on Convolutional Neural Networks using U-Net ArchitectureRoy Meléndez, César Armando Beltrán Castañón, Rosario Medina Rodríguez. 91-96 [doi]
• Facilitating CPAP Adherence with Personalized Recommendations Using Artificial Neural NetworksMatheus Araújo, Tara Pereira, Jaideep Srivastava, Conrad Iber. 97-100 [doi]
• Classification of static infrared images using pre-trained CNN for breast cancer detectionCaroline B. Gonçalves, Jefferson R. Souza, Henrique Fernandes. 101-106 [doi]
• A fully automated deep learning pipeline to assess muscle mass in brain tumor patientsRadvile Mauricaite, Ella Mi, Jiarong Chen, Andrew Ho, Lillie Pakzad-Shahabi, Matt Williams. 107-112 [doi]
• Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Early Alzheimer's Disease Detection with Machine LearningLouise Bloch, Christoph M. Friedrich. 113-118 [doi]
• Can computer vision be used for anthropometry? A feasibility study of a smart mobile applicationRenan Fialho, Rayele Moreira, Thalyta C. P. Santos, Samila S. Vasconcelos, Silmar Teixeira, Francisco Silva, Joel J. P. C. Rodrigues, Ariel S. Teles. 119-124 [doi]
• I-CovidVis - A Visual Analytics Tool for Interoperable Healthcare Databases using GraphsClaudio D. G. Linhares, Daniel M. Lima, Christian C. Bones, Marina F. S. de Sá Rebelo, Marco Antonio Gutierrez, Caetano Traina, Agma J. M. Traina. 125-130 [doi]
• Hyperspectral Signal Analysis for Thyroid Neoplasm Typification On Infrared SpectrumMatheus de Freitas Oliveira Baffa, Luciano Bachmann, Thiago Martini Pereira, Joaquim Cezar Felipe. 131-136 [doi]
• Is it a good time to survey you? Cognitive load classification from blood volume pulseAneta Lisowska, Szymon Wilk, Mor Peleg. 137-141 [doi]
• Classification of Autism Spectrum Disorder Severity Using Eye Tracking Data Based on Visual Attention ModelMirian C. Revers, Jessica S. Oliveira, Felipe O. Franco, Joana Portolese, Thiago V. Cardoso, Andréia F. Silva, Ariane Machado-Lima, Fátima L. S. Nunes, Helena Brentani. 142-147 [doi]
• DETR and YOLOv5: Exploring Performance and Self-Training for Diabetic Foot Ulcer DetectionRaphael Brüngel, Christoph M. Friedrich. 148-153 [doi]
• Personalised Short-Term Glucose Prediction via Recurrent Self-Attention NetworkRan Cui, Chirath Hettiarachchi, Christopher J. Nolan, Elena Daskalaki, Hanna Suominen. 154-159 [doi]
• Prediction of ICU admission for COVID-19 patients: a Machine Learning approach based on Complete Blood Count dataLorenzo Famiglini, Giorgio Bini, Anna Carobene, Andrea Campagner, Federico Cabitza. 160-165 [doi]
• 3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging ModalitiesBarbara Villarini, Hykoush Asaturyan, Sila Kurugol, Onur Afacan, Jimmy D. Bell, E. Louise Thomas. 166-171 [doi]
• Optimizing Recurrent Neural Network Architectures for De Novo Drug DesignBeatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel P. Arrais. 172-177 [doi]
• Improvements in lymphocytes detection using deep learning with a preprocessing stageRodrigo Escobar Díaz Guerrero, José Luís Oliveira. 178-182 [doi]
• Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural NetworksMina A. Nessiem, Mostafa M. Mohamed, Harry Coppock, Alexander Gaskell, Björn W. Schuller. 183-188 [doi]
• Enhanced CNN-Based Gaze Estimation on Wireless Capsule Endoscopy ImagesPanagiota Gatoula, George Dimas, Dimitris K. Iakovidis, Anastasios Koulaouzidis. 189-195 [doi]
• Improved Gastrointestinal Screening: Deep Features using Stacked GeneralizationSourodip Ghosh, K. C. Santosh. 196-201 [doi]
• Semi-Supervised Learning for Cervical Precancer DetectionSandeep Angara, Peng Guo, Zhiyun Xue, Sameer K. Antani. 202-206 [doi]
• Treatment Recommendations for COVID-19 Patients along with Robust ExplanationsPanagiotis Symeonidis, Christos Andras, Markus Zanker. 207-212 [doi]
• Recommending What Drug to Prescribe Next for Accurate and Explainable Medical DecisionsPanagiotis Symeonidis, Stergios Chairistanidis, Markus Zanker. 213-218 [doi]
• A Meta-Path-Based Prediction Method for Disease ComorbiditiesEduardo P. García del Valle, Lucía Prieto Santamaría, Gerardo Lagunes García, Massimiliano Zanin, Ernestina Menasalvas Ruiz, Alejandro Rodríguez González. 219-224 [doi]
• Predicting Opioid Prescriptions based on Patient Demographics in MIMIC-IVSnigdha Kodela, Jahnavi Pinnamraju, Judy W. Gichoya, Saptarshi Purkayastha. 225-230 [doi]
• An intelligent drug delivery system for neuromuscular blockade in healthcareJorge Alves Silva, Teresa Mendonça, Paula Rocha 0001. 231-234 [doi]
• Assessing the Clinical Validity of Attention-based and SHAP Temporal Explanations for Adverse Drug Event PredictionsJonathan Rebane, Isak Samsten, Panteleimon Pantelidis, Panagiotis Papapetrou. 235-240 [doi]
• Exploiting Clinical Staging Data to Constrain Pseudo-Time Modelling of Disease ProgressionSeyed Erfan Sajjadi, Allan Tucker. 241-246 [doi]
• Monitoring Breast Cancer Neoadjuvant Treatment using Thermographic Time SeriesAdriel S. Araujo, Milena H. S. Issa, Petrucio R. T. Medeiros, Ángel Sánchez, Débora C. Muchaluat-Saade, Aura Conci. 247-252 [doi]
• Multilevel Clustering Explainer: An Explainable Approach to Electronic Health RecordsJosé Maria Clementino, Bruno S. Faiçal, Christian C. Bones, Caetano Traina, Marco Antonio Gutierrez, Agma J. M. Traina. 253-258 [doi]
• Evaluating a Longitudinal Synthetic Data Generator using Real World DataZhenchen Wang, Puja Myles, Anu Jain, James L. Keidel, Roberto Liddi, Lucy Mackillop, Carmelo Velardo, Allan Tucker. 259-264 [doi]
• Evaluating Hierarchical Medical Workflows using Feature ImportanceUrja Pawar, Christopher T. Culbert, Ruairi O'Reilly. 265-270 [doi]
• Towards Clustering Human Behavioral Patterns based on Digital PhenotypingJosé Daniel P. Ribeiro Filho, Ariel Soares Teles, Francisco J. S. Silva, Luciano R. Coutinho. 271-276 [doi]
• APEHR: Automated Prognosis in Electronic Health Records using multi-head self-attentionAlexander Ylnner Choquenaira Florez, Lucas C. Scabora, Danilo M. Eler, Jose F. Rodrigues. 277-282 [doi]
• beHEALTHIER: A Microservices Platform for Analyzing and Exploiting Healthcare DataArgyro Mavrogiorgou, Spyridon Kleftakis, Konstantinos Mavrogiorgos, Nikolaos Zafeiropoulos, Andreas Menychtas, Athanasios Kiourtis, Ilias Maglogiannis, Dimosthenis Kyriazis. 283-288 [doi]
• Classification and Localization Consistency Regularized Student-Teacher Network for Semi-supervised Cervical Cell DetectionMenglu Zhang, Xuechen Li, LinLin Shen. 289-294 [doi]
• Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA dataVishnu Unnikrishnan, Yash Shah, Miro Schleicher, Carlos Fernández Viadero, Mirela Strandzheva, Doroteya Velikova, Plamen Dimitrov, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou. 295-300 [doi]
• CHART-ADAPT: Enabling actionable analytics at the critical care unit bedsideLaura Moss, Martin Shaw, Ian Piper, John Kinsella, Christopher Hawthorne. 301-306 [doi]
• User-centric vs whole-stream learning for EMA predictionSaijal Shahania, Vishnu Unnikrishnan, Rüdiger Pryss, Robin Kraft, Johannes Schobel, Ronny Hannemann, Winny Schlee, Myra Spiliopoulou. 307-312 [doi]
• How Healthcare Professionals Comprehend Process Models - An Empirical Eye Tracking AnalysisMichael Winter 0002, Cynthia Bredemeyer, Manfred Reichert, Heiko Neumann, Thomas Probst, Rüdiger Pryss. 313-318 [doi]
• Analysing Games for Health through Users' Opinion MiningRenato Santos, Joel P. Arrais, Paula Alexandra Silva. 319-323 [doi]
• More Agile than ever: the case study of the development of a dashboard for the management of ICU beds during the coronavirus outbreakItamir de Morais Barroca Filho, Silvio Costa Sampaio, Anderson Paiva Cruz, Victor Hugo Freire Ramalho, Jefferson Augusto Rodrigues de Azevedo, Átila Caetano da Silveira. 324-329 [doi]
• Supporting IoT-based applications to combat the Aedes aegypti mosquito: a case in BrazilHenrique de A. Silva, Elias Adriano, Denise Scatolini, Rosana T. Vaccare Braga. 330-335 [doi]
• Risk Management of a Low-cost Insulin Infusion Pump: A Case Study with a Brazilian CompanyAldo Martinazzo, Luiz Eduardo Galvão Martins, Sebastião Vagner Aredes, Tatiana Sousa Cunha. 336-341 [doi]
• Public Perception of the German COVID-19 Contact-Tracing App Corona-Warn-AppFelix Beierle, Uttam Dhakal, Caroline Cohrdes, Sophie Eicher, Rüdiger Pryss. 342-347 [doi]
• Empowering Home Health Monitoring of Covid-19 Patients with Smartwatch Position and Fitness TrackingSilvia Panicacci, Gianluca Giuffrida, Massimiliano Donati, Alberto Lubrano, Alessio Ruiu, Luca Fanucci. 348-353 [doi]
• Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth AppNoor Jamaludeen, Vishnu Unnikrishnan, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou. 354-359 [doi]
• A Nonverbal Recognition Method to Assist SpeechFernando Meloni, Bianca Sicchieri, Patricia Mandrá, Renato Bulcão Neto, Alessandra Alaniz Macedo. 360-365 [doi]
• A Comparative Analysis of Data Platforms for Rare DiseasesMariana Sequeira, João Rafael Almeida, José Luís Oliveira. 366-371 [doi]
• Towards Semantic-Awareness for Information Management and Planning in Health DialoguesMilene Santos Teixeira, Vinícius Maran, Mauro Dragoni. 372-377 [doi]
• Semantic Annotation and Classification of Mammography Images using OntologiesJuliana Wolf Pereira, Marcela Xavier Ribeiro. 378-383 [doi]
• Easing the Questioning of Semantic Biomedical DataArnaldo Pereira, Rui Pedro Lopes, José Luís Oliveira. 384-388 [doi]
• BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imagingJonathan S. Ramos, Jamilly G. Maciel, Mirela T. Cazzolato, Caetano Traina, Marcello H. Nogueira-Barbosa, Agma J. M. Traina. 389-394 [doi]
• A Multi-Expert System to Detect COVID-19 Cases in X-ray ImagesValerio Guarrasi, Natascha Claudia D'Amico, Rosa Sicilia, Ermanno Cordelli, Paolo Soda. 395-400 [doi]
• Deep embedded clustering algorithm for clustering PACS repositoriesTeo Manojlovic, Matija Milanic, Ivan Stajduhar. 401-406 [doi]
• Exploring Deep Pathomics in Lung CancerCharles Z. Liu, Rosa Sicilia, Matteo Tortora, Ermanno Cordelli, Lorenzo Nibid, Giovanna Sabarese, Giuseppe Perrone, Michele Fiore, Sara Ramella, Paolo Soda. 407-412 [doi]
• On the identification of chronodisruption-based biomarkers to estimate pregnancy attempt timeAna G. Rúa, Noelia Rico-Pachón, Ana Alonso, Elena Díaz, S. Irene Díaz-Rodríguez. 413-419 [doi]
• A Preliminary Study on Automatic Detection and Filtering of Artifacts from EEG SignalsFernando Moncada, Víctor M. González, Víctor Álvarez, Beatriz García, José R. Villar. 420-425 [doi]
• Preliminary analysis of features based on GSR/RR signals for spinal cord injury patientsNagore Sagastibeltza, Asier Salazar-Ramirez, Raquel Martínez, Maitane Martinez-Eguiluz, Javier Muguerza, Nora Cívicos Sánchez, Montserrat Cuadrado, María Luisa Jauregui Abrisqueta. 426-431 [doi]
• Diagnosing Schizophrenia from Activity Records using Hidden Markov Model ParametersMatthias Boeker, Michael A. Riegler, Hugo Lewi Hammer, Pål Halvorsen, Ole Bernt Fasmer, Petter Jakobsen. 432-437 [doi]
• Understanding affective behaviour from physiological signals: Feature learning versus pattern miningNatalia Mordvanyuk, Jaume Gauchola, Beatriz López. 438-443 [doi]
• Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental HealthLara Orlandic, Adriana Arza Valdés, David Atienza. 444-449 [doi]
• Optimized alpha band patterns correlated with trait anxietyCarmen Vidaurre, Vadim V. Nikulin, M. Herrojo Ruiz. 450-454 [doi]
• Clinical Report Classification: Continually Learning from User FeedbackElias Moons, Marie-Francine Moens. 455-460 [doi]
• EPICURE: Ensemble Pretrained Models for Extracting Cancer Mutations from LiteratureJiarun Cao, Elke M. van Veen, Niels Peek, Andrew G. Renehan, Sophia Ananiadou. 461-467 [doi]
• BioSGAN: Protein-Phenotype Co-mention Classification Using Semi-Supervised Generative Adversarial NetworksFrancis Anokye, Indika Kahanda. 468-473 [doi]
• A GPT-2 Language Model for Biomedical Texts in PortugueseElisa Terumi Rubel Schneider, João Vitor Andrioli de Souza, Yohan Bonescki Gumiel, Claudia M. C. Moro, Emerson Cabrera Paraiso. 474-479 [doi]
• Patient Trajectory Modelling in Longitudinal Data: A Review on Existing SolutionsJoão Figueira Silva, Sérgio Matos. 480-485 [doi]
• Convolutional Autoencoder based Deep Learning Approach for Alzheimer's Disease Diagnosis using Brain MRIEkin Yagis, Alba Garcia Seco de Herrera, Luca Citi. 486-491 [doi]
• A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimationAhmed M. A. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Polyxeni Gkontra, Karim Lekadir, Gloria Menegaz, Petia Radeva. 492-497 [doi]
• Improved Deep Learning Explanations for Prostate Lesion Classification through Grad-CAM and Saliency Map FusionMehmet Akif Gulum, Christopher M. Trombley, Mehmed M. Kantardzic. 498-502 [doi]
• On Cost-Sensitive Calibrated Uncertainty in Deep Learning: An application on COVID-19 detectionBiraja Ghoshal, Allan Tucker. 503-509 [doi]
• FIRE: Unsupervised bi-directional inter- and intra-modality registration using deep networksChengjia Wang, Guang Yang 0006, Giorgos Papanastasiou. 510-514 [doi]
• Visual interpretation of CNN decision-making process using Simulated Brain MRIEdouard Villain, Giulia Maria Mattia, Federico Nemmi, Patrice Péran, Xavier Franceries, Marie-Véronique Le Lann. 515-520 [doi]
• Explainable AI for COVID-19 CT Classifiers: An Initial Comparison StudyQinghao Ye, Jun Xia, Guang Yang. 521-526 [doi]
• A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging DevicesZhiyun Xue, Peng Guo, Kanan T. Desai, Anabik Pal, Kayode O. Ajenifuja, Clement Akinfolarin Adepiti, L. Rodney Long, Mark Schiffman, Sameer Antani. 527-532 [doi]
• Dicomization of LSM fluorescence composite microscopic image with its bioimaging informationYubraj Gupta, Carlos Costa 0001, Eduardo Pinho, Luís A. Bastião Silva, Shibarjun Mandal, Ute Neugebauer. 533-538 [doi]
• A self-learning teacher-student framework for gastrointestinal image classificationHenrik L. Gjestang, Steven Alexander Hicks, Vajira Thambawita, Pål Halvorsen, Michael A. Riegler. 539-544 [doi]
• An Architecture to Define Cohorts over Medical Imaging DatasetsJoão Rafael Almeida, Eriksson J. Melicio Monteiro, José Luís Oliveira. 545-549 [doi]
• Blockchain Technology in Healthcare: A Scientific and Technological Driving ForceChang Liu, Shu Zhou, Irena Vodenska, Lou Chitkushev, Guanglan Zhang, Shahin Gheitanchi, Reza Rawassizadeh. 550-555 [doi]
• Towards a decentralized e-prescription system using smart contractsRodrigo Dutra Garcia, Gabriel Augusto Zutião, Gowri Ramachandran, Jo Ueyama. 556-561 [doi]
• Learning Health Systems: An Anonymous Network Routing ProtocolThibaud Ecarot, Benoît Fraikin, Luc Lavoie, Mark M. McGilchrist, Jean-François Ethier. 562-567 [doi]
• Private Data Sharing in a Secure Cloud-based Application for Acute Stroke CareLúcio Henrik A. Reis, Marcela T. de Oliveira, Diogo M. F. Mattos, Sílvia D. Olabarriaga. 568-573 [doi]
• Securing Embedded Medical Devices using Dual-Factor AuthenticationSaurav Maji, Utsav Banerjee, Samuel H. Fuller, Rabia Tugce Yazicigil, Anantha P. Chandrakasan. 574-579 [doi]
• Defining and Monitoring Patient Clusters Based on Therapy Adherence in Sleep Apnea ManagementMourya Karan Reddy Baddam, Matheus Araújo, Jaideep Srivastava. 580-585 [doi]
• 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, Héctor Alaiz-Moretón, Rafael Pastor Vargas, María Teresa García-Ordás. 586-590 [doi]
• Representation and Knowledge Transfer for Health-related Rumour DetectionRosa Sicilia, Luisa Francini, Paolo Soda. 591-596 [doi]
• Juxtaposing 5G Coronavirus Tweets with General Coronavirus Tweets During the Early Months of Coronavirus OutbreakRafi Trad, Myra Spiliopoulou. 597-602 [doi]
• A Recommendation System for Electronic Health Records in the Context of the HOPE ProjectRuben 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. 603-608 [doi]