Table of Contents

• Privacy Assessment of Synthetic Patient DataFerdoos Hossein Nezhad, Ylenia Rotalinti, Puja Myles, Allan Tucker. 1-6 [doi]
• Creating Synthetic Geospatial Patient Data to Mimic Real Data Whilst Preserving Privacy: *2022 35th International Symposium on Computer-Based Medical Systems (CBMS)Dima R. Alattal, Zhenchen Wang, Puja Myles, Allan Tucker. 7-12 [doi]
• Assessing Vulnerabilities of Deep Learning Explainability in Medical Image Analysis Under Adversarial SettingsErikson Júlio De Aguiar, Márcus V. L. Costa, Caetano Traina, Agma J. M. Traina. 13-16 [doi]
• A Multimodal Image Registration System for Histology ImagesRodrigo Escobar Díaz Guerrero, Yubraj Gupta, Thomas Bocklitz, José Luís Oliveira. 17-22 [doi]
• Preventing Pressure Ulcers by Image based Posture DetectionRamin Soleimani, Dirk Pesch. 23-28 [doi]
• Action Recognition in Video Recordings from Gynecologic LaparoscopySahar Nasirihaghighi, Negin Ghamsarian, Daniela Stefanics, Klaus Schoeffmann, Heinrich Husslein. 29-34 [doi]
• AI-powered image acquisition and characterisation of dressings for patient-centred wound managementPedro Alves, Ana Filipa Sampaio, Nuno Cardoso, Paulo Alves, Pedro Salgado, Maria João M. Vasconcelos. 35-40 [doi]
• Three-Dimensional Wound Reconstruction using Point Descriptors: A Comparative StudyJosé R. A. Souto, Fellipe M. C. Barbosa, Bruno M. Carvalho 0001. 41-46 [doi]
• RePolyp: A Framework for Generating Realistic Colon Polyps with Corresponding Segmentation Masks using Diffusion ModelsAlexander K. Pishva, Vajira Thambawita, Jim Torresen, Steven Alexander Hicks. 47-52 [doi]
• A Vendor Neutral Archive with MONAI for Automatic Medical Image AnalysisRui Jesus, José Frias, Luís Bastião Silva, Carlos Costa 0001. 53-56 [doi]
• 3D Reconstruction of Forearm Veins Using NIR-Based Stereovision and Deep LearningJan Liu, Flakë Bajraktari, Regine Rausch, Peter P. Pott. 57-60 [doi]
• Tele-Mentoring Using Augmented Reality: A Feasibility Study to Assess Teaching of Laparoscopic Suturing SkillsDehlela Shabir, Shidin Balakrishnan, Jhasketan Padhan, Julien Abinahed, Elias Yaacoub, Amr Mohamed 0001, Zhigang Deng, Abdulla Al-Ansari, Panagiotis Tsiamyrtzis, Nikhil V. Navkar. 61-66 [doi]
• Secure and Modular Sensor Network for an Ambient Assisted Living Field StudyStefan Kunze, Simon Uhrmann, Alexander Weinberger. 67-74 [doi]
• Hemoglobin Estimation from Smartphone-Based Photoplethysmography with Small DataDiego F. Silva, José G. B. De M, Lucas V. Domingues, Thiago Mazzu-Nascimento. 75-78 [doi]
• Predicting Patient-Based Time-Dependent Mobile Health DataAnna Kleinau, Simon Flügel, Rüdiger Pryss, Carsten Vogel, Milena Engelke, Winfried Schlee, Vishnu Unnikrishnan, Myra Spiliopoulou. 79-84 [doi]
• Live Birth Forecasting in Brazillian Health Regions with Tree-based Machine Learning ModelsDouglas Vieira Do Nascimento, Rafael Teixeira Sousa, Diogo Fernandes Costa Silva, Daniel do Prado Pagotto, Clarimar José Coelho, Arlindo Rodrigues Galvão Filho. 85-90 [doi]
• Automatic ICD-10 Code Association: A Challenging Task on French Clinical TextsYakini Tchouka, Jean-François Couchot, David Laiymani, Philippe Selles, Azzedine Rahmani. 91-96 [doi]
• Upscaling Operators of Essential Services Incident Response TeamsJoão Paulo Barraca, Cristina Cerqueira, José Filipe Alves, Sara Andrade, António Meireles, João Rafael Almeida. 97-102 [doi]
• A Highly Configurable EMA and JITAI Mobile App Framework Utilized in a Large-Scale German Study on Breast Cancer AftercareCarsten Vogel, Eileen Bendig, Patricia Garatva, Lena Stenzel, Abdul Rahman Idrees, Robin Kraft, Harald Baumeister, Rüdiger Pryss. 103-110 [doi]
• A Blood Flow Game Based on Smoothed Particles Hydrodynamics ConceptsGabriela Colombo Alves Longo, Luciana Venturini Rossoni, Helton Hideraldo Bíscaro. 111-116 [doi]
• Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization ToolsMirela T. Cazzolato, Marco Antonio Gutierrez 0001, Caetano Traina, Christos Faloutsos, Agma J. M. Traina. 117-122 [doi]
• Ensemble Convolutional Neural Networks for the Classification and Visualization of Retinal Diseases in Optical Coherence Tomography ImagesJongwoo Kim, Loc Q. Tran. 123-128 [doi]
• Heartisan: An Incremental Learning Based Arrhythmia Detection, Data Collection, and Monitoring SystemIfran Rahman Nijhum, Anan Ghosh, Hasibul Hassan, Md. Yearat Hossain, Tanzilur Rahman. 129-136 [doi]
• Fluorescence Image Visualization using Multi-Channel Minimax Optimization (MCMO)Yongjian Yu, Jue Wang. 137-142 [doi]
• A Modified Louvain Approach for Medical Community Detection using Geographic DataGianlucca L. Zuin, Humberto Lomeu, Gabriel Barros, Matheus Barbosa, Guilherme Lima, Nicolas Vançan, Fernando Biscione. 143-148 [doi]
• The mHealth ALIBIRD Platform: Supporting Cancer Patient Treatment and Follow-upJose M. Iniesta-Chamorro, María Sereno-Moyano, Beatriz Garrido-Rubiales, Victoria Moreno-Arribas, Ana Ramírez de Molina, M. Elena Hernando Pérez, Guillermo Reglero, Enrique Casado, Enrique J. Gómez. 149-152 [doi]
• Concept and Requirements for an Educational Serious Game Teaching Pandemic ManagementMaximilian Karthan, Daniel Hieber, Annika Kreuder, Ulrich Frick, Rüdiger Pryss, Johannes Schobel. 153-156 [doi]
• Beyond Annual Revisions: A Multi-Label Concept Drift Analysis of MeSHNikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas. 157-162 [doi]
• Accurate and Safe Drug Recommendations based on Singular Value DecompositionPanagiotis Symeonidis, Grigorios Manitaras, Markus Zanker. 163-168 [doi]
• Developing a Gamification-Based mHealth Platform to Support Orofacial Myofunctional Therapy for ChildrenMaximilian Karthan, Daniel Hieber, Rüdiger Pryss, Johannes Schobel. 169-172 [doi]
• SecureFASTA: Ensuring privacy and trust when sharing genomic dataDiniz Cruz, João Rafael Almeida, Jorge Miguel Silva, José Luís Oliveira. 173-178 [doi]
• Exploring disease-drug pairs in Clinical Trials information for personalized drug repurposingAndrea Álvarez Pérez, Lucía Prieto Santamaría, Esther Ugarte Carro, Belén Otero-Carrasco, Adrián Ayuso Muñoz, Alejandro Rodríguez González. 179-184 [doi]
• Orphan Drugs and Rare Diseases: Unveiling Biological Patterns through Drug RepurposingBelén Otero-Carrasco, Santiago Romero-Brufau, Andrea Álvarez Pérez, Adrián Ayuso Muñoz, Lucía Prieto Santamaría, Juan Pedro Caraça-Valente Hernández, Alejandro Rodríguez González. 185-191 [doi]
• Enhancing Drug Repurposing on Graphs by Integrating Drug Molecular Structure as FeatureAdrián Ayuso Muñoz, Lucía Prieto Santamaría, Andrea Álverez-Pérez, Belén Otero-Carrasco, Emilio Serrano, Alejandro Rodríguez González. 192-197 [doi]
• OpenDPMH: A Framework for Developing Mobile Sensing Applications of Digital PhenotypingJean Mendes, Francisco Silva, André Cardoso, Ivan Moura, Luciano R. Coutinho, Davi Viana, Markus Endler, Ariel Soares Teles. 198-203 [doi]
• Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial IntelligenceAndrea M. Storås, Morten Magnø, Fredrik A. Fineide, Bernd Thiede, XiangJun Chen, Inga Strümke, Pål Halvorsen, Tor P. Utheim, Michael A. Riegler. 204-209 [doi]
• Subgroups of social anxiety disorder using digital phenotypeHyoungshin Choi, Choongki Min, Kyungnam Kim. 210-213 [doi]
• Machine learning for rectal cancer prediction based on metabolic changes on amino acidsJosé Tavares, Pedro Brandão, Ivo Barros, Jose Gonçalves, Isabel Praça, Lucia Lacerda, Marisa Santos. 214-217 [doi]
• Comparing HISAT and STAR-based pipelines for RNA-Seq Data Analysis: a real experienceAndrea Bianchi, Antinisca Di Marco, Cristina Pellegrini. 218-224 [doi]
• Stimming Behavior Dataset - Unifying Stereotype Behavior Dataset in the WildGuilherme Ocker Ribeiro, Mateus Grellert, Jônata Tyska Carvalho. 225-230 [doi]
• Trustworthy Machine Learning Predictions to Support Clinical Research and DecisionsAndrea Bianchi, Antinisca Di Marco, Francesca Marzi, Giovanni Stilo, Cristina Pellegrini, Stefano Masi, Alessandro Mengozzi, Agostino Virdis, Marco Salvatore Nobile, Marta Simeoni. 231-234 [doi]
• Early Detection of Autism Spectrum Disorder through AI-Powered Analysis of Social Media TextsSergio Rubio-Martín, María Teresa García-Ordás, Martín Bayón-Gutiérrez, Natalia Prieto-Fernández, José Alberto Benítez-Andrades. 235-240 [doi]
• Construction of Chinese Pediatric Epilepsy Knowledge GraphKunli Zhang, Qianxiang Gao, Jinzhao Zhang, Dongming Dai, Yingjie Han, Hongying Zan, Xiaomei Liu. 241-244 [doi]
• Inferring Salient Motifs during Learning ExperimentsNoor Jamaludeen, Felix Kuhn, André Brechmann, Falko Fuhrmann, Stefan Remy, Myra Spiliopoulou. 245-251 [doi]
• Clinician's perspective on trusting Patient Generated Health Data for use in clinical decision-making: A qualitative interview studyLucy Hederman, Damon Berry, Alfredo Ormazabal. 252-256 [doi]
• Gait Event Timeseries Assessment through Spectral Biomarkers and Machine LearningAndrea Tigrini, Federica Verdini, Sandro Fioretti, Mara Scattolini, Rami Mobarak, Ennio Gambi, Laura Burattini, Alessandro Mengarelli. 257-262 [doi]
• A Machine Learning-based Method for Cyber Risk AssessmentGiulia Rafaiani, Massimo Battaglioni, Simone Compagnoni, Linda Senigagliesi, Franco Chiaraluce, Marco Baldi. 263-268 [doi]
• Canonical Correlation Analysis of Transient EMG Data for Multi-User Motion Intent DetectionMara Scattolini, Andrea Tigrini, Federica Verdini, Sandro Fioretti, Alessandro Mengarelli. 269-274 [doi]
• Walking Pattern Identification of FMCW Radar Data based on a Combined CNN and bi-LSTM ApproachAntonio Nocera, Linda Senigagliesi, Gianluca Ciattaglia, Ennio Gambi. 275-280 [doi]
• A Machine-Learning Framework based on Continuous Glucose Monitoring to Prevent the Occurrence of Exercise-Induced Hypoglycemia in Children with Type 1 DiabetesAgnese Piersanti, Benedetta Salvatori, Christian Göbl, Laura Burattini, Andrea Tura, Micaela Morettini. 281-286 [doi]
• Investigation of Physiological Features by Age Groups in Children with AutismElif Toprak, Sevgi Nur Bilgin Aktas, Buket Coskun, Pinar Uluer, Hatice Kose, Duygun Erol Barkana. 287-292 [doi]
• Toward a Minimal sEMG Setup for Knee and Ankle Kinematic Estimation during GaitAlessandro Mengarelli, Federica Verdini, Ali H. Al-Timemy, Rami Mobarak, Mara Scattolini, Sandro Fioretti, Laura Burattini, Andrea Tigrini. 293-298 [doi]
• Pattern Recognition and Classification of Low-Intensity Emotions from Physiological DataIsabel Curioso, Bruno Ribeiro 0009, Pedro Matias 0002, Ricardo Santos 0006, Joana Sousa, João Ferreira, Hugo Gamboa, David Belo. 299-304 [doi]
• Cuffless Beat-to-Beat Blood Pressure Estimation from Photoplethysmogram SignalsCarolin Wuerich, Christian Wiede, Gregor Schiele. 305-310 [doi]
• Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples IdentificationMd Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Yu Sun 0004, Dmitry B. Goldgof. 311-316 [doi]
• SACA-UNet:Medical Image Segmentation Network Based on Self-Attention and ASPPGaojuan Fan, Jie Wang, Chongsheng Zhang. 317-322 [doi]
• Investigating the Effect of Body Composition Differences on Seismocardiogram CharacteristicsFadime Tokmak, Beren Semiz. 323-328 [doi]
• Live Births Prediction using Legendre Memory Unit: A Case Study for the Health Regions of GoiásGabriela Kaori Diógenes, Arthur Ricardo De Sousa Vitória, Diogo Fernandes Costa Silva, Daniel do Prado Pagotto, Rafael Teixeira Sousa, Arlindo Rodrigues Galvão Filho. 329-334 [doi]
• ML-Peaks: CHIP-Seq Peak Detection Pipeline using Machine Learning TechniquesSajad Amouei Sheshkal, Michael Alexander Riegler, Hugo Lewi Hammer. 335-340 [doi]
• Voice Emotion Recognition Based on Color Histogram FeaturesMarcelo Marques da Rocha, Aura Conci, Débora Christina Muchaluat-Saade. 341-347 [doi]
• Graph model of phase lag index for connectivity analysis in EEG of emotionsDaniele Lozzi, Filippo Mignosi, Giuseppe Placidi, Matteo Polsinelli. 348-353 [doi]
• Motor Imagery Classification Enhancement using Generative Adversarial Networks for EEG Spectrum Image GenerationAhmed G. Habashi, Ahmed M. Azab, Seif Eldawlatly, Gamal M. Aly. 354-359 [doi]
• Comparison of deep learning architectures for colon cancer mutation detectionRobin Heckenauer, Jonathan Weber, Cédric Wemmert, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Michel Hassenforder, Pierre-Alain Muller, Germain Forestier. 360-365 [doi]
• Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial IntelligenceFredrik A. Fineide, Andrea M. Storås, Michael A. Riegler, Tor Paaske Utheim. 366-373 [doi]
• EEG and Motor Effects of Multimodal Feedback to Train Functional Grasp after Traumatic Brain InjuryMingxiao Liu, Samuel Wilder, Sean Sanford, Sophie Dewil, Soha Saleh, Raviraj Nataraj. 374-377 [doi]
• CardioBERTpt: Transformer-based Models for Cardiology Language Representation in PortugueseElisa Terumi Rubel Schneider, Yohan Bonescki Gumiel, João Vitor Andrioli de Souza, Lilian Mie Mukai Cintho, Lucas Emanuel Silva e Oliveira, Marina de Sá Rebelo, Marco Antonio Gutierrez 0001, José Eduardo Krieger, Douglas Teodoro, Claudia Maria Cabral Moro, Emerson Cabrera Paraiso. 378-381 [doi]
• PD-Net: Multi-Stream Hybrid Healthcare System for Parkinson's Disease Detection using Multi Learning Trick ApproachMustaqeem Khan, Ufaq Khan, Alice Othmani. 382-385 [doi]
• Classification Of Complicated Upper Limb Movements From Pre-movement EEG Signals Using STFT And Spectral CharacteristicsEhsan Azam, Ali Hassan 0001, Muhammad Abdul Basit Malik, Imran Khan Niazi. 386-391 [doi]
• The Generation of Standardized e-Learning Content Packages from Interoperable FHIR Clinical CasesFélix Buendía García, Joaquín Gayoso-Cabada, Jaime González Díaz, Sergio Guíñez-Molinos, José Luis Sierra-Rodríguez. 392-397 [doi]
• Development of a Breast Ultrasound Phantom for Medical TrainingAndreia Caldas, Simão Valente, Nuno S. Rodrigues, Augusto R. V. F. de Araújo, Rolands Storzs, António Real, Raul R. Ribeiro, Margarida R. Ferreira, Pedro Morais, Demétrio Matos, João L. Vilaça. 398-403 [doi]
• Structuring Breast Cancer Spanish Electronic Health Records Using Deep LearningAlvaro Garcia-Barragán, Oswaldo Solarte Pabón, Georgiy Nedostup, Mariano Provencio, Ernestina Menasalvas, Victor Robles. 404-409 [doi]
• Task-oriented arm training for stroke patients based on remote handling technology concepts: Results of a pilot studyJule Elmanowski, Melanie Kleynen, Richard Geers, Jeroen P. A. Verbunt, Henk Seelen. 410-415 [doi]
• Automated Design of Task-Dedicated Illumination with Particle Swarm OptimizationAustin Ryan English. 416-421 [doi]
• Natural Language Processing for Clinical Quality MeasuresJuan F. Arias. 422-425 [doi]
• A Real-Time Dual Heart and Respiratory Rate Estimator for Electrical Impedance TomographyDiogo Filipe Silva, Steffen Leonhardt. 426-430 [doi]
• Calibration and Registration Method for Tomography-Based Laser-Guided Surgical Interventions using a 4-DOF Navigation RobotSamuel Müller, Olaf Hellwich, Daniel Szymanski, Hardik Jain, Timo Krüger. 431-434 [doi]
• Improving Deep Learning Shape Consistency with a New Loss Function for Left Ventricle Segmentation in Cardiac MRIMatheus Alberto de Oliveira Ribeiro, Marco A. Gutierrez, Fátima L. S. Nunes. 435-440 [doi]
• Deep Coordinate Regression for Weakly Supervised Segmentation of the Locus Coeruleus in MRIMax Dünnwald, Philipp Ernst, Emrah Düzel, Klaus Tönnies, Matthew J. Betts, Andreas Nürnberger, Steffen Oeltze-Jafra. 441-445 [doi]
• Cardiac Detection in Non-Contrast CT and Application to Calcium ScoringTetsuya Asakawa, Yuki Sugimoto, Hiroki Shinoda, Kazuki Shimizu, Takuya Togawa, Takuyuki Komoda, Masaki Aono. 446-449 [doi]
• CLAUDIA: Cloud-based Automatic Diagnosis of Alzheimer's Prodromal Stage and Disease from 3D Brain Magnetic ResonanceSelene Tomassini, Agnese Sbrollini, Micaela Morettini, Aldo Franco Dragoni, Laura Burattini. 450-455 [doi]
• Graph Model to Represent Color Closeness in Pseudo-color Multimodal MRIAlessandro Pio, Giovanna Castellano, Filippo Mignosi, Giuseppe Placidi, Matteo Polsinelli, Alessandro Sciarra, Gennaro Vessio. 456-462 [doi]
• Expert Variability and Deep Learning Performance in Spinal Cord Lesion Segmentation for Multiple Sclerosis PatientsRicky Walsh, Cédric Meurée, Anne Kerbrat, Arthur Masson, Burhan Rashid Hussein, Malo Gaubert, Francesca Galassi, Benoît Combès. 463-470 [doi]
• A Comparative Study Between Paired And Unpaired Image Quality Assessment In Low-Dose CT DenoisingFrancesco Di Feola, Lorenzo Tronchin, Paolo Soda. 471-476 [doi]
• Segmentation of Planning Target Volume in CT Series for Total Marrow Irradiation Using U-NetRicardo Coimbra Brioso, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti. 477-482 [doi]
• Efficient Region Proposal Extraction of Small Lung Nodules Using Enhanced VGG16 Network ModelYadollah Zamanidoost, Nada Alami-Chentoufi, Tarek Ould Bachir, Sylvain Martel. 483-488 [doi]
• 3D CATBraTS: Channel Attention Transformer for Brain Tumour Semantic SegmentationRim El Badaoui, Ester Bonmati Coll, Aleka Psarrou, Barbara Villarini. 489-494 [doi]
• Handcrafted features vs deep-learned features: Hermite Polynomial Classification of Liver ImagesDanilo Cesar Pereira, Leonardo C. Longo, Thaína A. A. Tosta, Alessandro Santana Martins, Adriano Barbosa-Silva, Guilherme Botazzo Rozendo, Guilherme Freire Roberto, Alessandra Lumini, Leandro Alves Neves, Marcelo Zanchetta do Nascimento. 495-500 [doi]
• Active Learning Impact in the Annotation of Cases in a Pathology-PACSRui Jesus, Dibet Garcia Gonzalez, João Carias, Telmo Adão, Rui Almeida, Vitor Manuel Leitão de Sousa, Luís Bastião Silva, Carlos Costa 0001. 501-504 [doi]
• Ensemble Methods for Multi-Organ Segmentation in CT seriesLeonardo Crespi, Paolo Roncaglioni, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti. 505-510 [doi]
• Combining Unsupervised and Supervised Deep Learning for Alzheimer's Disease Detection by Fractional Anisotropy ImagingGiovanna Castellano, Eufemia Lella, Valerio Longo, Giuseppe Placidi, Matteo Polsinelli, Gennaro Vessio. 511-516 [doi]
• A Deep Learning-based Radiomics Approach for COVID-19 Detection from CXR Images using Ensemble Learning ModelMárcus V. L. Costa, Erikson Júlio De Aguiar, Lucas Santiago Rodrigues, Jonathan S. Ramos, Caetano Traina, Agma J. M. Traina. 517-522 [doi]
• The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus?Xiaodan Xing, Yang Nan 0002, Federico Felder, Simon Walsh, Guang Yang 0006. 523-528 [doi]
• Increasing the diversity of ensemble members for accurate brain tumor classificationGergo Bogacsovics, Balázs Harangi, András Hajdu. 529-534 [doi]
• Siamese Network to Investigate Scanner-Dependency in MRIMatteo Polsinelli, Luigi Cinque, Filippo Mignosi, Giuseppe Placidi, Genoveffa Tortora. 535-541 [doi]
• Radiomics Software Tools: A comparative Analysis on Breast CancerEduardo Almeda Luna, José María Luna, Sebastián Ventura. 542-547 [doi]
• Spread-Out Bragg Peak in Treatment Planning System by Mixed Integer Linear Programming: a Proof of ConceptMatteo Spezialetti, Ramon Gimenez De Lorenzo, Giovanni Luca Gravina, Giuseppe Placidi, Fabrizio Rossi, Giorgio Russo, Stefano Smriglio, Francesca Vittorini, Filippo Mignosi. 548-554 [doi]
• Spatial distribution of BOLD activations evoked by three different tastants to build a chemotopic map of primary gustatory area: A pilot studyIlaria Marcantoni, Federica Tomaiuolo, Giusi Piccolantonio, Agnese Sbrollini, Micaela Morettini, Federica Fiori, Arianna Vignini, Gabriele Polonara, Laura Burattini, Mara Fabri. 555-560 [doi]
• OCT Image Synthesis through Deep Generative ModelsTânia Melo, Jaime S. Cardoso 0001, Ângela Carneiro, Aurélio Campilho, Ana Maria Mendonça. 561-566 [doi]
• Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT imagesLeonardo Crespi, Mattia Portanti, Daniele Loiacono. 567-572 [doi]
• An Ensemble Approach for Inconsistency Detection in Medical Bills: A Case StudyGianlucca L. Zuin, Lucas Parreiras, Luiz Melo, Gabriel Barros, Humberto Lomeu, Batielhe Melo, Wesley Marini, Debora Lott, Mateus de Souza. 573-578 [doi]
• Materials and techniques for effective at-home rehabilitation for hand mobility restoration based on the Virtual GloveEleni Theodoridou, Angelo Cacchio, Alessandro Di Matteo, Matteo Polsinelli, Giuseppe Placidi. 579-584 [doi]
• Symbolic Analysis of Heart-Rate Variability during Training and Competition in Short Distance RunningSofia Romagnoli, Agnese Sbrollini, Micaela Morettini, Laura Burattini. 585-588 [doi]
• Detection of cerebral ischaemia using transfer learning techniquesCristina Antón-Munárriz, Rafael Pastor Vargas, Juan Mario Haut, Antonio Robles-Gómez, Mercedes Eugenia Paoletti, José Alberto Benítez-Andrades. 589-594 [doi]
• Blood Pressure Assessment from Contact Photoplethysmographic Signals Using a Combination of Deep Convolutional and Recurrent Neural NetworksYanis Masdoua, Melissa Lounici, Frédéric Bousefsaf, Feriel Abalache, Choubeila Maaoui, Alain Pruski. 595-600 [doi]
• CNN Ensembles for Nuclei Segmentation on Histological Images of OEDAdriano Barbosa-Silva, Guilherme Botazzo Rozendo, Thaína A. A. Tosta, Alessandro Santana Martins, Adriano M. Loyola, Sérgio V. Cardoso, Alessandra Lumini, Leandro Alves Neves, Paulo Rogério de Faria, Marcelo Zanchetta do Nascimento. 601-604 [doi]
• Anti-seizure Medication Classification using EEG signals via Attention-based CNNHrishikesh Tiwary, Arnav Bhavsar. 605-610 [doi]
• Advancing Thyroid Pathologies Detection with Recurrent Neural Networks and Micro-FTIR Hyperspectral ImagingMatheus de Freitas Oliveira Baffa, Luciano Bachmann, Denise Maria Zezell, Thiago Martini Pereira, Thomas Martin Deserno, Joaquim Cezar Felipe. 611-615 [doi]
• A Light-weight CNN Model for Efficient Parkinson's Disease DiagnosticsXuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Pille Taba, Aaro Toomela, Sven Nõmm, Michael V. Ruzhansky. 616-621 [doi]
• Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task LearningArun Sivakumar, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob Furst, Daniela Stan Raicu. 622-627 [doi]
• Analysing Biomedical Knowledge Graphs using Prime Adjacency MatricesKonstantinos Bougiatiotis, Georgios Paliouras. 628-633 [doi]
• Safe and Effective Recommendation of Drug Combinations based on Matrix Co-FactorizationPanagiotis Symeonidis, Luca Bellinazzi, ChemsEddine Berbague, Markus Zanker. 634-639 [doi]
• Objective Assessment of the Finger Tapping Task in Parkinson's Disease and Control Subjects using Azure Kinect and Machine LearningGianluca Amprimo, Irene Rechichi, Claudia Ferraris, Gabriella Olmo. 640-645 [doi]
• COVID-19 detection from thermal image and tabular medical data utilizing multi-modal machine learningMahbub Ul Alam 0001, Jaakko Hollmén, Rahim Rahmani. 646-653 [doi]
• Computer-based Blind Diagnostic System for Classification of Healthy and Disordered VoicesZulfiqar Ali 0001, Alba Garcia Seco de Herrera, Tamer A. Mesallam, Ghulam Muhammad. 654-659 [doi]
• Feasibility of Cough Detection and Classification Using Artificial Intelligence in an Ambulatory Setting with a Ceiling Mounted MicrophoneSimon Bertschinger, Lukas Fenner, Kerstin Denecke. 660-665 [doi]
• Analysis of Transitions in Differences between Frequent Medical-order Sequences for COVID-19Zitai Zhao, Yuki Yasumitsu, Hieu Hanh Le, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota. 666-671 [doi]
• PsyBERTpt: A Clinical Entity Recognition Model for Psychiatric NarrativesLuiz Henrique Pereira Niero, Ivan Rizzo Guilherme, Lucas Emanuel Silva e Oliveira, Gerardo Maria de Araújo Filho. 672-677 [doi]
• Facial Acne Segmentation based on Deep Learning with Center Point LossSemin Kim, Chanhyuk Lee, Geunho Jung, HuiSu Yoon, Jongha Lee, Sangwook Yoo. 678-683 [doi]
• Imputation of missing clinical, cognitive and neuroimaging data of Dementia using missForest, a Random Forest based algorithmFederica Aracri, Maria Giovanna Bianco, Andrea Quattrone, Alessia Sarica. 684-688 [doi]
• Fully Automatic Grading of Retinal Vasculitis on Fluorescein Angiography Time-lapse from Real-world Data in Clinical SettingsVictor Amiot, Oscar Alfonso Jiménez del Toro, Pauline Eyraud, Yan Guex-Crosier, Ciara Bergin, André Anjos, Florence Hoogewoud, Mattia Tomasoni. 689-693 [doi]
• Clustering-based Pattern Discovery in Lung Cancer TreatmentsDaniel Gómez-Bravo, Aaron García, Guillermo Vigueras, Belén Ríos-Sánchez, Alejandra Pérez-García, Vanessa Ospina, María Torrente, Ernestina Menasalvas, Mariano Provencio, Alejandro Rodríguez González. 694-699 [doi]
• A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical InterviewsMamadou Dia, Ghazaleh Khodabandelou, Alice Othmani. 700-705 [doi]
• Early prediction of the risk of ICU mortality with Deep Federated LearningKorbinian Randl, Núria Lladós Armengol, Lena Mondrejevski, Ioanna Miliou. 706-711 [doi]
• Localization-Enhanced Voting-based Ensemble of Semantic Segmentation Models for Cervical Polyp SegmentationNorbert Serban, Balázs Harangi. 712-715 [doi]
• Chronic Pain Patient Narratives Allow for the Estimation of Current Pain IntensityDiogo A. P. Nunes, Joana Ferreira-Gomes, Daniela Santos Oliveira, Carlos Jorge Cabral Vaz, Sofia Santos Pimenta Vale, Fani Neto, David Martins de Matos. 716-719 [doi]
• Man vs. AI: An in silico study of polyp detection performancePia Helen Smedsrud, Håvard Espeland, Tor Jan Derek Berstad, Andreas Petlund, Thomas de Lange, Michael A. Riegler, Pål Halvorsen. 720-725 [doi]
• Analysis of Semantic Drifting in Diagnostic Texts for Sleep DisordersYihan Deng, Julia van der Meer, Athina Tzovara, Markus H. Schmidt, Claudio L. A. Bassetti, Kerstin Denecke. 726-729 [doi]
• A Chatbot-based Recommendation Framework for Hypertensive PatientsSara Montagna, Stefano Mariani 0001, Martino F. Pengo. 730-733 [doi]
• Active aging prediction from muscle electrical activity using HD-sEMG signals and machine learningSidi Mohamed Sid'El Moctar, Ahmad Diab, Imad Rida, Kiyoka Kinugawa, Sofiane Boudaoud. 734-737 [doi]
• Periodontisis Evaluation through Automatic Teeth Detection and Segmentation from self-collected Smartphone ImagesStefano Rosini, Serena Altamura, Davide Pietropaoli, Giuseppe Placidi, Matteo Polsinelli. 738-741 [doi]
• Meta-Polyp: A Baseline for Efficient Polyp SegmentationQuoc-Huy Trinh. 742-747 [doi]
• Evaluating Classifiers Trained on Differentially Private Synthetic Health DataParisa Movahedi, Valtteri Nieminen, Ileana Montoya Perez, Tapio Pahikkala, Antti Airola. 748-753 [doi]
• Identification of different functional hand grips using a sensor glove: reproducibility in healthy subjectsEva-Maria Stevens-Lefferts, Richard Geers, Evie Houët-Löring, Henk Seelen. 754-759 [doi]
• CNN-Based Intention Recognition Using Body-Worn Inertial Measurement UnitsFlakë Bajraktari, Nikolas Robetakopf, Peter P. Pott. 760-765 [doi]
• Impact of Activities in Daily Living on Electrical Bioimpedance Measurements for Bladder MonitoringAbdelakram Hafid, Saad Abdullah, Maria Lindán, Annica Kristoffersson, Mia Folke. 766-769 [doi]
• An Ecosystem of Digital Twins for Operating Room ManagementSamuele Burattini, Sara Montagna, Angelo Croatti, Nicola Gentili, Alessandro Ricci, Laura Leonardi, Serafino Pandolfini, Sofia Tosi. 770-775 [doi]
• Monte Carlo simulation-based analysis of unobtrusive PPG monitoring through clothesIdoia Badiola, Onno Linschmann, Lina Willms, Vladimir Blazek, Steffen Leonhardt, Markus J. Lüken. 776-781 [doi]
• Development of a Thermoplastic Polyurethane gradient deformation monitoring systemSérgio G. Pereira, Fernando Veloso, Tiago H. Barros, Pedro Lobo, Pedro Morais, João L. Vilaça. 782-786 [doi]
• Networked multi-sensor rollator with AI-assisted fall detectionMarkus Schwarz, Vincent Gauda, Markus Kaiser, Henrik K. J. Kuttruff, Jonas Rentzsch, Maximilian Thür. 787-790 [doi]
• Ontology-Based Service Composition for Interoperable and Modular Medical DevicesAndreas Puder, Marc Schindewolf, Eric Sax. 791-797 [doi]
• On the FPGA-Based Hardware Implementation of Digital Glucose Regulators for Type 2 Diabetic PatientsGuido Di Patrizio Stanchieri, Andrea De Marcellis, Marco Faccio, Elia Palange, Mario Di Ferdinando, Stefano Di Gennaro, Pierdomenico Pepe. 802-805 [doi]
• Lesion-Aware Chest Radiography Abnormality Classification with Object Detection FrameworkJoão Pedrosa, Pedro Sousa, Joana Silva, Ana Maria Mendonça, Aurélio Campilho. 806-813 [doi]
• Semi-supervised Multi-structure Segmentation in Chest X-Ray ImagingRicardo Coimbra Brioso, João Pedrosa, Ana Maria Mendonça, Aurélio Campilho. 814-820 [doi]
• Towards Realistic 3D Ultrasound Synthesis: Deformable Augmentation using Conditional Variational AutoencodersDaniel Wulff, Timon Dohnke, Ngoc Thinh Nguyen, Floris Ernst. 821-826 [doi]
• MIMO YOLO - A Multiple Input Multiple Output Model for Automatic Cell CountingHunter Morera, Palak Dave, Saeed S. Alahmari, Yaroslav Kolinko, Lawrence O. Hall, Dmitry B. Goldgof, Peter R. Mouton. 827-831 [doi]
• Early Experiences on using Triplet Networks for Histological Subtype Classification in Non-Small Cell Lung CancerFatih Aksu, Fabrizia Gelardi, Arturo Chiti, Paolo Soda. 832-837 [doi]
• Unsupervised Prostate Cancer Histopathology Image Segmentation via Meta-LearningNikolai Fetisov, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath. 838-844 [doi]
• An Automatic Tool Performing Functional Analysis in MR Urography in ChildrenElena Vincenzi, Alice Fantazzini, Martina Gulino, Simone Manini, Alessandro Verri, Francesca Odone, Luca Basso, Maria Beatrice Damasio, Curzio Basso. 845-851 [doi]
• Multi-scale Contrastive Learning for Gastroenteroscopy ClassificationDan Li, Xuechen Li, Zhibin Peng, Wenting Chen, LinLin Shen, Guangyao Wu. 852-858 [doi]
• Human body odour modulates neural processing of faces: effective connectivity analysis using EEGSaideh Ferdowsi, Dimitri Ognibene, Tom Foulsham, Alberto Greco 0001, Alejandro Luis Callara, Sergio Cervera-Torres, Mariano Alcañiz, Nicola Vanello, Luca Citi. 858-863 [doi]
• Deep Learning based Diagnostic and Severity Assessment Framework for Lung Diseases using Chest RadiographsAnushikha Singh, Brejesh Lall, Bijaya K. Panigrahi, Anjali Agrawal, Anurag Agrawal, Balamugesh Thangakunam, D. J. Christopher. 864-869 [doi]
• 18F]FDG-PET: an explainable machine learning approachH. S. Vries, G. D. Van Praagh, P. H. Nienhuis, O. Bouhali, Riemer H. J. A. Slart, L. Alic. 870-875 [doi]
• Enhanced Alzheimer's disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity FeaturesAndreas Miltiadous, Katerina D. Tzimourta, Vasileios Aspiotis, Theodora Afrantou, Markos G. Tsipouras, Nikolaos Giannakeas, Euripidis Glavas, Alexandros T. Tzallas. 876-881 [doi]
• Variational Autoencoder as a Data Augmentation tool for Confocal Microscopy ImagesEugenia Sol Piñeiro, Rodrigo Ramele, Juliana Gambini. 882-885 [doi]
• Deep Learning Based Detection of Collateral Circulation in Coronary AngiographiesCosmin-Andrei Hatfaludi, Daniel Bunescu, Costin Florian Ciusdel, Alex Serban, Karl Böse, Marc Oppel, Stephanie Schröder, Christopher Seehase, Harald F. Langer, Jeanette Erdmann, Henry Nording, Lucian Mihai Itu. 886-891 [doi]
• A FAIR Approach to Real-World Health Data Management and AnalysisJoão Rafael Almeida, Jorge Miguel Silva, José Luís Oliveira. 892-897 [doi]
• FASS-ECG: A FHIR Cloud API to Enable Streaming and Storage of Continuous 12-leads ECGsCássio Ribeiro Pereira, Acssa Passos Sousa, Fábio P. Itturriet, Juliano C. Machado, André Luís Del Mestre Martins. 898-903 [doi]
• Towards an Architecture for Collecting a Multidimensional Glioblastoma DatasetDaniel Hieber, Georg Prokop, Maximilian Karthan, Felix Holl, Hans A. Kestler, Gregor Grambow, Bruno Märkl, Rüdiger Pryss, Friederike Liesche-Starnecker, Johannes Schobel. 904-909 [doi]
• Effect of incorporating metadata to the generation of synthetic time series in a healthcare contextImanol Isasa, Mikel Hernandez, Gorka Epelde, Francisco Londoño, Andoni Beristain, Ane Alberdi, Panagiotis D. Bamidis, Evdokimos I. Konstantinidis. 910-916 [doi]
• A Survey on Public Data Sets Related to Chronic DiseasesIoannis Bilionis, Luis Fernández-Luque, Carlos Castillo 0001. 917-920 [doi]
• A Breast Cancer Recurrence Risk Predictor Using a Deep Learning Multi-omics Data Integration FrameworkAriana Rahman, Yining Zhang, Jin G. Park. 921-922 [doi]
• Machine Learning-Based Classification of Hypertension using CnD Features from Acceleration Photoplethysmography and Clinical ParametersSaad Abdullah, Abdelakram Hafid, Maria Lindén, Mia Folke, Annica Kristoffersson. 923-924 [doi]
• Joint Learning of Segmentation and Overall Survival for Brain Tumor based on U-NetJunmo Kwon, Hyunjin Park. 925-926 [doi]