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36th CBMS 2023: L'Aquila, Italy
- João Rafael Almeida, Myra Spiliopoulou, José Alberto Benítez-Andrades, Giuseppe Placidi, Alejandro Rodríguez González, Rosa Sicilia, Bridget Kane:
36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, L'Aquila, Italy, June 22-24, 2023. IEEE 2023, ISBN 979-8-3503-1224-9 - Ferdoos Hossein Nezhad, Ylenia Rotalinti, Puja Myles, Allan Tucker:
Privacy Assessment of Synthetic Patient Data. 1-6 - Dima R. Alattal, Zhenchen Wang
, Puja Myles, Allan Tucker:
Creating Synthetic Geospatial Patient Data to Mimic Real Data Whilst Preserving Privacy: *2022 35th International Symposium on Computer-Based Medical Systems (CBMS). 7-12 - Erikson Júlio De Aguiar, Márcus V. L. Costa
Assessing Vulnerabilities of Deep Learning Explainability in Medical Image Analysis Under Adversarial Settings. 13-16 - Rodrigo Escobar Díaz Guerrero, Yubraj Gupta, Thomas Bocklitz, José Luís Oliveira:
A Multimodal Image Registration System for Histology Images. 17-22 - Ramin Soleimani, Dirk Pesch:
Preventing Pressure Ulcers by Image based Posture Detection. 23-28 - Sahar Nasirihaghighi, Negin Ghamsarian
Action Recognition in Video Recordings from Gynecologic Laparoscopy. 29-34 - Pedro Alves
AI-powered image acquisition and characterisation of dressings for patient-centred wound management. 35-40 - José R. A. Souto, Fellipe M. C. Barbosa, Bruno M. Carvalho:
Three-Dimensional Wound Reconstruction using Point Descriptors: A Comparative Study. 41-46 - Alexander K. Pishva, Vajira Thambawita, Jim Torresen, Steven Alexander Hicks:
RePolyp: A Framework for Generating Realistic Colon Polyps with Corresponding Segmentation Masks using Diffusion Models. 47-52 - Rui Jesus, José Frías, Luís Bastião Silva, Carlos Costa
A Vendor Neutral Archive with MONAI for Automatic Medical Image Analysis. 53-56 - Jan Liu
3D Reconstruction of Forearm Veins Using NIR-Based Stereovision and Deep Learning. 57-60 - Dehlela Shabir, Shidin Balakrishnan, Jhasketan Padhan, Julien Abinahed, Elias Yaacoub, Amr Mohamed, Zhigang Deng
Tele-Mentoring Using Augmented Reality: A Feasibility Study to Assess Teaching of Laparoscopic Suturing Skills. 61-66 - Stefan Kunze, Simon Uhrmann, Alexander Weinberger:
Secure and Modular Sensor Network for an Ambient Assisted Living Field Study. 67-74 - Diego F. Silva, José G. B. De M, Lucas V. Domingues, Thiago Mazzu-Nascimento:
Hemoglobin Estimation from Smartphone-Based Photoplethysmography with Small Data. 75-78 - Anna Kleinau, Simon Flügel, Rüdiger Pryss, Carsten Vogel, Milena Engelke, Winfried Schlee, Vishnu Unnikrishnan, Myra Spiliopoulou:
Predicting Patient-Based Time-Dependent Mobile Health Data. 79-84 - Douglas Vieira Do Nascimento
Live Birth Forecasting in Brazillian Health Regions with Tree-based Machine Learning Models. 85-90 - Yakini Tchouka, Jean-François Couchot, David Laiymani
Automatic ICD-10 Code Association: A Challenging Task on French Clinical Texts. 91-96 - João Paulo Barraca, Cristina Cerqueira, José Filipe Alves, Sara Andrade, António Meireles, João Rafael Almeida:
Upscaling Operators of Essential Services Incident Response Teams. 97-102 - Carsten Vogel
A Highly Configurable EMA and JITAI Mobile App Framework Utilized in a Large-Scale German Study on Breast Cancer Aftercare. 103-110 - Gabriela Colombo Alves Longo, Luciana Venturini Rossoni, Helton Hideraldo Bíscaro:
A Blood Flow Game Based on Smoothed Particles Hydrodynamics Concepts. 111-116 - Mirela T. Cazzolato, Marco Antonio Gutierrez, Caetano Traina, Christos Faloutsos, Agma J. M. Traina:
Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools. 117-122 - Jongwoo Kim, Loc Q. Tran:
Ensemble Convolutional Neural Networks for the Classification and Visualization of Retinal Diseases in Optical Coherence Tomography Images. 123-128 - Ifran Rahman Nijhum
Heartisan: An Incremental Learning Based Arrhythmia Detection, Data Collection, and Monitoring System. 129-136 - Yongjian Yu, Jue Wang:
Fluorescence Image Visualization using Multi-Channel Minimax Optimization (MCMO). 137-142 - Gianlucca L. Zuin, Humberto Lomeu, Gabriel Barros, Matheus Barbosa, Guilherme Lima, Nicolas Vançan, Fernando Biscione:
A Modified Louvain Approach for Medical Community Detection using Geographic Data. 143-148 - Jose M. Iniesta-Chamorro
The mHealth ALIBIRD Platform: Supporting Cancer Patient Treatment and Follow-up. 149-152 - Maximilian Karthan, Daniel Hieber, Annika Kreuder
Concept and Requirements for an Educational Serious Game Teaching Pandemic Management. 153-156 - Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas:
Beyond Annual Revisions: A Multi-Label Concept Drift Analysis of MeSH. 157-162 - Panagiotis Symeonidis, Grigorios Manitaras, Markus Zanker:
Accurate and Safe Drug Recommendations based on Singular Value Decomposition. 163-168 - Maximilian Karthan, Daniel Hieber, Rüdiger Pryss, Johannes Schobel:
Developing a Gamification-Based mHealth Platform to Support Orofacial Myofunctional Therapy for Children. 169-172 - Diniz Cruz, João Rafael Almeida, Jorge Miguel Silva, José Luís Oliveira:
SecureFASTA: Ensuring privacy and trust when sharing genomic data. 173-178 - Andrea Álvarez Pérez, Lucía Prieto Santamaría, Esther Ugarte Carro, Belén Otero-Carrasco, Adrián Ayuso Muñoz
Exploring disease-drug pairs in Clinical Trials information for personalized drug repurposing. 179-184 - Belén Otero-Carrasco, Santiago Romero-Brufau, Andrea Álvarez Pérez, Adrián Ayuso Muñoz
Orphan Drugs and Rare Diseases: Unveiling Biological Patterns through Drug Repurposing. 185-191 - Adrián Ayuso Muñoz
Enhancing Drug Repurposing on Graphs by Integrating Drug Molecular Structure as Feature. 192-197 - Jean Mendes, Francisco Silva, André Cardoso, Ivan Moura
OpenDPMH: A Framework for Developing Mobile Sensing Applications of Digital Phenotyping. 198-203 - Andrea M. Storås, Morten Magnø, Fredrik A. Fineide, Bernd Thiede, Xiangjun Chen, Inga Strümke, Pål Halvorsen, Tor P. Utheim, Michael A. Riegler:
Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence. 204-209 - Hyoungshin Choi
Subgroups of social anxiety disorder using digital phenotype. 210-213 - José Tavares, Pedro Brandão, Ivo Barros, José Gonçalves, Isabel Praça, Lucia Lacerda, Marisa Santos:
Machine learning for rectal cancer prediction based on metabolic changes on amino acids. 214-217 - Andrea Bianchi
Comparing HISAT and STAR-based pipelines for RNA-Seq Data Analysis: a real experience. 218-224 - Guilherme Ocker Ribeiro, Mateus Grellert
Stimming Behavior Dataset - Unifying Stereotype Behavior Dataset in the Wild. 225-230 - Andrea Bianchi
Trustworthy Machine Learning Predictions to Support Clinical Research and Decisions. 231-234 - Sergio Rubio-Martín
Early Detection of Autism Spectrum Disorder through AI-Powered Analysis of Social Media Texts. 235-240 - Kunli Zhang, Qianxiang Gao, Jinzhao Zhang, Dongming Dai, Yingjie Han, Hongying Zan, Xiaomei Liu:
Construction of Chinese Pediatric Epilepsy Knowledge Graph. 241-244 - Noor Jamaludeen, Felix Kuhn, André Brechmann, Falko Fuhrmann, Stefan Remy, Myra Spiliopoulou:
Inferring Salient Motifs during Learning Experiments. 245-251 - Lucy Hederman
Clinician's perspective on trusting Patient Generated Health Data for use in clinical decision-making: A qualitative interview study. 252-256 - Andrea Tigrini, Federica Verdini, Sandro Fioretti, Mara Scattolini
Gait Event Timeseries Assessment through Spectral Biomarkers and Machine Learning. 257-262 - Giulia Rafaiani
A Machine Learning-based Method for Cyber Risk Assessment. 263-268 - Mara Scattolini
Canonical Correlation Analysis of Transient EMG Data for Multi-User Motion Intent Detection. 269-274 - Antonio Nocera
Walking Pattern Identification of FMCW Radar Data based on a Combined CNN and bi-LSTM Approach. 275-280 - Agnese Piersanti, Benedetta Salvatori, Christian Göbl, Laura Burattini, Andrea Tura, Micaela Morettini:
A Machine-Learning Framework based on Continuous Glucose Monitoring to Prevent the Occurrence of Exercise-Induced Hypoglycemia in Children with Type 1 Diabetes. 281-286 - Elif Toprak, Sevgi Nur Bilgin Aktas, Buket Coskun
Investigation of Physiological Features by Age Groups in Children with Autism. 287-292 - Alessandro Mengarelli, Federica Verdini, Ali H. Al-Timemy
Toward a Minimal sEMG Setup for Knee and Ankle Kinematic Estimation during Gait. 293-298 - Isabel Curioso, Bruno Ribeiro, Pedro Matias
Pattern Recognition and Classification of Low-Intensity Emotions from Physiological Data. 299-304 - Carolin Wuerich, Christian Wiede, Gregor Schiele:
Cuffless Beat-to-Beat Blood Pressure Estimation from Photoplethysmogram Signals. 305-310 - Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof:
Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples Identification. 311-316 - Gaojuan Fan, Jie Wang, Chongsheng Zhang:
SACA-UNet:Medical Image Segmentation Network Based on Self-Attention and ASPP. 317-322 - Fadime Tokmak
Investigating the Effect of Body Composition Differences on Seismocardiogram Characteristics. 323-328 - Gabriela Kaori Diógenes
Live Births Prediction using Legendre Memory Unit: A Case Study for the Health Regions of Goiás. 329-334 - Sajad Amouei Sheshkal, Michael Alexander Riegler, Hugo Lewi Hammer:
ML-Peaks: CHIP-Seq Peak Detection Pipeline using Machine Learning Techniques. 335-340 - Marcelo Marques da Rocha, Aura Conci, Débora Christina Muchaluat-Saade:
Voice Emotion Recognition Based on Color Histogram Features. 341-347 - Daniele Lozzi
Graph model of phase lag index for connectivity analysis in EEG of emotions. 348-353 - Ahmed G. Habashi, Ahmed M. Azab, Seif Eldawlatly, Gamal M. Aly:
Motor Imagery Classification Enhancement using Generative Adversarial Networks for EEG Spectrum Image Generation. 354-359 - Robin Heckenauer, Jonathan Weber, Cédric Wemmert, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Michel Hassenforder, Pierre-Alain Muller, Germain Forestier:
Comparison of deep learning architectures for colon cancer mutation detection. 360-365 - Fredrik A. Fineide, Andrea M. Storås, Michael A. Riegler, Tor Paaske Utheim:
Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence. 366-373 - Mingxiao Liu, Samuel Wilder, Sean Sanford, Sophie Dewil, Soha Saleh, Raviraj Nataraj:
EEG and Motor Effects of Multimodal Feedback to Train Functional Grasp after Traumatic Brain Injury. 374-377 - Elisa Terumi Rubel Schneider
CardioBERTpt: Transformer-based Models for Cardiology Language Representation in Portuguese. 378-381 - Mustaqeem Khan
PD-Net: Multi-Stream Hybrid Healthcare System for Parkinson's Disease Detection using Multi Learning Trick Approach. 382-385 - Ehsan Azam, Ali Hassan
Classification Of Complicated Upper Limb Movements From Pre-movement EEG Signals Using STFT And Spectral Characteristics. 386-391 - Félix Buendía García, Joaquín Gayoso-Cabada, Jaime González Díaz, Sergio Guíñez-Molinos, José Luis Sierra-Rodríguez:
The Generation of Standardized e-Learning Content Packages from Interoperable FHIR Clinical Cases. 392-397 - Andreia Caldas, Simão Valente, Nuno S. Rodrigues, Augusto R. V. F. de Araújo
Development of a Breast Ultrasound Phantom for Medical Training. 398-403 - Alvaro Garcia-Barragán, Oswaldo Solarte Pabón, Georgiy Nedostup, Mariano Provencio, Ernestina Menasalvas, Victor Robles:
Structuring Breast Cancer Spanish Electronic Health Records Using Deep Learning. 404-409 - Jule Elmanowski, Melanie Kleynen, Richard P. J. Geers, Jeroen P. A. Verbunt, Henk Seelen:
Task-oriented arm training for stroke patients based on remote handling technology concepts: Results of a pilot study. 410-415 - Austin Ryan English
Automated Design of Task-Dedicated Illumination with Particle Swarm Optimization. 416-421 - Juan F. Arias:
Natural Language Processing for Clinical Quality Measures. 422-425 - Diogo Filipe Silva, Steffen Leonhardt:
A Real-Time Dual Heart and Respiratory Rate Estimator for Electrical Impedance Tomography. 426-430 - Samuel Müller, Olaf Hellwich
Calibration and Registration Method for Tomography-Based Laser-Guided Surgical Interventions using a 4-DOF Navigation Robot. 431-434 - Matheus Alberto de Oliveira Ribeiro
Improving Deep Learning Shape Consistency with a New Loss Function for Left Ventricle Segmentation in Cardiac MRI. 435-440 - Max Dünnwald, Philipp Ernst, Emrah Düzel, Klaus Tönnies, Matthew J. Betts, Andreas Nürnberger, Steffen Oeltze-Jafra:
Deep Coordinate Regression for Weakly Supervised Segmentation of the Locus Coeruleus in MRI. 441-445 - Tetsuya Asakawa, Yuki Sugimoto, Hiroki Shinoda, Kazuki Shimizu, Takuya Togawa, Takuyuki Komoda, Masaki Aono:
Cardiac Detection in Non-Contrast CT and Application to Calcium Scoring. 446-449 - Selene Tomassini
CLAUDIA: Cloud-based Automatic Diagnosis of Alzheimer's Prodromal Stage and Disease from 3D Brain Magnetic Resonance. 450-455 - Alessandro Pio, Giovanna Castellano, Filippo Mignosi, Giuseppe Placidi, Matteo Polsinelli, Alessandro Sciarra, Gennaro Vessio:
Graph Model to Represent Color Closeness in Pseudo-color Multimodal MRI. 456-462 - Ricky Walsh
Expert Variability and Deep Learning Performance in Spinal Cord Lesion Segmentation for Multiple Sclerosis Patients. 463-470 - Francesco Di Feola, Lorenzo Tronchin, Paolo Soda:
A Comparative Study Between Paired And Unpaired Image Quality Assessment In Low-Dose CT Denoising. 471-476 - Ricardo Coimbra Brioso, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti:
Segmentation of Planning Target Volume in CT Series for Total Marrow Irradiation Using U-Net. 477-482 - Yadollah Zamanidoost, Nada Alami-Chentoufi, Tarek Ould-Bachir
Efficient Region Proposal Extraction of Small Lung Nodules Using Enhanced VGG16 Network Model. 483-488 - Rim El Badaoui
3D CATBraTS: Channel Attention Transformer for Brain Tumour Semantic Segmentation. 489-494 - Danilo 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:
Handcrafted features vs deep-learned features: Hermite Polynomial Classification of Liver Images. 495-500 - Rui Jesus, Dibet Garcia Gonzalez, João Carias, Telmo Adão, Rui Almeida, Vitor Manuel Leitão de Sousa, Luís Bastião Silva, Carlos Costa
Active Learning Impact in the Annotation of Cases in a Pathology-PACS. 501-504 - Leonardo Crespi
Ensemble Methods for Multi-Organ Segmentation in CT series. 505-510 - Giovanna Castellano, Eufemia Lella, Valerio Longo, Giuseppe Placidi, Matteo Polsinelli, Gennaro Vessio
Combining Unsupervised and Supervised Deep Learning for Alzheimer's Disease Detection by Fractional Anisotropy Imaging. 511-516 - Márcus V. L. Costa
A Deep Learning-based Radiomics Approach for COVID-19 Detection from CXR Images using Ensemble Learning Model. 517-522 - Xiaodan Xing, Yang Nan, Federico Felder, Simon Walsh, Guang Yang:
The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus? 523-528 - Gergo Bogacsovics, Balázs Harangi, András Hajdu:
Increasing the diversity of ensemble members for accurate brain tumor classification. 529-534 - Matteo Polsinelli, Luigi Cinque, Filippo Mignosi, Giuseppe Placidi, Genoveffa Tortora:
Siamese Network to Investigate Scanner-Dependency in MRI. 535-541 - Eduardo Almeda Luna, José María Luna, Sebastián Ventura:
Radiomics Software Tools: A comparative Analysis on Breast Cancer. 542-547 - Matteo Spezialetti, Ramon Gimenez De Lorenzo, Giovanni Luca Gravina, Giuseppe Placidi, Fabrizio Rossi
Spread-Out Bragg Peak in Treatment Planning System by Mixed Integer Linear Programming: a Proof of Concept. 548-554 - Ilaria Marcantoni, Federica Tomaiuolo, Giusi Piccolantonio, Agnese Sbrollini, Micaela Morettini, Federica Fiori, Arianna Vignini, Gabriele Polonara, Laura Burattini, Mara Fabri:
Spatial distribution of BOLD activations evoked by three different tastants to build a chemotopic map of primary gustatory area: A pilot study. 555-560 - Tânia Melo
OCT Image Synthesis through Deep Generative Models. 561-566 - Leonardo Crespi
Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images. 567-572 - Gianlucca L. Zuin, Lucas Parreiras, Luiz Melo, Gabriel Barros, Humberto Lomeu, Batielhe Melo, Wesley Marini, Debora Lott, Mateus de Souza:
An Ensemble Approach for Inconsistency Detection in Medical Bills: A Case Study. 573-578 - Eleni Theodoridou
Materials and techniques for effective at-home rehabilitation for hand mobility restoration based on the Virtual Glove. 579-584 - Sofia Romagnoli, Agnese Sbrollini, Micaela Morettini, Laura Burattini:
Symbolic Analysis of Heart-Rate Variability during Training and Competition in Short Distance Running. 585-588 - Cristina Antón-Munárriz, Rafael Pastor Vargas, Juan Mario Haut
Detection of cerebral ischaemia using transfer learning techniques. 589-594 - Yanis Masdoua, Melissa Lounici, Frédéric Bousefsaf, Feriel Abalache, Choubeila Maaoui, Alain Pruski:
Blood Pressure Assessment from Contact Photoplethysmographic Signals Using a Combination of Deep Convolutional and Recurrent Neural Networks. 595-600 - Adriano Barbosa-Silva, Guilherme Botazzo Rozendo, Thaína A. A. Tosta, Alessandro Santana Martins, Adriano M. Loyola, Sérgio V. Cardoso, Alessandra Lumini, Leandro Alves Neves
CNN Ensembles for Nuclei Segmentation on Histological Images of OED. 601-604 - Hrishikesh Tiwary, Arnav Bhavsar:
Anti-seizure Medication Classification using EEG signals via Attention-based CNN. 605-610 - Matheus de Freitas Oliveira Baffa, Luciano Bachmann, Denise Maria Zezell, Thiago Martini Pereira, Thomas Martin Deserno, Joaquim Cezar Felipe:
Advancing Thyroid Pathologies Detection with Recurrent Neural Networks and Micro-FTIR Hyperspectral Imaging. 611-615 - Xuechao Wang
A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics. 616-621 - Arun Sivakumar, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob Furst, Daniela Stan Raicu:
Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task Learning. 622-627 - Konstantinos Bougiatiotis, Georgios Paliouras:
Analysing Biomedical Knowledge Graphs using Prime Adjacency Matrices. 628-633 - Panagiotis Symeonidis, Luca Bellinazzi, ChemsEddine Berbague, Markus Zanker:
Safe and Effective Recommendation of Drug Combinations based on Matrix Co-Factorization. 634-639 - Gianluca Amprimo
Objective Assessment of the Finger Tapping Task in Parkinson's Disease and Control Subjects using Azure Kinect and Machine Learning. 640-645 - Mahbub Ul Alam
COVID-19 detection from thermal image and tabular medical data utilizing multi-modal machine learning. 646-653 - Zulfiqar Ali, Alba Garcia Seco de Herrera, Tamer A. Mesallam, Ghulam Muhammad:
Computer-based Blind Diagnostic System for Classification of Healthy and Disordered Voices. 654-659 - Simon Bertschinger
Feasibility of Cough Detection and Classification Using Artificial Intelligence in an Ambulatory Setting with a Ceiling Mounted Microphone. 660-665 - Zitai Zhao, Yuki Yasumitsu, Hieu Hanh Le, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota:
Analysis of Transitions in Differences between Frequent Medical-order Sequences for COVID-19. 666-671 - Luiz Henrique Pereira Niero
PsyBERTpt: A Clinical Entity Recognition Model for Psychiatric Narratives. 672-677 - Semin Kim
Facial Acne Segmentation based on Deep Learning with Center Point Loss. 678-683 - Federica Aracri, Maria Giovanna Bianco, Andrea Quattrone, Alessia Sarica
Imputation of missing clinical, cognitive and neuroimaging data of Dementia using missForest, a Random Forest based algorithm. 684-688 - Victor Amiot, Oscar Alfonso Jiménez del Toro, Pauline Eyraud, Yan Guex-Crosier
Fully Automatic Grading of Retinal Vasculitis on Fluorescein Angiography Time-lapse from Real-world Data in Clinical Settings. 689-693 - Daniel Gómez-Bravo, Aaron García, Guillermo Vigueras, Belén Ríos-Sánchez, Alejandra Pérez-García, Vanessa Ospina, María Torrente, Ernestina Menasalvas, Mariano Provencio, Alejandro Rodríguez González:
Clustering-based Pattern Discovery in Lung Cancer Treatments. 694-699 - Mamadou Dia, Ghazaleh Khodabandelou, Alice Othmani:
A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical Interviews. 700-705 - Korbinian Randl
Early prediction of the risk of ICU mortality with Deep Federated Learning. 706-711 - Norbert Serban, Balázs Harangi:
Localization-Enhanced Voting-based Ensemble of Semantic Segmentation Models for Cervical Polyp Segmentation. 712-715 - Diogo A. P. Nunes
Chronic Pain Patient Narratives Allow for the Estimation of Current Pain Intensity. 716-719 - Pia Helen Smedsrud, Håvard Espeland, Tor Jan Derek Berstad, Andreas Petlund, Thomas de Lange
Man vs. AI: An in silico study of polyp detection performance. 720-725 - Yihan Deng, Julia van der Meer
Analysis of Semantic Drifting in Diagnostic Texts for Sleep Disorders. 726-729 - Sara Montagna
A Chatbot-based Recommendation Framework for Hypertensive Patients. 730-733 - Sidi Mohamed Sid'El Moctar, Ahmad Diab, Imad Rida, Kiyoka Kinugawa, Sofiane Boudaoud
Active aging prediction from muscle electrical activity using HD-sEMG signals and machine learning. 734-737 - Stefano Rosini, Serena Altamura
Periodontisis Evaluation through Automatic Teeth Detection and Segmentation from self-collected Smartphone Images. 738-741 - Quoc-Huy Trinh
Meta-Polyp: A Baseline for Efficient Polyp Segmentation. 742-747 - Parisa Movahedi
Evaluating Classifiers Trained on Differentially Private Synthetic Health Data. 748-753 - Eva-Maria Stevens-Lefferts, Richard P. J. Geers, Evie Houët-Löring, Henk Seelen:
Identification of different functional hand grips using a sensor glove: reproducibility in healthy subjects. 754-759 - Flakë Bajraktari, Nikolas Roßkopf, Peter P. Pott:
CNN-Based Intention Recognition Using Body-Worn Inertial Measurement Units. 760-765 - Abdelakram Hafid, Saad Abdullah, Maria Lindén, Annica Kristoffersson, Mia Folke:
Impact of Activities in Daily Living on Electrical Bioimpedance Measurements for Bladder Monitoring. 766-769 - Samuele Burattini
An Ecosystem of Digital Twins for Operating Room Management. 770-775 - Idoia Badiola, Onno Linschmann, Lina Willms, Vladimir Blazek, Steffen Leonhardt, Markus J. Lüken:
Monte Carlo simulation-based analysis of unobtrusive PPG monitoring through clothes. 776-781 - Sérgio G. Pereira, Fernando Veloso, Tiago H. Barros, Pedro Lobo, Pedro Morais, João L. Vilaça
Development of a Thermoplastic Polyurethane gradient deformation monitoring system. 782-786 - Markus Schwarz, Vincent Gauda, Markus Kaiser, Henrik K. J. Kuttruff, Jonas Rentzsch, Maximilian Thür:
Networked multi-sensor rollator with AI-assisted fall detection. 787-790 - Andreas Puder
Ontology-Based Service Composition for Interoperable and Modular Medical Devices. 791-797 - Guido Di Patrizio Stanchieri, Andrea De Marcellis, Marco Faccio, Elia Palange, Mario Di Ferdinando, Stefano Di Gennaro, Pierdomenico Pepe:
On the FPGA-Based Hardware Implementation of Digital Glucose Regulators for Type 2 Diabetic Patients. 802-805 - João Pedrosa
Lesion-Aware Chest Radiography Abnormality Classification with Object Detection Framework. 806-813 - Ricardo Coimbra Brioso
Semi-supervised Multi-structure Segmentation in Chest X-Ray Imaging. 814-820 - Daniel Wulff
Towards Realistic 3D Ultrasound Synthesis: Deformable Augmentation using Conditional Variational Autoencoders. 821-826 - Hunter Morera, Palak Dave, Saeed S. Alahmari, Yaroslav Kolinko
MIMO YOLO - A Multiple Input Multiple Output Model for Automatic Cell Counting. 827-831 - Fatih Aksu, Fabrizia Gelardi, Arturo Chiti, Paolo Soda:
Early Experiences on using Triplet Networks for Histological Subtype Classification in Non-Small Cell Lung Cancer. 832-837 - Nikolai Fetisov, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath:
Unsupervised Prostate Cancer Histopathology Image Segmentation via Meta-Learning. 838-844 - Elena Vincenzi, Alice Fantazzini, Martina Gulino, Simone Manini, Alessandro Verri, Francesca Odone, Luca Basso, Maria Beatrice Damasio, Curzio Basso:
An Automatic Tool Performing Functional Analysis in MR Urography in Children. 845-851 - Dan Li, Xuechen Li, Zhibin Peng, Wenting Chen
Multi-scale Contrastive Learning for Gastroenteroscopy Classification. 852-858 - Saideh Ferdowsi, Dimitri Ognibene, Tom Foulsham, Alberto Greco, Alejandro Luis Callara, Sergio Cervera-Torres, Mariano Alcañiz
Human body odour modulates neural processing of faces: effective connectivity analysis using EEG. 858-863 - Anushikha Singh, Brejesh Lall, Bijaya K. Panigrahi, Anjali Agrawal, Anurag Agrawal, Balamugesh Thangakunam, D. J. Christopher:
Deep Learning based Diagnostic and Severity Assessment Framework for Lung Diseases using Chest Radiographs. 864-869 - H. S. Vries, G. D. Van Praagh, P. H. Nienhuis, Othmane Bouhali
Differentiating between giant cell arteritis and atherosclerosis on [18F]FDG-PET: an explainable machine learning approach. 870-875 - Andreas Miltiadous, Katerina D. Tzimourta, Vasileios Aspiotis, Theodora Afrantou, Markos G. Tsipouras, Nikolaos Giannakeas, Euripidis Glavas, Alexandros T. Tzallas:
Enhanced Alzheimer's disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity Features. 876-881 - Eugenia Sol Piñeiro
Variational Autoencoder as a Data Augmentation tool for Confocal Microscopy Images. 882-885 - Cosmin-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:
Deep Learning Based Detection of Collateral Circulation in Coronary Angiographies. 886-891 - João Rafael Almeida, Jorge Miguel Silva
A FAIR Approach to Real-World Health Data Management and Analysis. 892-897 - Cássio Ribeiro Pereira, Acssa Passos Sousa, Fábio P. Itturriet, Juliano C. Machado, André Luís Del Mestre Martins:
FASS-ECG: A FHIR Cloud API to Enable Streaming and Storage of Continuous 12-leads ECGs. 898-903 - Daniel Hieber, Georg Prokop, Maximilian Karthan, Felix Holl, Hans A. Kestler, Gregor Grambow, Bruno Märkl, Rüdiger Pryss, Friederike Liesche-Starnecker, Johannes Schobel:
Towards an Architecture for Collecting a Multidimensional Glioblastoma Dataset. 904-909 - Imanol Isasa
Effect of incorporating metadata to the generation of synthetic time series in a healthcare context. 910-916 - Ioannis Bilionis
A Survey on Public Data Sets Related to Chronic Diseases. 917-920 - Ariana Rahman, Yining Zhang, Jin G. Park:
A Breast Cancer Recurrence Risk Predictor Using a Deep Learning Multi-omics Data Integration Framework. 921-922 - Saad Abdullah, Abdelakram Hafid, Maria Lindén, Mia Folke, Annica Kristoffersson:
Machine Learning-Based Classification of Hypertension using CnD Features from Acceleration Photoplethysmography and Clinical Parameters. 923-924 - Junmo Kwon, Hyunjin Park:
Joint Learning of Segmentation and Overall Survival for Brain Tumor based on U-Net. 925-926
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