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ORCID36th 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, Caetano Traina, Agma J. M. Traina:
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, Daniela Stefanics, Klaus Schoeffmann, Heinrich Husslein:
Action Recognition in Video Recordings from Gynecologic Laparoscopy. 29-34 - Pedro Alves, Ana Filipa Sampaio, Nuno Cardoso, Paulo Alves, Pedro Salgado, Maria João M. Vasconcelos:
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, Flakë Bajraktari, Regine Rausch, Peter P. Pott:
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, Abdulla Al-Ansari, Panagiotis Tsiamyrtzis, Nikhil V. Navkar:
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, Rafael Teixeira Sousa, Diogo Fernandes Costa Silva, Daniel do Prado Pagotto, Clarimar José Coelho, Arlindo Rodrigues Galvão Filho:
Live Birth Forecasting in Brazillian Health Regions with Tree-based Machine Learning Models. 85-90 - Yakini Tchouka, Jean-François Couchot, David Laiymani, Philippe Selles, Azzedine Rahmani:
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, Eileen Bendig, Patricia Garatva, Lena Stenzel, Abdul Rahman Idrees, Robin Kraft, Harald Baumeister, Rüdiger Pryss:
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, Anan Ghosh, Hasibul Hassan, Md. Yearat Hossain, Tanzilur Rahman:
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 F. 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, María Sereno-Moyano, Beatriz Garrido-Rubiales, Victoria Moreno-Arribas, Ana Ramírez de Molina, M. Elena Hernando Pérez, Guillermo Reglero, Enrique Casado, Enrique J. Gómez:
The mHealth ALIBIRD Platform: Supporting Cancer Patient Treatment and Follow-up. 149-152 - Maximilian Karthan, Daniel Hieber, Annika Kreuder, Ulrich Frick, Rüdiger Pryss, Johannes Schobel:
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, Alejandro Rodríguez González:
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, Lucía Prieto Santamaría, Juan Pedro Caraça-Valente Hernández, Alejandro Rodríguez González:
Orphan Drugs and Rare Diseases: Unveiling Biological Patterns through Drug Repurposing. 185-191 - Adrián Ayuso Muñoz, Lucía Prieto Santamaría, Andrea Álverez-Pérez, Belén Otero-Carrasco, Emilio Serrano, Alejandro Rodríguez González:
Enhancing Drug Repurposing on Graphs by Integrating Drug Molecular Structure as Feature. 192-197 - Jean Mendes, Francisco Silva, André Cardoso, Ivan Moura, Luciano R. Coutinho, Davi Viana, Markus Endler, Ariel Soares Teles:
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, Choongki Min, Kyungnam Kim:
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, Antinisca Di Marco, Cristina Pellegrini:
Comparing HISAT and STAR-based pipelines for RNA-Seq Data Analysis: a real experience. 218-224 - Guilherme Ocker Ribeiro, Mateus Grellert, Jônata Tyska Carvalho:
Stimming Behavior Dataset - Unifying Stereotype Behavior Dataset in the Wild. 225-230 - Andrea Bianchi, Antinisca Di Marco, Francesca Marzi, Giovanni Stilo, Cristina Pellegrini, Stefano Masi, Alessandro Mengozzi, Agostino Virdis, Marco Salvatore Nobile, Marta Simeoni:
Trustworthy Machine Learning Predictions to Support Clinical Research and Decisions. 231-234 - Sergio Rubio-Martín, María Teresa García-Ordás, Martín Bayón-Gutiérrez, Natalia Prieto-Fernández, José Alberto Benítez-Andrades:
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, Damon Berry, Alfredo Ormazabal:
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, Rami Mobarak, Ennio Gambi, Laura Burattini, Alessandro Mengarelli:
Gait Event Timeseries Assessment through Spectral Biomarkers and Machine Learning. 257-262 - Giulia Rafaiani, Massimo Battaglioni, Simone Compagnoni, Linda Senigagliesi, Franco Chiaraluce, Marco Baldi:
A Machine Learning-based Method for Cyber Risk Assessment. 263-268 - Mara Scattolini, Andrea Tigrini, Federica Verdini, Sandro Fioretti, Alessandro Mengarelli:
Canonical Correlation Analysis of Transient EMG Data for Multi-User Motion Intent Detection. 269-274 - Antonio Nocera, Linda Senigagliesi, Gianluca Ciattaglia, Ennio Gambi:
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, Pinar Uluer, Hatice Kose, Duygun Erol Barkana:
Investigation of Physiological Features by Age Groups in Children with Autism. 287-292 - Alessandro Mengarelli, Federica Verdini, Ali H. Al-Timemy, Rami Mobarak, Mara Scattolini, Sandro Fioretti, Laura Burattini, Andrea Tigrini:
Toward a Minimal sEMG Setup for Knee and Ankle Kinematic Estimation during Gait. 293-298 - Isabel Curioso, Bruno Ribeiro, Pedro Matias, Ricardo Santos, Joana Sousa, João Ferreira, Hugo Gamboa, David Belo:
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, Beren Semiz:
Investigating the Effect of Body Composition Differences on Seismocardiogram Characteristics. 323-328 - Gabriela Kaori Diógenes, Arthur Ricardo De Sousa Vitória, Diogo Fernandes Costa Silva, Daniel do Prado Pagotto, Rafael Teixeira Sousa, Arlindo Rodrigues Galvão Filho:
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, Filippo Mignosi, Giuseppe Placidi, Matteo Polsinelli:
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, Yohan Bonescki Gumiel, João Vitor Andrioli de Souza, Lilian Mie Mukai Cintho, Lucas Emanuel Silva e Oliveira, Marina de Sá Rebelo, Marco Antonio Gutierrez, José Eduardo Krieger, Douglas Teodoro, Claudia Maria Cabral Moro, Emerson Cabrera Paraiso:
CardioBERTpt: Transformer-based Models for Cardiology Language Representation in Portuguese. 378-381 - Mustaqeem Khan, Ufaq Khan, Alice Othmani:
PD-Net: Multi-Stream Hybrid Healthcare System for Parkinson's Disease Detection using Multi Learning Trick Approach. 382-385 - Ehsan Azam, Ali Hassan, Muhammad Abdul Basit Malik, Imran Khan Niazi:
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, Rolands Storzs, António Real, Raul Ferrete Ribeiro, Margarida R. Ferreira, Pedro Morais, Demétrio Matos, João L. Vilaça:
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, Daniel Szymanski, Hardik Jain, Timo Krüger:
Calibration and Registration Method for Tomography-Based Laser-Guided Surgical Interventions using a 4-DOF Navigation Robot. 431-434 - Matheus Alberto de Oliveira Ribeiro, Marco A. Gutierrez, Fátima L. S. Nunes:
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, Agnese Sbrollini, Micaela Morettini, Aldo Franco Dragoni, Laura Burattini:
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, Cédric Meurée, Anne Kerbrat, Arthur Masson, Burhan Rashid Hussein, Malo Gaubert, Francesca Galassi, Benoît Combès:
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, Sylvain Martel:
Efficient Region Proposal Extraction of Small Lung Nodules Using Enhanced VGG16 Network Model. 483-488 - Rim El Badaoui, Ester Bonmati Coll, Aleka Psarrou, Barbara Villarini:
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, Paolo Roncaglioni, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti:
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, Erikson Júlio De Aguiar, Lucas Santiago Rodrigues, Jonathan S. Ramos, Caetano Traina, Agma J. M. Traina:
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, Giorgio Russo, Stefano Smriglio, Francesca Vittorini, Filippo Mignosi:
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, Jaime S. Cardoso, Ângela Carneiro, Aurélio Campilho, Ana Maria Mendonça:
OCT Image Synthesis through Deep Generative Models. 561-566 - Leonardo Crespi, Mattia Portanti, Daniele Loiacono:
Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images. 567-572 - Gianlucca L. Zuin, Lucas Parreiras, Luiz Melo, Gabriel F. 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, Angelo Cacchio, Alessandro Di Matteo, Matteo Polsinelli, Giuseppe Placidi:
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, Antonio Robles-Gómez, Mercedes Eugenia Paoletti, José Alberto Benítez-Andrades:
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, Paulo Rogério de Faria, Marcelo Zanchetta do Nascimento:
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, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Pille Taba, Aaro Toomela, Sven Nõmm, Michael V. Ruzhansky:
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, Irene Rechichi, Claudia Ferraris, Gabriella Olmo:
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, Jaakko Hollmén, Rahim Rahmani:
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, Lukas Fenner, Kerstin Denecke:
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, Ivan Rizzo Guilherme, Lucas Emanuel Silva e Oliveira, Gerardo Maria de Araújo Filho:
PsyBERTpt: A Clinical Entity Recognition Model for Psychiatric Narratives. 672-677 - Semin Kim, Chanhyuk Lee, Geunho Jung, Huisu Yoon, Jongha Lee, Sangwook Yoo:
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, Ciara Bergin, André Anjos, Florence Hoogewoud, Mattia Tomasoni:
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, Núria Lladós Armengol, Lena Mondrejevski, Ioanna Miliou:
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, Joana Ferreira-Gomes, Daniela Santos Oliveira, Carlos Jorge Cabral Vaz, Sofia Santos Pimenta Vale, Fani Neto, David Martins de Matos:
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, Michael A. Riegler, Pål Halvorsen:
Man vs. AI: An in silico study of polyp detection performance. 720-725 - Yihan Deng, Julia van der Meer, Athina Tzovara, Markus H. Schmidt, Claudio L. A. Bassetti, Kerstin Denecke:
Analysis of Semantic Drifting in Diagnostic Texts for Sleep Disorders. 726-729 - Sara Montagna, Stefano Mariani, Martino F. Pengo:
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, Davide Pietropaoli, Giuseppe Placidi, Matteo Polsinelli:
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, Valtteri Nieminen, Ileana Montoya Perez, Tapio Pahikkala, Antti Airola:
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, Sara Montagna, Angelo Croatti, Nicola Gentili, Alessandro Ricci, Laura Leonardi, Serafino Pandolfini, Sofia Tosi:
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, Marc Schindewolf, Eric Sax:
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, Pedro Sousa, Joana Silva, Ana Maria Mendonça, Aurélio Campilho:
Lesion-Aware Chest Radiography Abnormality Classification with Object Detection Framework. 806-813 - Ricardo Coimbra Brioso, João Pedrosa, Ana Maria Mendonça, Aurélio Campilho:
Semi-supervised Multi-structure Segmentation in Chest X-Ray Imaging. 814-820 - Daniel Wulff, Timon Dohnke, Ngoc Thinh Nguyen, Floris Ernst:
Towards Realistic 3D Ultrasound Synthesis: Deformable Augmentation using Conditional Variational Autoencoders. 821-826 - Hunter Morera, Palak Dave, Saeed S. Alahmari, Yaroslav Kolinko, Lawrence O. Hall, Dmitry B. Goldgof, Peter R. Mouton:
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, Linlin Shen, Guangyao Wu:
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, Nicola Vanello, Luca Citi:
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, Riemer H. J. A. Slart, L. Alic:
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, Rodrigo Ramele, Juliana Gambini:
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, José Luís Oliveira:
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, Mikel Hernandez, Gorka Epelde, Francisco Londoño, Andoni Beristain, Ane Alberdi, Panagiotis D. Bamidis, Evdokimos I. Konstantinidis:
Effect of incorporating metadata to the generation of synthetic time series in a healthcare context. 910-916 - Ioannis Bilionis, Luis Fernández-Luque, Carlos Castillo:
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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