IEEE International Symposium on Computer-Based Medical Systems

CBMS

CORE rank

CORE rank (raw)

Fields of research

Applied Computing · Human-Centred Computing · Machine Learning

Papers indexed

3,392

1988–2025

Best Machine Learning conferences Best Human-Computer Interaction conferences Best Applied Computing conferences

Papers per year

1988186 peak2025

Most published authors

CBMS papers

3,392 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2023	Pattern Recognition and Classification of Low-Intensity Emotions from Physiological Data.	Isabel Curioso, Bruno Ribeiro, Pedro Matias, Ricardo Santos, Joana Sousa, Joo Ferreira, Hugo Gamboa, David Belo
2023	SecureFASTA: Ensuring privacy and trust when sharing genomic data.	Diniz Cruz, Joo Rafael Almeida, Jorge Miguel Silva, Jos Lus Oliveira
2023	Ensemble Methods for Multi-Organ Segmentation in CT series.	Leonardo Crespi, Paolo Roncaglioni, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti
2023	Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images.	Leonardo Crespi, Mattia Portanti, Daniele Loiacono
2023	A Deep Learning-based Radiomics Approach for COVID-19 Detection from CXR Images using Ensemble Learning Model.	Mrcus V. L. Costa, Erikson Jlio De Aguiar, Lucas Santiago Rodrigues, Jonathan S. Ramos, Caetano Traina, Agma J. M. Traina
2023	Subgroups of social anxiety disorder using digital phenotype.	Hyoungshin Choi, Choongki Min, Kyungnam Kim
2023	Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools.	Mirela T. Cazzolato, Marco Antonio Gutierrez, Caetano Traina, Christos Faloutsos, Agma J. M. Traina
2023	Combining Unsupervised and Supervised Deep Learning for Alzheimer's Disease Detection by Fractional Anisotropy Imaging.	Giovanna Castellano, Eufemia Lella, Valerio Longo, Giuseppe Placidi, Matteo Polsinelli, Gennaro Vessio
2023	Development of a Breast Ultrasound Phantom for Medical Training.	Andreia Caldas, Simo Valente, Nuno S. Rodrigues, Augusto R. V. F. de Arajo, Rolands Storzs, Antnio Real, Raul Ferrete Ribeiro, Margarida R. Ferreira, Pedro Morais, Demtrio Matos, Joo L. Vilaa
2023	An Ecosystem of Digital Twins for Operating Room Management.	Samuele Burattini, Sara Montagna, Angelo Croatti, Nicola Gentili, Alessandro Ricci, Laura Leonardi, Serafino Pandolfini, Sofia Tosi
2023	Semi-supervised Multi-structure Segmentation in Chest X-Ray Imaging.	Ricardo Coimbra Brioso, Joo Pedrosa, Ana Maria Mendona, Aurlio Campilho
2023	Segmentation of Planning Target Volume in CT Series for Total Marrow Irradiation Using U-Net.	Ricardo Coimbra Brioso, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti
2023	Analysing Biomedical Knowledge Graphs using Prime Adjacency Matrices.	Konstantinos Bougiatiotis, Georgios Paliouras
2023	Increasing the diversity of ensemble members for accurate brain tumor classification.	Gergo Bogacsovics, Balzs Harangi, Andrs Hajdu
2023	A Survey on Public Data Sets Related to Chronic Diseases.	Ioannis Bilionis, Luis Fernndez-Luque, Carlos Castillo
2023	Comparing HISAT and STAR-based pipelines for RNA-Seq Data Analysis: a real experience.	Andrea Bianchi, Antinisca Di Marco, Cristina Pellegrini
2023	Trustworthy Machine Learning Predictions to Support Clinical Research and Decisions.	Andrea Bianchi, Antinisca Di Marco, Francesca Marzi, Giovanni Stilo, Cristina Pellegrini, Stefano Masi, Alessandro Mengozzi, Agostino Virdis, Marco Salvatore Nobile, Marta Simeoni
2023	Feasibility of Cough Detection and Classification Using Artificial Intelligence in an Ambulatory Setting with a Ceiling Mounted Microphone.	Simon Bertschinger, Lukas Fenner, Kerstin Denecke
2023	Upscaling Operators of Essential Services Incident Response Teams.	Joo Paulo Barraca, Cristina Cerqueira, Jos Filipe Alves, Sara Andrade, Antnio Meireles, Joo Rafael Almeida
2023	CNN Ensembles for Nuclei Segmentation on Histological Images of OED.	Adriano Barbosa-Silva, Guilherme Botazzo Rozendo, Thana A. A. Tosta, Alessandro Santana Martins, Adriano M. Loyola, Srgio V. Cardoso, Alessandra Lumini, Leandro Alves Neves, Paulo Rogrio de Faria, Marcelo Zanchetta do Nascimento
2023	CNN-Based Intention Recognition Using Body-Worn Inertial Measurement Units.	Flak Bajraktari, Nikolas Rokopf, Peter P. Pott
2023	Advancing Thyroid Pathologies Detection with Recurrent Neural Networks and Micro-FTIR Hyperspectral Imaging.	Matheus de Freitas Oliveira Baffa, Luciano Bachmann, Denise Maria Zezell, Thiago Martini Pereira, Thomas Martin Deserno, Joaquim Cezar Felipe
2023	Monte Carlo simulation-based analysis of unobtrusive PPG monitoring through clothes.	Idoia Badiola, Onno Linschmann, Lina Willms, Vladimir Blazek, Steffen Leonhardt, Markus J. Lken
2023	3D CATBraTS: Channel Attention Transformer for Brain Tumour Semantic Segmentation.	Rim El Badaoui, Ester Bonmati Coll, Aleka Psarrou, Barbara Villarini
2023	Classification Of Complicated Upper Limb Movements From Pre-movement EEG Signals Using STFT And Spectral Characteristics.	Ehsan Azam, Ali Hassan, Muhammad Abdul Basit Malik, Imran Khan Niazi

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