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
2021	Motor Imagery EEG Signal Classification based on Deep Transfer Learning.	Mingnan Wei, Rui Yang, Mengjie Huang
2021	Evaluating a Longitudinal Synthetic Data Generator using Real World Data.	Zhenchen Wang, Puja Myles, Anu Jain, James L. Keidel, Roberto Liddi, Lucy Mackillop, Carmelo Velardo, Allan Tucker
2021	FIRE: Unsupervised bi-directional inter- and intra-modality registration using deep networks.	Chengjia Wang, Guang Yang, Giorgos Papanastasiou
2021	3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities.	Barbara Villarini, Hykoush A. Asaturyan, Sila Kurugol, Onur Afacan, Jimmy D. Bell, E. Louise Thomas
2021	Visual interpretation of CNN decision-making process using Simulated Brain MRI.	Edouard Villain, Giulia Maria Mattia, Federico Nemmi, Patrice Pran, Xavier Franceries, Marie-Vronique Le Lann
2021	Optimized alpha band patterns correlated with trait anxiety.	Carmen Vidaurre, Vadim V. Nikulin, Mara Herrojo Ruiz
2021	Comparative and Behavioural Analysis of a Diffuse Paradigm for the Evaluation of Diabetic Macular Edema in OCT images.	Plcido L. Vidal, Joaquim de Moura, Macarena Daz, Jorge Novo, Marcos Ortega
2021	A Meta-Path-Based Prediction Method for Disease Comorbidities.	Eduardo P. Garca del Valle, Luca Prieto Santamara, Gerardo Lagunes Garca, Massimiliano Zanin, Ernestina Menasalvas Ruiz, Alejandro Rodrguez Gonzlez
2021	Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data.	Vishnu Unnikrishnan, Yash Shah, Miro Schleicher, Carlos Fernndez-Viadero, Mirela Strandzheva, Doroteya Velikova, Plamen Dimitrov, Rdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou
2021	Juxtaposing 5G Coronavirus Tweets with General Coronavirus Tweets During the Early Months of Coronavirus Outbreak.	Rafi Trad, Myra Spiliopoulou
2021	An End-to-End 3D ConvLSTM-based Framework for Early Diagnosis of Alzheimer's Disease from Full-Resolution Whole-Brain sMRI Scans.	Selene Tomassini, Nicola Falcionelli, Paolo Sernani, Henning Mller, Aldo Franco Dragoni
2021	Towards Semantic-Awareness for Information Management and Planning in Health Dialogues.	Milene Santos Teixeira, Vincius Maran, Mauro Dragoni
2021	Recommending What Drug to Prescribe Next for Accurate and Explainable Medical Decisions.	Panagiotis Symeonidis, Stergios Chairistanidis, Markus Zanker
2021	Treatment Recommendations for COVID-19 Patients along with Robust Explanations.	Panagiotis Symeonidis, Christos Andras, Markus Zanker
2021	Patient Trajectory Modelling in Longitudinal Data: A Review on Existing Solutions.	Joo Figueira Silva, Srgio Matos
2021	An intelligent drug delivery system for neuromuscular blockade in healthcare.	Jorge Alves Silva, Teresa Mendona, Paula Rocha
2021	Supporting IoT-based applications to combat the Aedes aegypti mosquito: a case in Brazil.	Henrique de A. Silva, Elias Adriano, Denise Scatolini, Rosana T. Vaccare Braga
2021	Representation and Knowledge Transfer for Health-related Rumour Detection.	Rosa Sicilia, Luisa Francini, Paolo Soda
2021	User-centric vs whole-stream learning for EMA prediction.	Saijal Shahania, Vishnu Unnikrishnan, Rdiger Pryss, Robin Kraft, Johannes Schobel, Ronny Hannemann, Winny Schlee, Myra Spiliopoulou
2021	A Comparative Analysis of Data Platforms for Rare Diseases.	Mariana Sequeira, Joo Rafael Almeida, Jos Lus Oliveira
2021	A GPT-2 Language Model for Biomedical Texts in Portuguese.	Elisa Terumi Rubel Schneider, Joo Vitor Andrioli de Souza, Yohan Bonescki Gumiel, Claudia M. C. Moro, Emerson Cabrera Paraiso
2021	Ret-GAN: Retinal Image Enhancement using Generative Adversarial Networks.	KC Santosh, Sourodip Ghosh, Moinak Bose
2021	Analysing Games for Health through Users' Opinion Mining.	Renato Santos, Joel P. Arrais, Paula Alexandra Silva
2021	Optimizing Recurrent Neural Network Architectures for De Novo Drug Design.	Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel P. Arrais
2021	A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation.	Ahmed M. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Polyxeni Gkontra, Karim Lekadir, Gloria Menegaz, Petia Radeva

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Other A*/A conferences filed under the same field of research.