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
2019	Transforming Unstructured Clinical Free-Text Corpora into Reconfigurable Medical Digital Collections.	Flix Buenda, Joaqun Gayoso-Cabada, Juan Antonio Juanes Mndez, Jos-Luis Sierra
2019	Biofeedback in Breast Cancer Rehabilitation: Applying the WHO ICF Core Set to Identify Opportunities and Recommendations.	Louise Brennan, Enrique Dorronzoro Zubiete, Brian Caulfield
2019	Haemodialysis Electronic Patient Portal: A Design Requirements Analysis and Feasibility Study with Domain Experts.	Matt-Mouley Bouamrane, Ramsay Meiklem, Mark D. Dunlop, David B. Kingsmore, Peter Thomson, Karen Stevenson, Sharon Greenwood
2019	Low-Cost EDA Device for Screening Diabetic Neuropathy.	Luis Daniel Bolaos, Jose Mara Vicente-Samper, David Zambrana Vinaroz, Oscar Andres Vivas, Vicente Esteve Sala, Jos Mara Sabater-Navarro
2019	Meaningful Integration of Data, Analytics and Services of Computer-Based Medical Systems: The MIDAS Touch.	Michaela M. Black, Jonathan G. Wallace, Debbie Rankin, Paul Carlin, Raymond R. Bond, Maurice D. Mulvenna, Brian Cleland, Scott Fischaber, Gorka Epelde, Gorana Nikolic, Juha Pajula, Regina Connolly
2019	Privacy in Mobile Health Applications for Breast Cancer Patients.	Jaime Benjumea, Enrique Dorronzoro, Jorge Ropero, Octavio Rivera Romero, Alejandro Carrasco
2019	Visualizing Structures in Confocal Microscopy Datasets Through Clusterization: A Case Study on Bile Ducts.	Lizeth Andrea Castellanos Beltran, Carolina Uribe Cruz, Jorge Luiz dos Santos, Pranavkumar Shivakumar, Jorge A. Bezerra, Carla Maria Dal Sasso Freitas
2019	Systematic Approach and Tools for Migrating from Text-Based Reports to Structured Reports: Based on the DICOM Structured Reporting Guidelines.	Eduardo Beckhauser, Vincius Andreli Petrolini, Alexandre Savaris, Aldo von Wangenheim, Dirk Krechel
2019	Infection Diagnosis using Biomedical Signals in Small Data Scenarios.	Alejandro Baldominos, Hasan Ogul, Ricardo Colomo-Palacios
2019	Hierarchical Visualization of Co-Occurrence Patterns on Diagnostic Data.	Jos Luis Balczar, Marie Ely Piceno, Laura Rodrguez-Navas
2019	Digitizing the Informed Consent: the Challenges to Design for Practices.	Michela Assale, Erica Barbero, Federico Cabitza
2019	A Comparative Study of Feature Selection Methods on Genomic Datasets.	Javad Rahimipour Anaraki, Hamid Usefi
2019	Detecting Relative Changes in Circulating Blood Volume using Ultrasound and Simulation.	Javad Rahimipour Anaraki, Saeed Samet, Mohamed S. Shehata, Kris Aubrey-Bassler, Ebrahim Karami, Saba Samet, Andrew Smith
2019	Latent Class Multi-Label Classification to Identify Subclasses of Disease for Improved Prediction.	Awad Alsaid Alyousef, Svetlana I. Nihtyanova, Christopher P. Denton, Pietro Bosoni, Riccardo Bellazzi, Allan Tucker
2019	GenericCDSS - A Generic Clinical Decision Support System.	Joo Rafael Duarte de Almeida, Jos Lus Oliveira
2019	Spectral Analysis of Hand Tremors Induced During a Fatigue Test.	Lilia Aljihmani, Yibo Zhu, Hasan T. Abbas, Ranjana K. Mehta, Farzan Sasangohar, Madhav Erraguntla, Qammer H. Abbasi, Khalid A. Qaraqe
2019	Mob-EEG: A User-Centered Design for Wireless Electroencephalogram in Intensive Care Units.	Sofa Ahufinger, Elas Pequeo, Pilar Herrero
2019	3D Brain Connectivity Visualization for Medical Systems.	Sofa Ahufinger, Pilar Herrero
2019	Predicting Diabetes in Healthy Population through Machine Learning.	Hasan T. Abbas, Lejla Alic, Marelyn Rios, Muhammad Abdul-Ghani, Khalid A. Qaraqe
2019	Risk Prediction as a Service: a DSS Architecture Promoting Interoperability and Collaboration.	Stefano Mariani, Franco Zambonelli, kos Tnyi, Isaac Cano, Josep Roca
2019	Exploit Hierarchical Label Knowledge for Deep Learning.	Francesco Gargiulo, Stefano Silvestri, Mario Ciampi
2018	Uncertainty in Noise-Driven Steady-State Neuromorphic Network for ECG Data Classification.	Amir Zjajo, Johan Mes, Eralp Kolagasioglu, Sumeet S. Kumar, Rene van Leuken
2018	Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks.	Leila Yousefi, Allan Tucker, Mashael Al-Luhaybi, Lucia Sacchi, Riccardo Bellazzi, Luca Chiovato
2018	Gender Detection from Spine X-Ray Images Using Deep Learning.	Zhiyun Xue, Sivaramakrishnan Rajaraman, L. Rodney Long, Sameer K. Antani, George R. Thoma
2018	Development and Validation of a Virtual Reality Tutor to Teach Clinically Oriented Surgical Anatomy of the Ear.	Sudanthi N. R. Wijewickrema, Bridget Copson, Xingjun Ma, Robert Briggs, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary

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