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	Inferring Salient Motifs during Learning Experiments.	Noor Jamaludeen, Felix Kuhn, Andr Brechmann, Falko Fuhrmann, Stefan Remy, Myra Spiliopoulou
2023	Effect of incorporating metadata to the generation of synthetic time series in a healthcare context.	Imanol Isasa, Mikel Hernandez, Gorka Epelde, Francisco Londoo, Andoni Beristain, Ane Alberdi, Panagiotis D. Bamidis, Evdokimos I. Konstantinidis
2023	The mHealth ALIBIRD Platform: Supporting Cancer Patient Treatment and Follow-up.	Jose M. Iniesta-Chamorro, Mara Sereno-Moyano, Beatriz Garrido-Rubiales, Victoria Moreno-Arribas, Ana Ramrez de Molina, M. Elena Hernando Prez, Guillermo Reglero, Enrique Casado, Enrique J. Gmez
2023	Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples Identification.	Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof
2023	Towards an Architecture for Collecting a Multidimensional Glioblastoma Dataset.	Daniel Hieber, Georg Prokop, Maximilian Karthan, Felix Holl, Hans A. Kestler, Gregor Grambow, Bruno Mrkl, Rdiger Pryss, Friederike Liesche-Starnecker, Johannes Schobel
2023	Clinician's perspective on trusting Patient Generated Health Data for use in clinical decision-making: A qualitative interview study.	Lucy Hederman, Damon Berry, Alfredo Ormazabal
2023	Comparison of deep learning architectures for colon cancer mutation detection.	Robin Heckenauer, Jonathan Weber, Cdric Wemmert, Caroline Truntzer, Valentin Derangre, Franois Ghiringhelli, Michel Hassenforder, Pierre-Alain Muller, Germain Forestier
2023	Deep Learning Based Detection of Collateral Circulation in Coronary Angiographies.	Cosmin-Andrei Hatfaludi, Daniel Bunescu, Costin Florian Ciusdel, Alex Serban, Karl Bse, Marc Oppel, Stephanie Schrder, Christopher Seehase, Harald F. Langer, Jeanette Erdmann, Henry Nording, Lucian Mihai Itu
2023	Impact of Activities in Daily Living on Electrical Bioimpedance Measurements for Bladder Monitoring.	Abdelakram Hafid, Saad Abdullah, Maria Lindn, Annica Kristoffersson, Mia Folke
2023	Motor Imagery Classification Enhancement using Generative Adversarial Networks for EEG Spectrum Image Generation.	Ahmed G. Habashi, Ahmed M. Azab, Seif Eldawlatly, Gamal M. Aly
2023	A Multimodal Image Registration System for Histology Images.	Rodrigo Escobar Daz Guerrero, Yubraj Gupta, Thomas Bocklitz, Jos Lus Oliveira
2023	Clustering-based Pattern Discovery in Lung Cancer Treatments.	Daniel Gmez-Bravo, Aaron Garca, Guillermo Vigueras, Beln Ros-Snchez, Alejandra Prez-Garca, Vanessa Ospina, Mara Torrente, Ernestina Menasalvas, Mariano Provencio, Alejandro Rodrguez Gonzlez
2023	The Generation of Standardized e-Learning Content Packages from Interoperable FHIR Clinical Cases.	Flix Buenda Garca, Joaqun Gayoso-Cabada, Jaime Gonzlez Daz, Sergio Guez-Molinos, Jos Luis Sierra-Rodrguez
2023	Structuring Breast Cancer Spanish Electronic Health Records Using Deep Learning.	Alvaro Garcia-Barragn, Oswaldo Solarte Pabn, Georgiy Nedostup, Mariano Provencio, Ernestina Menasalvas, Victor Robles
2023	Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence.	Fredrik A. Fineide, Andrea M. Stors, Michael A. Riegler, Tor Paaske Utheim
2023	Unsupervised Prostate Cancer Histopathology Image Segmentation via Meta-Learning.	Nikolai Fetisov, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath
2023	Human body odour modulates neural processing of faces: effective connectivity analysis using EEG.	Saideh Ferdowsi, Dimitri Ognibene, Tom Foulsham, Alberto Greco, Alejandro Luis Callara, Sergio Cervera-Torres, Mariano Alcaiz, Nicola Vanello, Luca Citi
2023	A Comparative Study Between Paired And Unpaired Image Quality Assessment In Low-Dose CT Denoising.	Francesco Di Feola, Lorenzo Tronchin, Paolo Soda
2023	SACA-UNet:Medical Image Segmentation Network Based on Self-Attention and ASPP.	Gaojuan Fan, Jie Wang, Chongsheng Zhang
2023	Automated Design of Task-Dedicated Illumination with Particle Swarm Optimization.	Austin Ryan English
2023	Task-oriented arm training for stroke patients based on remote handling technology concepts: Results of a pilot study.	Jule Elmanowski, Melanie Kleynen, Richard P. J. Geers, Jeroen P. A. Verbunt, Henk Seelen
2023	Deep Coordinate Regression for Weakly Supervised Segmentation of the Locus Coeruleus in MRI.	Max Dnnwald, Philipp Ernst, Emrah Dzel, Klaus Tnnies, Matthew J. Betts, Andreas Nrnberger, Steffen Oeltze-Jafra
2023	Live Births Prediction using Legendre Memory Unit: A Case Study for the Health Regions of Gois.	Gabriela Kaori Digenes, Arthur Ricardo de Sousa Vitria, Diogo Fernandes Costa Silva, Daniel do Prado Pagotto, Rafael Teixeira Sousa, Arlindo Rodrigues Galvo Filho
2023	A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical Interviews.	Mamadou Dia, Ghazaleh Khodabandelou, Alice Othmani
2023	Analysis of Semantic Drifting in Diagnostic Texts for Sleep Disorders.	Yihan Deng, Julia van der Meer, Athina Tzovara, Markus H. Schmidt, Claudio L. A. Bassetti, Kerstin Denecke

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