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	Safe and Effective Recommendation of Drug Combinations based on Matrix Co-Factorization.	Panagiotis Symeonidis, Luca Bellinazzi, ChemsEddine Berbague, Markus Zanker
2023	Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence.	Andrea M. Stors, Morten Magn, Fredrik A. Fineide, Bernd Thiede, Xiangjun Chen, Inga Strmke, Pl Halvorsen, Tor P. Utheim, Michael A. Riegler
2023	Identification of different functional hand grips using a sensor glove: reproducibility in healthy subjects.	Eva-Maria Stevens-Lefferts, Richard P. J. Geers, Evie Hout-Lring, Henk Seelen
2023	On the FPGA-Based Hardware Implementation of Digital Glucose Regulators for Type 2 Diabetic Patients.	Guido Di Patrizio Stanchieri, Andrea De Marcellis, Marco Faccio, Elia Palange, Mario Di Ferdinando, Stefano Di Gennaro, Pierdomenico Pepe
2023	Spread-Out Bragg Peak in Treatment Planning System by Mixed Integer Linear Programming: a Proof of Concept.	Matteo Spezialetti, Ramon Gimenez De Lorenzo, Giovanni Luca Gravina, Giuseppe Placidi, Fabrizio Rossi, Giorgio Russo, Stefano Smriglio, Francesca Vittorini, Filippo Mignosi
2023	Three-Dimensional Wound Reconstruction using Point Descriptors: A Comparative Study.	Jos R. A. Souto, Fellipe M. C. Barbosa, Bruno M. Carvalho
2023	Preventing Pressure Ulcers by Image based Posture Detection.	Ramin Soleimani, Dirk Pesch
2023	Man vs. AI: An in silico study of polyp detection performance.	Pia Helen Smedsrud, Hvard Espeland, Tor Jan Derek Berstad, Andreas Petlund, Thomas de Lange, Michael A. Riegler, Pl Halvorsen
2023	Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task Learning.	Arun Sivakumar, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob Furst, Daniela Stan Raicu
2023	Deep Learning based Diagnostic and Severity Assessment Framework for Lung Diseases using Chest Radiographs.	Anushikha Singh, Brejesh Lall, Bijaya K. Panigrahi, Anjali Agrawal, Anurag Agrawal, Balamugesh Thangakunam, D. J. Christopher
2023	Hemoglobin Estimation from Smartphone-Based Photoplethysmography with Small Data.	Diego F. Silva, Jos G. B. De M, Lucas V. Domingues, Thiago Mazzu-Nascimento
2023	A Real-Time Dual Heart and Respiratory Rate Estimator for Electrical Impedance Tomography.	Diogo Filipe Silva, Steffen Leonhardt
2023	ML-Peaks: CHIP-Seq Peak Detection Pipeline using Machine Learning Techniques.	Sajad Amouei Sheshkal, Michael Alexander Riegler, Hugo Lewi Hammer
2023	Tele-Mentoring Using Augmented Reality: A Feasibility Study to Assess Teaching of Laparoscopic Suturing Skills.	Dehlela Shabir, Shidin Balakrishnan, Jhasketan Padhan, Julien Abinahed, Elias Yaacoub, Amr Mohamed, Zhigang Deng, Abdulla Al-Ansari, Panagiotis Tsiamyrtzis, Nikhil V. Navkar
2023	Localization-Enhanced Voting-based Ensemble of Semantic Segmentation Models for Cervical Polyp Segmentation.	Norbert Serban, Balzs Harangi
2023	Networked multi-sensor rollator with AI-assisted fall detection.	Markus Schwarz, Vincent Gauda, Markus Kaiser, Henrik K. J. Kuttruff, Jonas Rentzsch, Maximilian Thr
2023	CardioBERTpt: Transformer-based Models for Cardiology Language Representation in Portuguese.	Elisa Terumi Rubel Schneider, Yohan Bonescki Gumiel, Joo Vitor Andrioli de Souza, Lilian Mie Mukai Cintho, Lucas Emanuel Silva e Oliveira, Marina de S Rebelo, Marco Antonio Gutierrez, Jos Eduardo Krieger, Douglas Teodoro, Claudia Maria Cabral Moro, Emerson Cabrera Paraiso
2023	Canonical Correlation Analysis of Transient EMG Data for Multi-User Motion Intent Detection.	Mara Scattolini, Andrea Tigrini, Federica Verdini, Sandro Fioretti, Alessandro Mengarelli
2023	Early Detection of Autism Spectrum Disorder through AI-Powered Analysis of Social Media Texts.	Sergio Rubio-Martn, Mara Teresa Garca-Ords, Martn Bayn-Gutirrez, Natalia Prieto-Fernndez, Jos Alberto Bentez-Andrades
2023	Periodontisis Evaluation through Automatic Teeth Detection and Segmentation from self-collected Smartphone Images.	Stefano Rosini, Serena Altamura, Davide Pietropaoli, Giuseppe Placidi, Matteo Polsinelli
2023	Symbolic Analysis of Heart-Rate Variability during Training and Competition in Short Distance Running.	Sofia Romagnoli, Agnese Sbrollini, Micaela Morettini, Laura Burattini
2023	Voice Emotion Recognition Based on Color Histogram Features.	Marcelo Marques da Rocha, Aura Conci, Dbora Christina Muchaluat-Saade
2023	Improving Deep Learning Shape Consistency with a New Loss Function for Left Ventricle Segmentation in Cardiac MRI.	Matheus Alberto de Oliveira Ribeiro, Marco A. Gutierrez, Ftima L. S. Nunes
2023	Stimming Behavior Dataset - Unifying Stereotype Behavior Dataset in the Wild.	Guilherme Ocker Ribeiro, Mateus Grellert, Jnata Tyska Carvalho
2023	Early prediction of the risk of ICU mortality with Deep Federated Learning.	Korbinian Randl, Nria Llads Armengol, Lena Mondrejevski, Ioanna Miliou

301–325 of 3,392← Previous Next →

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