https://dl4bbda2025.sciencesconf.org/

Overview

Due to growing innovations in the biomedical research field, substantial huge volumes of data are generated needing to be explored, analyzed and processed using advanced algorithms and techniques. In artificial intelligence, Deep learning (DL) has received a great attention to solve difficult and complex problems in various domains. Its ability to train learning models for large-volume data as well as their performances compared to conventional machine learning algorithms, as made it a major asset. This workshop aims to present and discuss the recent advances in deep learning for biomedical data analysis and processing. It is an opportunity to bring together academic and industrial scientists to discuss recent advances.

Topics of interest include, but are not limited to, the following:

– DL for biomedical signal analysis and processing (e.g., EEG, EMG, ECG, EOG, …)
– DL for medical image analysis and processing (e.g., CT, MRI, fMRI, PET, SPECT, DTI, …)
– DL for diseases detection and diagnosis (e.g., Epileptic seizure, Alzheimer, Sleep disorders, …)
– DL for pandemics detection and forecasting
– DL for biometrics
– DL in biomedical engineering
– DL for health informatics (healthcare, e-health, m-health, telehealth, …)
– DL for brain-computer interfaces
– DL for neural rehabilitation engineering
– Generative AI in biomedical research
– Related applications

Important Dates

Oct. 26, 2025 (11:59 pm CST): Due date for full workshop papers submission
Nov. 15, 2025: Notification of paper acceptance to authors
Nov. 23, 2025: Camera-ready of accepted papers
Dec 8-11, 2025: Workshops