8 papers
Iterative LLM-based improvement for French Clinical Interview Transcription and Speaker Diarization
Ambre Marie, Thomas Bertin, Guillaume Dardenne +1
Automatic speech recognition for French medical conversations remains challenging, with word error rates often exceeding 30% in spontaneous clinical speech. This study proposes a m…
Constrained latent state modeling: A unifying perspective on representation learning under competing constraints
Gwenolé Quellec
Learning latent representations from complex data is central to modern machine learning, spanning temporal, multimodal, and partially observed systems. In such settings, representa…
Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO Challenge
Rachid Zeghlache, Ikram Brahim, Pierre-Henri Conze +47
The MARIO challenge, held at MICCAI 2024, focused on advancing the automated detection and monitoring of age-related macular degeneration (AMD) through the analysis of optical cohe…
Acoustic and Machine Learning Methods for Speech-Based Suicide Risk Assessment: A Systematic Review
Ambre Marie, Marine Garnier, Thomas Bertin +4
Suicide remains a public health challenge, necessitating improved detection methods to facilitate timely intervention and treatment. This systematic review evaluates the role of Ar…
Patch Progression Masked Autoencoder with Fusion CNN Network for Classifying Evolution Between Two Pairs of 2D OCT Slices
Philippe Zhang, Weili Jiang, Yihao Li +13
Age-related Macular Degeneration (AMD) is a prevalent eye condition affecting visual acuity. Anti-vascular endothelial growth factor (anti-VEGF) treatments have been effective in s…
Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset
Ambre Marie, Ilias Maoudj, Guillaume Dardenne +1
The 1st SpeechWellness Challenge conveys the need for speech-based suicide risk assessment in adolescents. This study investigates a multimodal approach for this challenge, integra…