Osmar R. Zaiane

LabCora: label correlation-aware semi-supervised multi-label medical image classification.

MDSNet: Exploring Refined Speech Representations for Screening Mental Disorders.

Speech-based mental disorder screening (SMS) is hindered by the scarcity of labeled training data. Although self-supervised learning (SSL) can alleviate this limitation by leveraging unlabeled speech, the general representations learned by existing SSL methods often contain unhelpful redundancies and are not well adapt...

Multiagent Large Language Model Framework for Psychotherapy Fidelity Assessment in Motivational Interviewing and Cognitive Behavioral Therapy Training: Cross-Sectional, Simulation-Based Evaluation Study

This proof-of-concept study suggests that a rubric-guided multiagent LLM framework can score stylized synthetic MI and CBT transcripts along expected prompt-defined competence gradients and align with preliminary external and human-rater benchmarks.

Segmentation-synthesis co-training for semi-supervised domain generalizable medical image segmentation

ReMatch is introduced, a segmentation-synthesis co-training framework for semi-supervised domain generalization in medical image segmentation that Synthesizes unlabeled images with both high semantic consistency and style diversity by leveraging Texture and Shape features derived from the segmentation process.