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Qing-Shan Hou

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Sep 2026

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...

Wen-Ju Yang, Yu-Hao Cao, Juan Liu et al. · 0 citations
#artificial intelligence Preprint Apr 2025

Clinician-Friendly Foundation Models for Ophthalmic Image Diagnostics without Fine-Tuning or Technical Barriers

GlobeReady is developed, a deployment-oriented platform powered by the RetiGlobe model and local feature augmentation that evaluates domain generalisability, Bayesian uncertainty quantification, out-of-distribution (OOD) detection, and feature-based case retrieval in medical imaging diagnostics.

Meng Wang, Tian Lin, Qing-Shan Hou et al. · 1 citation
Aug 2026

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.

Zhi-Qiang Shen, Qing-Shan Hou, Peng Cao et al. · 0 citations

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