8 papers
Shared Semantic Codebook Distillation for Unpaired Cross-Modal Medical Classification
Dillan Imans, Phuoc-Nguyen Bui, Duc-Tai Le +1
The paper introduces Shared Semantic Codebook Distillation, a method that transfers diagnostic knowledge between unpaired medical imaging modalities by representing images with a c…
Response-Aware Multimodal Learning for Post-Treatment Visual Acuity Forecasting
Phuoc-Nguyen Bui, Van-Vi Vo, Duc-Tai Le +5
Long-term visual acuity (VA) outcomes after anti-VEGF therapy are central to patient counseling, expectation setting, and follow-up planning in diabetic macular edema (DME). Howeve…
Representation Learning with Semantic-aware Instance and Sparse Token Alignments
Phuoc-Nguyen Bui, Toan Duc Nguyen, Junghyun Bum +2
Medical contrastive vision-language pre-training (VLP) has demonstrated significant potential in improving performance on downstream tasks. Traditional approaches typically employ…
Clinical Graph-Mediated Distillation for Unpaired MRI-to-CFI Hypertension Prediction
Dillan Imans, Phuoc-Nguyen Bui, Duc-Tai Le +1
Retinal fundus imaging enables low-cost and scalable hypertension (HTN) screening, but HTN-related retinal cues are subtle, yielding high-variance predictions. Brain MRI provides s…
Unsupervised Domain Adaptation with SAM-RefiSeR for Enhanced Brain Tumor Segmentation
Dillan Imans, Phuoc-Nguyen Bui, Duc-Tai Le +1
Unsupervised Domain Adaptation with SAM-RefiSeR for Enhanced Brain Tumor Segmentation
Q-Learning-Based Time-Critical Data Aggregation Scheduling in IoT
Van-Vi Vo, Tien-Dung Nguyen, Duc-Tai Le +1
Time-critical data aggregation in Internet of Things (IoT) networks demands efficient, collision-free scheduling to minimize latency for applications like smart cities and industri…