From the 1 of 12 linked papers with an AI index.
12 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…
Frequency Adapter with SAM for Generalized Medical Image Segmentation
Phuoc-Nguyen Bui, Van-Nguyen Pham, Duc-Tai Le +2
Medical image segmentation is a critical task in computer-aided diagnosis and treatment planning. However, deep learning models often struggle to generalize across datasets due to…
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