2 citations · 3 across the 11 of their papers we have counts for
11 papers
Shared Semantic Codebook Distillation for Unpaired Cross-Modal Medical Classification
Dillan Imans, Phuoc-Nguyen Bui, Duc-Tai Le +1
Cross-modal knowledge distillation can transfer diagnostic knowledge from a strong but costly teacher modality to a cheaper and more deployable student modality. In medical image a…
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…
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
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…
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…
Distributed Q-learning-based Shortest-Path Tree Construction in IoT Sensor Networks
Van-Vi Vo, Tien-Dung Nguyen, Duc-Tai Le +1
Efficient routing in IoT sensor networks is critical for minimizing energy consumption and latency. Traditional centralized algorithms, such as Dijkstra's, are computationally inte…
Curated Collaborative AI Edge with Network Data Analytics for B5G/6G Radio Access Networks
Sardar Jaffar Ali, Syed M. Raza, Duc-Tai Le +4
Despite advancements, Radio Access Networks (RAN) still account for over 50\% of the total power consumption in 5G networks. Existing RAN split options do not fully harness data po…
Multi-scale Feature Enhancement in Multi-task Learning for Medical Image Analysis
Phuoc-Nguyen Bui, Duc-Tai Le, Junghyun Bum +1
Traditional deep learning methods in medical imaging often focus solely on segmentation or classification, limiting their ability to leverage shared information. Multi-task learnin…
Regional Correlation Aided Mobile Traffic Prediction with Spatiotemporal Deep Learning
JeongJun Park, Lusungu J. Mwasinga, Huigyu Yang +5
Mobile traffic data in urban regions shows differentiated patterns during different hours of the day. The exploitation of these patterns enables highly accurate mobile traffic pred…
Minimal Sleep Delay Driven Aggregation Tree Construction in IoT Sensor Networks
Van-Vi Vo, Duc-Tai Le, Hyunseung Choo
Data aggregation is a fundamental technique in wireless sensor networks (WSNs) in which sensory data collected by intermediate nodes is merged by in-network computation using maxim…