2 citations · 2 across the 15 of their papers we have counts for
15 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…
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…
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…
Attn-Adapter: Attention Is All You Need for Online Few-shot Learner of Vision-Language Model
Phuoc-Nguyen Bui, Khanh-Binh Nguyen, Hyunseung Choo
Contrastive vision-language models excel in zero-shot image recognition but face challenges in few-shot scenarios due to computationally intensive offline fine-tuning using prompt…
Accelerating Conditional Prompt Learning via Masked Image Modeling for Vision-Language Models
Phuoc-Nguyen Bui, Khanh-Binh Nguyen, Hyunseung Choo
Vision-language models (VLMs) like CLIP excel in zero-shot learning but often require resource-intensive training to adapt to new tasks. Prompt learning techniques, such as CoOp an…
Adaptive Cache Enhancement for Test-Time Adaptation of Vision-Language Models
Khanh-Binh Nguyen, Phuoc-Nguyen Bui, Hyunseung Choo +1
Vision-language models (VLMs) exhibit remarkable zero-shot generalization but suffer performance degradation under distribution shifts in downstream tasks, particularly in the abse…
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…
Cross Feature Fusion of Fundus Image and Generated Lesion Map for Referable Diabetic Retinopathy Classification
Dahyun Mok, Junghyun Bum, Le Duc Tai +1
Diabetic Retinopathy (DR) is a primary cause of blindness, necessitating early detection and diagnosis. This paper focuses on referable DR classification to enhance the applicabili…
Deep UAV Path Planning with Assured Connectivity in Dense Urban Setting
Jiyong Oh, Syed M. Raza, Lusungu J. Mwasinga +2
Unmanned Ariel Vehicle (UAV) services with 5G connectivity is an emerging field with numerous applications. Operator-controlled UAV flights and manual static flight configurations…
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…