Multimodal medical data provide complementary information for cancer diagnosis and prognosis; however, effectively integrating heterogeneous modalities remains challenging because real-world clinical datasets frequently contain incomplete modality observations. We present a unified benchmarking framework for multimodal...
Nhu Le Nguyen Quynh, Phuong Nguyen Ngoc Thanh, Tuan Le et al.· International Conference on...· 0 citations
This work integrates selective State Space Model mechanisms from Mamba and three approximate self-attention methods, including Longformer, LongNet, and Nyströmformer, into a regularization-based reconstruction network that enables efficient modeling of long-range dependencies using modern sequence-processing architectu...
D. C. Bui, Duc-Thanh Le, Khang Nguyen· Machine Vision and Applicati...· 0 citations
Unsupervised Domain Adaptation (UDA) for object detection remains challenging under adverse weather due to significant distribution shifts. While recent Vision Foundation Model (VFM) based methods show promise, they often encounter limitations in extreme domain gaps and pseudo-label noise. This paper proposes two enhan...
T. Doan, D. C. Bui, Khanh-Duy Nguyen et al.· International Conference on...· 0 citations
Experiments on AAPM and DeepLesion under multiple sparse-view and noise settings show that CG-GLORE achieves strong quantitative performance, stable convergence, lower noise power, and improved visual fidelity compared with representative reconstruction methods.
Tran Xuan Hieu Le, D. C. Bui, V. Le et al.· 0 citations
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