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
Results show that simulated adverse weather substantially increases the difficulty of UAV-based vehicle ReID, reveals clear robustness differences among recent methods, and highlights the need for weather-aware model design and evaluation protocols in future aerial ReID research.
Vu Minh Tran, Khang Nguyen· 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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