C. Dong

collaborators

4 papers

eess.IV2026

Uncertainty-Guided Dual-Domain Learning for Reliable Skin Lesion Segmentation

Duwei Dai, Caixia Dong, Guowei Dai +6

Accurate skin lesion segmentation is vital for dermoscopic Computer-Aided Diagnosis. However, visual ambiguity and morphological irregularity often defeat spatial modeling, necessi…

hep-ex2026

Measurement of the local and nonlocal amplitudes in $B^{+} \to K^{+} I^¼^{+} I^¼^{-}$ decays

LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1187

This paper presents a thorough study of the local and nonlocal amplitudes in $B^{+} \to K^{+} I^¼^{+} I^¼^{-}$ transitions through an amplitude analysis of the dimuon mass spectrum of the deca…

cs.CV2025

Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel

Siqi Chen, Guoqing Zhang, Jiahao Lai +5

Advancements in 3D vision have increased the impact of blood vessel modeling on medical applications. However, accurately representing the complex geometry and topology of blood ve…

eess.IV2025

Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion

Caixia Dong, Duwei Dai, Xinyi Han +4

Accurate coronary artery segmentation is critical for computeraided diagnosis of coronary artery disease (CAD), yet it remains challenging due to the small size, complex morphology…

Uncertainty-Guided Dual-Domain Learning for Reliable Skin Lesion Segmentation

Measurement of the local and nonlocal amplitudes in B+→K+I^¼+I^¼− decays

Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel

Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion

Measurement of the local and nonlocal amplitudes in $B^{+} \to K^{+} I^¼^{+} I^¼^{-}$ decays