Cross-domain and cross-scanner generalizability

Establish the generalizability of the attention-guided multi-scale super-resolution network to 4D flow MRI acquired with other scanners, field strengths, acquisition protocols, and vascular territories.

Background

All data used in the study were acquired at a single center with one scanner and one imaging protocol, and the experiments focused on carotid arteries. Consequently, it remains unresolved whether the reported performance transfers to different acquisition settings or anatomical vascular territories.

References

Third, all data were acquired at a single center with a single scanner and protocol, so the generalizability to other scanners, field strengths, and vascular territories has not been established.

— Attention-guided super-resolution of 4D flow MRI in carotid arteries  (2609.04891 - Mokhtari et al., 4 Sep 2026) in Section Results and Discussion, limitations paragraph

The Sewer-Capsule data set is relatively small and was collected using a specific inspection platform; therefore, the reported results may not fully represent generalization across different cities, pipe materials, defect standards, imaging conditions, and robotic systems.

— Vision Transformer-Based Multi-Level Feature Fusion for Multi-Label Sewer Defect Classification  (2609.11375 - Fang et al., 10 Sep 2026) in Section 7, Limitations and Future Work