arXiv AI October 27, 2026 By Amin Golnari, Saeid Sanei

StaX-Net: Stackelberg Interleaved Asymmetric Network for Cross-Modality Medical Image Translation

StaX-Net is a Stackelberg interleaved asymmetric network designed for cross‑modality medical image translation. It uses a partially coupled encoder‑discriminator structure and a 2D feature aggregation and spatial transformation (FAST) layer to incorporate target‑supervised priors under a learning‑using‑privileged‑information paradigm. The architecture includes shared blocks for feature alignment and a Stackelberg‑inspired asymmetric optimization scheme with shared‑parameter freezing and asymmetric learning rates to stabilize training, while the FAST layer applies a source‑only transform at inference to constrain synthesis with target‑informed representations.

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