An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis
Published in MICCAI, 2023
Recommended citation: Han, L., Zhang, T., Hunag, Y. et al. (2023). "An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis." MICCAI. https://doi.org/10.1007/978-3-031-43999-5_5
We propose an explainable task-specific synthesis network, which adapts weights automatically for specific sequence generation tasks and provides interpretability and reliability from two sides: (1) visualize and quantify the contribution of each input sequence in the fusion stage by a trainable task-specific weighted average module; (2) highlight the area the network tried to refine during synthesizing by a task-specific attention module.
Recommended citation: Han, L., Zhang, T., Hunag, Y. et al. (2023). “An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis” MICCAI.