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DAFNet schematic in an LGE segmentation exemplar task using LGE and cine-MR inputs. Firstly, disentangled anatomical factors are extracted from the inputs. Then, they are aligned (with a Spatial Transformer [2]) and combined to a fused anatomy that infers the final LGE segmentation. Our approach can use multi-input (multimodal) data at training and inference. The latter is extremely useful when training with zero annotations for an input and also in removing outliers.
