prostate/vsharp_modconv_features_triang.yaml

model:
    model_name: vsharp.vsharp.VSharpNet
    num_steps: 12
    num_steps_dc_gd: 10
    image_init: SENSE
    no_parameter_sharing: true
    auxiliary_steps: -1
    image_model_architecture: UNET
    initializer_channels:
        - 32
        - 32
        - 64
        - 64
    initializer_dilations:
        - 1
        - 1
        - 2
        - 4
    initializer_multiscale: 1
    initializer_activation: PRELU
    conv_modulation: FEATURES
    aux_in_features: 2
    log_aux: true
    fc_hidden_features:
        - 32
        - 32
    fc_groups: 1
    fc_activation: SOFTPLUS
    modulation_at_input: false
    image_unet_num_filters: 32
    image_unet_num_pool_layers: 4
    image_unet_dropout: 0.0
    image_unet_norm_type: INSTANCE
additional_models:
    sensitivity_model:
        model_name: unet.unet_2d.UnetModel2d
        in_channels: 2
        out_channels: 2
        num_filters: 16
        num_pool_layers: 4
        dropout_probability: 0.0
        conv_out_bias: false
physics:
    forward_operator: fft2
    backward_operator: ifft2
inference:
    batch_size: 1
    crop: header
    dataset:
        name: FastMRI
        transforms:
            use_seed: true
            delete_kspace: false
            masking:
                name: FastMRIEquispaced
                accelerations:
                    - 4
                center_fractions:
                    - 0.08
            cropping:
                image_center_crop: false
            sensitivity_map_estimation:
                estimate_sensitivity_maps: true
            normalization:
                scaling_key: masked_kspace
                scale_percentile: 0.995