def METHOD_NAME(num_samples: int = 1):
    transforms = Compose(
        [
            LoadImaged(keys=["image", "label"], image_only=True),
            EnsureChannelFirstd(keys=["image", "label"]),
            Orientationd(keys=["image", "label"], as_closest_canonical=True),
            Spacingd(
                keys=["image", "label"], pixdim=[1.44423774, 1.44423774, 2.87368553], mode=["bilinear", "nearest"]
            ),
            RandRotated(
                keys=["image", "label"],
                range_x=0.5236,
                range_y=0.5236,
                range_z=0.5236,
                prob=0.2,
                mode=["bilinear", "nearest"],
                keep_size=False,
            ),
            RandZoomd(
                keys=["image", "label"],
                prob=0.2,
                min_zoom=0.7,
                max_zoom=1.4,
                mode=["trilinear", "nearest"],
                keep_size=False,
            ),
            NormalizeIntensityRanged(keys=["image"], a_min=-54.0, a_max=258.0, subtrahend=100.0, divisor=50.0),
            SpatialPadd(keys=["image", "label"], spatial_size=[224, 224, 64]),
            RandCropByPosNegLabeld(
                keys=["image", "label"],
                label_key="label",
                spatial_size=[224, 224, 64],
                pos=2.0,
                neg=1.0,
                num_samples=num_samples,
                image_key="image",
            ),
            RandGaussianNoised(keys=["image"], prob=0.15, mean=0.0, std=0.1),
            RandGaussianSmoothd(keys=["image"], sigma_x=[0.5, 1.5], sigma_y=[0.5, 1.5], sigma_z=[0.5, 1.5], prob=0.15),
            RandAdjustBrightnessAndContrastd(
                keys=["image"], probs=[0.15, 0.15], brightness_range=[0.7, 1.3], contrast_range=[0.65, 1.5]
            ),
            SimulateLowResolutiond(keys=["image"], prob=0.25, zoom_range=[0.5, 1.0]),
            RandAdjustContrastd(keys=["image"], prob=0.15, gamma=[0.8, 1.2]),
            RandInverseIntensityGammad(keys=["image"], prob=0.15, gamma=[0.8, 1.2]),
            RandFlipAxes3Dd(keys=["image", "label"], prob_x=0.50, prob_y=0.50, prob_z=0.50),
            EnsureTyped(keys=["image", "label"]),
        ]
    )
    return transforms