Neuralizer: 通用神经影像分析无需重新训练（英文版）

英文标题：Neuralizer: General Neuroimage Analysis without Re-Training中文摘要：Neuralizer 是一种单模型深度学习方法，可在推理期间一次正向传递中泛化到以前未见过的神经影像处理任务和模态，可跨多种图像模式、采集方法和数据集解决处理任务.英文摘要：Neuroimage processing tasks like segmentation, reconstruction, andregistration are central to the study of neuroscience. Robust deep learningstrategies and architectures used to solve these tasks are often similar. Yet,when presented with a new task or a dataset with different visualcharacteristics, practitioners most often need to train a ne