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Found 3 papers, 3 papers with code
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data
Voxel-based multiple testing is widely used in neuroimaging data analysis.
BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation
Convolutional neural networks (CNNs) have achieved remarkable success in automatically segmenting organs or lesions on 3D medical images.
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks
Deep neural networks (DNNs) have achieved great success in image classification, but can be very vulnerable to adversarial attacks with small perturbations to images.
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