S. Vedantham

Channel-guided image-adaptive CNN for task-aware denoising in medical imaging

Medical image denoising with convolutional neural networks (CNNs) is commonly formulated as a pixel-wise regression problem, without explicitly accounting for information needed by downstream clinical tasks. As a result, conventional CNN denoisers may suppress weak but task-relevant image features while reducing noise....