Ieee Transactions On Medical Imaging高引用文章

• H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes

  引用次数：151

• Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss

  引用次数：132

• DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction

  引用次数：126

• A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

  引用次数：119

• Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

  引用次数：81

• MoDL: Model-Based Deep Learning Architecture for Inverse Problems

  引用次数：76

• CE-Net: Context Encoder Network for 2D Medical Image Segmentation

  引用次数：73

• Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss

  引用次数：72

• Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

  引用次数：72

• Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation

  引用次数：72