| H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes |
151 |
| Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss |
132 |
| DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction |
126 |
| A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction |
119 |
| Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning |
81 |
| MoDL: Model-Based Deep Learning Architecture for Inverse Problems |
76 |
| CE-Net: Context Encoder Network for 2D Medical Image Segmentation |
73 |
| Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss |
72 |
| Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? |
72 |
| Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation |
72 |
| Deep Generative Adversarial Neural Networks for Compressive Sensing MRI |
69 |
| Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT |
62 |
| Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation |
61 |
| Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks |
61 |
| Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction |
60 |
| Learned Primal-Dual Reconstruction |
53 |
| 3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network |
50 |
| End-to-End Adversarial Retinal Image Synthesis |
49 |
| Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network |
44 |
| Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT |
42 |
| Convolutional Neural Network Based Metal Artifact Reduction in X-Ray Computed Tomography |
42 |
| VoxelMorph: A Learning Framework for Deformable Medical Image Registration |
40 |
| Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography |
38 |
| Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep Learning |
35 |
| Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions |
35 |
| LEARN: Learned Experts' Assessment-Based Reconstruction Network for Sparse-Data CT |
34 |
| CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction |
33 |
| Motion Tracking of the Carotid Artery Wall From Ultrasound Image Sequences: a Nonlinear State-Space Approach |
33 |
| Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map |
31 |
| Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image |
31 |
| Iterative PET Image Reconstruction Using Convolutional Neural Network Representation |
31 |
| Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training |
30 |
| Fully Convolutional Architectures for Multiclass Segmentation in Chest Radiographs |
30 |
| HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation |
30 |
| Attention Residual Learning for Skin Lesion Classification |
28 |
| Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems |
27 |
| Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting |
27 |
| Deep D-Bar: Real-Time Electrical Impedance Tomography Imaging With Deep Neural Networks |
27 |
| Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets |
26 |
| Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification |
25 |
| Multimodal MR Synthesis via Modality-Invariant Latent Representation |
24 |
| DRINet for Medical Image Segmentation |
24 |
| Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography |
24 |
| A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution |
23 |
| Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT |
23 |
| Image Synthesis in Multi-Contrast MRI With Conditional Generative Adversarial Networks |
22 |
| Deep Neural Networks for Ultrasound Beamforming |
22 |
| Image Reconstruction in Electrical Impedance Tomography Based on Structure-Aware Sparse Bayesian Learning |
22 |
| Automated Chest X-Ray Screening: Can Lung Region Symmetry Help Detect Pulmonary Abnormalities? |
21 |
| Tumor Detection in Automated Breast Ultrasound Using 3-D CNN and Prioritized Candidate Aggregation |
21 |
