| Weaving Attention U-net: A Novel Hybrid CNN and Attention-based Method for Organs-at-risk Segmentation in Head and Neck CT Images | Jul 10, 2021 | Computed Tomography (CT)Organ Segmentation | —Unverified | 0 |
| Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images | Jul 8, 2021 | GPUOrgan Segmentation | —Unverified | 0 |
| More than Encoder: Introducing Transformer Decoder to Upsample | Jun 20, 2021 | DecoderImage Segmentation | —Unverified | 0 |
| A multi-stage GAN for multi-organ chest X-ray image generation and segmentation | Jun 9, 2021 | Data AugmentationImage Generation | —Unverified | 0 |
| Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation | May 17, 2021 | Contrastive LearningImage Segmentation | —Unverified | 0 |
| Evaluating the Robustness of Self-Supervised Learning in Medical Imaging | May 14, 2021 | Organ SegmentationPneumonia Detection | —Unverified | 0 |
| SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation | May 14, 2021 | Generative Adversarial NetworkImage Generation | —Unverified | 0 |
| Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model | Apr 27, 2021 | DenoisingMedical Image Analysis | CodeCode Available | 0 |
| Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation | Mar 30, 2021 | Medical Image AnalysisOne-Shot Segmentation | —Unverified | 0 |
| Uncertainty-aware Incremental Learning for Multi-organ Segmentation | Mar 9, 2021 | EthicsIncremental Learning | —Unverified | 0 |
| Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets | Mar 8, 2021 | Incremental LearningOrgan Segmentation | —Unverified | 0 |
| Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative Study | Jan 25, 2021 | Image SegmentationLiver Segmentation | CodeCode Available | 0 |
| RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior | Dec 23, 2020 | Organ SegmentationSegmentation | CodeCode Available | 0 |
| Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation | Dec 16, 2020 | Image SegmentationMedical Image Analysis | —Unverified | 0 |
| Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data | Nov 28, 2020 | Data AugmentationImage Segmentation | —Unverified | 0 |
| Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation | Nov 19, 2020 | Few-Shot LearningImage Segmentation | —Unverified | 0 |
| Self-Supervised Learning Based on Spatial Awareness for Medical Image Analysis | Aug 30, 2020 | Medical Image AnalysisOrgan Segmentation | CodeCode Available | 0 |
| Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets | Aug 17, 2020 | Organ Segmentation | —Unverified | 0 |
| Continual Class Incremental Learning for CT Thoracic Segmentation | Aug 12, 2020 | class-incremental learningClass Incremental Learning | —Unverified | 0 |
| Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation | Jul 19, 2020 | Image ReconstructionOrgan Segmentation | —Unverified | 0 |
| Marginal loss and exclusion loss for partially supervised multi-organ segmentation | Jul 8, 2020 | Organ SegmentationSegmentation | —Unverified | 0 |
| Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation | Jun 28, 2020 | Domain AdaptationImage Segmentation | —Unverified | 0 |
| Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation | May 18, 2020 | Domain AdaptationOrgan Segmentation | —Unverified | 0 |
| A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis | Apr 25, 2020 | Anomaly DetectionDiagnostic | —Unverified | 0 |
| Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN | Mar 24, 2020 | Computed Tomography (CT)GPU | —Unverified | 0 |