| U-Net: Convolutional Networks for Biomedical Image Segmentation |
 |
 |
| V-net: Fully convolutional neural networks for volumetric medical image segmentation. |
 |
 |
| 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation |
 |
 |
| Attention U-Net: Learning Where to Look for the Pancreas |
 |
 |
| UNet++: A Nested U-Net Architecture for Medical Image Segmentation |
 |
 |
| nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation |
 |
 |
| TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation |
 |
 |
| TransBTS: Multimodal Brain Tumor Segmentation Using Transformer |
 |
 |
| CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation |
 |
 |
| DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation |
 |
 |
| UNETR: Transformers for 3D Medical Image Segmentation |
 |
|
| Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation |
 |
 |
| nnFormer: Interleaved Transformer for Volumetric Segmentation |
 |
 |
| Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images |
 |
|
| UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation |
 |
|
| 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation |
 |
 |
| MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery |
 |
 |
| MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer |
 |
 |
| Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation |
 |
 |
| UniverSeg: Universal Medical Image Segmentation |
 |
 |
| 3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers |
 |
 |
| Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning |
 |
 |
| UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner |
 |
 |
| U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation |
 |
 |
| Non-local U-Nets for Biomedical Image Segmentation |
 |
 |
| Learning Topological Interactions for Multi-Class Medical Image Segmentation |
 |
 |
| Efficient Context-Aware Network for Abdominal Multi-organ Segmentation |
 |
 |
| A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark |
 |
|
| MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation |
 |
 |
| NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation |
 |
 |
| SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation |
 |
 |
