U-Net: Convolutional Networks for Biomedical Image Segmentation (MICCAI)
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes (IEEE Transactions on Medical Imaging)
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network (MICCAI)
UNet++: A Nested U-Net Architecture for Medical Image Segmentation (MICCAI)
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation
DUNet: A deformable network for retinal vessel segmentation
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities
Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment
Prostate Segmentation using 2D Bridged U-net
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal MRI
IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNet
LADDERNET: Multi-Path Networks Based on U-Net for Medical Image Segmentation
Glioma Segmentation with Cascaded Unet [paper]
Attention U-Net: Learning Where to Look for the Pancreas
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
Concurrent Spatial and Channel ‘Squeeze & Excitation’ in Fully Convolutional Networks
A Probabilistic U-Net for Segmentation of Ambiguous Images (NIPS)
AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy
3D RoI-aware U-Net for Accurate and Efficient Colorectal Cancer Segmentation
Detection and Delineation of Acute Cerebral Infarct on DWI Using Weakly Supervised Machine Learning (Y-Net) (MICCAI)
Fully Dense UNet for 2D Sparse Photoacoustic Tomography Artifact Removal
MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument
Probability Map Guided Bi-directional Recurrent UNet for Pancreas Segmentation
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Graph U-Net
A Novel Focal Tversky Loss Function with Improved Attention U-Net for Lesion Segmentation (ISBI)
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling
Connection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation
CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation
W-Net: Reinforced U-Net for Density Map Estimation
Automated Segmentation of Pulmonary Lobes using Coordination-guided Deep Neural Networks (ISBI oral)
U2-Net: A Bayesian U-Net Model with Epistemic Uncertainty Feedback for Photoreceptor Layer Segmentation in Pathological OCT Scans [paper]
ScleraSegNet: an Improved U-Net Model with Attention for Accurate Sclera Segmentation (ICB Honorable Mention Paper Award)
AHCNet: An Application of Attention Mechanism and Hybrid Connection for Liver Tumor Segmentation in CT Volumes
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities
Recurrent U-Net for Resource-Constrained Segmentation
MFP-Unet: A Novel Deep Learning Based Approach for Left Ventricle Segmentation in Echocardiography
A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation (MICCAI 2019)
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data
A multi-task U-net for segmentation with lazy labels
RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments
3D U2-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation (MICCAI 2019)
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation (MICCAI 2019)
3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI (MICCAI 2019)
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN
Recurrent U-Net for Resource-Constrained Segmentation (ICCV 2019)
Siamese U-Net with Healthy Template for Accurate Segmentation of Intracranial Hemorrhage (MICCAI 2019)
U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection (Pattern Recognition 2020)
UNET 3+: A Full-Scale Connected UNet for Medical Image Segmentation (ICASSP 2020)
DA-DSUnet: Dual Attention-based Dense SU-net for Automatic Head-and-neck Tumor Segmentation in MRI Images
EAR-UNet: A Deep Learning-based Approach for Segmentation of Tympanic Membranes from Otoscopic Images
MetricUNet: Synergistic Image- and Voxel-Level Learning for Precise Prostate Segmentation via Online Sampling
Efficient Unet with depth-aware gated fusion for automatic skin lesion segmentation
ANT-UNet: Accurate and Noise-Tolerant Segmentation for Pathology Image Processing
X-Net: Multi-branch UNet-like network for liver and tumor segmentation from 3D abdominal CT scans
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT images
Encoder Enhanced Atrous (EEA) Unet architecture for Retinal Blood vessel segmentation
SGUNet: Style-Guided UNet for Adversely Conditioned Fundus Image Super-Resolution
WBC-Net: A white blood cell segmentation network based on UNet++ and ResNet
Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet
SmaAt-UNet: Precipitation nowcasting using a small attention-UNet architecture
Contour-aware semantic segmentation network with spatial attention mechanism for medical image
SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation
SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images
Efficient and Robust Instrument Segmentation in 3D Ultrasound Using Patch-of-Interest-FuseNet with Hybrid Loss
SDUNet: Road extraction via spatial enhanced and densely connected UNet
Multi-constraint generative adversarial network for dose prediction in radiotherapy