2020
EUR J NUCL MED MOL I
CTumorGAN: a unified framework for automatic computed tomography tumor segmentation
MIA
Marginal loss and exclusion loss for partially supervised multi-organ segmentation部分监督的多器官分割的边际损失和排斥损失
MICCAI
Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets
基于联合训练加权平均模型的多器官分割
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration
通过自我发现、自我分类和自我修复来学习语义丰富的表征
Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model
基于共享潜在高斯混合模型的跨域医学图像翻译
Towards Emergent Language Symbolic SemanticSegmentation and Model Interpretability
面向新兴语言的符号语义分段与模型可解释性
Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation
统一的跨模态特征分解器用于无监督的多域MRI腹部器官分割
Instance-aware Self-supervised Learning for Nuclei Segmentation
实例级自监督学习核分割
A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation
用于AS-OCT组织分割的宏观-微观弱监督学习框架
Learning Directional Feature Maps for Cardiac MRI Segmentation
用于心脏MRI分割的方向特征图学习
Code: https://github.com/c-feng/DirectionalFeature
PraNet: Parallel Reverse Attention Network for Polyp Segmentation
PraNet：用于息肉分割的并行反向注意网络
Code: https://github.com/DengPingFan/PraNet
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation
自环不确定性：一种用于半监督医学图像分割的新型伪标签
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation
通用损失重新加权以平衡3D医学图像分割中的病变大小不平等
Code: https://github.com/neuro-ml/inverse_weighting
CVPR
Momentum Contrast for Unsupervised Visual Representation Learning
无监督视觉表示学习的动量对比
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
C2FNAS：从粗到细的神经体系结构搜索3D医学图像分割
CenterMask: single shot instance segmentation with point representation
CenterMask：具有点表示的single-shot实例分割
CPR-GCN:Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries
CPR-GCN：条件部分残差图卷积网络在灌装动脉自动解剖标记中的应用
FOAL: Fast Online Adaptive Learning for cardiac motion estimation
FOAL：用于心脏运动估计的快速在线自适应学习
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
FocalMix:用于3D医学图像检测的半监督学习
PolarMask: Single Shot Instance Segmentation with Polar Representation
PolarMask：具有极坐标表示形式的单发实例分割
Code: https://github.com/xieenze/PolarMask
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing
Strip Pooling: 重新考虑空间池以进行场景解析
Code: https://github.com/Andrew-Qibin/SPNet
Structure Boundary Preserving Segmentation for Medical Image with Ambiguous Boundary
具有模糊边界的医学图像保持结构边界分割
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
综合学习：在不共享医学图像数据的情况下从分布式异步学习判别器GAN
Code: https://github.com/tommy-qichang/AsynDGAN
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting
基于全景域自适应和任务重加权的显微图像无监督实例分割
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation
What Can Be Transferred：用于内窥镜病变分割的无监督域自适应
ECCV
Conditional Convolutions for Instance Segmentation
用于实例分割的条件卷积
Code: https://github.com/aim-uofa/AdelaiDet/
Semantic Flow for Fast and Accurate Scene Parsing
语义流用于快速准确进行场景解析
Code: https://github.com/donnyyou/torchcv
Feature Pyramid Transformer
特征金字塔 Transformer
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
挖掘跨图像语义的弱监督语义分割
Code: https://github.com/GuoleiSun/MCIS_wsss
TIP
Coarse-to-Fine Semantic Segmentation From Image-Level Labels
图像级标签的粗到细语义分割
CMPB
Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes
混合注意在产前超声检查中自动分割整个胎儿头
ISBI
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation
DRU-net：用于医学图像的高效深度卷积神经网络
IJCAI
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
利用Uncertainty修正Domain Adaptation中的伪标签
ICLR
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
U-GAT-IT：具有图像到图像转换的自适应层实例规范化的无监督生成注意网络
Arxiv
Improved Baselines with Momentum Contrastive Learning
MoCov2:使用动量对比学习改进基线
Big Self-Supervised Models are Strong Semi-Supervised Learners
大型自我监督模型是强大的半监督学习者
Code: https://github.com/google-research/simclr
Pdf: https://arxiv.org/abs/2006.10029
EfficientSeg: An Efficient Semantic Segmentation Network
EfficientSeg：高效的语义分割网络
Pdf: https://arxiv.org/abs/2009.06469
Selective Information Passing for MR/CT Image Segmentation
MR/CT图像分割的选择性信息传递
Code: https://github.com/ahukui/SIPNet
Pdf: https://arxiv.org/abs/2010.04920
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
AbdomenCT-1K：腹部器官分割是解决问题吗？
Code: https://github.com/JunMa11/AbdomenCT-1K
Pdf: https://arxiv.org/abs/2010.14808
PseudoSeg: Designing pseudo labels for semantic segmentation
pseudo-seg：为语义分割设计伪标签
Code: https://github.com/googleinterns/wss
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4：目标检测的最佳速度和准确性
Code: https://github.com/AlexeyAB/darknet
Medical Image Segmentation Using a U-Net type of Architecture
使用U-Net类型的架构进行医学图像分割
PointRend: Image Segmentation as Rendering
PointRend：将图像分割看作渲染
Code: https://github.com/facebookresearch/detectron2/tree/master/projects/PointRend
Progressive Adversarial Semantic Segmentation
渐进式对抗语义分割
ResNeSt: Split-Attention Networks
ResNeSt：注意力分散网络
Code: https://github.com/zhanghang1989/ResNeSt
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention
基于注意力的组织病理图像自监督细胞核分割
Code: https://github.com/msahasrabudhe/miccai2020_self_sup_nuclei_seg
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
ClassMix：基于分割的半监督学习数据增强
Code: https://github.com/WilhelmT/ClassMix
Uncertainty-based graph convolutional networks for organ segmentation refinement
基于不确定度的图卷积网络用于器官分割细化
A novel Region of Interest Extraction Layer for Instance Segmentation
用于实例分割的新型兴趣区域提取层
Code: https://github.com/IMPLabUniPr/mmdetection-groie
An automatic COVID-19 CT segmentation based on U-Net with attention mechanism
基于注意力机制的基于U-Net的COVID-19 CT自动分割
2019
MICCAI
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels
用弱RECIST标记的致密膜改善RetinaNet对CT病变的检测
CVPR
Dual Attention Network for Scene Segmentation
双注意力网络用于场景分割
Code: https://github.com/junfu1115/DANet/
ICCV
Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation
用于部分监管的多组织分割的先验感知神经网络
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
CutMix：正则化策略来训练具有可局部化的强大分类器
Code: https://github.com/clovaai/CutMix-PyTorch
FCOS: Fully Convolutional One-Stage Object Detection
FCOS：完全卷积一阶段对象检测
Code: https://github.com/tianzhi0549/FCOS
Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization
学习特定粒度专家的混合物以进行细粒度分类
ICML
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: 对卷积神经网络模型缩放的再思考
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
NeurIPS
MixMatch: A Holistic Approach to Semi-Supervised Learning
MixMatch：半监督学习的整体方法
Code: https://github.com/google-research/mixmatch
Arxiv
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification
看得更清楚再看得更近：用于细粒度视觉分类的弱监督数据增强网络
Code: https://github.com/GuYuc/WS-DAN.PyTorch
2018
ECCV
DeepLabv3+:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
DeepLab v3+
Code: https://github.com/tensorflow/models/tree/master/research/deeplab
ICLR
mixup: Beyond Empirical Risk Minimization
mixup: 超越经验风险最小化
Code: https://github.com/facebookresearch/mixup-cifar10
Arxiv
Self-Attention Generative Adversarial Networks
自注意力生成对抗网络
Code: https://github.com/brain-research/self-attention-gan
Bag of Tricks for Image Classification with Convolutional Neural Networks
使用卷积神经网络进行图像分类的技巧包
2017
TPAMI
DeepLabv2: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
DeepLab v2
Code: https://bitbucket.org/aquariusjay/deeplab-public-ver2/src/master/
Arxiv
DeepLabv3:Rethinking Atrous Convolution for Semantic Image Segmentation
DeepLab v3
Code: https://github.com/eveningdong/DeepLabV3-Tensorflow
大型内核问题—通过全局卷积网络改进语义分割
2016
Arxiv
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation
VoxResNet：用于体积脑分割的深体素残差网络
2015
ICLR
DeepLabv1: Semantic image segmentation with deep convolutional nets and fully connected CRFs
DeepLab v1
Code: https://github.com/TheLegendAli/DeepLab-Context
