medical image segmentation

A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation MIDL 2021 Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! MIDL 2021 Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation AAAI 2021 CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation MIDL 2021 DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation CVPR 2021 DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets CVPR 2021 Edge-competing Pathological Liver Vessel Segmentation with Limited Labels AAAI 2021 Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation CVPR 2021 FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space CVPR 2021 Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution ICCV 2021 Improving MRI-based Knee Disorder Diagnosis with Pyramidal Feature Details MIDL 2021 Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling CVPR 2021 Medical Image Segmentation using Squeeze-and-Expansion Transformers IJCAI 2021 Modeling the Probabilistic Distribution of Unlabeled Data for One-shot Medical Image Segmentation AAAI 2021 Recurrent Mask Refinement for Few-Shot Medical Image Segmentation ICCV 2021 Region-aware Global Context Modeling for Automatic Nerve Segmentation from Ultrasound Images AAAI 2021 Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels NeurIPS 2021 Semi-supervised Medical Image Segmentation through Dual-task Consistency AAAI 2021 Stroke Lesion Outcome Prediction Based on 4D CT Perfusion Data Using Temporal Convolutional Networks MIDL 2021 3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks MIDL 2020 3D semi-supervised learning with uncertainty-aware multi-view co-training WACV 2020 An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training AAAI 2020 Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives MIDL 2020 Comparing Objective Functions for Segmentation and Detection of Microaneurysms in Retinal Images MIDL 2020 Contrastive learning of global and local features for medical image segmentation with limited annotations NeurIPS 2020