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05/18/2023
Coordinated Transformer with Position & Sample-aware Central Loss for Anatomical Landmark Detection
Heatmap-based anatomical landmark detection is still facing two unresolv...
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06/30/2022
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis
The human annotations are imperfect, especially when produced by junior ...
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08/17/2021
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks
To further improve the performance and the self-learning ability of GCNs...
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10/10/2020
Selective Information Passing for MR/CT Image Segmentation
Automated medical image segmentation plays an important role in many cli...
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06/03/2020
Self-supervised Training of Graph Convolutional Networks
Graph Convolutional Networks (GCNs) have been successfully applied to an...
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12/05/2019
OASIS: One-pass aligned Atlas Set for Image Segmentation
Medical image segmentation is a fundamental task in medical image analys...
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11/12/2019
Multi-hop Convolutions on Weighted Graphs
Graph Convolutional Networks (GCNs) have made significant advances in se...
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02/21/2019
Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation
Accurate segmentation of the prostate from magnetic resonance (MR) image...
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03/22/2017