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04/15/2023
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation
This study investigates barely-supervised medical image segmentation whe...
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03/12/2023
Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
Sparse-view cone-beam CT (CBCT) reconstruction is an important direction...
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09/30/2022
Semi-Supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo Labels
Developing a deep learning method for medical segmentation tasks heavily...
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05/07/2022
Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation
Segmentation of 3D knee MR images is important for the assessment of ost...
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03/26/2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
Federated semi-supervised learning (FSSL) aims to derive a global model ...
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08/18/2021
ME-PCN: Point Completion Conditioned on Mask Emptiness
Point completion refers to completing the missing geometries of an objec...
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07/09/2021
Beyond Farthest Point Sampling in Point-Wise Analysis
Sampling, grouping, and aggregation are three important components in th...
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10/14/2020
Skeleton-bridged Point Completion: From Global Inference to Local Adjustment
Point completion refers to complete the missing geometries of objects fr...
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02/25/2020
