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07/24/2023
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data
Intracerebral hemorrhage (ICH) is the second most common and deadliest f...
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06/23/2023
3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation
Despite that the segment anything model (SAM) achieved impressive result...
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01/01/2023
Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
Brain midline shift (MLS) is one of the most critical factors to be cons...
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07/02/2022
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift
Class distribution plays an important role in learning deep classifiers....
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04/13/2022
Rapid model transfer for medical image segmentation via iterative human-in-the-loop update: from labelled public to unlabelled clinical datasets for multi-organ segmentation in
Despite the remarkable success on medical image analysis with deep learn...
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05/31/2021
Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation
The analysis of organ vessels is essential for computer-aided diagnosis ...
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03/16/2021
Consistent Posterior Distributions under Vessel-Mixing: A Regularization for Cross-Domain Retinal Artery/Vein Classification
Retinal artery/vein (A/V) classification is a critical technique for dia...
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07/18/2020
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification
Retinal artery/vein (A/V) classification plays a critical role in the cl...
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07/04/2020
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge
To better understand early brain growth patterns in health and disorder,...
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10/28/2019
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network
Automatic and accurate segmentation of the ventricles and myocardium fro...
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08/22/2019
