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09/11/2023
An Effective Two-stage Training Paradigm Detector for Small Dataset
Learning from the limited amount of labeled data to the pre-train model ...
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08/07/2023
Feature-Suppressed Contrast for Self-Supervised Food Pre-training
Most previous approaches for analyzing food images have relied on extens...
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03/09/2023
Learn More for Food Recognition via Progressive Self-Distillation
Food recognition has a wide range of applications, such as health-aware ...
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02/03/2023
Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling
In this manuscript (ms), we propose causal inference based single-branch...
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07/21/2021
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation
Liver cancer is one of the most common cancers worldwide. Due to inconsp...
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06/21/2021
Confidence-Guided Radiology Report Generation
Medical imaging plays a pivotal role in diagnosis and treatment in clini...
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10/19/2020
Double-Uncertainty Weighted Method for Semi-supervised Learning
Though deep learning has achieved advanced performance recently, it rema...
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10/19/2020
Modality-Pairing Learning for Brain Tumor Segmentation
Automatic brain tumor segmentation from multi-modality Magnetic Resonanc...
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09/14/2020
A Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring
With the success of big data and artificial intelligence in many fields,...
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07/07/2020
A Federated F-score Based Ensemble Model for Automatic Rule Extraction
In this manuscript, we propose a federated F-score based ensemble tree m...
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06/23/2020
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation
Coronavirus disease 2019 (COVID-19) is a highly contagious virus spreadi...
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12/02/2019
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
There is a large body of literature linking anatomic and geometric chara...
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10/05/2019