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03/19/2023
A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation
We developed a deep ensemble learning model with a radiomics spatial enc...
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01/14/2023
A Comprehensive Survey of Graph-level Learning
Graphs have a superior ability to represent relational data, like chemic...
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10/12/2022
Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection
Purpose: To develop a U-Net segmentation uncertainty quantification meth...
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08/08/2022
Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework
Despite advances in generating fluent texts, existing pretraining models...
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07/07/2022
Shadow-Background-Noise 3D Spatial Decomposition Using Sparse Low-Rank Gaussian Properties for Video-SAR Moving Target Shadow Enhancement
Moving target shadows among video synthetic aperture radar (Video-SAR) i...
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06/06/2022
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation
Despite the success of text-to-text pre-trained models in various natura...
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04/15/2022
LaMemo: Language Modeling with Look-Ahead Memory
Although Transformers with fully connected self-attentions are powerful ...
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03/01/2022
A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation
Purpose: To develop a neural ordinary differential equation (ODE) model ...
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06/06/2021
Semantic-Enhanced Explainable Finetuning for Open-Domain Dialogues
In this paper, we propose to combine pretrained language models with the...
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01/31/2021