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DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
In this work, we propose an AI-based method that intends to improve the ...
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Self-alignment Pre-training for Biomedical Entity Representations
Despite the widespread success of self-supervised learning via masked la...
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COMETA: A Corpus for Medical Entity Linking in the Social Media
Whilst there has been growing progress in Entity Linking (EL) for genera...
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Visual Pivoting for (Unsupervised) Entity Alignment
This work studies the use of visual semantic representations to align en...
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Upgrading the Newsroom: An Automated Image Selection System for News Articles
We propose an automated image selection system to assist photo editors i...
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HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs
The hubness problem widely exists in high-dimensional embedding space an...
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A Strong and Robust Baseline for Text-Image Matching
We review the current schemes of text-image matching models and propose ...
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Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model
Automatic clinical diagnosis of retinal diseases has emerged as a promis...
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3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks
Standard 3D convolution operations require much larger amounts of memory...
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A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases
Automatic clinical diagnosis of retinal diseases has emerged as a promis...
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3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds
Semantic parsing of large-scale 3D point clouds is an important research...
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