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02/27/2023
Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model
Automatic Speech Recognition (ASR) is a technology that converts spoken ...
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01/05/2023
MS-DINO: Efficient Distributed Training of Vision Transformer Foundation Model in Medical Domain through Masked Sampling
In spite of the recent success of deep learning in the medical domain, t...
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08/10/2022
Alternating Cross-attention Vision-Language Model for Efficient Learning with Medical Image and Report without Curation
Recent advances in vision-language pre-training have demonstrated astoun...
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04/07/2022
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation
The widespread application of artificial intelligence in health research...
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02/13/2022
AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation
Although deep learning-based computer-aided diagnosis systems have recen...
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11/02/2021
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training
Federated learning, which shares the weights of the neural network acros...
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04/15/2021
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification
Developing a robust algorithm to diagnose and quantify the severity of C...
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03/12/2021
Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer
Under the global pandemic of COVID-19, building an automated framework t...
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03/12/2021
Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus
Under the global COVID-19 crisis, developing robust diagnosis algorithm ...
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04/13/2020