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VISION-MAE: A Foundation Model for Medical Image Segmentation and Classification
A foundation model, which is a large-scale pre-trained AI model, offers a versatile base that can be adapted to a variety of specific tasks and contexts.
MRAnnotator: A Multi-Anatomy Deep Learning Model for MRI Segmentation
The external dataset was used to evaluate nnU-Net model generalizability and performance in all classes on independent imaging data.
RadImageGAN -- A Multi-modal Dataset-Scale Generative AI for Medical Imaging
We showed that using synthetic auto-labeled data from RadImageGAN can significantly improve performance on four diverse downstream segmentation datasets by augmenting real training data and/or developing pre-trained weights for fine-tuning.
Fast-adapting and Privacy-preserving Federated Recommender System
In the mobile Internet era, the recommender system has become an irreplaceable tool to help users discover useful items, and thus alleviating the information overload problem.
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