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Found 7 papers, 3 papers with code
Disentangled Multimodal Brain MR Image Translation via Transformer-based Modality Infuser
Multimodal Magnetic Resonance (MR) Imaging plays a crucial role in disease diagnosis due to its ability to provide complementary information by analyzing a relationship between multimodal images on the same subject.
Hybrid-Fusion Transformer for Multisequence MRI
Medical segmentation has grown exponentially through the advent of a fully convolutional network (FCN), and we have now reached a turning point through the success of Transformer.
Why is the winner the best?
The "typical" lead of a winning team is a computer scientist with a doctoral degree, five years of experience in biomedical image analysis, and four years of experience in deep learning.
SOS: Score-based Oversampling for Tabular Data
To our knowledge, we are the first presenting a score-based tabular data oversampling method.
Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis
First, we can further improve the synthesis quality, by decreasing the negative log-density of real records in the process of adversarial training.
Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis
First, we can further improve the synthesis quality, by decreasing the negative log-density of real records in the process of adversarial training.
Domain-Robust Mitotic Figure Detection with Style Transfer
We propose a new training scheme for domain generalization in mitotic figure detection.
