A single canonical neural atlas is learned jointly over thousands of ultrasound frames from five cardiac and musculoskeletal datasets via DINOv3 features and per-video generative latent optimization embeddings to support annotation transfer.
Xie , author T
2 Pith papers cite this work. Polarity classification is still indexing.
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Conditional neural fields combined with LSTM networks predict aircraft ditching loads accurately across heterogeneous spatial discretizations using fewer parameters than convolutional autoencoders.
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Conditional Neural Field based Reduced Order Model for Dynamic Ditching Load Prediction
Conditional neural fields combined with LSTM networks predict aircraft ditching loads accurately across heterogeneous spatial discretizations using fewer parameters than convolutional autoencoders.