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Found 4 papers, 3 papers with code
Tyche: Stochastic In-Context Learning for Medical Image Segmentation
Existing learning-based solutions to medical image segmentation have two important shortcomings.
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image
These include a training strategy that incorporates both a highly diverse set of images and tasks, novel algorithms for simulated user interactions and labels, and a network that enables fast inference.
Anatomical Predictions using Subject-Specific Medical Data
We present a method that predicts how a brain MRI for an individual will change over time.
Learning Conditional Deformable Templates with Convolutional Networks
We develop a learning framework for building deformable templates, which play a fundamental role in many image analysis and computational anatomy tasks.
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