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Found 3 papers, 1 papers with code
Inverse resolution of spatially varying diffusion coefficient using Physics-Informed neural networks
The robustness of the method as an inverse solver was tested using both numerical and experimental datasets.
Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data
Despite the remarkable advances in cancer diagnosis, treatment, and management that have occurred over the past decade, malignant tumors remain a major public health problem.
Training a universal instance segmentation network for live cell images of various cell types and imaging modalities
We share our recent findings in an attempt to train a universal segmentation network for various cell types and imaging modalities.
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