36 citations · 39 across the 14 of their papers we have counts for
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cs.CE2026
Physics-Informed Deep Learning in Oncology
Scindhiya Laxmi, Vivek S. Yadav, Ameya D. Jagtap
Deep learning has enabled substantial advances in oncology, including cancer detection and diagnosis, medical image analysis, tumor characterization, treatment planning, response a…
cs.CE2024★ 1 cited
History-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs)
Jassem Abbasi, Ben Moseley, Takeshi Kurotori +4
We propose a workflow based on physics-informed neural networks (PINNs) to model multiphase fluid flow in fractured porous media. After validating the workflow in forward and inver…