Physics-Informed Deep-Learning For Elasticity: Forward, Inverse, and Mixed Problems.
Sign Up to like & getrecommendations! Published in 2023 at "Advanced science"
DOI: 10.1002/advs.202300439
Abstract: Elastography is a medical imaging technique used to measure the elasticity of tissues by comparing ultrasound signals before and after a light compression. The lateral resolution of ultrasound is much inferior to the axial resolution.… read more here.
Keywords: physics; elasticity; material; deep learning ... See more keywords
Model-Informed Deep Q-Networks to Guide Infliximab Dosing in Pediatric Crohn's Disease.
Sign Up to like & getrecommendations! Published in 2025 at "Clinical pharmacology and therapeutics"
DOI: 10.1002/cpt.70118
Abstract: Model‐informed precision dosing (MIPD) utilizes pharmacokinetic/pharmacodynamic (PK/PD) models to optimize drug therapy. However, conventional MIPD often requires manual simulation and regimen selection, which are time‐consuming and demand specialized expertise. Reinforcement learning (RL), in which an… read more here.
Keywords: informed deep; crohn disease; infliximab dosing; model informed ... See more keywords
Improved unsupervised physics‐informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients
Sign Up to like & getrecommendations! Published in 2021 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.28852
Abstract: Earlier work showed that IVIM‐NETorig, an unsupervised physics‐informed deep neural network, was faster and more accurate than other state‐of‐the‐art intravoxel‐incoherent motion (IVIM) fitting approaches to diffusion‐weighted imaging (DWI). This study presents a substantially improved version,… read more here.
Keywords: physics informed; intravoxel incoherent; physics; incoherent motion ... See more keywords
ThoR: A Motion-Dependent Physics-Informed Deep Learning Framework with Constraint-Centric Theory of Functional Connections for Rainfall Nowcasting
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DOI: 10.1038/s41598-025-26126-6
Abstract: Accurate precipitation nowcasting is crucial for mitigating the impacts of extreme weather, especially as climate change increases their frequency and severity. Traditional methods, such as numerical weather prediction and radar extrapolation, face limitations in short-term… read more here.
Keywords: deep learning; informed deep; physics informed; thor ... See more keywords
Code and Data Repository for Demands Satiated or Not? A Psychology-Informed Deep Probabilistic Approach to Offline Store Recommendations
Sign Up to like & getrecommendations! Published in 2025 at "INFORMS Journal on Computing"
DOI: 10.1287/ijoc.2023.0403.cd
Abstract: This repository is the official implementation of the Dynamic Demand Satiation Model (DDSM), a psychology-informed deep probabilistic approach that incorporates demand satiation to enhance offline store recommendations. We provide the necessary resources to apply or… read more here.
Keywords: informed deep; offline store; psychology; probabilistic approach ... See more keywords