Advances in physics-informed deep learning for imaging data: a review of methods and applications

Deep learning (DL) has transformed numerous application domains owing its ability to automatically extract features from data. However, training DL models typically requires large datasets, which are often unavailable for scientific research. In recent years, the integration of physics with DL, know...

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Bibliographic Details

Published in:	JPhys photonics Vol. 7; no. 4; pp. 42002 - 42018
Main Authors:	Yogita, Yogita, Bocklitz, Thomas
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 31.10.2025
Subjects:	Deep learning Imaging inverse problems machine learning optical and photonic data Physics physics-informed deep learning
ISSN:	2515-7647, 2515-7647
Online Access:	Get full text
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