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20222026
most citedAmplitude/Phase Retrieval for Terahertz Holography with Supervised and Unsupervised Physics-Informed Deep Learning

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

physics.optics2026

Active Electronic Terahertz Imaging for Industrial Applications: From Hardware to the Paradigm Shift by Artificial Intelligence

Aparajita Bandyopadhyay, Hui Yuan, Willie J. Padilla +2

Imaging with terahertz (THz) radiation (0.3-10 THz) benefits from a unique combination of attributes: penetration through dry, non-polar packaging materials; variations of dielectr…

physics.optics2024

Reconstruction of partially occluded objects with a physics-driven self-training neural network

Mingjun Xiang, Kai Zhou, Hui Yuan +1

This study proposes a novel approach utilizing a physics-informed deep learning (DL) algorithm to reconstruct occluded objects in a terahertz (THz) holographic system. Taking the a…

physics.optics2024★ 1 cited

Hybrid Multi-Head Physics-informed Neural Network for Depth Estimation in Terahertz Imaging

Mingjun Xiang, Hui Yuan, Kai Zhou +1

Terahertz (THz) imaging is one of the hotspots in the field of optics, where the depth information retrieval is a key factor to restore the three-dimensional appearance of objects.…

physics.optics2023★ 1 cited

600-GHz Fourier Imaging Based on Heterodyne Detection at the 2nd Sub-harmonic

Hui Yuan, Alvydas Lisauskas, Mark D. Thomson +1

Fourier imaging is an indirect imaging method which records the diffraction pattern of the object scene coherently in the focal plane of the imaging system and reconstructs the ima…

physics.optics2022★ 2 cited

Amplitude/Phase Retrieval for Terahertz Holography with Supervised and Unsupervised Physics-Informed Deep Learning

Mingjun Xiang, Hui Yuan, Lingxiao Wang +2

Recently, digital holographic imaging techniques (including methods with heterodyne detection) have found increased attention in the terahertz (THz) frequency range. However, holog…