301 citations · 1.4k across the 51 of their papers we have counts for
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PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction
Weijie Gan, Qiuchen Zhai, Michael Thompson McCann +3
Ptychography is an imaging technique that captures multiple overlapping snapshots of a sample, illuminated coherently by a moving localized probe. The image recovery from ptychogra…
Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography
Luke Lozenski, Hanchen Wang, Fu Li +4
Ultrasound computed tomography (USCT) is an emerging imaging modality that holds great promise for breast imaging. Full-waveform inversion (FWI)-based image reconstruction methods…
Deep Equilibrium Learning of Explicit Regularizers for Imaging Inverse Problems
Zihao Zou, Jiaming Liu, Brendt Wohlberg +1
There has been significant recent interest in the use of deep learning for regularizing imaging inverse problems. Most work in the area has focused on regularization imposed implic…
Projected Multi-Agent Consensus Equilibrium (PMACE) with Application to Ptychography
Qiuchen Zhai, Gregery T. Buzzard, Kevin Mertes +2
Multi-Agent Consensus Equilibrium (MACE) formulates an inverse imaging problem as a balance among multiple update agents such as data-fitting terms and denoisers. However, each suc…
TRINIDI: Time-of-Flight Resonance Imaging with Neutrons for Isotopic Density Inference
Thilo Balke, Alexander M. Long, Sven C. Vogel +2
Accurate reconstruction of 2D and 3D isotope densities is a desired capability with great potential impact in applications such as evaluation and development of next-generation nuc…