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Brendt Wohlberg

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Theoretical Division, Los Alamos National Laboratory

PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction

Oct 11, 2023
Weijie Gan, Qiuchen Zhai, Michael Thompson McCann, Cristina Garcia Cardona, Ulugbek S. Kamilov, Brendt Wohlberg

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Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography

Aug 30, 2023
Luke Lozenski, Hanchen Wang, Fu Li, Mark A. Anastasio, Brendt Wohlberg, Youzuo Lin, Umberto Villa

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Projected Multi-Agent Consensus Equilibrium (PMACE) for Distributed Reconstruction with Application to Ptychography

Mar 28, 2023
Qiuchen Zhai, Gregery T. Buzzard, Kevin Mertes, Brendt Wohlberg, Charles A. Bouman

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Deep Equilibrium Learning of Explicit Regularizers for Imaging Inverse Problems

Mar 09, 2023
Zihao Zou, Jiaming Liu, Brendt Wohlberg, Ulugbek S. Kamilov

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TRINIDI: Time-of-Flight Resonance Imaging with Neutrons for Isotopic Density Inferenc

Feb 24, 2023
Thilo Balke, Alexander M. Long, Sven C. Vogel, Brendt Wohlberg, Charles A. Bouman

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Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach

Nov 21, 2022
Paul Goyes, Edwin Vargas, Claudia Correa, Yu Sun, Ulugbek Kamilov, Brendt Wohlberg, Henry Arguello

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Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging

Mar 31, 2022
Ulugbek S. Kamilov, Charles A. Bouman, Gregery T. Buzzard, Brendt Wohlberg

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Projected Multi-Agent Consensus Equilibrium for Ptychographic Image Reconstruction

Dec 08, 2021
Qiuchen Zhai, Brendt Wohlberg, Gregery T. Buzzard, Charles A. Bouman

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Hyperspectral Neutron CT with Material Decomposition

Oct 06, 2021
Thilo Balke, Alexander M. Long, Sven C. Vogel, Brendt Wohlberg, Charles A. Bouman

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