Luke Lozenski

According to our database, Luke Lozenski authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography.

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

IEEE Trans. Computational Imaging, 2024

ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction.

Luke Lozenski, Refik Mert Çam, Mark D. Pagel, Mark A. Anastasio, Umberto Villa

IEEE Trans. Computational Imaging, 2024

2023

Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth.

Baoshan Liang, Jingye Tan, Luke Lozenski, David A. Hormuth, Thomas E. Yankeelov, Umberto Villa, Danial Faghihi

IEEE Trans. Medical Imaging, October, 2023

Technical Note: PDE-constrained Optimization Formulation for Tumor Growth Model Calibration.

Baoshan Liang, Luke Lozenski, Umberto Villa, Danial Faghihi

CoRR, 2023

2022

A Memory-Efficient Self-Supervised Dynamic Image Reconstruction Method Using Neural Fields.

Luke Lozenski, Mark A. Anastasio, Umberto Villa

IEEE Trans. Computational Imaging, 2022

2021

Consensus ADMM for Inverse Problems Governed by Multiple PDE Models.

Luke Lozenski, Umberto Villa

CoRR, 2021