Volume Reconstruction for Light Field Microscopy. - Herman Verinaz-Jadan; Pingfan Song; Carmel L. Howe; Amanda J. Foust; Pier Luigi Dragotti (ICASSP, 2020)

3D Localization for Light-Field Microscopy via Convolutional Sparse Coding on Epipolar Images. - Pingfan Song; Herman Verinaz-Jadan; Carmel L. Howe; Peter Quicke; Amanda J. Foust; Pier Luigi Dragotti (IEEE Trans. Computational Imaging, 2020)

Model-Inspired Deep Learning for Light-Field Microscopy with Application to Neuron Localization. - Pingfan Song; Herman Verinaz-Jadan; Carmel L. Howe; Peter Quicke; Amanda J. Foust; Pier Luigi Dragotti (ICASSP, 2021)

Deep Learning For Light Field Microscopy Using Physics-Based Models. - Herman Verinaz-Jadan; Pingfan Song; Carmel L. Howe; Peter Quicke; Amanda J. Foust; Pier Luigi Dragotti (ISBI, 2021)

Light-Field Microscopy for the Optical Imaging of Neuronal Activity: When model-based methods meet data-driven approaches. - Pingfan Song; Herman Verinaz-Jadan; Carmel L. Howe; Amanda J. Foust; Pier Luigi Dragotti (IEEE Signal Process. Mag., 2022)

Shift-Invariant-Subspace Discretization and Volume Reconstruction for Light Field Microscopy. - Herman Verinaz-Jadan; Pingfan Song; Carmel L. Howe; Amanda J. Foust; Pier Luigi Dragotti (IEEE Trans. Computational Imaging, 2022)

Physics-Based Deep Learning for Imaging Neuronal Activity via Two-Photon and Light Field Microscopy. - Herman Verinaz-Jadan; Carmel L. Howe; Pingfan Song; Flavie Lesept; Josef Kittler; Amanda J. Foust; Pier Luigi Dragotti (IEEE Trans. Computational Imaging, 2023)

Model-Based Explainable Deep Learning for Light-Field Microscopy Imaging. - Pingfan Song; Herman Verinaz-Jadan; Carmel L. Howe; Amanda J. Foust; Pier Luigi Dragotti (IEEE Trans. Image Process., 2024)