Pinned Repositories
ADePt
Self-supervised machine learning algorithm for X-ray ptycho-laminography
APT
Python codes for the paper "Three-dimensional X-ray imaging of integrated circuits at 14 nm resolution minimising data acquisition and computation time."
CoCoA
Kang, I., Zhang, Q., Yu, S.X. et al. Coordinate-based neural representations for computational adaptive optics in widefield microscopy. Nat Mach Intell 6, 714–725 (2024). https://doi.org/10.1038/s42256-024-00853-3
deep-residual-learning-wavefront
Python code for our Opt. Express paper "Deep residual learning for low-order wavefront sensing in high-contrast imaging systems."
dynamical-machine-learning-limited-angular-views
Python code for our Light Sci. Appl. paper 'Dynamical machine learning volumetric reconstruction of objects’ interiors from limited angular views.'
iksungk.github.io
simultaneous_recovery
This repository provides code and datasets used for the Optica paper (Kang and de Cea et al, Optica (2022)): https://opg.optica.org/optica/fulltext.cfm?uri=optica-9-10-1149&id=509776.
iksungk's Repositories
iksungk/CoCoA
Kang, I., Zhang, Q., Yu, S.X. et al. Coordinate-based neural representations for computational adaptive optics in widefield microscopy. Nat Mach Intell 6, 714–725 (2024). https://doi.org/10.1038/s42256-024-00853-3
iksungk/APT
Python codes for the paper "Three-dimensional X-ray imaging of integrated circuits at 14 nm resolution minimising data acquisition and computation time."
iksungk/deep-residual-learning-wavefront
Python code for our Opt. Express paper "Deep residual learning for low-order wavefront sensing in high-contrast imaging systems."
iksungk/ADePt
Self-supervised machine learning algorithm for X-ray ptycho-laminography
iksungk/simultaneous_recovery
This repository provides code and datasets used for the Optica paper (Kang and de Cea et al, Optica (2022)): https://opg.optica.org/optica/fulltext.cfm?uri=optica-9-10-1149&id=509776.
iksungk/dynamical-machine-learning-limited-angular-views
Python code for our Light Sci. Appl. paper 'Dynamical machine learning volumetric reconstruction of objects’ interiors from limited angular views.'
iksungk/iksungk.github.io