- Tommi Heikkilä, Project Researcher(postdoc) in the LUT University, School of Engineering Sciences (Finland)
- Working on: applied math, inverse problems, sparse, nonlinear and/or dynamic tomography, wavelets and shearlets
- ORCID: 0000-0001-5505-8136
- LUT University Research portal
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randDynTomo: Statistical inverse learning of randomly sampled dynamic tomograhy
Numerical validation of results in "Regularization with optimal space-time priors". Collaboration with T.A. Bubba and L. Ratti. -
3d_cylind_shear: 3D Cylindrical shearlet transform for Matlab
(Most of the work by G. Easley and D. Labate) -
dualtree4: 4D dual-tree complex wavelet transform for Matlab
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wavedec4: 4D Discrete wavelet transform for Matlab
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4dCylindricalShearlet: 4D Cylindrical shearlet transform for Matlab
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sliceViewerApp: Matlab app for viewing slices of 4D and 3D volumes
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T.H, H. Help & A. Meaney,
Cone-beam Gel phantom data for dynamic X-ray tomography (2023). DOI:10.5281/zenodo.7739984
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T.H, STEMPO - dynamic X-ray tomography phantom (2022). DOI:10.5281/zenodo.7081688
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T.H, H. Help & A. Meaney,
Gel phantom data for dynamic X-ray tomography (2020). DOI:10.5281/zenodo.3696816
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T.A. Bubba, T.H, D. Labate & L. Ratti,
Regularization with optimal space-time priors (2024). arXiv:2405.06337 -
J-B. Fest, T.H, I. Loris, S. Martin, L. Ratti, S: Rebegoldi & G. Sarnighausen,
On a fixed point continuation method for a convex optimization problem (2022). arXiv:2212.12256 -
T.H,
STEMPO - dynamic X-ray omography phantom (2022). To appear in Advanced Techniques in Optimization for Machine learning and Imaging (ATOMI), Springer INdAM Series. arXiv:2209.12471 -
T.A. Bubba, G. Easley, T.H, D. Labate & J.P. Rodriguez Ayllon,
Efficient representation of spatio-temporal data using cylindrical shearlets (2023). Journal of Computational and Applied Mathematics 429, 115206. DOI:10.1016/j.cam.2023.115206 -
T.A. Bubba, T.H & S. Siltanen,
4D dual-tree complex wavelets for time-dependent data (2021). 21st International Conference on Computational Science and Its Applications (ICCSA), IEEE, p. 146-156. DOI:10.1109/ICCSA54496.2021.00029 -
T.A. Bubba, T.H, H. Help, S. Huotari, Y. Salmon & S. Siltanen,
Sparse dynamic tomography: Shearlet-based approach for iodine perfusion in plant stems (2020). Inverse Problems 36, 094002. DOI:10.1088/1361-6420/ab9c15
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Spatio-temporal regularization methods for sparse dynamic tomography (2024),
PhD thesis, University of Helsinki, Finland. Dissertationes Universitatis Helsingiensis 60/2024.
Last edited May 14, 2024
