A nonsmooth regularization approach based on shearlets for Poisson noise removal in ROI tomography. - Tatiana A. Bubba; Federica Porta; Gaetano Zanghirati; Silvia Bonettini (Appl. Math. Comput., 2018)

Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography. - Tatiana A. Bubba; Gitta Kutyniok; Matti Lassas; Maximilian März; Wojciech Samek; Samuli Siltanen; Vignesh Srinivasan (CoRR, 2018)

Sparse dynamic tomography. A shearlet-based approach for iodine perfusion in plant stems. - Tatiana A. Bubba; Tommi Heikkilä; Hanna Help; Simo Huotari; Yann Salmon 002; Samuli Siltanen (CoRR, 2020)

4D Dual-Tree Complex Wavelets for Time-Dependent Data. - Tatiana A. Bubba; Tommi Heikkilä; Samuli Siltanen (ICCSA (Workshops), 2021)

Convex regularization in statistical inverse learning problems. - Tatiana A. Bubba; Martin Burger 001; Tapio Helin; Luca Ratti (CoRR, 2021)

Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography. - Tatiana A. Bubba; Mathilde Galinier; Matti Lassas; Marco Prato; Luca Ratti; Samuli Siltanen (SIAM J. Imaging Sci., 2021)

Bilevel learning of regularization models and their discretization for image deblurring and super-resolution. - Tatiana A. Bubba; Luca Calatroni; Ambra Catozzi; Serena Crisci; Thomas Pock; Monica Pragliola; Siiri Rautio; Danilo Riccio; Andrea Sebastiani (CoRR, 2023)

Trust your source: quantifying source condition elements for variational regularisation methods. - Martin Benning; Tatiana A. Bubba; Luca Ratti; Danilo Riccio (CoRR, 2023)

Efficient representation of spatio-temporal data using cylindrical shearlets. - Tatiana A. Bubba; Glenn R. Easley; Tommi Heikkilä; Demetrio Labate; Jose P. Rodriguez Ayllon (J. Comput. Appl. Math., 2023)

TomoSelfDEQ: Self-supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction. - Tatiana A. Bubba; Matteo Santacesaria; Andrea Sebastiani (SSVM (1), 2025)

Fast Inexact Bilevel Optimization for Analytical Deep Image Priors. - Mohammad Sadegh Salehi; Tatiana A. Bubba; Yury Korolev (SSVM (1), 2025)

Regularization with Optimal Space-Time Priors. - Tatiana A. Bubba; Tommi Heikkilä; Demetrio Labate; Luca Ratti (SIAM J. Imaging Sci., 2025)

Revisiting ΨDONet: microlocally inspired filters for incomplete-data tomographic reconstructions. - Tatiana A. Bubba; Luca Ratti; Andrea Sebastiani (CoRR, 2025)