Unsupervised denoising for sparse multi-spectral computed tomography. - Satu I. Inkinen; Mikael A. K. Brix; Miika T. Nieminen; Simon R. Arridge; Andreas Hauptmann (CoRR, 2022)

A Multi-Filter and Multi-Scale U-Net for Cone-Beam Computed Tomography with Hardware Constraints. - Andreas Hauptmann; Mustafa Al-Rubaye; Miika T. Nieminen; Mikael A. K. Brix (ICASSP Workshops, 2024)

Computed Tomography Artefact Detection Using Deep Learning - Towards Automated Quality Assurance. - Satu I. Inkinen; Antti Kotiaho; Matti Hanni; Miika T. Nieminen; Mikael A. K. Brix (NCDHWS (2), 2024)

Image Reconstruction in Cone Beam Computed Tomography Using Controlled Gradient Sparsity. - Alexander Meaney; Mikael A. K. Brix; Miika T. Nieminen; Samuli Siltanen (CoRR, 2024)

From Technical Prerequisites to Improved Care: Distributed Edge AI for Tomographic Imaging. - Bilgehan Akdemir; Hafiz Faheem Shahid; Mikael A. K. Brix; Juho Lääkkölä; Johirul Islam; Tanesh Kumar; Jarmo Reponen; Miika T. Nieminen; Erkki Harjula (IEEE Access, 2025)