Framework for Photon Counting Quantitative Material Decomposition. - Mikael A. K. Juntunen; Satu I. Inkinen; Juuso H. Ketola; Antti Kotiaho; Matti Kauppinen; Alexander Winkler; Miika T. Nieminen (IEEE Trans. Medical Imaging, 2020)

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)

Independent evaluation of a multi-view multi-task convolutional neural network breast cancer classification model using Finnish mammography screening data. - Antti Isosalo; Satu I. Inkinen; Topi Turunen; Pieta S. Ipatti; Jarmo Reponen; Miika T. Nieminen (Comput. Biol. Medicine, 2023)

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)

Imaging phenotype evaluation from digital breast tomosynthesis data: A preliminary study. - Antti Isosalo; Satu I. Inkinen; Lucia Prostredná; Helinä Heino; Pieta S. Ipatti; Jarmo Reponen; Miika T. Nieminen (Comput. Biol. Medicine, 2024)

MammogramAnnotationTool: Markup tool for breast tissue abnormality annotation. - Antti Isosalo; Satu I. Inkinen; Helinä Heino; Topi Turunen; Miika T. Nieminen (Softw. Impacts, 2024)