activity
20202025
most citedAI for the prediction of early stages of Alzheimer's disease from neuroimaging biomarkers -- A narrative review of a growing field

33 citations · 140 across the 29 of their papers we have counts for

collaborators

29 papers

math.NA2025

Fast capacity computation for maze-like configurations

Harri Hakula, Oona Rainio, Matti Vuorinen

We study the conformal capacity where is a bounded domain of and is a compact connected set in . Because the exact numerical value of the…

stat.AP2025★ 2 cited

Quantitative evaluation of unsupervised clustering algorithms for dynamic total-body PET image analysis

Oona Rainio, Maria K. Jaakkola, Riku Klén

Background. Recently, dynamic total-body positron emission tomography (PET) imaging has become possible due to new scanner devices. While clustering algorithms have been proposed f…

cs.LG2024★ 33 cited

AI for the prediction of early stages of Alzheimer's disease from neuroimaging biomarkers -- A narrative review of a growing field

Thorsten Rudroff, Oona Rainio, Riku Klén

Objectives: The objectives of this narrative review are to summarize the current state of AI applications in neuroimaging for early Alzheimer's disease (AD) prediction and to highl…

math.MG2024

Inequalities for a new hyperbolic type metric

Oona Rainio

We study a new hyperbolic type metric recently introduced by Song and Wang. We present formulas for it in the upper half-space and the unit ball domains and find its sharp inequali…

math.MG2024

Visual angle metric in the upper half plane

Masayo Fujimura, Oona Rainio, Matti Vuorinen

We prove an identity which connects the visual angle metric and the hyperbolic metric of the upper half plane . The proof is bas…

math.MG2024

Inequalities for geometric mean distance metric

Oona Rainio

We study a hyperbolic type metric introduced by Dovgoshey, Hariri, and Vuorinen. We find the best constant , for which this function is a metric in specifi…