Probabilistic preference learning with the Mallows rank model. - Valeria Vitelli; Øystein Sørensen; Marta Crispino; Arnoldo Frigessi; Elja Arjas (J. Mach. Learn. Res., 2017)

hdme: High-Dimensional Regression with Measurement Error. - Øystein Sørensen (J. Open Source Softw., 2019)

BayesMallows: An R Package for the Bayesian Mallows Model. - Øystein Sørensen; Marta Crispino; Qinghua Liu; Valeria Vitelli (R J., 2020)

Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer - ASEG and SAMSEG. - Donatas Sederevicius; Dídac Vidal-Piñeiro; Øystein Sørensen; Koenraad Van Leemput; Juan Eugenio Iglesias; Adrian V. Dalca; Douglas N. Greve; Bruce Fischl; Atle Bjørnerud; Kristine B. Walhovd; Anders M. Fjell (NeuroImage, 2021)

Meta-analysis of generalized additive models in neuroimaging studies. - Øystein Sørensen; Andreas M. Brandmaier; Dídac Macià; Klaus P. Ebmeier; Paolo Ghisletta; Rogier A. Kievit; Athanasia M. Mowinckel; Kristine B. Walhovd; René Westerhausen; Anders M. Fjell (NeuroImage, 2021)

A recipe for accurate estimation of lifespan brain trajectories, distinguishing longitudinal and cohort effects. - Øystein Sørensen; Kristine B. Walhovd; Anders M. Fjell (NeuroImage, 2021)

Deep neural networks learn general and clinically relevant representations of the ageing brain. - Esten H. Leonardsen; Han Peng; Tobias Kaufmann 001; Ingrid Agartz; Ole A. Andreassen; Elisabeth Gulowsen Celius; Thomas Espeseth; Hanne F. Harbo; Einar A. Høgestøl; Ann-Marie G. de Lange; Andre F. Marquand; Dídac Vidal-Piñeiro; et al. (NeuroImage, 2022)

A combined experimental-computational approach uncovers a role for the Golgi matrix protein Giantin in breast cancer progression. - Salim Ghannoum; Damiano Fantini; Muhammad Zahoor; Veronika Reiterer; Santosh Phuyal; Waldir Leoncio Netto; Øystein Sørensen; Arvind Iyer; Debarka Sengupta; Lina Prasmickaite; Gunhild Mari Mælandsmo; Alvaro Köhn-Luque; et al. (PLoS Comput. Biol., 2023)

Hippocampal-cortical functional connectivity during memory encoding and retrieval. - Liisa Raud; Markus H. Sneve; Dídac Vidal-Piñeiro; Øystein Sørensen; Line Folvik; Hedda T. Ness; Athanasia M. Mowinckel; Håkon Grydeland; Kristine B. Walhovd; Anders M. Fjell (NeuroImage, 2023)

MUSTER: Longitudinal Deformable Registration by Composition of Consecutive Deformations. - Edvard Grødem; Donatas Sederevicius; Esten H. Leonardsen; Bradley J. MacIntosh; Atle Bjørnerud; Till Schellhorn; Øystein Sørensen; Inge K. Amlien; Pablo F. Garrido; Anders M. Fjell (CoRR, 2024)

Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence. - Esten H. Leonardsen; Karin Persson; Edvard Grødem; Nicola Dinsdale; Till Schellhorn; James M. Roe; Dídac Vidal-Piñeiro; Øystein Sørensen; Tobias Kaufmann 001; Eric Westman; Andre F. Marquand; Geir Selbæk; et al. (npj Digit. Medicine, 2024)

Gaining Brain Insights by Tapping into the Black Box: Linking Structural MRI Features to Age and Cognition using Shapley-Based Interpretation Methods. - Julia Kropiunig; Øystein Sørensen (Neuroinformatics, 2025)