Øystein Sørensen

According to our database, Øystein Sørensen authored at least 9 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, October, 2023

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, Hesso Farhan

PLoS Comput. Biol., 2023

2022

Deep neural networks learn general and clinically relevant representations of the ageing brain.

Esten H. Leonardsen, Han Peng, Tobias Kaufmann, 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, James M. Roe, Geir Selbæk, Øystein Sørensen, Stephen M. Smith, Lars T. Westlye, Thomas Wolfers, Yunpeng Wang

NeuroImage, 2022

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

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

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

2020

BayesMallows: An R Package for the Bayesian Mallows Model.

Øystein Sørensen, Marta Crispino, Qinghua Liu, Valeria Vitelli

R J., 2020

2019

hdme: High-Dimensional Regression with Measurement Error.

Øystein Sørensen

J. Open Source Softw., 2019

2017

Probabilistic preference learning with the Mallows rank model.

Valeria Vitelli, Øystein Sørensen, Marta Crispino, Arnoldo Frigessi, Elja Arjas

J. Mach. Learn. Res., 2017