• 1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans 

      Sønderby, Ida Elken; van der Meer, Dennis; Moreau, Clara; Kaufmann, Tobias; Walters, G. Bragi; Ellegaard, Maria; Abdellaoui, Abdel; Ames, David; Amunts, Katrin; Andersson, Micael; Armstrong, Nicola J.; Bernard, Manon; Blackburn, Nicholas B.; Blangero, John; Boomsma, Dorret I.; Brodaty, Henry; Brouwer, Rachel M.; Bülow, Robin; Bøen, Rune; Cahn, Wiepke; Calhoun, Vince D.; Caspers, Svenja; Ching, Christopher R. K.; Cichon, Sven; Ciufolini, Simone; Crespo-Facorro, Benedicto; Curran, Joanne E.; Dale, Anders M.; Dalvie, Shareefa; Dazzan, Paola; de Geus, Eco J. C.; Zubicaray, Greig I. de; Zwarte, Sonja M. C. de; Desrivieres, Sylvane; Doherty, Joanne L.; Donohoe, Gary; Draganski, Bogdan; Ehrlich, Stefan; Eising, Else; Espeseth, Thomas; Fejgin, Kim; Fisher, Simon E.; Fladby, Tormod; Frei, Oleksandr; Frouin, Vincent; Fukunaga, Masaki; Gareau, Thomas; Ge, Tian; Glahn, David C.; Grabe, Hans J.; Groenewold, Nynke A.; Gustafsson, Omar; Haavik, Jan; Haberg, Asta Kristine; Hall, Jeremy; Hashimoto, Ryota; Hehir-Kwa, Jayne Y.; Hibar, Derrek P.; Hillegers, Manon H. J.; Hoffmann, Per; Holleran, Laurena; Holmes, Avram J.; Johansson, Stefan; Jönsson, Erik Gunnar; Hellard, Stephanie Francoise Claire Le; Lundervold, Arvid; Lundervold, Astri J.; Moberget, Torgeir; Nordvik, Jan Egil; Sando, Sigrid Botne; Steen, Vidar Martin; Tamnes, Christian Krog; Agartz, Ingrid; Djurovic, Srdjan; Westlye, Lars Tjelta; Andreassen, Ole; Homuth, Georg; Hottenga, Jouke-Jan; Hulshoff Pol, Hilleke E.; Ikeda, Masashi; Jahanshad, Neda; Jockwitz, Christiane; Jørgensen, Niklas R.; Kikuchi, Masataka; Knowles, Emma E. M.; Kumar, Kuldeep; Leu, Costin; Linden, David E. J.; Liu, Jingyu; Maillard, Anne M.; Martin, Nicholas G.; Martin-Brevet, Sandra; Mather, Karen A.; Mathias, Samuel R.; McMahon, Katie L.; McRae, Allan F.; Medland, Sarah E.; Meyer-Lindenberg, Andreas; Modenato, Claudia; Monereo Sánchez, Jennifer; Morris, Derek W.; Mühleisen, Thomas W.; Murray, Robin M.; Nielsen, Jacob; Nyberg, Lars; Olde Loohuis, Loes M.; Ophoff, Roel A.; Owen, Michael J.; Paus, Tomas; Pausova, Zdenka; Peralta, Juan M.; Pike, G. Bruce; Prieto, Carlos; Quinlan, Erin B.; Reinbold, Céline S.; Reis Marques, Tiago; Rucker, James J. H.; Sachdev, Perminder S.; Schofield, Peter R.; Schork, Andrew J.; Schumann, Gunter; Shin, Jean; Shumskaya, Elena; Silva, Ana I.; Sisodiya, Sanjay M.; Stein, Dan J.; Strike, Lachlan T.; Suzuki, Ikuo K.; Teumer, Alexander; Thalamuthu, Anbupalam; Tordesillas-Gutiérrez, Diana; Uhlmann, Anne; Ulfarsson, Magnus O.; van ‘t Ent, Dennis; van den Bree, Marianne B. M.; Vanderhaeghen, Pierre; Vassos, Evangelos; Wen, Wei; Wittfeld, Katharina; Wright, Margaret J.; Stefansson, Hreinn; Stefansson, Kari; Jacquemont, Sébastien; Thompson, Paul M. (Journal article; Peer reviewed, 2021)
      Low-frequency 1q21.1 distal deletion and duplication copy number variant (CNV) carriers are predisposed to multiple neurodevelopmental disorders, including schizophrenia, autism and intellectual disability. Human carriers ...
    • 2D and 3D U-Nets for skull stripping in a large and heterogeneous set of head MRI using fastai 

      Kaliyugarasan, Satheshkumar; Kocinski, Marek; Lundervold, Arvid; Lundervold, Alexander Selvikvåg (Journal article, 2020)
      Skull stripping in brain imaging is the removal of the parts of images corresponding to non-brain tissue. Fast and accurate skull stripping is a crucial step for numerous medical brain imaging applications, e.g. registration, ...
    • Automated segmentation of endometrial cancer on MR images using deep learning 

      Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Solteszova, Veronika; Zanna, Antonella; Fasmer, Kristine Eldevik; Krakstad, Camilla; Lundervold, Arvid; Lundervold, Alexander Selvikvåg; Salvesen, Øyvind; Erickson, Bradley J.; Haldorsen, Ingfrid S. (Journal article; Peer reviewed, 2021)
      Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses ...
    • Brain scans from 21,297 individuals reveal the genetic architecture of hippocampal subfield volumes 

      van der Meer, Dennis; Rokicki, Jaroslav; Kaufmann, Tobias; Còrdova Palomera, Aldo; Moberget, Torgeir; Alnæs, Dag; Bettella, Francesco; Frei, Oleksandr; Doan, Nhat Trung; Sønderby, Ida Elken; Smeland, Olav Bjerkehagen; Agartz, Ingrid; Bertolino, Alessandro; Bralten, Janita; Brandt, Christine Lycke; Buitelaar, Jan K.; Djurovic, Srdjan; van Donkelaar, Marjolein; Dørum, Erlend Solberg; Espeseth, Thomas; Faraone, Stephen V.; Fernandéz, Guillén; Fisher, Simon E.; Franke, Barbara; Haatveit, Beathe Christin; Hartman, Catharina A.; Hoekstra, Pieter J.; Håberg, Asta; Jönsson, Erik G.; Kolskår, Knut-Kristian; Le Hellard, Stephanie; Lund, Martina Jonette; Lundervold, Astri; Lundervold, Arvid; Melle, Ingrid; Monereo Sanchez, Jennifer; Norbom, Linn Christin Bonaventure; Nordvik, Jan Egil; Nyberg, Lars; Oosterlaan, Jaap; Papalino, Marco; Papassotiropoulos, Andreas; Pergola, Giulio; de Quervain, Dominique J.F.; Richard, Geneviéve´; Sanders, Anne-Marthe; Selvaggi, Pierluigi; Shumskaya, Elena; Steen, Vidar Martin; Tønnesen, Siren; Ulrichsen, Kristine Moe; Zwiers, Marcel P.; Andreassen, Ole Andreas; Westlye, Lars Tjelta (Peer reviewed; Journal article, 2018-10-02)
      The hippocampus is a heterogeneous structure, comprising histologically distinguishable subfields. These subfields are differentially involved in memory consolidation, spatial navigation and pattern separation, complex ...
    • CellSegm - a MATLAB toolbox for high-throughput 3D cell segmentation 

      Hodneland, Erlend; Kögel, Tanja; Frei, Dominik M.; Gerdes, Hans-Hermann; Lundervold, Arvid (Peer reviewed; Journal article, 2013-08-09)
      The application of fluorescence microscopy in cell biology often generates a huge amount of imaging data. Automated whole cell segmentation of such data enables the detection and analysis of individual cells, where a manual ...
    • Common brain disorders are associated with heritable patterns of apparent aging of the brain 

      Kaufmann, Tobias; van der Meer, Dennis; Doan, Nhat Trung; Schwarz, Emanuel; Lund, Martina Jonette; Agartz, Ingrid; Alnæs, Dag; Barch, Deanna M.; Baur-Streubel, Ramona; Bertolino, Alessandro; Bettella, Francesco; Beyer, Mona K.; Bøen, Erlend; Borgwardt, Stefan; Brandt, Christine Lycke; Buitelaar, Jan; Celius, Elisabeth Gulowsen; Cervenka, Simon; Conzelmann, Annette; Còrdova Palomera, Aldo; Dale, Anders; de Quervain, Dominique J.F.; di Carlo, Pasquale; Djurovic, Srdjan; Dørum, Erlend Solberg; Eisenacher, Sarah; Elvsåshagen, Torbjørn; Espeseth, Thomas; Fatouros-Bergman, Helena; Flyckt, Lena; Franke, Barbara; Frei, Oleksandr; Haatveit, Beathe; Håberg, Asta; Harbo, Hanne Flinstad; Hartman, Catharina A; Heslenfeld, Dirk J; Hoekstra, Pieter J; Høgestøl, Einar August; Jernigan, Terry L.; Jonassen, Rune; Jönsson, Erik Gunnar; Kirsch, Peter; Kłoszewska, Iwona; Kolskår, Knut-Kristian; Landrø, Nils Inge; Le Hellard, Stephanie; Lesch, Klaus-Peter; Lovestone, Simon; Lundervold, Arvid; Lundervold, Astri; Maglanoc, Luigi Angelo; Malt, Ulrik Fredrik; Mecocci, Patrizia; Melle, Ingrid; Meyer-Lindenberg, Andreas; Moberget, Torgeir; Norbom, Linn Christin Bonaventure; Nordvik, Jan Egil; Nyberg, Lars; Oosterlaan, Jaap; Papalino, Marco; Papassotiropoulos, Andreas; Pauli, Paul; Pergola, Giulio; Persson, Karin Ester Torun; Richard, Geneviève; Rokicki, Jaroslav; Sanders, Anne-Marthe; Selbæk, Geir; Shadrin, Alexey A.; Smeland, Olav Bjerkehagen; Soininen, Hilkka; Sowa, Piotr; Steen, Vidar Martin; Tsolaki, Magda; Ulrichsen, Kristine Moe; Vellas, Bruno; Wang, Lei; Westman, Eric; Ziegler, Georg C.; Zink, Mathias; Andreassen, Ole Andreas; Westlye, Lars Tjelta (Peer reviewed; Journal article, 2019)
      Common risk factors for psychiatric and other brain disorders are likely to converge on biological pathways influencing the development and maintenance of brain structure and function across life. Using structural MRI data ...
    • Correlations between measures of executive attention and cortical thickness of left posterior middle frontal gyrus - a dichotic listening study 

      Andersson, Martin; Ystad, Martin; Lundervold, Arvid; Lundervold, Astri Johansen (Peer reviewed; Journal article, 2009-10-01)
      Background: The frontal lobe has been associated to a wide range of cognitive control functions and is also vulnerable to degeneration in old age. A recent study by Thomsen and colleagues showed a difference between a young ...
    • Estimating the discretization dependent accuracy of perfusion in coupled capillary flow measurements 

      Hanson, Erik Andreas; Sandmann, Constantin; Malyshev, Alexander; Lundervold, Arvid; Modersitzki, Jan; Hodneland, Erlend (Peer reviewed; Journal article, 2018-07-20)
      One-compartment models are widely used to quantify hemodynamic parameters such as perfusion, blood volume and mean transit time. These parameters are routinely used for clinical diagnosis and monitoring of disease development ...
    • Fractional anisotropy shows differential reduction in frontal-subcortical fiber bundles - A longitudinal MRI study of 76 middle-aged and older adults 

      Vik, Alexandra; Hodneland, Erlend; Haász, Judit; Ystad, Martin Andreas; Lundervold, Astri; Lundervold, Arvid (Peer reviewed; Journal article, 2015-05-15)
      Motivated by the frontal- and white matter (WM) retrogenesis hypotheses and the assumptions that fronto-striatal circuits are especially vulnerable in normal aging, the goal of the present study was to identify fiber bundles ...
    • Generating a synthetic diffusion tensor dataset 

      Bergmann, Ørjan; Lundervold, Arvid; Steihaug, Trond (Peer reviewed; Journal article, 2005)
      During the last years, many techniques for de-noising, segmentation and fiber-tracking have been applied to diffusion tensor MR image data (DTI) from human and animal brains. However, evaluating such methods may be difficult ...
    • Healthy kidney segmentation in the dce-mr images using a convolutional neural network and temporal signal characteristics 

      Klepaczko, Artur; Eikefjord, Eli Nina; Lundervold, Arvid (Journal article; Peer reviewed, 2021)
      Quantification of renal perfusion based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) requires determination of signal intensity time courses in the region of renal parenchyma. Thus, selection of voxels ...
    • Inattention in primary school is not good for your future school achievement — A pattern classification study 

      Lundervold, Astri; Bøe, Tormod; Lundervold, Arvid (Peer reviewed; Journal article, 2017-11-28)
      Inattention in childhood is associated with academic problems later in life. The contribution of specific aspects of inattentive behaviour is, however, less known. We investigated feature importance of primary school ...
    • Kidney Segmentation in Renal Magnetic Resonance Imaging - Current Status and Prospects 

      Zollner, Frank G.; Kocinski, Marek Michal; Hansen, Laura; Golla, Alena-Kathrin; Trbalic, Amira Serifovic; Lundervold, Arvid; Materka, Andrzej; Rogelj, Peter (Journal article; Peer reviewed, 2021)
      Magnetic resonance imaging has achieved an increasingly important role in the clinical work-up of renal diseases such chronic kidney disease (CKD). A large panel of parameters have been proposed to diagnose CKD among them ...
    • Lateral ventricle volume trajectories predict response inhibition in older age-A longitudinal brain imaging and machine learning approach. 

      Lundervold, Astri; Vik, Alexandra; Lundervold, Arvid (Peer reviewed; Journal article, 2019-04-02)
      Objective In a three-wave 6 yrs longitudinal study we investigated if the expansion of lateral ventricle (LV) volumes (regarded as a proxy for brain tissue loss) predicts third wave performance on a test of response ...
    • Longitudinal stability of the brain functional connectome is associated with episodic memory performance in aging 

      Ousdal, Olga Therese; Kaufmann, Tobias; Kolskår, Knut-Kristian; Vik, Alexandra; Wehling, Eike; Lundervold, Astri; Lundervold, Arvid; Westlye, Lars Tjelta (Peer reviewed; Journal article, 2020)
      The brain functional connectome forms a relatively stable and idiosyncratic backbone that can be used for identification or “fingerprinting” of individuals with a high level of accuracy. While previous cross‐sectional ...
    • A multi-layer perceptron network for perfusion parameter estimation in DCE-MRI studies of the healthy kidney 

      Klepaczko, Artur; Strzelecki, Michał; Kociołek, Marcin; Eikefjord, Eli Bjøvad; Lundervold, Arvid (Journal article; Peer reviewed, 2020)
      Background: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is an imaging technique which helps in visualizing and quantifying perfusion—one of the most important indicators of an organ’s state. This paper ...
    • A new framework for assessing subject-specific whole brain circulation and perfusion using MRI-based measurements and a multi-scale continuous flow model 

      Hodneland, Erlend; Hanson, Erik Andreas; Sævareid, Ove; Nævdal, Geir; Lundervold, Arvid; Solteszova, Veronika; Zanna, Antonella; Deistung, Andreas; Reichenbach, Jürgen; Nordbotten, Jan Martin (Peer reviewed; Journal article, 2019-06-25)
      A large variety of severe medical conditions involve alterations in microvascular circulation. Hence, measurements or simulation of circulation and perfusion has considerable clinical value and can be used for diagnostics, ...
    • Normalized gradient fields for nonlinear motion correction of DCE-MRI time series 

      Hodneland, Erlend; Lundervold, Arvid; Rørvik, Jarle; Munthe-Kaas, Antonella Zanna (Peer reviewed; Journal article, 2014-04)
      Dynamic MR image recordings (DCE-MRI) of moving organs using bolus injections create two differenttypes of dynamics in the images: (i) spatial motion artifacts due to patient movements, breathing andphysiological pulsations ...
    • An overview of deep learning in medical imaging focusing on MRI 

      Lundervold, Alexander Selvikvåg; Lundervold, Arvid (Peer reviewed; Journal article, 2018-12-13)
      What has happened in machine learning lately, and what does it mean for the future of medical image analysis? Machine learning has witnessed a tremendous amount of attention over the last few years. The current boom started ...
    • Physical models for simulation and reconstruction of human tissue deformation fields in dynamic MRI 

      Hodneland, Erlend; Hanson, Erik Andreas; Munthe-Kaas, Antonella Z.; Lundervold, Arvid; Nordbotten, Jan Martin (Peer reviewed; Journal article, 2016-10)
      Objective: Medical image registration can be formulated as a tissue deformation problem, where parameter estimation methods are used to obtain the inverse deformation. However, there is limited knowledge about the ability ...