Blar i HVL Open på forfatter "Lundervold, Arvid"
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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, ... -
An overview of deep learning in medical imaging focusing on MRI
Lundervold, Alexander Selvikvåg; Lundervold, Arvid (Journal article; Peer reviewed, 2018)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 ... -
Automated segmentation of endometrial cancer on MR images using deep learning
Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Solteszova, Veronika; Munthe-Kaas, Antonella Zanna; 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 ... -
Bio-psycho-social factors’ associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants
Korbmacher, Max; Gurholt, Tiril Pedersen; de Lange, Ann Marie; Van der meer, Dennis; Beck, Dani; Eikefjord, Eli Nina; Lundervold, Arvid; Andreassen, Ole; Maximov, Ivan (Peer reviewed; Journal article, 2023)Brain age refers to age predicted by brain features. Brain age has previously been associated with various health and disease outcomes and suggested as a potential biomarker of general health. Few previous studies have ... -
Brain age estimates from different white matter microstructure features associate concordantly with bio-psycho-social factors.
Korbmacher, Max; Gurholt, Tiril Pedersen; de Lange, Ann-Marie Glasø; van der Meer, Dennis; Beck, Dani; Eikefjord, Eli Nina Hølleland; Lundervold, Arvid; Andreassen, Ole; Westlye, Lars Tjelta; Maximov, Ivan (Lecture, 2023) -
Brain‐wide associations between white matter and age highlight the role of fornix microstructure in brain ageing
Korbmacher, Max; de Lange, Ann-Marie; van der Meer, Dennis; Beck, Dani; Eikefjord, Eli Nina; Lundervold, Arvid; Andreassen, Ole; Westlye, Lars Tjelta; Maximov, Ivan (Peer reviewed; Journal article, 2023)Unveiling the details of white matter (WM) maturation throughout ageing is a fundamental question for understanding the ageing brain. In an extensive comparison of brain age predictions and age-associations of WM features ... -
Fornix and forceps are key regions of white matter brain age
Korbmacher, Max; de Lange, Ann-Marie Glasø; van der Meer, Dennis; Beck, Dani; Eikefjord, Eli Nina Hølleland; Lundervold, Arvid; Andreassen, Ole; Westlye, Lars Tjelta; Maximov, Ivan (Lecture, 2023) -
Healthy kidney segmentation in the DCE-MR images using a convolutional neural network and temporal signal characteristics
Klepaczko, Artur; Eikefjord, Eli Nina; Lundervold, Arvid (Peer reviewed; Journal article, 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 ... -
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 (Peer reviewed; Journal article, 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 ... -
Pulmonary Nodule Classification in Lung Cancer from 3D Thoracic CT Scans Using fastai and MONAI
Kaliyugarasan, Sathiesh Kumar; Lundervold, Arvid; Lundervold, Alexander Selvikvåg (Peer reviewed; Journal article, 2021)We construct a convolutional neural network to classify pulmonary nodules as malignant or benign in the context of lung cancer. To construct and train our model, we use our novel extension of the fastai deep learning ... -
Regional grey and white matter asymmetry decreases at higher ages
Korbmacher, Max; de Lange, Ann-Marie Glasø; van der Meer, Dennis; Beck, Dani; Eikefjord, Eli Nina Hølleland; Lundervold, Arvid; Andreassen, Ole; Westlye, Lars Tjelta; Maximov, Ivan (Lecture, 2023) -
White matter microstructure is predictive of cardiometabolic health
Korbmacher, Max; Gurholt, Tiril Pedersen; de Lange, Ann-Marie Glasø; van der Meer, Dennis; Beck, Dani; Eikefjord, Eli Nina Hølleland; Lundervold, Arvid; Andreassen, Ole; Westlye, Lars Tjelta; Maximov, Ivan (Lecture, 2023)