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Prevalence, Persistence, and Molecular Characterization of Glycopeptide-Resistant Enterococci in Norwegian Poultry and Poultry Farmers 3 to 8 Years after the Ban on Avoparcin

Applied and Environmental Microbiology, 2006, Vol.72 (1), p.516-521

2006

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Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients

European journal of nuclear medicine and molecular imaging, 2021-08, Vol.48 (9), p.2782-2792

2021

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Effect of bubble size on ultrasound backscatter from bubble clouds in the context of gas kick detection in boreholes

Scientific reports, 2023-07, Vol.13 (1), p.11825-11825, Article 11825

2023

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Performance of Doppler ultrasound for fluid influx/efflux velocity estimation from borehole fractures in water-based and oil-based muds

Geoenergy Science and Engineering, 2024-08, Vol.239, p.212903, Article 212903

2024

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Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics

Frontiers in medicine, 2023, Vol.10, p.1217037

2023

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Increased high-level gentamicin resistance in invasive Enterococcus faecium is associated with aac(6′)Ie-aph(2″)Ia-encoding transferable megaplasmids hosted by major hospital-adapted lineages

FEMS immunology and medical microbiology, 2012-11, Vol.66 (2), p.166-176

2012

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Automatic gross tumor segmentation of canine head and neck cancer using deep learning and cross-species transfer learning

Frontiers in veterinary science, 2023, Vol.10, p.1143986-1143986

2023

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PCR-based plasmid typing in Enterococcus faecium strains reveals widely distributed pRE25-, pRUM-, pIP501- and pHTβ-related replicons associated with glycopeptide resistance and stabilizing toxin-antitoxin systems

FEMS immunology and medical microbiology, 2010-03, Vol.58 (2), p.254-268

2010

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A comparison of methods for fully automatic segmentation of tumors and involved nodes in PET/CT of head and neck cancers

Physics in medicine & biology, 2021-03, Vol.66 (6), p.065012-065012

2021

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966: Uncertainty in deep learning-based automatic segmentations of head and neck cancer tumors

Radiotherapy and oncology, 2024-05, Vol.194, p.S3034-S3037

2024

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Subpixel segmentation of borehole fractures from low resolution Doppler ultrasound images using machine learning

Geoenergy Science and Engineering, 2024-04, Vol.235, p.212703, Article 212703

2024

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Left-hand preference in visual artists: A pre-registered observational study on Instagram

Laterality (Hove), 2024-03, Vol.29 (2), p.1-198

2024

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Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics

Frontiers in medicine, 2024-05, Vol.11, p.1421603-1421603

2024

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MRI-based automatic segmentation of rectal cancer using 2D U-Net on two independent cohorts

Acta oncologica, 2022-02, Vol.61 (2), p.255-263

2022

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OC-0517 Automatic tumor delineation in rectal cancer using functional MRI and machine learning

Radiotherapy and oncology, 2019-04, Vol.133, p.S269-S270

2019

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Deep learning-based automatic delineation of anal cancer gross tumour volume: a multimodality comparison of CT, PET and MRI

Acta oncologica, 2022-01, Vol.61 (1), p.89-96

2022

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Real-world evidence on perioperative chemotherapy in localized soft tissue sarcoma of the extremities and trunk wall; a population-based study

Acta oncologica, 2022-07, Vol.61 (7), p.793-800

2022

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Deep learning with uncertainty estimation for automatic tumor segmentation in PET/CT of head and neck cancers: impact of model complexity, image processing and augmentation

Biomedical physics & engineering express, 2024-08, Vol.10 (5), p.55038

2024

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PO-0967 Prediction of treatment outcome for head and neck cancers using radiomics of PET/CT images

Radiotherapy and oncology, 2019-04, Vol.133, p.S526-S526

2019

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PO-1009 Comparison of automatic tumour segmentation approaches for head and neck cancers in PET/CT images

Radiotherapy and oncology, 2019-04, Vol.133, p.S557-S557

2019

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Optimization of pulsed-wave Doppler ultrasound for estimation of influx/efflux in oil and gas boreholes while drilling using conventional LWD transducers

Journal of petroleum science & engineering, 2022-11, Vol.218, p.111000, Article 111000

2022

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A comparison of fully automatic segmentation of tumors and involved nodes in PET/CT of head and neck cancers

Physics in medicine & biology, 2021-02

2021

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Semi-automatic tumor segmentation of rectal cancer based on functional magnetic resonance imaging

Physics and imaging in radiation oncology, 2022-04, Vol.22, p.77-84

2022

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Early gas-kick detection while drilling boreholes using ultrasonic LWD transducers

2023 IEEE International Ultrasonics Symposium (IUS), 2023, p.1-4

2023

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Konsulentbistand i saksforberedelsen

Kritisk juss (Online), 2021-01, Vol.51, p.27-45

Tarjei Ellingsen Røsvoll

2021

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Prevalence, Persistence, and Molecular Characterization of Glycopeptide-Resistant Enterococci in Norwegian Poultry and Poultry Farmers 3 to 8 Years after the Ban on Avoparcin

Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients

Effect of bubble size on ultrasound backscatter from bubble clouds in the context of gas kick detection in boreholes

Performance of Doppler ultrasound for fluid influx/efflux velocity estimation from borehole fractures in water-based and oil-based muds

Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics

Increased high-level gentamicin resistance in invasive Enterococcus faecium is associated with aac(6′)Ie-aph(2″)Ia-encoding transferable megaplasmids hosted by major hospital-adapted lineages

Automatic gross tumor segmentation of canine head and neck cancer using deep learning and cross-species transfer learning

PCR-based plasmid typing in Enterococcus faecium strains reveals widely distributed pRE25-, pRUM-, pIP501- and pHTβ-related replicons associated with glycopeptide resistance and stabilizing toxin-antitoxin systems

A comparison of methods for fully automatic segmentation of tumors and involved nodes in PET/CT of head and neck cancers

966: Uncertainty in deep learning-based automatic segmentations of head and neck cancer tumors

Subpixel segmentation of borehole fractures from low resolution Doppler ultrasound images using machine learning

Left-hand preference in visual artists: A pre-registered observational study on Instagram

Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics

MRI-based automatic segmentation of rectal cancer using 2D U-Net on two independent cohorts

OC-0517 Automatic tumor delineation in rectal cancer using functional MRI and machine learning

Deep learning-based automatic delineation of anal cancer gross tumour volume: a multimodality comparison of CT, PET and MRI

Real-world evidence on perioperative chemotherapy in localized soft tissue sarcoma of the extremities and trunk wall; a population-based study

Deep learning with uncertainty estimation for automatic tumor segmentation in PET/CT of head and neck cancers: impact of model complexity, image processing and augmentation

PO-0967 Prediction of treatment outcome for head and neck cancers using radiomics of PET/CT images

PO-1009 Comparison of automatic tumour segmentation approaches for head and neck cancers in PET/CT images

Optimization of pulsed-wave Doppler ultrasound for estimation of influx/efflux in oil and gas boreholes while drilling using conventional LWD transducers

A comparison of fully automatic segmentation of tumors and involved nodes in PET/CT of head and neck cancers

Semi-automatic tumor segmentation of rectal cancer based on functional magnetic resonance imaging

Early gas-kick detection while drilling boreholes using ultrasonic LWD transducers

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