Peter Lauritzen

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Adjunct Associate Professor

OsloMet – Oslo Metropolitan University

Norway

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About

Peter Lauritzen is an Adjunct Associate Professor at OsloMet – Oslo Metropolitan University in Norway. His research areas include diagnostic imaging in medical contexts, with recent articles focusing on the quality of referrals for imaging in various medical conditions, assessment of urinary stones, and age prediction using MRI segmentation techniques. He has contributed significantly to understanding the diagnostic accuracies of different imaging modalities and their implications in patient care.

Recent Grants

Grant: Close

Routine duble reading of radiological examinations - an evaluation of drawbacks and benefits

Open Date: 2012-09-01

Close Date: 2016-01-01

Articles (11)

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2025

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2023

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2023

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2021

Collaborators (1)

Ingvild Paur

NORWAY

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Peter Lauritzen

Research Interests

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Recent Grants

Articles (11)

Quality of referrals and adherence to guidelines for adult patients with minimal to moderate head injuries in a selection of Norwegian hospitals

Letter to editor regarding the published manuscript: “A prospective comparison of the diagnostic accuracies of ultrasound and magnetic resonance imaging in preoperative staging of endometrial cancer”

Urinary stone assessment in a single-phase may replace the unenhanced and multiphase computed tomography protocol in painless visible haematuria

MRI segmentation of tooth tissue in age prediction of sub-adults — a new method for combining data from the 1st, 2nd, and 3rd molars

Quality of referrals for lower extremity ultrasonography and computed tomography pulmonary angiography and associations with positive findings of venous thromboembolism

The choice of diagnostic modality influences the proportion of low muscle strength, low muscle mass, and sarcopenia in colorectal cancer patients

Halved contrast medium dose coronary dual-layer CT-angiography – phantom study of tube current and patient characteristics

Effect of a one-year personalized intensive dietary intervention on body composition in colorectal cancer patients: Results from a randomized controlled trial

Prediction of Age Older than 18 Years in Sub-adults by MRI Segmentation of 1st and 2nd Molars

Age prediction in sub-adults based on MRI segmentation of 3rd molar tissue volumes

Quantification of adipose tissues by Dual-Energy X-Ray Absorptiometry and Computed Tomography in colorectal cancer patients

Collaborators (1)

Ingvild Paur

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