Fredrik Langkilde
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View article: Evaluation of AI for prostate cancer detection in biparametric-MRI screening population data
Evaluation of AI for prostate cancer detection in biparametric-MRI screening population data Open
Objective The goal of this study was to curate a prostate MRI dataset from a screening population and to train and evaluate a deep-learning segmentation method on the same data. Materials and methods An artificial intelligence (AI) system,…
View article: Study design and procedures in the incontinence post robot-assisted radical prostatectomy: anatomical and functional causes (IPA) – a prospective observational clinical trial
Study design and procedures in the incontinence post robot-assisted radical prostatectomy: anatomical and functional causes (IPA) – a prospective observational clinical trial Open
Objective: To describe the study design and procedures of the incontinence post robot- assisted radical prostatectomy, anatomical and functional causes (IPA) trial. This trial aims to identify and study patient and procedure specific facto…
View article: Manual prostate MRI segmentation by readers with different experience: a study of the learning progress
Manual prostate MRI segmentation by readers with different experience: a study of the learning progress Open
View article: Truly reproducible uniform estimation of the <scp>ADC</scp> with multi‐b diffusion data— Application in prostate diffusion imaging
Truly reproducible uniform estimation of the <span>ADC</span> with multi‐b diffusion data— Application in prostate diffusion imaging Open
Purpose The ADC is a well‐established parameter for clinical diagnostic applications, but lacks reproducibility because it is also influenced by the choice diffusion weighting level. A framework is evaluated that is based on multi‐b measur…
View article: Prostate Cancer <scp>Diffusion‐Weighted Magnetic Resonance Imaging</scp>: Does the Choice of <scp>Diffusion‐Weighting</scp> Level Matter?
Prostate Cancer <span>Diffusion‐Weighted Magnetic Resonance Imaging</span>: Does the Choice of <span>Diffusion‐Weighting</span> Level Matter? Open
Background Diffusion‐weighted magnetic resonance imaging plays an important role in multiparametric assessment of prostate lesions. The derived apparent diffusion coefficient (ADC) could be a useful quantitative biomarker for malignant gro…
View article: Optimized bias and signal inference in diffusion‐weighted image analysis (OBSIDIAN)
Optimized bias and signal inference in diffusion‐weighted image analysis (OBSIDIAN) Open
Purpose Correction of Rician signal bias in magnitude MR images. Methods A model‐based, iterative fitting procedure is used to simultaneously estimate true signal and underlying Gaussian noise with standard deviation on a pixel‐by‐pixel ba…
View article: Evaluation of fitting models for prostate tissue characterization using extended‐range b‐factor diffusion‐weighted imaging
Evaluation of fitting models for prostate tissue characterization using extended‐range b‐factor diffusion‐weighted imaging Open
Purpose To compare the fitting and tissue discrimination performance of biexponential, kurtosis, stretched exponential, and gamma distribution models for high b‐factor diffusion‐weighted images in prostate cancer. Methods Diffusion‐weighte…