Mans Larsson

Lund, M, Sweden

Last Updated: 09/26/2026

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Found 20 publications

Validation of an AI Method for Automated Lymphoma Metabolic Tumor Volume Segmentation Using a Public Benchmark PET/CT Dataset.

Validation of an AI Method for Automated Lymphoma Metabolic Tumor Volume Segmentation Using a Public Benchmark PET/CT Dataset.

Journal: Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Published: November 04, 2025

Automated RECOMIA AI-based total metabolic tumor volume in lymphoma - a retrospective study.

Automated RECOMIA AI-based total metabolic tumor volume in lymphoma - a retrospective study.

Journal: EJNMMI research
Published: August 14, 2025

coPERCIST: AI-assisted PET-CT response assessment.

coPERCIST: AI-assisted PET-CT response assessment.

Journal: European journal of nuclear medicine and molecular imaging
Published: June 19, 2025

Inter-reader agreement of quantitative FDG PET/CT biomarkers in lymphoma: a multicentre evaluation of MTV, TLG and Dmax.

Inter-reader agreement of quantitative FDG PET/CT biomarkers in lymphoma: a multicentre evaluation of MTV, TLG and Dmax.

Journal: BMC medical imaging
Published: June 19, 2025

Evaluation of [18F]PSMA-1007 uptake variability in patients with prostate cancer.

Evaluation of [18F]PSMA-1007 uptake variability in patients with prostate cancer.

Journal: Clinical physiology and functional imaging
Published: March 28, 2025

A fully automated AI-based method for tumour detection and quantification on [18F]PSMA-1007 PET-CT images in prostate cancer.

A fully automated AI-based method for tumour detection and quantification on [18F]PSMA-1007 PET-CT images in prostate cancer.

Journal: EJNMMI physics
Published: July 23, 2024

NoiseNet, a fully automatic noise assessment tool that can identify non-diagnostic CCTA examinations.

NoiseNet, a fully automatic noise assessment tool that can identify non-diagnostic CCTA examinations.

Journal: The international journal of cardiovascular imaging
Published: November 28, 2023

Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy.

Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy.

Journal: European journal of radiology
Published: November 27, 2023

Improving sensitivity through data augmentation with synthetic lymph node metastases for AI-based analysis of PSMA PET-CT images.

Improving sensitivity through data augmentation with synthetic lymph node metastases for AI-based analysis of PSMA PET-CT images.

Journal: Clinical physiology and functional imaging
Published: November 08, 2023

Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models.

Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models.

Journal: Scientific data
Published: July 06, 2023

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.

Journal: European radiology
Published: June 14, 2023

Pre-diabetes is associated with attenuation rather than volume of epicardial adipose tissue on computed tomography.

Pre-diabetes is associated with attenuation rather than volume of epicardial adipose tissue on computed tomography.

Journal: Scientific reports
Published: September 21, 2022
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Last Updated: 09/26/2026