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Scientific Data
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February 29, 2024
Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models
Muhammad Usman Akbar, Måns Larsson, Ida Blystad, et al.
European Journal of Radiology
|
July 19, 2024
Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy
Daniel Förnvik, Signe Borgquist, Måns Larsson, et al.
Clinical Physiology and Functional Imaging
|
April 2, 2024
Improving sensitivity through data augmentation with synthetic lymph node metastases for AI-based analysis of PSMA PET-CT images
Elin Trägårdh, Johannes Ulén, Olof Enqvist, et al.
Clinical Physiology and Functional Imaging
|
June 15, 2025
Evaluation of [18F]PSMA-1007 uptake variability in patients with prostate cancer
Elin Trägårdh, Måns Larsson, David Minarik, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
March 5, 2026
Validation of an AI Method for Automated Lymphoma Metabolic Tumor Volume Segmentation Using a Public Benchmark PET/CT Dataset
May Sadik, Måns Larsson, Olof Enqvist, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
October 21, 2025
coPERCIST: AI-assisted PET-CT response assessment
Elin Trägårdh, Måns Larsson, Olof Enqvist, et al.
EJNMMI Physics
|
August 20, 2025
A fully automated AI-based method for tumour detection and quantification on [<sup>18</sup>F]PSMA-1007 PET-CT images in prostate cancer
Elin Trägårdh, Johannes Ulén, Olof Enqvist, et al.
The International Journal of Cardiovascular Imaging
|
May 15, 2024
NoiseNet, a fully automatic noise assessment tool that can identify non-diagnostic CCTA examinations
Emma Palmquist, Jennifer Alvén, Michael Kercsik, et al.
Scientific Reports
|
January 28, 2023
Pre-diabetes is associated with attenuation rather than volume of epicardial adipose tissue on computed tomography
David Molnar, Elias Björnson, Måns Larsson, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
May 13, 2021
Aortic wall segmentation in <sup>18</sup>F-sodium fluoride PET/CT scans: Head-to-head comparison of artificial intelligence-based versus manual segmentation
Reza Piri, Lars Edenbrandt, Måns Larsson, et al.
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Search research articles
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Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
Scientific Data
|
February 29, 2024
Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models
Muhammad Usman Akbar, Måns Larsson, Ida Blystad, et al.
European Journal of Radiology
|
July 19, 2024
Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy
Daniel Förnvik, Signe Borgquist, Måns Larsson, et al.
Clinical Physiology and Functional Imaging
|
April 2, 2024
Improving sensitivity through data augmentation with synthetic lymph node metastases for AI-based analysis of PSMA PET-CT images
Elin Trägårdh, Johannes Ulén, Olof Enqvist, et al.
Clinical Physiology and Functional Imaging
|
June 15, 2025
Evaluation of [18F]PSMA-1007 uptake variability in patients with prostate cancer
Elin Trägårdh, Måns Larsson, David Minarik, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
March 5, 2026
Validation of an AI Method for Automated Lymphoma Metabolic Tumor Volume Segmentation Using a Public Benchmark PET/CT Dataset
May Sadik, Måns Larsson, Olof Enqvist, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
October 21, 2025
coPERCIST: AI-assisted PET-CT response assessment
Elin Trägårdh, Måns Larsson, Olof Enqvist, et al.
EJNMMI Physics
|
August 20, 2025
A fully automated AI-based method for tumour detection and quantification on [<sup>18</sup>F]PSMA-1007 PET-CT images in prostate cancer
Elin Trägårdh, Johannes Ulén, Olof Enqvist, et al.
The International Journal of Cardiovascular Imaging
|
May 15, 2024
NoiseNet, a fully automatic noise assessment tool that can identify non-diagnostic CCTA examinations
Emma Palmquist, Jennifer Alvén, Michael Kercsik, et al.
Scientific Reports
|
January 28, 2023
Pre-diabetes is associated with attenuation rather than volume of epicardial adipose tissue on computed tomography
David Molnar, Elias Björnson, Måns Larsson, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
May 13, 2021
Aortic wall segmentation in <sup>18</sup>F-sodium fluoride PET/CT scans: Head-to-head comparison of artificial intelligence-based versus manual segmentation
Reza Piri, Lars Edenbrandt, Måns Larsson, et al.
Page
of 2