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Nuclear Medicine and Molecular Imaging
|
March 31, 2023
Artificial Intelligence Increases the Agreement among Physicians Classifying Focal Skeleton/Bone Marrow Uptake in Hodgkin's Lymphoma Patients Staged with [<sup>18</sup>F]FDG PET/CT-a Retrospective Study
May Sadik, Jesús López-Urdaneta, Johannes Ulén, et al.
European Radiology Experimental
|
November 19, 2021
Automated artificial intelligence-based analysis of skeletal muscle volume predicts overall survival after cystectomy for urinary bladder cancer
Thomas Ying, Pablo Borrelli, Lars Edenbrandt, et al.
Scandinavian Journal of Urology
|
May 3, 2024
A novel model of artificial intelligence based automated image analysis of CT urography to identify bladder cancer in patients investigated for macroscopic hematuria
Suleiman Abuhasanein, Lars Edenbrandt, Olof Enqvist, et al.
EJNMMI Physics
|
February 3, 2022
Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer
Pablo Borrelli, José Luis Loaiza Góngora, Reza Kaboteh, et al.
Osteoporosis and Sarcopenia
|
July 22, 2024
AI-based fully automatic image analysis: Optimal abdominal and thoracic segmentation volumes for estimating total muscle volume on computed tomography scans
Thomas Ying, Pablo Borrelli, Lars Edenbrandt, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
April 27, 2022
Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians
Elin Trägårdh, Olof Enqvist, Johannes Ulén, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
September 24, 2016
Automatic pericardium segmentation and quantification of epicardial fat from computed tomography angiography
Alexander Norlén, Jennifer Alvén, David Molnar, 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.
Clinical Physiology and Functional Imaging
|
November 4, 2022
Common carotid segmentation in <sup>18</sup> F-sodium fluoride PET/CT scans: Head-to-head comparison of artificial intelligence-based and manual method
Reza Piri, Yaran Hamakan, Ask Vang, et al.
Scientific Reports
|
May 18, 2021
Artificial intelligence could alert for focal skeleton/bone marrow uptake in Hodgkin's lymphoma patients staged with FDG-PET/CT
May Sadik, Jesús López-Urdaneta, Johannes Ulén, et al.
Page
of 5
Search research articles
Search
Showing results (21-30 of 50) with videos related to
Sort By:
Page
of 5
Nuclear Medicine and Molecular Imaging
|
March 31, 2023
Artificial Intelligence Increases the Agreement among Physicians Classifying Focal Skeleton/Bone Marrow Uptake in Hodgkin's Lymphoma Patients Staged with [<sup>18</sup>F]FDG PET/CT-a Retrospective Study
May Sadik, Jesús López-Urdaneta, Johannes Ulén, et al.
European Radiology Experimental
|
November 19, 2021
Automated artificial intelligence-based analysis of skeletal muscle volume predicts overall survival after cystectomy for urinary bladder cancer
Thomas Ying, Pablo Borrelli, Lars Edenbrandt, et al.
Scandinavian Journal of Urology
|
May 3, 2024
A novel model of artificial intelligence based automated image analysis of CT urography to identify bladder cancer in patients investigated for macroscopic hematuria
Suleiman Abuhasanein, Lars Edenbrandt, Olof Enqvist, et al.
EJNMMI Physics
|
February 3, 2022
Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer
Pablo Borrelli, José Luis Loaiza Góngora, Reza Kaboteh, et al.
Osteoporosis and Sarcopenia
|
July 22, 2024
AI-based fully automatic image analysis: Optimal abdominal and thoracic segmentation volumes for estimating total muscle volume on computed tomography scans
Thomas Ying, Pablo Borrelli, Lars Edenbrandt, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
April 27, 2022
Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians
Elin Trägårdh, Olof Enqvist, Johannes Ulén, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
September 24, 2016
Automatic pericardium segmentation and quantification of epicardial fat from computed tomography angiography
Alexander Norlén, Jennifer Alvén, David Molnar, 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.
Clinical Physiology and Functional Imaging
|
November 4, 2022
Common carotid segmentation in <sup>18</sup> F-sodium fluoride PET/CT scans: Head-to-head comparison of artificial intelligence-based and manual method
Reza Piri, Yaran Hamakan, Ask Vang, et al.
Scientific Reports
|
May 18, 2021
Artificial intelligence could alert for focal skeleton/bone marrow uptake in Hodgkin's lymphoma patients staged with FDG-PET/CT
May Sadik, Jesús López-Urdaneta, Johannes Ulén, et al.
Page
of 5