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Lars Edenbrandt

Showing results (51-60 of 130) with videos related to

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European Journal of Nuclear Medicine and Molecular Imaging|May 16, 2003
Role of ventilation scintigraphy in diagnosis of acute pulmonary embolism: an evaluation using artificial neural networksEva Evander, Holger Holst, Andreas Järund, et al.
EJNMMI Physics|August 6, 2020
RECOMIA-a cloud-based platform for artificial intelligence research in nuclear medicine and radiologyElin Trägårdh, Pablo Borrelli, Reza Kaboteh, 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 cancerElin Trägårdh, Johannes Ulén, Olof Enqvist, et al.
Clinical Physiology and Functional Imaging|October 18, 2006
Subendocardial versus transmural ischaemia in myocardial perfusion SPECT--a Monte Carlo studyJolanta Bartosik, Henrik Hussein El-Ali, Ulf Nilsson, et al.
EJNMMI Research|August 17, 2013
Progression of bone metastases in patients with prostate cancer - automated detection of new lesions and calculation of bone scan indexReza Kaboteh, Peter Gjertsson, Håkan Leek, et al.
European Radiology Experimental|March 11, 2021
Artificial intelligence-aided CT segmentation for body composition analysis: a validation studyPablo Borrelli, Reza Kaboteh, Olof Enqvist, et al.
EJNMMI Physics|March 26, 2021
AI-based detection of lung lesions in [<sup>18</sup>F]FDG PET-CT from lung cancer patientsPablo Borrelli, John Ly, Reza Kaboteh, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|May 21, 2016
Reducing the small-heart effect in pediatric gated myocardial perfusion single-photon emission computed tomographyHiroto Yoneyama, Kenichi Nakajima, Koichi Okuda, et al.
Annals of Nuclear Medicine|March 9, 2018
Artificial neural network retrained to detect myocardial ischemia using a Japanese multicenter databaseKenichi Nakajima, Koichi Okuda, Satoru Watanabe, et al.
EJNMMI Research|August 14, 2015
Perfusion vector-a new method to quantify myocardial perfusion scintigraphy images: a simulation study with validation in patientsDavid Minarik, Martin Senneby, Per Wollmer, et al.
Pageof 13

Showing results (51-60 of 130) with videos related to

Sort By:
Pageof 13
European Journal of Nuclear Medicine and Molecular Imaging|May 16, 2003
Role of ventilation scintigraphy in diagnosis of acute pulmonary embolism: an evaluation using artificial neural networksEva Evander, Holger Holst, Andreas Järund, et al.
EJNMMI Physics|August 6, 2020
RECOMIA-a cloud-based platform for artificial intelligence research in nuclear medicine and radiologyElin Trägårdh, Pablo Borrelli, Reza Kaboteh, 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 cancerElin Trägårdh, Johannes Ulén, Olof Enqvist, et al.
Clinical Physiology and Functional Imaging|October 18, 2006
Subendocardial versus transmural ischaemia in myocardial perfusion SPECT--a Monte Carlo studyJolanta Bartosik, Henrik Hussein El-Ali, Ulf Nilsson, et al.
EJNMMI Research|August 17, 2013
Progression of bone metastases in patients with prostate cancer - automated detection of new lesions and calculation of bone scan indexReza Kaboteh, Peter Gjertsson, Håkan Leek, et al.
European Radiology Experimental|March 11, 2021
Artificial intelligence-aided CT segmentation for body composition analysis: a validation studyPablo Borrelli, Reza Kaboteh, Olof Enqvist, et al.
EJNMMI Physics|March 26, 2021
AI-based detection of lung lesions in [<sup>18</sup>F]FDG PET-CT from lung cancer patientsPablo Borrelli, John Ly, Reza Kaboteh, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|May 21, 2016
Reducing the small-heart effect in pediatric gated myocardial perfusion single-photon emission computed tomographyHiroto Yoneyama, Kenichi Nakajima, Koichi Okuda, et al.
Annals of Nuclear Medicine|March 9, 2018
Artificial neural network retrained to detect myocardial ischemia using a Japanese multicenter databaseKenichi Nakajima, Koichi Okuda, Satoru Watanabe, et al.
EJNMMI Research|August 14, 2015
Perfusion vector-a new method to quantify myocardial perfusion scintigraphy images: a simulation study with validation in patientsDavid Minarik, Martin Senneby, Per Wollmer, et al.
Pageof 13