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Reza Kaboteh

Showing results (1-10 of 21) with videos related to

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Clinical Physiology and Functional Imaging|April 11, 2018
Evaluation of changes in Bone Scan Index at different acquisition time-points in bone scintigraphyReza Kaboteh, David Minarik, Mariana Reza, et al.
BMC Medical Imaging|May 6, 2018
A prospective study to evaluate the intra-individual reproducibility of bone scans for quantitative assessment in patients with metastatic prostate cancerMariana Reza, Reza Kaboteh, May Sadik, et al.
Clinical Physiology and Functional Imaging|June 27, 2022
Automated classification of PET-CT lesions in lung cancer: An independent validation studyPablo Borrelli, José Luis Loaiza Góngora, Reza Kaboteh, 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.
EJNMMI Research|November 12, 2014
Bone Scan Index as a prognostic imaging biomarker during androgen deprivation therapyMariana Reza, Anders Bjartell, Mattias Ohlsson, 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.
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.
EJNMMI Research|February 7, 2013
Bone Scan Index: a prognostic imaging biomarker for high-risk prostate cancer patients receiving primary hormonal therapyReza Kaboteh, Jan-Erik Damber, Peter Gjertsson, 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 scansThomas Ying, Pablo Borrelli, Lars Edenbrandt, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Clinical Physiology and Functional Imaging|April 11, 2018
Evaluation of changes in Bone Scan Index at different acquisition time-points in bone scintigraphyReza Kaboteh, David Minarik, Mariana Reza, et al.
BMC Medical Imaging|May 6, 2018
A prospective study to evaluate the intra-individual reproducibility of bone scans for quantitative assessment in patients with metastatic prostate cancerMariana Reza, Reza Kaboteh, May Sadik, et al.
Clinical Physiology and Functional Imaging|June 27, 2022
Automated classification of PET-CT lesions in lung cancer: An independent validation studyPablo Borrelli, José Luis Loaiza Góngora, Reza Kaboteh, 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.
EJNMMI Research|November 12, 2014
Bone Scan Index as a prognostic imaging biomarker during androgen deprivation therapyMariana Reza, Anders Bjartell, Mattias Ohlsson, 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.
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.
EJNMMI Research|February 7, 2013
Bone Scan Index: a prognostic imaging biomarker for high-risk prostate cancer patients receiving primary hormonal therapyReza Kaboteh, Jan-Erik Damber, Peter Gjertsson, 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 scansThomas Ying, Pablo Borrelli, Lars Edenbrandt, et al.
Pageof 3