Reza Kaboteh
Overview
Explore the profile of Reza Kaboteh including associated specialties, affiliations and a list of published articles.
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21
Citations
340
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Recent Articles
1.
Ying T, Borrelli P, Edenbrandt L, Enqvist O, Kaboteh R, Tragardh E, et al.
Osteoporos Sarcopenia
. 2024 Jul;
10(2):78-83.
PMID: 39035229
Objectives: Evaluation of sarcopenia from computed tomography (CT) is often based on measuring skeletal muscle area on a single transverse slice. Automatic segmentation of muscle volume has a lower variance...
2.
Borrelli P, Gongora J, Kaboteh R, Enqvist O, Edenbrandt L
Clin Physiol Funct Imaging
. 2022 Jun;
42(5):327-332.
PMID: 35760559
Introduction: Recently, a tool called the positron emission tomography (PET)-assisted reporting system (PARS) was developed and presented to classify lesions in PET/computed tomography (CT) studies in patients with lung cancer...
3.
Borrelli P, Gongora J, Kaboteh R, Ulen J, Enqvist O, Tragardh E, et al.
EJNMMI Phys
. 2022 Feb;
9(1):6.
PMID: 35113252
Background: Metabolic positron emission tomography/computed tomography (PET/CT) parameters describing tumour activity contain valuable prognostic information, but to perform the measurements manually leads to both intra- and inter-reader variability and is...
4.
Ying T, Borrelli P, Edenbrandt L, Enqvist O, Kaboteh R, Tragardh E, et al.
Eur Radiol Exp
. 2021 Nov;
5(1):50.
PMID: 34796422
Background: Radical cystectomy for urinary bladder cancer is a procedure associated with a high risk of complications, and poor overall survival (OS) due to both patient and tumour factors. Sarcopenia...
5.
Borrelli P, Ly J, Kaboteh R, Ulen J, Enqvist O, Tragardh E, et al.
EJNMMI Phys
. 2021 Mar;
8(1):32.
PMID: 33768311
Background: [F]-fluorodeoxyglucose (FDG) positron emission tomography with computed tomography (PET-CT) is a well-established modality in the work-up of patients with suspected or confirmed diagnosis of lung cancer. Recent research efforts...
6.
Borrelli P, Kaboteh R, Enqvist O, Ulen J, Tragardh E, Kjolhede H, et al.
Eur Radiol Exp
. 2021 Mar;
5(1):11.
PMID: 33694046
Background: Body composition is associated with survival outcome in oncological patients, but it is not routinely calculated. Manual segmentation of subcutaneous adipose tissue (SAT) and muscle is time-consuming and therefore...
7.
Tragardh E, Borrelli P, Kaboteh R, Gillberg T, Ulen J, Enqvist O, et al.
EJNMMI Phys
. 2020 Aug;
7(1):51.
PMID: 32754893
Background: Artificial intelligence (AI) is about to transform medical imaging. The Research Consortium for Medical Image Analysis (RECOMIA), a not-for-profit organisation, has developed an online platform to facilitate collaboration between...
8.
Polymeri E, Sadik M, Kaboteh R, Borrelli P, Enqvist O, Ulen J, et al.
Clin Physiol Funct Imaging
. 2019 Dec;
40(2):106-113.
PMID: 31794112
Aim: To validate a deep-learning (DL) algorithm for automated quantification of prostate cancer on positron emission tomography/computed tomography (PET/CT) and explore the potential of PET/CT measurements as prognostic biomarkers. Material...
9.
Lindgren Belal S, Sadik M, Kaboteh R, Hasani N, Enqvist O, Svarm L, et al.
EJNMMI Res
. 2019 May;
9(1):44.
PMID: 31111337
Following publication of the original article [1], the authors flagged the that the Kaplan-Meier curve in Fig. 6 is a duplication of the Kaplan-Meier curve in Fig. 5, which is...
10.
Lindgren Belal S, Sadik M, Kaboteh R, Enqvist O, Ulen J, Poulsen M, et al.
Eur J Radiol
. 2019 Apr;
113:89-95.
PMID: 30927965
Purpose: The aim of this study was to develop a deep learning-based method for segmentation of bones in CT scans and test its accuracy compared to manual delineation, as a...