Johan Jendeberg
Title: Affiliated Researcher School/office: School of Medical SciencesEmail: johan.jendeberg@oru.se
Phone: +46 19 303000
Room: -
Research subject
Research projects
Active projects
- SAND 4 - Can we make single energy CT perform as good as dual energy CT in differentiating urinary acid stones from other urinary stones?
- SAND-projektet
- Urinary Stone Image Analysis Data Bank - SAND-projektet
Completed projects
Publications
Articles in journals |
Conference papers |
Doctoral theses, comprehensive summaries |
Manuscripts |
Articles in journals
- Jendeberg, J. , Thunberg, P. & Lidén, M. (2021). Differentiation of distal ureteral stones and pelvic phleboliths using a convolutional neural network. Urolithiasis, 49, 41-49.
- Jendeberg, J. , Thunberg, P. , Popiolek, M. & Lidén, M. (2021). Single-energy CT predicts uric acid stones with accuracy comparable to dual-energy CT-prospective validation of a quantitative method. European Radiology, 31 (8), 5980-5989.
- Längkvist, M. , Jendeberg, J. , Thunberg, P. , Loutfi, A. & Lidén, M. (2018). Computer aided detection of ureteral stones in thin slice computed tomography volumes using Convolutional Neural Networks. Computers in Biology and Medicine, 97, 153-160.
- Jendeberg, J. , Geijer, H. , Alshamari, M. & Lidén, M. (2018). Prediction of spontaneous ureteral stone passage: Automated 3D-measurements perform equal to radiologists, and linear measurements equal to volumetric. European Radiology, 28 (6), 2474-2483.
- Alshamari, M. , Geijer, M. , Norrman, E. , Lidén, M. , Krauss, W. , Jendeberg, J. , Magnuson, A. & Geijer, H. (2017). Impact of iterative reconstruction on image quality of low-dose CT of the lumbar spine. Acta Radiologica, 58 (6), 702-709.
- Jendeberg, J. , Geijer, H. , Alshamari, M. , Cierzniak, B. & Lidén, M. (2017). Size matters: The width and location of a ureteral stone accurately predict the chance of spontaneous passage. European Radiology, 27 (11), 4775-4785.
- Andersson, K. M. , Norrman, E. , Geijer, H. , Krauss, W. , Cao, Y. , Jendeberg, J. , Geijer, M. , Lidén, M. & et al. (2016). Visual grading evaluation of commercially available metal artefact reduction techniques in hip prosthesis computed tomography. British Journal of Radiology, 89 (1063).
Conference papers
- Lidén, M. , Jendeberg, J. , Längkvist, M. , Loutfi, A. & Thunberg, P. (2018). Discrimination between distal ureteral stones and pelvic phleboliths in CT using a deep neural network: more than local features needed. Paper presented at European Congress of Radiology (ECR) 2018, Vienna, Austria, 28 Feb.-4 Mar., 2018.
- Jendeberg, J. , Cierzniak, B. , Alshamari, M. , Geijer, H. & Lidén, M. (2016). Prognosis of spontaneous ureteral stone passage: as revealed by CT. Paper presented at European Congress of Radiology 2016, Vienna, Austria, 2-6 Mars, 2016.
Doctoral theses, comprehensive summaries
- Jendeberg, J. (2021). Non-enhanced single-energy computed tomography of urinary stones. (Doctoral dissertation). (Comprehensive summary) Örebro: Örebro University.
Manuscripts
- Alshamari, M. , Geijer, M. , Norrman, E. , Lidén, M. , Krauss, W. , Jendeberg, J. , Magnuson, A. & Geijer, H. Impact of iterative reconstruction on image quality of low-dose CT of the lumbar spine.
- Jendeberg, J. , Thunberg, P. , Popiolek, M. & Lidén, M. Single-energy CT predicts uric acid stones with accuracy comparableto dual-energy CT : Prospective validation of a quantitative method.