To the top

Page Manager: Webmaster
Last update: 4/19/2017 1:56 PM

Tell a friend about this page
Print version

Lars Edenbrandt - University of Gothenburg, Sweden Till startsida
Sitemap
To content Read more about how we use cookies on gu.se

Lars Edenbrandt

Professor/ chief physician

Lars Edenbrandt
Professor/ chief physician
lars.edenbrandt@gu.se

Postal Address: Su sahlgrenska, 41345 Göteborg
Visiting Address: Nuklearmedicin , Göteborg


Department of Molecular and Clinical Medicine at Institute of Medicine (More Information)
SU Sahlgrenska
413 45 Göteborg
Fax: +46 31823762
Visiting Address: Blå stråket 5 B Wallenberglab/SU , 413 45 Göteborg

Latest publications

Bone scan index as a biomarker of bone metastasis
K. Nakajima, Lars Edenbrandt
Hormone Therapy and Castration Resistance of Prostate Cancer, Ed: Yoichi AraiOsamu Ogawa, Singapore, Springer, Chapter in book 2018
Chapter in book

Artificial neural network retrained to detect myocardial ischemia using a Japanese multicenter database
K. Nakajima, K. Okuda, S. Watanabe, S. Matsuo, S. Kinuya et al.
Annals of Nuclear Medicine, Journal article 2018
Journal article

Diagnostic accuracy of an artificial neural network compared with statistical quantitation of myocardial perfusion images: a Japanese multicenter study
K. Nakajima, T. Kudo, T. Nakata, K. Kiso, T. Kasai et al.
European Journal of Nuclear Medicine and Molecular Imaging, Journal article 2017
Journal article

Bone scan index: A new biomarker of bone metastasis in patients with prostate cancer
K. Nakajima, Lars Edenbrandt, A. Mizokami
International Journal of Urology, Journal article 2017
Journal article

Reducing the small-heart effect in pediatric gated myocardial perfusion single-photon emission computed tomography
H. Yoneyama, K. Nakajima, K. Okuda, S. Matsuo, M. Onoguchi et al.
Journal of Nuclear Cardiology, Journal article 2017
Journal article

Diagnostic Performance of Artificial Neural Network for Detecting Ischemia in Myocardial Perfusion Imaging
K. Nakajima, S. Matsuo, H. Wakabayashi, K. Yokoyama, H. Bunko et al.
Circulation Journal, Journal article 2015
Journal article

Investigation of computer-aided diagnosis system for bone scans: a retrospective analysis in 406 patients
O. Tokuda, Y. Harada, Y. Ohishi, N. Matsunaga, Lars Edenbrandt
Annals of Nuclear Medicine, Journal article 2014
Journal article

Enhanced diagnostic accuracy for quantitative bone scan using an artificial neural network system: A Japanese multi-center database project
K. Nakajima, Y. Nakajima, H. Horikoshi, M. Ueno, H. Wakabayashi et al.
EJNMMI Research, Journal article 2013
Journal article

I-123-FP-Cit and I-123-IBZM SPECT uptake in a prospective normal material analysed with two different semiquantitative image evaluation tools
Susanna Jakobson Mo, A. Larsson, J. Linder, R. Birgander, Lars Edenbrandt et al.
Nuclear Medicine Communications, Journal article 2013
Journal article

Showing 1 - 10 of 27

2018

Bone scan index as a biomarker of bone metastasis
K. Nakajima, Lars Edenbrandt
Hormone Therapy and Castration Resistance of Prostate Cancer, Ed: Yoichi AraiOsamu Ogawa, Singapore, Springer, Chapter in book 2018
Chapter in book

Artificial neural network retrained to detect myocardial ischemia using a Japanese multicenter database
K. Nakajima, K. Okuda, S. Watanabe, S. Matsuo, S. Kinuya et al.
Annals of Nuclear Medicine, Journal article 2018
Journal article

2017

Diagnostic accuracy of an artificial neural network compared with statistical quantitation of myocardial perfusion images: a Japanese multicenter study
K. Nakajima, T. Kudo, T. Nakata, K. Kiso, T. Kasai et al.
European Journal of Nuclear Medicine and Molecular Imaging, Journal article 2017
Journal article

Bone scan index: A new biomarker of bone metastasis in patients with prostate cancer
K. Nakajima, Lars Edenbrandt, A. Mizokami
International Journal of Urology, Journal article 2017
Journal article

Reducing the small-heart effect in pediatric gated myocardial perfusion single-photon emission computed tomography
H. Yoneyama, K. Nakajima, K. Okuda, S. Matsuo, M. Onoguchi et al.
Journal of Nuclear Cardiology, Journal article 2017
Journal article

2015

Diagnostic Performance of Artificial Neural Network for Detecting Ischemia in Myocardial Perfusion Imaging
K. Nakajima, S. Matsuo, H. Wakabayashi, K. Yokoyama, H. Bunko et al.
Circulation Journal, Journal article 2015
Journal article

2014

Investigation of computer-aided diagnosis system for bone scans: a retrospective analysis in 406 patients
O. Tokuda, Y. Harada, Y. Ohishi, N. Matsunaga, Lars Edenbrandt
Annals of Nuclear Medicine, Journal article 2014
Journal article

2013

Enhanced diagnostic accuracy for quantitative bone scan using an artificial neural network system: A Japanese multi-center database project
K. Nakajima, Y. Nakajima, H. Horikoshi, M. Ueno, H. Wakabayashi et al.
EJNMMI Research, Journal article 2013
Journal article

I-123-FP-Cit and I-123-IBZM SPECT uptake in a prospective normal material analysed with two different semiquantitative image evaluation tools
Susanna Jakobson Mo, A. Larsson, J. Linder, R. Birgander, Lars Edenbrandt et al.
Nuclear Medicine Communications, Journal article 2013
Journal article

Showing 1 - 10 of 27

Page Manager: Webmaster|Last update: 4/19/2017
Share:

The University of Gothenburg uses cookies to provide you with the best possible user experience. By continuing on this website, you approve of our use of cookies.  What are cookies?