Anders Bjartell

A prospective study to evaluate the intra-individual reproducibility of bone scans for quantitative assessment in patients with metastatic prostate cancer

Elin Trägårdh, May Sadik, Mariana Reza, 2018, BMC Medical Imaging.

Generalization of prostate cancer classification for multiple sites using deep learning

Anders Heyden, Kalle Åström, Niels Christian Overgaard, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Automatic Gleason grading of H and E stained microscopic prostate images using deep convolutional neural networks

Mattias Ohlsson, Anders Heyden, Kalle Åström, 2017, Medical Imaging.

Automatic registration of multi-modal microscopy images for integrative analysis of prostate tissue sections

Anders Bjartell, Anders Edsjö, Giuseppe Lippolis, 2012, BMC Cancer.

Expression of somatostatin receptor subtypes 2 and 4 in human benign prostatic hyperplasia and prostatic cancer

Anders Bjartell, A. Bjartell, V. Gadaleanu, 2002, The Prostate.

Galiellalactone is a novel therapeutic candidate against hormone‐refractory prostate cancer expressing activated Stat3

Olov Sterner, Anders Bjartell, A. Bjartell, 2008, The Prostate.

High RBM3 expression in prostate cancer independently predicts a reduced risk of biochemical recurrence and disease progression

Liv Jonsson, Mathias Uhlén, Anders Bjartell, 2011, Diagnostic pathology.

Integration of ERG gene mapping and gene‐expression profiling identifies distinct categories of human prostate cancer

Daniel Brewer, Rosalind Eeles, Sandra Edwards, 2009, BJU international.

Evaluation of the prognostic significance of MSMB and CRISP3 in prostate cancer using automated image analysis

Anders Bjartell, Anna Lindgren, Karin Jirström, 2011, Modern Pathology.

ENSAM: Europium Nanoparticles for Signal enhancement of Antibody Microarrays on nanoporous silicon.

Thomas Laurell, Tero Soukka, Johan Malm, 2008, Journal of proteome research.