Automatic Gleason grading of H and E stained microscopic prostate images using deep convolutional neural networks. - Anna Gummeson; Ida Arvidsson; Mattias Ohlsson; Niels Christian Overgaard; Agnieszka Krzyzanowska; Anders Heyden; Anders Bjartell; Kalle Åström (Digital Pathology, 2017)

Generalization of prostate cancer classification for multiple sites using deep learning. - Ida Arvidsson; Niels Christian Overgaard; Felicia-Elena Marginean; Agnieszka Krzyzanowska; Anders Bjartell; Kalle Åström; Anders Heyden (ISBI, 2018)

A prospective study to evaluate the intra-individual reproducibility of bone scans for quantitative assessment in patients with metastatic prostate cancer. - Mariana Reza; Reza Kaboteh; May Sadik; Anders Bjartell; Per Wollmer; Elin Trägårdh (BMC Medical Imaging, 2018)

Domain-adversarial neural network for improved generalization performance of Gleason grade classification. - Ida Arvidsson; Niels Christian Overgaard; Agnieszka Krzyzanowska; Felicia-Elena Marginean; Athanasios Simoulis; Anders Bjartell; Kalle Åström; Anders Heyden (Digital Pathology, 2020)

Systematic Augmentation in HSV Space for Semantic Segmentation of Prostate Biopsies. - Filip Winzell; Ida Arvidsson; Niels Christian Overgaard; Kalle Åström; Felicia-Elena Marginean; Anders Bjartell; Agnieszka Krzyzanowska; Athanasios Simoulis; Anders Heyden (SCIA (2), 2023)