Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic studyPeter Ström, Martin Eklund, Kenneth A. Iczkowski et al.|The Lancet Oncology|2020Cited by 631
Identification of areas of grading difficulties in prostate cancer and comparison with artificial intelligence assisted gradingLars Egevad, Martin Eklund, Daniela Swanberg et al.|Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin|2020Cited by 54
Utility of Pathology Imagebase for standardisation of prostate cancer gradingLars Egevad, Mark Clements, Brett Delahunt et al.|Histopathology|2018Cited by 52
Pathologist-Level Grading of Prostate Biopsies with Artificial IntelligencePeter Ström, Martin Eklund, Kimmo Kartasalo et al.|arXiv (Cornell University)|2019Cited by 26
Genitourinary Pathology Society and International Society of Urological Pathology White Paper on Defining Indolent Prostate Cancer: Call for a Multidisciplinary ApproachRajal B. Shah, Glen Kristiansen, Gladell P. Paner et al.|European Urology|2025Cited by 11