Eklund, Martin

Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci

Study, T. P., Schumacher, F. R., (APCB), A. P. C. B., Study, T. I., Canary PASS Investigators, Breast and Prostate Cancer Cohort Consortium (BPC3), The PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium, (CAPS), C. O. T. P. I. S., Prostate Cancer Genome-wide Association Study of Uncommon Susceptibility Loci (PEGASUS), The Genetic Associations and Mechanisms in Oncology (GAME-ON)/Elucidating Loci Involved in Prostate Cancer Susceptibility (ELLIPSE) Consortium, et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyProstate Cancer Treatment and Research

Cited by 902

Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study

Ström, P., Kartasalo, K., Olsson, H., Solorzano, L., Delahunt, B., Berney, D. M., Bostwick, D. G., Evans, A. J., Grignon, D. J., Humphrey, P. A., et al. (2020) · The Lancet Oncology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 620

Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction

Olsson, H., Kartasalo, K., Mulliqi, N., Capuccini, M., Ruusuvuori, P., Samaratunga, H., Delahunt, B., Lindskog, C., Janssen, E. A. M., Blilie, A., et al. (2022) · Nature Communications

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 111

Detection of perineural invasion in prostate needle biopsies with deep neural networks

Kartasalo, K., Ström, P., Ruusuvuori, P., Samaratunga, H., Delahunt, B., Tsuzuki, T., Eklund, M., & Egevad, L. (2022) · Virchows Archiv

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 29