Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration. - Kaisa Liimatainen; Leena Latonen; Masi Valkonen; Kimmo Kartasalo; Pekka Ruusuvuori (CoRR, 2020)

Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer. - Yinxi Wang; Kimmo Kartasalo; Masi Valkonen; Christer Larsson; Pekka Ruusuvuori; Johan Hartman; Mattias Rantalainen (CoRR, 2020)

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. - Jirí Borovec; Jan Kybic; Ignacio Arganda-Carreras; Dmitry V. Sorokin; Gloria Bueno; Alexander V. Khvostikov; Spyridon Bakas; Eric I-Chao Chang; Stefan Heldmann; Kimmo Kartasalo; Leena Latonen; Johannes Lotz 002; et al. (IEEE Trans. Medical Imaging, 2020)

ACROBAT - a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology. - Philippe Weitz; Masi Valkonen; Leslie Solorzano; Circe Carr; Kimmo Kartasalo; Constance Boissin; Sonja Koivukoski; Aino Kuusela; Dusan Rasic; Yanbo Feng; Sandra Kristiane Sinius Pouplier; Abhinav Sharma; et al. (CoRR, 2022)

The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. - Philippe Weitz; Masi Valkonen; Leslie Solorzano; Circe Carr; Kimmo Kartasalo; Constance Boissin; Sonja Koivukoski; Aino Kuusela; Dusan Rasic; Yanbo Feng; Sandra Kristiane Sinius Pouplier; Abhinav Sharma; et al. (Medical Image Anal., 2024)

Foundation Models - A Panacea for Artificial Intelligence in Pathology? - Nita Mulliqi; Anders Blilie; Xiaoyi Ji; Kelvin Szolnoky; Henrik Olsson; Sol Erika Boman; Matteo Titus; Geraldine Martinez Gonzalez; Julia Anna Mielcarz; Masi Valkonen; Einar Gudlaugsson; Svein Reidar Kjosavik; et al. (CoRR, 2025)