Deformation equivariant cross-modality image synthesis with paired non-aligned training data. - Joel Honkamaa; Umair Khan; Sonja Koivukoski; Leena Latonen; Pekka Ruusuvuori; Pekka Marttinen (CoRR, 2022)

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 effect of neural network architecture on virtual H&E staining: Systematic assessment of histological feasibility. - Umair Khan; Sonja Koivukoski; Mira Valkonen; Leena Latonen; Pekka Ruusuvuori (Patterns, 2023)

Deformation equivariant cross-modality image synthesis with paired non-aligned training data. - Joel Honkamaa; Umair Khan; Sonja Koivukoski; Mira Valkonen; Leena Latonen; Pekka Ruusuvuori; Pekka Marttinen (Medical Image Anal., 2023)

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)