Improving Prostate Cancer Detection with Breast Histopathology Images. - Umair Akhtar Hasan Khan; Carolin Stürenberg; Oguzhan Gencoglu; Kevin Sandeman; Timo Heikkinen; Antti Rannikko; Tuomas Mirtti (ECDP, 2019)

Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets. - Mika Murtojärvi; Anni S. Halkola; Antti Airola; Teemu D. Laajala; Tuomas Mirtti; Tero Aittokallio; Tapio Pahikkala (Int. J. Medical Informatics, 2020)

Training robust deep learning models for medical imaging tasks with spectral decoupling. - Joona Pohjonen; Carolin Stürenberg; Antti Rannikko; Tuomas Mirtti; Esa Pitkänen (CoRR, 2021)

Classification of datasets with imputed missing values: does imputation quality matter? - Tolou Shadbahr; Michael Roberts; Jan Stanczuk; Julian D. Gilbey; Philip Teare; Sören Dittmer; Matthew Thorpe; Ramón Viñas Torné 001; Evis Sala; Pietro Lió; Mishal Patel; AIX-COVNET Collaboration; et al. (CoRR, 2022)

Exposing and addressing the fragility of neural networks in digital pathology. - Joona Pohjonen; Carolin Stürenberg; Atte Föhr; Esa Pitkänen; Antti Rannikko; Tuomas Mirtti (CoRR, 2022)

OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer. - Anni S. Halkola; Kaisa Joki; Tuomas Mirtti; Marko M. Mäkelä; Tero Aittokallio; Teemu D. Laajala (PLoS Comput. Biol., 2023)

Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications. - Abderrahim Oussama Batouche; Eugen Czeizler; Miika Koskinen; Tuomas Mirtti; Antti Sakari Rannikko (BIOSTEC (2), 2024)

HistoEncoder: a digital pathology foundation model for prostate cancer. - Joona Pohjonen; Abderrahim Oussama Batouche; Antti Rannikko; Kevin Sandeman; Andrew Erickson; Esa Pitkänen; Tuomas Mirtti (CoRR, 2024)