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

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)

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)

Exploring machine learning strategies for predicting cardiovascular disease risk factors from multi-omic data. - Gabin Drouard; Juha Mykkänen; Jarkko Heiskanen; Joona Pohjonen; Saku Ruohonen; Katja Pahkala; Terho Lehtimäki; Xiaoling Wang; Miina Ollikainen; Samuli Ripatti; Matti Pirinen; Olli T. Raitakari; et al. (BMC Medical Informatics Decis. Mak., 2024)