most citedAugment like there's no tomorrow: Consistently performing neural networks for medical imaging

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

eess.IV2024

HistoEncoder: a digital pathology foundation model for prostate cancer

Joona Pohjonen, Abderrahim-Oussama Batouche, Antti Rannikko +4

Foundation models are trained on massive amounts of data to distinguish complex patterns and can be adapted to a wide range of downstream tasks with minimal computational resources…

eess.IV2022★ 1 cited

Augment like there's no tomorrow: Consistently performing neural networks for medical imaging

Joona Pohjonen, Carolin Stürenberg, Atte Föhr +6

Deep neural networks have achieved impressive performance in a wide variety of medical imaging tasks. However, these models often fail on data not used during training, such as dat…