Sofia Jarkman

Publikationer

2026

Sofia Jarkman, Martin Lindvall, Claes Lundström, Darren Treanor, Jeroen van der Laak (2026) Designing AI tools for Pathology: A mixed-method study on user interfacedesign for breast cancer lymph node metastases detection Intelligence-Based Medicine, Vol. 14, Artikel 100396 (Artikel i tidskrift) https://dx.doi.org/10.1016/j.ibmed.2026.100396

2023

Stephan Dooper, Hans Pinckaers, Witali Aswolinskiy, Konnie Hebeda, Sofia Jarkman, Jeroen van der Laak, Geert Litjens, BIGPICTURE Consortium (2023) Gigapixel end-to-end training using streaming and attention Medical Image Analysis, Vol. 88, Artikel 102881 (Artikel i tidskrift) https://dx.doi.org/10.1016/j.media.2023.102881

2022

Sofia Jarkman, Micael Karlberg, Milda Poceviciute, Anna Bodén, Peter Bandi, Geert Litjens, Claes Lundström, Darren Treanor, Jeroen van der Laak (2022) Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection Cancers, Vol. 14, Artikel 5424 (Artikel i tidskrift) https://dx.doi.org/10.3390/cancers14215424

Milda Poceviciute, Gabriel Eilertsen, Sofia Jarkman, Claes Lundström (2022) Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology Scientific Reports, Vol. 12, Artikel 8329 (Artikel i tidskrift) https://dx.doi.org/10.1038/s41598-022-11826-0

2019

Sofia Jarkman, Martin Lindvall, Joel Hedlund, Darren Treanor, Claes Lundström, Jeroen van der Laak (2019) Axillary lymph nodes in breast cancer cases (Dataset) https://dx.doi.org/10.23698/aida/brln