Karin Stacke

Evaluation of Contrastive Predictive Coding for Histopathology Applications

Suproteem K. Sarkar, Matthew B. A. McDermott, C. Lundström, 2020 .

Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications

C. Lundström, Karin Stacke, Jonas Unger, 2021, Machine Learning for Biomedical Imaging.

Correlated Feature Aggregation by Region Helps Distinguish Aggressive from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT

J. Brooks, G. Sonn, M. Rusu, 2022, ArXiv.

Measuring Domain Shift for Deep Learning in Histopathology

Gabriel Eilertsen, Jonas Unger, Karin Stacke, 2020, IEEE Journal of Biomedical and Health Informatics.

Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training

Martin Lindvall, Claes Lundström, Darren Treanor, 2020, Journal of Digital Imaging.

A Closer Look at Domain Shift for Deep Learning in Histopathology pdf

Claes Lundström, Gabriel Eilertsen, Jonas Unger, 2019, ArXiv.

Combatting out-of-distribution errors using model-agnostic meta-learning for digital pathology

Jesper Molin, Karin Stacke, Freja Fagerblom, 2021, Medical Imaging.

Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection pdf

Gabriel Eilertsen, Jonas Unger, Apostolia Tsirikoglou, 2021, MICCAI.