Karin Stacke

According to our database, Karin Stacke authored at least 10 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Deep Learning for Digital Pathology in Limited Data Scenarios.

Karin Stacke

PhD thesis, 2022

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

Karin Stacke, Indrani Bhattacharya, Justin R. Tse, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu

CoRR, 2022

2021

Measuring Domain Shift for Deep Learning in Histopathology.

Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström

IEEE J. Biomed. Health Informatics, 2021

Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training.

Caroline Bivik Stadler, Martin Lindvall, Claes Lundström, Anna Bodén, Karin Lindman, Jeronimo Rose, Darren Treanor, Johan Blomma, Karin Stacke, Nicolas Pinchaud, Martin Hedlund, Filip Landgren, Mischa Woisetschläger, Daniel Forsberg

J. Digit. Imaging, 2021

Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications.

Karin Stacke, Jonas Unger, Claes Lundström, Gabriel Eilertsen

CoRR, 2021

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

Freja Fagerblom, Karin Stacke, Jesper Molin

Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

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

Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Jonas Unger

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios.

Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Martin Lindvall, Jonas Unger

CoRR, 2020

Evaluation of Contrastive Predictive Coding for Histopathology Applications.

Karin Stacke, Claes Lundström, Gabriel Eilertsen

Proceedings of the Machine Learning for Health Workshop, 2020

2019

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

Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström

CoRR, 2019