Folgen
Karin Stacke
Titel
Zitiert von
Zitiert von
Jahr
Measuring domain shift for deep learning in histopathology
K Stacke, G Eilertsen, J Unger, C Lundström
IEEE journal of biomedical and health informatics 25 (2), 325-336, 2020
1592020
A closer look at domain shift for deep learning in histopathology
K Stacke, G Eilertsen, J Unger, C Lundström
arXiv preprint arXiv:1909.11575, 2019
682019
Learning representations with contrastive self-supervised learning for histopathology applications
K Stacke, J Unger, C Lundström, G Eilertsen
arXiv preprint arXiv:2112.05760, 2021
262021
Proactive construction of an annotated imaging database for artificial intelligence training
CB Stadler, M Lindvall, C Lundström, A Bodén, K Lindman, J Rose, ...
Journal of digital imaging 34, 105-115, 2021
132021
Primary tumor and inter-organ augmentations for supervised lymph node colon adenocarcinoma metastasis detection
A Tsirikoglou, K Stacke, G Eilertsen, J Unger
International Conference on Medical Image Computing and Computer-Assisted …, 2021
92021
Evaluation of Contrastive Predictive Coding for Histopathology Applications.
K Stacke, C Lundström, G Eilertsen
ML4H@ NeurIPS, 328-340, 2020
92020
A study of deep learning colon cancer detection in limited data access scenarios
A Tsirikoglou, K Stacke, G Eilertsen, M Lindvall, J Unger
arXiv preprint arXiv:2005.10326, 2020
82020
Combatting out-of-distribution errors using model-agnostic meta-learning for digital pathology
F Fagerblom, K Stacke, J Molin
Medical Imaging 2021: Digital Pathology 11603, 186-192, 2021
62021
A closer look at domain shift for deep learning in histopathology. arXiv
K Stacke, G Eilertsen, J Unger, C Lundström
arXiv preprint arXiv:1909.11575 10, 2019
62019
Correlated Feature Aggregation by Region Helps Distinguish Aggressive from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT
K Stacke, I Bhattacharya, JR Tse, JD Brooks, GA Sonn, M Rusu
arXiv preprint arXiv:2209.14657, 2022
22022
Automatic brain segmentation into substructures using quantitative mri
K Stacke
12016
PD22-02 HISTOPATHOLOGY-INFORMED RADIOLOGY BIOMARKERS IMPROVE ARTIFICIAL INTELLIGENCE-BASED DETECTION OF AGGRESSIVE PROSTATE CANCER ON MAGNETIC RESONANCE IMAGING
I Bhattacharya, K Stacke, R Fan, GA Sonn, CJ Magnani, BE Turner, ...
The Journal of Urology 209 (Supplement 4), e664, 2023
2023
Deep Learning for Digital Pathology in Limited Data Scenarios
K Stacke
Linköping University Electronic Press, 2022
2022
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–13