| 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 | 217 | 2020 |
| 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 | 79 | 2019 |
| Learning representations with contrastive self-supervised learning for histopathology applications K Stacke, J Unger, C Lundström, G Eilertsen arXiv preprint arXiv:2112.05760, 2021 | 30 | 2021 |
| 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 | 16 | 2021 |
| 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 | 11 | 2021 |
| Evaluation of Contrastive Predictive Coding for Histopathology Applications. K Stacke, C Lundström, G Eilertsen ML4H@ NeurIPS, 328-340, 2020 | 11 | 2020 |
| 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 | 10 | 2019 |
| 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 | 8 | 2020 |
| 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 | 7 | 2021 |
| 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 | 2 | 2022 |
| Automatic brain segmentation into substructures using quantitative mri K Stacke | 1 | 2016 |
| Aggressiveness classification of clear cell renal cell carcinoma using registration‐independent radiology‐pathology correlation learning I Bhattacharya, K Stacke, E Chan, JH Lee, JR Tse, T Liang, JD Brooks, ... Medical Physics, 2024 | | 2024 |
| 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, J Brooks, M Rusu, G Sonn 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 |
Gabriel EilertsenLinköping UniversityVerified email at liu.se
