Linda Studer
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A comprehensive study of imagenet pre-training for historical document image analysis
L Studer, M Alberti, V Pondenkandath, P Goktepe, T Kolonko, A Fischer, ...
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
272019
Taking tumour budding to the next frontier—a post International Tumour Budding Consensus Conference (ITBCC) 2016 review
L Studer, A Blank, JM Bokhorst, ID Nagtegaal, I Zlobec, A Lugli, A Fischer, ...
Histopathology 78 (4), 476-484, 2021
72021
Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping
C Abbet, L Studer, A Fischer, H Dawson, I Zlobec, B Bozorgtabar, ...
Medical Imaging with Deep Learning, 2021
32021
Effects of Graph Pooling Layers on Classification with Graph Neural Networks
L Studer, J Wallau, R Ingold, A Fischer
2020 7th Swiss Conference on Data Science (SDS), 57-58, 2020
32020
Graph-based Classification of Intestinal Glands in Colorectal Cancer Tissue Images
L Studer, S Toneyan, I Zlobec, H Dawson, A Fischer
International Conference on Medical Image Computing and Computer-Assisted …, 2019
32019
Classification of Intestinal Gland Cell-Graphs Using Graph Neural Networks
L Studer, J Wallau, H Dawson, I Zlobec, A Fischer
2020 25th International Conference on Pattern Recognition (ICPR), 3636-3643, 2021
22021
Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection
C Abbet, L Studer, A Fischer, H Dawson, I Zlobec, B Bozorgtabar, ...
arXiv preprint arXiv:2108.09178, 2021
2021
Intestinal Gland Classification from Colorectal Cancer Tissue Images using Graph-based Methods
L Studer, S Toneyan, I Zlobec, A Lugli, A Fischer, H Dawson
Der Pathologe 40 (6), 688-689, 2019
2019
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