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Linda Studer
Linda Studer
PhD Candidate, University of Fribourg / Post-Doc at Radboudumc
Bestätigte E-Mail-Adresse bei radboudumc.nl
Titel
Zitiert von
Zitiert von
Jahr
A comprehensive study of imagenet pre-training for historical document image analysis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
842019
Self-rule to multi-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, ...
Medical image analysis 79, 102473, 2022
252022
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
252021
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
222021
Impact of scanner variability on lymph node segmentation in computational pathology
A Khan, A Janowczyk, F Müller, A Blank, HG Nguyen, C Abbet, L Studer, ...
Journal of pathology informatics 13, 100127, 2022
122022
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, ...
Proceedings of the Medical Imaging with Deep Learning (MIDL 2021), 7‑9 July …, 2021
112021
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
72020
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
72019
Toward automatic tumor-stroma ratio assessment for survival analysis in colorectal cancer
C Abbet, L Studer, I Zlobec, JP Thiran
Medical Imaging with Deep Learning, 2022
52022
Annotation-free keyword spotting in historical Vietnamese manuscripts using graph matching
A Scius-Bertrand, L Studer, A Fischer, M Bui
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2022
32022
Local and global feature aggregation for accurate epithelial cell classification using graph attention mechanisms in histopathology images
AL Frei, A Khan, L Studer, PI Zens, A Lugli, A Fischer, I Zlobec
22023
Budding-t-cell score is a potential predictor for more aggressive treatment in pt1 colorectal cancers
L Studer, JM Bokhorst, F Ciompi, A Fischer, H Dawson
European Congress of Digital Pathology (ECDP), 2022
12022
Tumor budding t-cell graphs: assessing the need for resection in pT1 colorectal cancer patients
L Studer, JM Bokhorst, I Nagtegaal, I Zlobec, H Dawson, A Fischer
Proceedings of Medical Imaging with Deep Learning (MIDL), 10-12 July 2023 …, 2023
2023
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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