Folgen
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A comprehensive study of imagenet pre-training for historical document image analysis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
902019
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
322022
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
272021
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
252021
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
172022
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
142021
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
82020
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
82019
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
52022
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
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
32023
Lymph node metastases and recurrence in pT1 colorectal cancer: Prediction with the International Budding Consortium Score—A retrospective, multi‐centric study
H Dawson, JM Bokhorst, L Studer, M Vieth, AS Oguz Erdogan, ...
United European gastroenterology journal 12 (3), 299-308, 2024
22024
Building-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
Proceedings of the ECDP 2022 18th European Congress on Digital Pathology, 15 …, 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
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–15