Linda Studer
According to our database1,
Linda Studer
authored at least 8 papers
between 2019 and 2023.
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Bibliography
2023
Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients.
Proceedings of the Medical Imaging with Deep Learning, 2023
2022
Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection.
Medical Image Anal., 2022
Annotation-Free Keyword Spotting in Historical Vietnamese Manuscripts Using Graph Matching.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022
2021
Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection.
CoRR, 2021
Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
2020
Proceedings of the 7th Swiss Conference on Data Science, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019