Linda Studer

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 9

Top Topics

Document Image Analysis

Colorectal Cancer

Keyword Spotting

Top Venues

Medical Image Anal.

Publications

Linda Studer, JM Bokhorst, I Nagtegaal, Inti Zlobec, Heather Dawson, Andreas Fischer
Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients. MIDL (2023)
Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran
Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection. Medical Image Anal. 79 (2022)
Anna Scius-Bertrand, Linda Studer, Andreas Fischer, Marc Bui
Annotation-Free Keyword Spotting in Historical Vietnamese Manuscripts Using Graph Matching. S+SSPR (2022)
Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran
Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection. CoRR (2021)
Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran
Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping. MIDL (2021)
Linda Studer, Jannis Wallau, Rolf Ingold, Andreas Fischer
Effects of Graph Pooling Layers on Classification with Graph Neural Networks. SDS (2020)
Linda Studer, Jannis Wallau, Heather Dawson, Inti Zlobec, Andreas Fischer
Classification of Intestinal Gland Cell-Graphs Using Graph Neural Networks. ICPR (2020)
Linda Studer, Michele Alberti, Vinaychandran Pondenkandath, Pinar Goktepe, Thomas Kolonko, Andreas Fischer, Marcus Liwicki, Rolf Ingold
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis. CoRR (2019)
Linda Studer, Michele Alberti, Vinaychandran Pondenkandath, Pinar Goktepe, Thomas Kolonko, Andreas Fischer, Marcus Liwicki, Rolf Ingold
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis. ICDAR (2019)