| A comprehensive study of imagenet pre-training for historical document image analysis L Studer, M Alberti, V Pondenkandath, P Goktepe, T Kolonko, A Fischer, ... 2019 International Conference on Document Analysis and Recognition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 | 60 | 2019 |
| 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 | 19 | 2021 |
| 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 | 15 | 2021 |
| 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 | 12 | 2022 |
| 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 | 6 | 2022 |
| 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 | 6 | 2021 |
| 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 | 5 | 2020 |
| 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 | 5 | 2019 |
| Toward automatic tumor-stroma ratio assessment for survival analysis in colorectal cancer C Abbet, L Studer, I Zlobec, JP Thiran Proceedings of Medical Imaging with Deep Learning Zürich, 6–8 July 2022 …, 2022 | 2 | 2022 |
| 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 | 1 | 2022 |
| 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 Proceedings of the ECDP 2022 18th European Congress on Digital Pathology, 15 …, 2022 | 1 | 2022 |
| Local and global feature aggregation for accurate epithelial cell classification using graph attention mechanisms in histopathology images AL Frei, A Khan, L Studer, P Zens, A Lugli, A Fischer, I Zlobec Medical Imaging with Deep Learning, short paper track, 2023 | | 2023 |
| 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 Medical Imaging with Deep Learning, 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 |
Inti ZlobecVerified email at pathology.unibe.ch
