| From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge P Bandi, O Geessink, Q Manson, M Van Dijk, M Balkenhol, M Hermsen, ... IEEE transactions on medical imaging 38 (2), 550-560, 2018 | 506 | 2018 |
| Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer Z Kos, E Roblin, RS Kim, S Michiels, BD Gallas, W Chen, KK van de Vijver, ... NPJ breast cancer 6 (1), 17, 2020 | 131 | 2020 |
| Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group M Amgad, ES Stovgaard, E Balslev, J Thagaard, W Chen, S Dudgeon, ... NPJ Breast Cancer 6 (1), 1-13, 2020 | 122 | 2020 |
| Can you trust predictive uncertainty under real dataset shifts in digital pathology? J Thagaard, S Hauberg, B van der Vegt, T Ebstrup, JD Hansen, AB Dahl Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 37 | 2020 |
| Automated Quantification of sTIL Density with H&E-Based Digital Image Analysis Has Prognostic Potential in Triple-Negative Breast Cancers J Thagaard, ES Stovgaard, LG Vognsen, S Hauberg, A Dahl, T Ebstrup, ... Cancers 13 (12), 3050, 2021 | 24 | 2021 |
| Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of the international immuno-oncology biomarker working group. J Thagaard, G Broeckx, DB Page, CA Jahangir, S Verbandt, Z Kos, ... The Journal of Pathology, 2023 | 11 | 2023 |
| Digital image analysis and assisted reading of the HER2 score display reduced concordance: pitfalls in the categorisation of HER2‐low breast cancer M Sode, J Thagaard, JO Eriksen, AV Laenkholm Histopathology, 2023 | 9 | 2023 |
| Method for training a deep learning model to obtain histopathological information from images J Thagaard, JD Hansen, T Ebstrup, MF Lippert, M Grunkin US Patent 11,276,165, 2022 | 8 | 2022 |
| Spatial analyses of immune cell infiltration in cancer: current methods and future directions. A report of the International Immuno-Oncology Biomarker Working Group on Breast … DB Page, G Broeckx, CA Jahangir, S Verbandt, RR Gupta, J Thagaard, ... The Journal of Pathology, 2023 | 7 | 2023 |
| Histological disease activity in patients with microscopic colitis is not related to clinical disease activity or long-term prognosis L Müller Olsen, PJ Heiberg Engel, D Goudkade, V Villanacci, J Thagaard, ... Alimentary pharmacology & therapeutics. Hoboken: Wiley, 2021, vol. 00, no. 00, 2021 | 6 | 2021 |
| Immunological tumor heterogeneity and diagnostic profiling for advanced and immune therapies R Huss, C Schmid, M Manesse, J Thagaard, B Maerkl Advances in Cell and Gene Therapy, 0 | 6 | |
| Development of a method for digital assessment of tumor regression grade in patients with rectal cancer following neoadjuvant therapy DNM Jepsen, H Høeg, J Thagaard, JS Walbech, I Gögenur, AMK Fiehn Journal of Pathology Informatics 13, 100152, 2022 | 3 | 2022 |
| Quantifying intraepithelial lymphocytes and subepithelial collagen band in microscopic colitis, extracting insights into the interrelationship of lymphocytic and collagenous … PJH Engel, AMK Fiehn, D Goudkade, J Thagaard, H Holten-Rossing, ... Annals of Diagnostic Pathology 52, 151741, 2021 | 3 | 2021 |
| Concordance between manual pathologist scoring and an Artificial Intelligence Deep Learning-based algorithm for Ki-67 immunohistochemical scoring in breast cancer NM Badr, TW Ramsing, A Overgaard, J Thagaard, D Omanovic, I Miligy, ... European Journal of Cancer 175, S59, 2022 | 2 | 2022 |
| Detecting lymph node metastases in breast cancer using deep learning J Thagaard | 2 | 2017 |
| A comprehensive guided workflow for highplex imaging, tissue segmentation, and multiplex cellular phenotyping for tumor microenvironment analysis B O'Neill, S Kala, S Lim, C Hupple, N Lane, RN Sorensen, RA Lyngby, ... Cancer Research 83 (7_Supplement), 4625-4625, 2023 | | 2023 |
| 139 Identification of distinct tissue phenotypes in lung and colorectal cancers by imaging mass cytometry is consistent across serial sections S Kala, R Lyngby, R Sorensen, A Quong, S Lim, C Hupple, N Lane, ... Journal for ImmunoTherapy of Cancer 10 (Suppl 2), 2022 | | 2022 |
| 143 A comprehensive workflow for highplex imaging, tissue segmentation, and multiplex cellular phenotyping for tumor microenvironment analysis F Schneider, R Lyngby, R Sorensen, A Quong, S Kala, S Lim, C Hupple, ... Journal for ImmunoTherapy of Cancer 10 (Suppl 2), 2022 | | 2022 |
| 60 Enablement of single-cell spatial insight addressing T-cell and CAF involvement in pancreatic invasive ductal adenocarcinoma using AI-based deep learning image analysis A Quong, S Kala, N Lane, M Macpherson, G Chatterjee, D Fleury, ... Journal for ImmunoTherapy of Cancer 10 (Suppl 2), 2022 | | 2022 |
| Scanning/pre-scanning quality control of slides M Grunkin, JD Hansen, J Thagaard US Patent App. 17/623,090, 2022 | | 2022 |
Anders Bjorholm DahlProfessor, Image Analysis, Technical University of DenmarkVerified email at dtu.dk
