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COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) conference-paper Computer Science Adversarial Robustness in Machine Learning Open access
Laurens Hogeweg, Rajesh Gangireddy, Django Brunink, Vincent J. Kalkman, L. J. Cornelissen, Jacob W. Kamminga
5citations -
Working across Scales: Shared Building-Blocks of a Sustainable Infrastructure Environment for Bio/Geodiversity Data2025 Biodiversity Information Science and Standards article Computer Science Research Data Management Practices Open access
Jutta Buschbom, James Macklin, Deborah Paul, Elizabeth R. Ellwood, Alina Freire‐Fierro, Wouter Addink, +6 more
0citations -
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Laurens Hogeweg, Rajesh Gangireddy, Django Brunink, Vincent J. Kalkman, L. J. Cornelissen, Jacob W. Kamminga
2citations -
Spatio-temporal deep learning for automatic detection of intracranial vessel perforation in digital subtraction angiography during endovascular thrombectomy2022 Medical Image Analysis article Computer Science Medical Image Segmentation Techniques Open access
Ruisheng Su, Matthijs van der Sluijs, Sandra Adriana Cornelissen, Geert J. Lycklama, Jeannette Hofmeijer, Charles B.L.M. Majoie, +6 more
29citations -
Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data2023 Artificial Intelligence in Medicine article Computer Science AI in cancer detection Open access
Silviu Tudor Marc, Xiaohong W. Gao, Heba Sailem, Judith Offman, Emmanouíl Karteris, Angeles Montero Fernandez, +6 more
8citations