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Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Zunamys Itzell Carrero, Tobias Seibel, Marko van Treeck, +10 more
22citations -
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Tobias Seibel, Didem Çifçi, Marko van Treeck, +9 more
12citations -
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization2021 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman
3citations -
AblationNet: Deep network for ablation zone segmentation, in hepatic CT, using Fourier contours2026 Biomedical Signal Processing and Control article Computer Science Medical Image Segmentation Techniques Open access
Faeze Gholamiankhah, Gonnie C. M. van Erp, Alexander Broersen, Silvia L. Pintea, Coosje A. M. Verhagen, Pim Hendriks, +2 more
1citations
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