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Marnix P.M. Kop

affiliation not provided to SSRN

  • affiliation not provided to SSRN

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Scholarly Papers (1)

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­Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study

Number of pages: 21 Posted: 09 Feb 2026
Zohaib Salahuddin, Sheng Kuang, Abdalla Ibrahim, Yousif Widaatalla, Razvan L. Miclea, Oliver Morin, Spencer C. Behr, Marnix P.M. Kop, Tom Marcelissen, Patricia Zondervan, Auke Jager, P. Lambin and Henry C. Woodruff
Maastricht University - GROW School for Oncology and Reproduction, Maastricht University, Memorial Sloan Kettering Cancer Center, Maastricht University, affiliation not provided to SSRN, affiliation not provided to SSRN, University of California, San Francisco (UCSF), affiliation not provided to SSRN, Maastricht University, affiliation not provided to SSRN, affiliation not provided to SSRN, Maastricht University - GROW School for Oncology and Reproduction and Maastricht University - GROW School for Oncology and Reproduction
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Abstract:

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Explainable artificial intelligence (XAI), Counterfactual Explanations, Variational Autoencoder Generative Adversarial Network (VAE-GAN), Uncertainty estimation, Segmentation quality control, Radiomics