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Mehta, Raghav; Filos, Angelos; Baid, Ujjwal; Sako, Chiharu; McKinley, Richard; Rebsamen, Michael; Dätwyler, Katrin; Meier, Raphael; Radojewski, Piotr; Murugesan, Gowtham Krishnan; Nalawade, Sahil; Ganesh, Chandan; Wagner, Ben; Yu, Fang F; Fei, Baowei; Madhuranthakam, Ananth J; Maldjian, Joseph A; Daza, Laura; Gómez, Catalina; Arbeláez, Pablo; ... (2022). QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results. The journal of machine learning for biomedical imaging, 2022 MELBA
Kuijf, Hugo J; Biesbroek, J Matthijs; de Bresser, Jeroen; Heinen, Rutger; Andermatt, Simon; Bento, Mariana; Berseth, Matt; Belyaev, Mikhail; Cardoso, M Jorge; Casamitjana, Adria; Collins, D Louis; Dadar, Mahsa; Georgiou, Achilleas; Ghafoorian, Mohsen; Jin, Dakai; Khademi, April; Knight, Jesse; Li, Hongwei; Llado, Xavier; Luna, Miguel; ... (2019). Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE transactions on medical imaging, 38(11), pp. 2556-2568. Institute of Electrical and Electronics Engineers IEEE 10.1109/TMI.2019.2905770
Commowick, Olivier; Istace, Audrey; Kain, Michaël; Laurent, Baptiste; Leray, Florent; Simon, Mathieu; Pop, Sorina Camarasu; Girard, Pascal; Améli, Roxana; Ferré, Jean-Christophe; Kerbrat, Anne; Tourdias, Thomas; Cervenansky, Frédéric; Glatard, Tristan; Beaumont, Jérémy; Doyle, Senan; Forbes, Florence; Knight, Jesse; Khademi, April; Mahbod, Amirreza; ... (2018). Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure. Scientific Reports, 8(1), p. 13650. Nature Publishing Group 10.1038/s41598-018-31911-7
