Trialing U-Net Training Modifications for Segmenting Gliomas Using Open Source Deep Learning Framework. - David G. Ellis; Michele R. Aizenberg (BrainLes@MICCAI (2), 2020)

Deep Learning Using Augmentation via Registration: 1st Place Solution to the AutoImplant 2020 Challenge. - David G. Ellis; Michele R. Aizenberg (AutoImplant@MICCAI, 2020)

Qualitative Criteria for Feasible Cranial Implant Designs. - David G. Ellis; Carlos M. Alvarez; Michele R. Aizenberg (AutoImplant@MICCAI, 2021)

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. - Jianning Li 002; Pedro Pimentel; Angelika Szengel; Moritz Ehlke; Hans Lamecker; Stefan Zachow; Laura Jovani Estacio Cerquin; Christian Doenitz; Heiko Ramm; Haochen Shi; Xiaojun Chen 003; Franco Matzkin; et al. (IEEE Trans. Medical Imaging, 2021)

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Gijs Luijten; Yuan Jin; Narmada Ambigapathy; Enrico Nasca; Naida Solak; Gian Marco Melito; Afaque R. Memon; Xiaojun Chen 003; Jan Stefan Kirschke; et al. (CoRR, 2023)

Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. - Jianning Li 002; David G. Ellis; Oldrich Kodym; Laurèl Rauschenbach; Christoph Rieß; Ulrich Sure; Karsten H. Wrede; Carlos M. Alvarez; Marek Wodzinski; Mateusz Daniol; Daria Hemmerling; Hamza Mahdi; et al. (Medical Image Anal., 2023)

Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model. - Jianning Li 002; David G. Ellis; Antonio Pepe 003; Christina Gsaxner; Michele R. Aizenberg; Jens Kleesiek; Jan Egger (J. Medical Syst., 2024)

Automated segmenta-on of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023. - Myrthe A. D. Buser; D. C. Simons; M. Fitski; Marc H. W. A. Wijnen; A. S. Littooij; A. H. ter Brugge; Iris N. Vos; Markus H. A. Janse; M. den Boer; R. ter Maat; Junya Sato; S. Kido; et al. (CoRR, 2025)