2 citations · 4 across the 4 of their papers we have counts for
Showing eess.IVShow all
2 papers · 1 filter
eess.IV2023★ 1 cited
Cross-modal tumor segmentation using generative blending augmentation and self training
Guillaume Sallé, Pierre-Henri Conze, Julien Bert +3
\textit{Objectives}: Data scarcity and domain shifts lead to biased training sets that do not accurately represent deployment conditions. A related practical problem is cross-modal…
eess.IV2021★ 1 cited
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Alessa Hering, Lasse Hansen, Tony C. W. Mok +50
Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medi…