MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation from Multiple Sites
Oral talk presented by Jun Ma (Team: FightAutism), with the title of “3D U-Net baseline for iSeg-2019 and an attempt at dealing with multiple sites data via histogram matching”
Oral talk presented by Gongning Luo (Team: PerceptionComputingLab_HIT), with the title of “Masked attention encoder-decoder networks for isointense infant brain segmentation”
Oral talk presented by Wenao Ma (Team: SmartDSP), with the title of “Spatially Weighted Network with Adversarial Domain Adaptation for Infant Brain MRI Segmentation”
Oral talk presented by Hoileong Lee (Team: OxfordIBME), with the title of “Efficient 3D Fully Convolutional Networks for 6-month Infant Brain MRI Segmentation”
Oral talk presented by Bennett A. Landman (Team: MASI), with the title of “Evaluation of adult SLANT on infant brain MRI”
Oral talk presented by Zhan Liu (Team: WorldSeg), with the title of “Efficient 3D Dense U-Net with Contour Regression for 6-month Infant Brain MRI Segmentation”
Oral talk presented by Lin Qi (Team: QL111111), with the title of “Infant Brain MRI Segmentation with Dilated Convolution Pyramid Downsampling and Self-Attention”
From left to right: Prof. Bennett A. Landman, Prof. Gang Li, Gongning Luo, Prof. Kuanquan Wang, Zhan Liu, Wenao Ma, and Prof. Li Wang.