Congratulations Mingxia Liu, Ph.D, Assistant Professor, Department of Radiology and BRIC; Director, Machine Intelligence in Biomedical Computing Lab; and Co-Director, Radiological Sciences Faculty Development. Mingxia Liu received the Outstanding Area Chair Award from the Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023). She and her colleagues also won the Best Paper Award from Machine Learning in Medical Imaging (MLMI).
MICCAI 2023 Outstanding Area Chair Award.The awardees are selected by the Program Chairs of MICCAI 2023. The Award is given to those Area Chairs who have done an outstanding job in promptly completing all of their tasks on time, proactively shepherding the review process and working with their reviewers to ensure high-quality of reviews, meticulously providing detailed and constructive metareviews to each paper under their purview, and actively initiating and participating in the post-rebuttal discussion with the reviewers and fellow Area Chairs. Three out of 133 Area Chairs received this award.
We are thrilled for Liu and her colleagues that their paper on structural MRI harmonization was recognized with the Best Paper Award at the 14th International Workshop on Machine Learning in Medical Imaging (MLMI), held in conjunction with the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023).
Best Paper Award
Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu. Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation. The 14th International Workshop on Machine Learning in Medical Imaging (MLMI), held in conjunction with the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023), Vancouver, Canada, October 8, 2023.