Wenzhen Zhu

Jan 12, 2024 | frontiersin.org | Wenzhen Zhu

Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, ChinaThe final, formatted version of the article will be published soon. Receive an email when it is updatedYou just subscribed to receive the final version of the articleObjectives: The diverse nature of stroke necessitates individualized assessment, presenting challenges to case-control neuroimaging studies.

Oct 6, 2023 | amazon.science | Yun Zhou |Liwen You |Wenzhen Zhu |Panpan Xu

Mixup is a domain-agnostic approach for data augmentation, originally proposed for training Deep Neural Networks (DNNs) for image classification. It obtains additional data for training by sampling from linear interpolations of model inputs and their labels. While proven to be effective for computer vision (CV) and natural language processing (NLP) tasks, it remains unknown if mixup can bring performance improvement for DNNs developed for forecasting tasks.