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  1. No Access

    Article

    A General Paradigm with Detail-Preserving Conditional Invertible Network for Image Fusion

    Existing deep learning techniques for image fusion either learn image map** (LIM) directly, which renders them ineffective at preserving details due to the equal consideration to each pixel, or learn detail ...

    Wu Wang, Liang-Jian Deng, Ran Ran… in International Journal of Computer Vision (2024)

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    Chapter and Conference Paper

    Self-aware and Cross-Sample Prototypical Learning for Semi-supervised Medical Image Segmentation

    Consistency learning plays a crucial role in semi-supervised medical image segmentation as it enables the effective utilization of limited annotated data while leveraging the abundance of unannotated data. The...

    Zhenxi Zhang, Ran Ran, Chunna Tian… in Medical Image Computing and Computer Assis… (2023)

  3. No Access

    Chapter and Conference Paper

    A Novel Power System Anomaly Data Identification Method Based on Neural Network and Affine Propagation

    Identification of anomaly data is very important for power system state estimation. In this paper, a method of power system anomaly data identification based on neural network and affine propagation is propose...

    Li Shen, Yang Shen, Chunhe Song, Zhao Li, Ran Ran… in Artificial Intelligence and Security (2019)