Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey. - Dan Zhao; Guizhi Xu; Zhenghua Xu 001; Thomas Lukasiewicz; Minmin Xue; Zhigang Fu (CoRR, 2020)

Efficient Medical Image Segmentation with Intermediate Supervision Mechanism. - Di Yuan; Junyang Chen 001; Zhenghua Xu 001; Thomas Lukasiewicz; Zhigang Fu; Guizhi Xu (CoRR, 2020)

w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution. - Bo Wang 072; Lei Wang; Junyang Chen 001; Zhenghua Xu 001; Thomas Lukasiewicz; Zhigang Fu (CoRR, 2020)

ω-net: Dual supervised medical image segmentation with multi-dimensional self-attention and diversely-connected multi-scale convolution. - Zhenghua Xu 001; Shijie Liu; Di Yuan; Lei Wang; Junyang Chen 001; Thomas Lukasiewicz; Zhigang Fu; Rui Zhang (Neurocomputing, 2022)

Homography Initialization and Dynamic Weighting Algorithm Based on a Downward-Looking Camera and IMU. - Bo Dong; Yongkang Tao; Deng Peng; Zhigang Fu (CoRR, 2023)

Identification of major depression patients using machine learning models based on heart rate variability during sleep stages for pre-hospital screening. - Duyan Geng; Qiang An; Zhigang Fu; Chao Wang; Hongxia An (Comput. Biol. Medicine, 2023)

Triple-task mutual consistency for semi-supervised 3D medical image segmentation. - Yantao Chen; Yong Ma 001; Xiaoguang Mei; Lin Zhang; Zhigang Fu; Jiayi Ma 001 (Comput. Biol. Medicine, 2024)