Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model. - Hongmei Mi; Caroline Petitjean; Su Ruan; Pierre Vera; Bernard Dubray (ISBI, 2013)

Automatic lung tumor segmentation on PET images based on random walks and tumor growth model. - Hongmei Mi; Caroline Petitjean; Bernard Dubray; Pierre Vera; Su Ruan (ISBI, 2014)

Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients With PET. - Hongmei Mi; Caroline Petitjean; Bernard Dubray; Pierre Vera; Su Ruan (IEEE Trans. Medical Imaging, 2014)

Robust feature selection to predict tumor treatment outcome. - Hongmei Mi; Caroline Petitjean; Bernard Dubray; Pierre Vera; Su Ruan (Artif. Intell. Medicine, 2015)

Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images. - Hongmei Mi; Caroline Petitjean; Pierre Vera; Su Ruan (Medical Image Anal., 2015)

Unsupervised learning for community detection in attributed networks based on graph convolutional network. - Xiaofeng Wang 004; Jianhua Li 001; Li Yang; Hongmei Mi (Neurocomputing, 2021)

Weakly-supervised learning for community detection based on graph convolution in attributed networks. - Xiaofeng Wang 004; Jianhua Li 001; Li Yang; Hongmei Mi; Jia Yuan Yu (Int. J. Mach. Learn. Cybern., 2021)

Design of Smart Home Monitoring System for Elderly Care Based on Raspberry Pi. - Haoran Huang; Jiaying Li 010; Jiabin Yu; Binggang Xiao; Hongmei Mi; Xinke Shen (HPCC/DSS/SmartCity/DependSys, 2023)

Data-Augmented Deep Learning Models for Abnormal Road Manhole Cover Detection. - Dongping Zhang; Xuecheng Yu; Li Yang; Daying Quan; Hongmei Mi; Ke Yan (Sensors, 2023)

Forecasting long-term sequences based on a seasonal and periodic-trend feature disentangled network. - Dongping Zhang; Yuejian Xia; Daying Quan; Hongmei Mi; Xin Hou; Lili Lin (J. Frankl. Inst., 2024)

Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading. - Jiabin Yu; Qi Liu; Chenjie Xu; Qinli Zhou; Jiajun Xu; Lingying Zhu; Chen Chen; Yahan Zhou; Binggang Xiao; Lin Zheng; Xiaofeng Zhou; Fengming Zhang; et al. (BMC Medical Informatics Decis. Mak., 2025)