Hongmei Mi

According to our database, Hongmei Mi authored at least 10 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

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, March, 2023

Design of Smart Home Monitoring System for Elderly Care Based on Raspberry Pi.

Haoran Huang, Jiaying Li, Jiabin Yu, Binggang Xiao, Hongmei Mi, Xinke Shen

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

2021

Weakly-supervised learning for community detection based on graph convolution in attributed networks.

Xiaofeng Wang, Jianhua Li, Li Yang, Hongmei Mi, Jia Yuan Yu

Int. J. Mach. Learn. Cybern., 2021

Unsupervised learning for community detection in attributed networks based on graph convolutional network.

Xiaofeng Wang, Jianhua Li, Li Yang, Hongmei Mi

Neurocomputing, 2021

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

Robust feature selection to predict tumor treatment outcome.

Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan

Artif. Intell. Medicine, 2015

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

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

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model.

Hongmei Mi, Caroline Petitjean, Su Ruan, Pierre Vera, Bernard Dubray

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013