Minyue Yin

According to our database, Minyue Yin authored at least 7 papers between 2023 and 2024.

Collaborative distances:

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

2024

Automated machine learning for early prediction of acute kidney injury in acute pancreatitis.

Rufa Zhang, Minyue Yin, Anqi Jiang, Shihou Zhang, Xiaodan Xu, Luojie Liu

BMC Medical Informatics Decis. Mak., December, 2024

Automated machine learning for the identification of asymptomatic COVID-19 carriers based on chest CT images.

Minyue Yin, Chao Xu, Jinzhou Zhu, Yuhan Xue, Yijia Zhou, Yu He, Jiaxi Lin, Lu Liu, Jingwen Gao, Xiaolin Liu, Dan Shen, Cuiping Fu

BMC Medical Imaging, December, 2024

Development and validation of a multimodal model in predicting severe acute pancreatitis based on radiomics and deep learning.

Minyue Yin, Jiaxi Lin, Yu Wang, Yuanjun Liu, Rufa Zhang, Wenbin Duan, Zhirun Zhou, Shiqi Zhu, Jingwen Gao, Lu Liu, Xiaolin Liu, Chenqi Gu, Zhou Huang, Xiaodan Xu, Chunfang Xu, Jinzhou Zhu

Int. J. Medical Informatics, 2024

2023

Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review.

Shiqi Zhu, Jingwen Gao, Lu Liu, Minyue Yin, Jiaxi Lin, Chang Xu, Chunfang Xu, Jinzhou Zhu

J. Digit. Imaging, December, 2023

Identification of Asymptomatic COVID-19 Patients on Chest CT Images Using Transformer-Based or Convolutional Neural Network-Based Deep Learning Models.

Minyue Yin, Xiaolong Liang, Zilan Wang, Yijia Zhou, Yu He, Yuhan Xue, Jingwen Gao, Jiaxi Lin, Chenyan Yu, Lu Liu, Xiaolin Liu, Chao Xu, Jinzhou Zhu

J. Digit. Imaging, June, 2023

Deep learning for pancreatic diseases based on endoscopic ultrasound: A systematic review.

Minyue Yin, Lu Liu, Jingwen Gao, Jiaxi Lin, Shuting Qu, Wei Xu, Xiaolin Liu, Chunfang Xu, Jinzhou Zhu

Int. J. Medical Informatics, June, 2023

Automated Multimodal Machine Learning for Esophageal Variceal Bleeding Prediction Based on Endoscopy and Structured Data.

Yu Wang, Yu Hong, Yue Wang, Xin Zhou, Xin Gao, Chenyan Yu, Jiaxi Lin, Lu Liu, Jingwen Gao, Minyue Yin, Guoting Xu, Xiaolin Liu, Jinzhou Zhu

J. Digit. Imaging, February, 2023