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In Interdisciplinary sciences, computational life sciences
Wang Xianfang, Liu Yifeng, Du Zhiyong, Zhu Mingdong, Kaushik Aman Chandra, Jiang Xue, Wei Dongqing
Deep dual-channel convolutional neural network, Deep learning, Feature fusion, Protein solubility
In BMC ecology and evolution
Wu Canbiao, Guo Xiaofang, Li Mengyuan, Shen Jingxian, Fu Xiayu, Xie Qingyu, Hou Zeliang, Zhai Manman, Qiu Xiaofan, Cui Zifeng, Xie Hongxian, Qin Pengmin, Weng Xuchu, Hu Zheng, Liang Jiuxing
Bioinformatics, Deep learning, Genomic features, HBV integration sites
Identification of Variable Importance for Predictions of Mortality From COVID-19 Using AI Models for Ontario, Canada.
In Frontiers in public health
Snider Brett, McBean Edward A, Yawney John, Gadsden S Andrew, Patel Bhumi
COVID-19, SHapley, XGBoost, artificial intelligence, mortality
Application of machine learning analysis based on diffusion tensor imaging to identify REM sleep behavior disorder.
In Sleep & breathing = Schlaf & Atmung
Lee Dong Ah, Lee Ho-Joon, Kim Hyung Chan, Park Kang Min
Diffusion tensor imaging, Machine learning, REM sleep
Automated Vertebral Segmentation and Measurement of Vertebral Compression Ratio Based on Deep Learning in X-Ray Images.
In Journal of digital imaging
Kim Dong Hyun, Jeong Jin Gyo, Kim Young Jae, Kim Kwang Gi, Jeon Ji Young
Deep learning, Segmentation, Vertebral compression fracture, Vertebral compression ratio
Validation and Clinical Applicability of Whole-Volume Automated Segmentation of Optical Coherence Tomography in Retinal Disease Using Deep Learning.
In JAMA ophthalmology ; h5-index 58.0
Design, Setting, Participants :
Main Outcomes and Measures :
Conclusions and Relevance :
Wilson Marc, Chopra Reena, Wilson Megan Z, Cooper Charlotte, MacWilliams Patricia, Liu Yun, Wulczyn Ellery, Florea Daniela, Hughes Cían O, Karthikesalingam Alan, Khalid Hagar, Vermeirsch Sandra, Nicholson Luke, Keane Pearse A, Balaskas Konstantinos, Kelly Christopher J