Showing results (1651-1660 of 1,788) with videos related to
Sort By:
Pageof 179
IEEE Transactions on Neural Networks and Learning Systems|November 4, 2020
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of KingsDeheng Ye, Guibin Chen, Peilin Zhao, et al.Neural Regeneration Research|August 2, 2017
Metabolite changes in the ipsilateral and contralateral cerebral hemispheres in rats with middle cerebral artery occlusionLei Ruan, Yan Wang, Shu-Chao Chen, et al.Cytokine|June 20, 2023
Phagocyte extracellular traps formation contributes to host defense against Clostridium perfringens infectionYang Liu, Jing Liang, Jian-Wei Li, et al.Applied Microbiology and Biotechnology|May 27, 2016
Anaerobic methane oxidation coupled to nitrite reduction can be a potential methane sink in coastal environmentsLi-Dong Shen, Bao-Lan Hu, Shuai Liu, et al.Cancer Research and Treatment|January 16, 2018
Induction Chemotherapy Plus Concurrent Chemoradiotherapy Versus Concurrent Chemoradiotherapy Alone in Locoregionally Advanced Nasopharyngeal Carcinoma in Children and Adolescents: A Matched Cohort AnalysisYang Li, Lin-Quan Tang, Li-Ting Liu, et al.Nanotechnology|September 12, 2017
Large-area epitaxial growth of MoSe2 via an incandescent molybdenum sourceMan Kit Cheng, Jing Liang, Ying Hoi Lai, et al.Nature Neuroscience|August 5, 2020
High-fat food biases hypothalamic and mesolimbic expression of consummatory drivesChristopher M Mazzone, Jing Liang-Guallpa, Chia Li, et al.Quantitative Imaging in Medicine and Surgery|June 7, 2024
Automated detection and classification of coronary atherosclerotic plaques on coronary CT angiography using deep learning algorithmJing Liang, Kefeng Zhou, Michael P Chu, et al.Cancer Management and Research|August 3, 2019
The development of a nomogram to predict post-radiation necrosis in nasopharyngeal carcinoma patients: a large-scale cohort studyXiao-Yun Li, Xue-Song Sun, Sai-Lan Liu, et al.Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association|September 7, 2025
Development and validation of a machine learning model for predicting immune checkpoint inhibitor efficacy in advanced gastric cancer using dynamic changes in peripheral blood clinlabomics data: a retrospective multicenter cohort studyShulun Nie, Shuyi Song, Qian Xu, et al.Pageof 179