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Dokyoon Kim

Showing results (51-60 of 213) with videos related to

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Advanced Materials (Deerfield Beach, Fla.)|February 16, 2023
Ceria-Based Therapeutic Antioxidants for Biomedical ApplicationsYoung Geon Kim, Yunjung Lee, Nohyun Lee, et al.
Journal of Translational Medicine|May 9, 2024
Deep learning imaging phenotype can classify metabolic syndrome and is predictive of cardiometabolic disordersJacob S Leiby, Matthew E Lee, Manu Shivakumar, et al.
Bioinformatics (Oxford, England)|February 5, 2021
Multi-layered network-based pathway activity inference using directed random walks: application to predicting clinical outcomes in urologic cancerSo Yeon Kim, Eun Kyung Choe, Manu Shivakumar, et al.
Frontiers in Radiology|April 21, 2022
Sex Differences in the Metabolome of Alzheimer's Disease ProgressionTomás González Zarzar, Brian Lee, Rory Coughlin, et al.
Biomaterials|June 18, 2022
Recent progress in liquid embolic agentsGiho Ko, Jin Woo Choi, Nohyun Lee, et al.
Journal of the American Chemical Society|April 19, 2007
Synthesis of hollow iron nanoframesDokyoon Kim, Jongnam Park, Kwangjin An, et al.
BMC Medical Genomics|August 1, 2014
Integrated analysis of microRNA-target interactions with clinical outcomes for cancersJe-Gun Joung, Dokyoon Kim, Su Yeon Lee, et al.
Journal of the American Medical Informatics Association : JAMIA|January 2, 2017
Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinomaDokyoon Kim, Ruowang Li, Anastasia Lucas, et al.
Methods (San Diego, Calif.)|February 25, 2014
Incorporating inter-relationships between different levels of genomic data into cancer clinical outcome predictionDokyoon Kim, Hyunjung Shin, Kyung-Ah Sohn, et al.
IEEE Journal of Biomedical and Health Informatics|May 20, 2024
Frequency Domain Deep Learning With Non-Invasive Features for Intraoperative Hypotension PredictionJeong-Hyeon Moon, Garam Lee, Seung Mi Lee, et al.
Pageof 22

Showing results (51-60 of 213) with videos related to

Sort By:
Pageof 22
Advanced Materials (Deerfield Beach, Fla.)|February 16, 2023
Ceria-Based Therapeutic Antioxidants for Biomedical ApplicationsYoung Geon Kim, Yunjung Lee, Nohyun Lee, et al.
Journal of Translational Medicine|May 9, 2024
Deep learning imaging phenotype can classify metabolic syndrome and is predictive of cardiometabolic disordersJacob S Leiby, Matthew E Lee, Manu Shivakumar, et al.
Bioinformatics (Oxford, England)|February 5, 2021
Multi-layered network-based pathway activity inference using directed random walks: application to predicting clinical outcomes in urologic cancerSo Yeon Kim, Eun Kyung Choe, Manu Shivakumar, et al.
Frontiers in Radiology|April 21, 2022
Sex Differences in the Metabolome of Alzheimer's Disease ProgressionTomás González Zarzar, Brian Lee, Rory Coughlin, et al.
Biomaterials|June 18, 2022
Recent progress in liquid embolic agentsGiho Ko, Jin Woo Choi, Nohyun Lee, et al.
Journal of the American Chemical Society|April 19, 2007
Synthesis of hollow iron nanoframesDokyoon Kim, Jongnam Park, Kwangjin An, et al.
BMC Medical Genomics|August 1, 2014
Integrated analysis of microRNA-target interactions with clinical outcomes for cancersJe-Gun Joung, Dokyoon Kim, Su Yeon Lee, et al.
Journal of the American Medical Informatics Association : JAMIA|January 2, 2017
Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinomaDokyoon Kim, Ruowang Li, Anastasia Lucas, et al.
Methods (San Diego, Calif.)|February 25, 2014
Incorporating inter-relationships between different levels of genomic data into cancer clinical outcome predictionDokyoon Kim, Hyunjung Shin, Kyung-Ah Sohn, et al.
IEEE Journal of Biomedical and Health Informatics|May 20, 2024
Frequency Domain Deep Learning With Non-Invasive Features for Intraoperative Hypotension PredictionJeong-Hyeon Moon, Garam Lee, Seung Mi Lee, et al.
Pageof 22