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Xingfeng Li

Showing results (91-100 of 101) with videos related to

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Computers in Biology and Medicine|January 11, 2024
Machine learning-based prediction model for distant metastasis of breast cancerHao Duan, Yu Zhang, Haoye Qiu, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|March 2, 2011
Conditional QTL mapping for plant height with respect to the length of the spike and internode in two mapping populations of wheatFa Cui, Jun Li, Anming Ding, et al.
Stroke|December 22, 2018
Perioperative Cerebral Microbleeds After Adult Cardiac SurgeryNikil Patel, Caroline Banahan, Justyna Janus, et al.
BMC Medical Research Methodology|May 9, 2024
Weibull parametric model for survival analysis in women with endometrial cancer using clinical and T2-weighted MRI radiomic featuresXingfeng Li, Diana Marcus, James Russell, et al.
Journal of Magnetic Resonance Imaging : JMRI|December 9, 2022
An Integrated Clinical-MR Radiomics Model to Estimate Survival Time in Patients With Endometrial CancerXingfeng Li, Diana Marcus, James Russell, et al.
Cancers|May 16, 2023
Prediction of Deep Myometrial Infiltration, Clinical Risk Category, Histological Type, and Lymphovascular Space Invasion in Women with Endometrial Cancer Based on Clinical and T2-Weighted MRI Radiomic FeaturesXingfeng Li, Michele Dessi, Diana Marcus, et al.
Science China. Life Sciences|April 26, 2025
Wheat stripe rust resistance gene Yr9, derived from rye, is a CC-NBS-LRR gene in a highly conserved NLR clusterYang Yu, Jiajun Liu, Shengjie Lan, et al.
BMJ Open|October 5, 2022
Development of machine learning support for reading whole body diffusion-weighted MRI (WB-MRI) in myeloma for the detection and quantification of the extent of disease before and after treatment (MALIMAR): protocol for a cross-sectional diagnostic test accuracy studyLaura Satchwell, Linda Wedlake, Emily Greenlay, et al.
Insights Into Imaging|February 16, 2024
Curation of myeloma observational study MALIMAR using XNAT: solving the challenges posed by real-world dataSimon J Doran, Theo Barfoot, Linda Wedlake, et al.
Plant Biotechnology Journal|June 24, 2026
PmD479 is an Unutilized Gene for Powdery Mildew Resistance in Common WheatHeng Tang, Bo Lyu, Yang Yu, et al.
Pageof 11

Showing results (91-100 of 101) with videos related to

Sort By:
Pageof 11
Computers in Biology and Medicine|January 11, 2024
Machine learning-based prediction model for distant metastasis of breast cancerHao Duan, Yu Zhang, Haoye Qiu, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|March 2, 2011
Conditional QTL mapping for plant height with respect to the length of the spike and internode in two mapping populations of wheatFa Cui, Jun Li, Anming Ding, et al.
Stroke|December 22, 2018
Perioperative Cerebral Microbleeds After Adult Cardiac SurgeryNikil Patel, Caroline Banahan, Justyna Janus, et al.
BMC Medical Research Methodology|May 9, 2024
Weibull parametric model for survival analysis in women with endometrial cancer using clinical and T2-weighted MRI radiomic featuresXingfeng Li, Diana Marcus, James Russell, et al.
Journal of Magnetic Resonance Imaging : JMRI|December 9, 2022
An Integrated Clinical-MR Radiomics Model to Estimate Survival Time in Patients With Endometrial CancerXingfeng Li, Diana Marcus, James Russell, et al.
Cancers|May 16, 2023
Prediction of Deep Myometrial Infiltration, Clinical Risk Category, Histological Type, and Lymphovascular Space Invasion in Women with Endometrial Cancer Based on Clinical and T2-Weighted MRI Radiomic FeaturesXingfeng Li, Michele Dessi, Diana Marcus, et al.
Science China. Life Sciences|April 26, 2025
Wheat stripe rust resistance gene Yr9, derived from rye, is a CC-NBS-LRR gene in a highly conserved NLR clusterYang Yu, Jiajun Liu, Shengjie Lan, et al.
BMJ Open|October 5, 2022
Development of machine learning support for reading whole body diffusion-weighted MRI (WB-MRI) in myeloma for the detection and quantification of the extent of disease before and after treatment (MALIMAR): protocol for a cross-sectional diagnostic test accuracy studyLaura Satchwell, Linda Wedlake, Emily Greenlay, et al.
Insights Into Imaging|February 16, 2024
Curation of myeloma observational study MALIMAR using XNAT: solving the challenges posed by real-world dataSimon J Doran, Theo Barfoot, Linda Wedlake, et al.
Plant Biotechnology Journal|June 24, 2026
PmD479 is an Unutilized Gene for Powdery Mildew Resistance in Common WheatHeng Tang, Bo Lyu, Yang Yu, et al.
Pageof 11