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Minghao Wu

Showing results (51-60 of 59) with videos related to

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Plos One|January 2, 2026
Prognostic value of red blood cell distribution width in traumatic brain injury: A mediation and deep learning analysisShuting Ding, Zhen Zhang, Qifu Bo, et al.
AJNR. American Journal of Neuroradiology|December 11, 2023
Automated Determination of the H3 K27-Altered Status in Spinal Cord Diffuse Midline Glioma by Radiomics Based on T2-Weighted MR ImagesJunjie Li, YongZhi Wang, Jinyuan Weng, et al.
BMC Medicine|November 19, 2025
Metabolic, perfusion, and diffusion imaging enhance diagnosis and prognosis of H3K27-altered diffuse midline gliomasJun Qiu, Junjie Li, Yunyun Duan, et al.
European Radiology|October 19, 2023
Amide proton transfer-weighted imaging and derived radiomics in the classification of adult-type diffuse gliomasMinghao Wu, Tongling Jiang, Min Guo, et al.
Neurobiology of Disease|February 26, 2026
Unveiling the hidden genetic conundrum linking pulmonary diseases and neuropsychiatric disorders: Novel insights from advanced omics-based analyses of the lung-brain axisShuting Ding, Weiqiang Su, Na Sun, et al.
Frontiers in Oncology|April 5, 2021
Imaging Biomarkers to Predict and Evaluate the Effectiveness of Immunotherapy in Advanced Non-Small-Cell Lung CancerYing Liu, Minghao Wu, Yuwei Zhang, et al.
Frontiers in Oncology|January 27, 2022
A Combined-Radiomics Approach of CT Images to Predict Response to Anti-PD-1 Immunotherapy in NSCLC: A Retrospective Multicenter StudyMinghao Wu, Yanyan Zhang, Jianing Zhang, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|November 2, 2023
A Fully Automated Deep-Learning Model for Predicting the Molecular Subtypes of Posterior Fossa Ependymomas Using T2-Weighted ImagesDan Cheng, Zhizheng Zhuo, Jiang Du, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 24, 2023
Deep Learning for Noninvasive Assessment of H3 K27M Mutation Status in Diffuse Midline Gliomas Using MR ImagingJunjie Li, Peng Zhang, Liying Qu, et al.
Pageof 6

Showing results (51-60 of 59) with videos related to

Sort By:
Pageof 6
You have reached the last page of results.This site can display upto 59 results.
Plos One|January 2, 2026
Prognostic value of red blood cell distribution width in traumatic brain injury: A mediation and deep learning analysisShuting Ding, Zhen Zhang, Qifu Bo, et al.
AJNR. American Journal of Neuroradiology|December 11, 2023
Automated Determination of the H3 K27-Altered Status in Spinal Cord Diffuse Midline Glioma by Radiomics Based on T2-Weighted MR ImagesJunjie Li, YongZhi Wang, Jinyuan Weng, et al.
BMC Medicine|November 19, 2025
Metabolic, perfusion, and diffusion imaging enhance diagnosis and prognosis of H3K27-altered diffuse midline gliomasJun Qiu, Junjie Li, Yunyun Duan, et al.
European Radiology|October 19, 2023
Amide proton transfer-weighted imaging and derived radiomics in the classification of adult-type diffuse gliomasMinghao Wu, Tongling Jiang, Min Guo, et al.
Neurobiology of Disease|February 26, 2026
Unveiling the hidden genetic conundrum linking pulmonary diseases and neuropsychiatric disorders: Novel insights from advanced omics-based analyses of the lung-brain axisShuting Ding, Weiqiang Su, Na Sun, et al.
Frontiers in Oncology|April 5, 2021
Imaging Biomarkers to Predict and Evaluate the Effectiveness of Immunotherapy in Advanced Non-Small-Cell Lung CancerYing Liu, Minghao Wu, Yuwei Zhang, et al.
Frontiers in Oncology|January 27, 2022
A Combined-Radiomics Approach of CT Images to Predict Response to Anti-PD-1 Immunotherapy in NSCLC: A Retrospective Multicenter StudyMinghao Wu, Yanyan Zhang, Jianing Zhang, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|November 2, 2023
A Fully Automated Deep-Learning Model for Predicting the Molecular Subtypes of Posterior Fossa Ependymomas Using T2-Weighted ImagesDan Cheng, Zhizheng Zhuo, Jiang Du, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 24, 2023
Deep Learning for Noninvasive Assessment of H3 K27M Mutation Status in Diffuse Midline Gliomas Using MR ImagingJunjie Li, Peng Zhang, Liying Qu, et al.
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