Peng Zhou

Central South University — China

Medicine · Health Sciences

22h-index1.3kcitations157works0.92yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(41), MRI in cancer diagnosis(29), Lung Cancer Diagnosis and Treatment(19), Medical Imaging Techniques and Applications(17), Advanced X-ray and CT Imaging(15)

Publications156 total

Supplementary Table S3 from Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules
2025Open Access
Supplementary Table S5 from Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules
2025Open Access
Supplementary Table S2 from Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules
2025Open Access
Supplementary Figure S7 from Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules
2025Open Access
Supplementary Figure S6 from Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules
2025Open Access
Supplementary Figure S4 from Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules
2025Open Access
Supplementary Figure S8 from Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules
2025Open Access
Data from Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules
2025Open Access
Supplementary Figure S5 from Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules
2025Open Access
Supplementary Figure S3 from Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules
2025Open Access
Supplementary Figure S1 from Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules
2025Open Access
Supplementary Table S1 from Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules
2025Open Access
Supplementary Figure S2 from Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules
2025Open Access
Supplementary Table S4 from Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules
2025Open Access
Supplementary Table S6 from Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules
2025Open Access
Predicting Visceral Pleural Invasion in Part-Solid and Solid Nodules Using CT Features: A Systematic Review, Meta-Analysis, and Independent Cohort Validation
Journal of Computer Assisted Tomography·2025· 1 cited
Epigenomic sequencing technologies for neurodevelopmental disorders: from mechanistic insights to methodological advances
2025
Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules
Cancer Research·2025· 1 citedOpen Access
Contrast-enhanced ultrasound diagnosis and efficacy prediction of primary breast lymphoma: a case report and literature review
Frontiers in Oncology·2025Open Access
The improved features to dose correlation for dose volumes prediction in multidisease radiation therapy plans
Scientific Reports·2025· 1 citedOpen Access
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Frequent Co-authors

Jing Ren(14), Jieke Liu(12), Haomiao Qing(10), Dayong Zhuang(8), Changjiu He(6), Qingqing He(5), Ziyi Fan(5), Hongbing Luo(5), Yong Li(5), Luming Zheng(4), Yikai Zhao(4), Zhen Lv(4), Xi Yang(4), Xu Guohui(4), Guohui Xu(4), Jian Zhu(3), Qingqing He(3), Tao Yue(3), Hao Xu(3), Chun‐Hua Wang(3)