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Penghao Lai

Showing results (1-10 of 6) with videos related to

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Frontiers in Oncology|May 25, 2026
Impact of ComBat harmonization on MRI radiomic-analysis of nasopharyngeal carcinoma: a dual-center studyWei Pei, Yunyun Wei, Penghao Lai, et al.
Reproductive Biomedicine Online|April 8, 2025
An explainable ultrasound-based machine learning model for predicting reproductive outcomes after frozen embryo transferFangfang Xu, Qianqing Ma, Penghao Lai, et al.
Quantitative Imaging in Medicine and Surgery|July 3, 2025
Development and validation of an MRI radiomics-based interpretable machine learning model for predicting the progression-free survival in locally advanced nasopharyngeal carcinomaPenghao Lai, Xiaobo Chen, Wei Pei, et al.
Journal of Translational Medicine|September 6, 2024
MRI radiomics and biological correlations for predicting axillary lymph node burden in early-stage breast cancerMinping Hong, Sijia Fan, Zeyan Xu, et al.
European Radiology|February 10, 2025
An interpretable machine learning model assists in predicting induction chemotherapy response and survival for locoregionally advanced nasopharyngeal carcinoma using MRI: a multicenter studyHai Liao, Yang Zhao, Wei Pei, et al.
Research (Washington, D.C.)|June 1, 2026
Lumi-Guide: An Artificial-Intelligence-Driven Multimodal Framework for Optimizing Personalized Neoadjuvant Therapy Decision-Making in Luminal Breast CancerYanting Liang, Xiaobo Chen, Penghao Lai, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Frontiers in Oncology|May 25, 2026
Impact of ComBat harmonization on MRI radiomic-analysis of nasopharyngeal carcinoma: a dual-center studyWei Pei, Yunyun Wei, Penghao Lai, et al.
Reproductive Biomedicine Online|April 8, 2025
An explainable ultrasound-based machine learning model for predicting reproductive outcomes after frozen embryo transferFangfang Xu, Qianqing Ma, Penghao Lai, et al.
Quantitative Imaging in Medicine and Surgery|July 3, 2025
Development and validation of an MRI radiomics-based interpretable machine learning model for predicting the progression-free survival in locally advanced nasopharyngeal carcinomaPenghao Lai, Xiaobo Chen, Wei Pei, et al.
Journal of Translational Medicine|September 6, 2024
MRI radiomics and biological correlations for predicting axillary lymph node burden in early-stage breast cancerMinping Hong, Sijia Fan, Zeyan Xu, et al.
European Radiology|February 10, 2025
An interpretable machine learning model assists in predicting induction chemotherapy response and survival for locoregionally advanced nasopharyngeal carcinoma using MRI: a multicenter studyHai Liao, Yang Zhao, Wei Pei, et al.
Research (Washington, D.C.)|June 1, 2026
Lumi-Guide: An Artificial-Intelligence-Driven Multimodal Framework for Optimizing Personalized Neoadjuvant Therapy Decision-Making in Luminal Breast CancerYanting Liang, Xiaobo Chen, Penghao Lai, et al.
Pageof 1