Ming Li

7PUBLICATIONS
10CO-AUTHORS
Sensory processes, perception and performancePredictive and prognostic markersData structures and algorithmsCancer diagnosisDeep learning
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Publications (7)

|Sep 30, 2026
A transfer learning-based hybrid deep- and machine-learning regression approach for predicting the postoperative pulmonary function.

|Sep 25, 2023
Computed Tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinoma.

Youlan Shang, Weidao Chen, Ge Li

|Sep 03, 2020
Image quality and clinical usefulness of automatic tube current modulation technology in female chest computed tomography screening.

Cheng Li, Lin Qi, Yusheng Zhang

|Oct 12, 2019
Analysis of CT morphologic features and attenuation for differentiating among transient lesions, atypical adenomatous hyperplasia, adenocarcinoma in situ, minimally invasive and invasive adenocarcinoma presenting as pure ground-glass nodules.

Lin Qi, Ke Xue, Cheng Li

|Aug 20, 2019
Convolution kernel and iterative reconstruction affect the diagnostic performance of radiomics and deep learning in lung adenocarcinoma pathological subtypes.

Wei Zhao, Wei Zhang, Yingli Sun

|May 11, 2019
Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning.

Wei Zhao, Jiancheng Yang, Bingbing Ni

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Frequent Collaborators

1 joint publications

Cheng Li

1 joint publications

Youlan Shang

1 joint publications

Weidao Chen

1 joint publications

Ge Li