A more efficient three-arm non-inferiority test based on pooled estimators of the homogeneous variance.
- Published in:
- 2018
- By:
- Publication type:
- journal article
Works matching AU Zeng, Weixiong
Results: 12
1
2
Addition of contrast-enhanced mammography enhancement patterns and morphology for differentiating benign from malignant papillary breast lesions.
- Published in:
- British Journal of Radiology, 2025, v. 98, n. 1167, p. 383, doi. 10.1093/bjr/tqae241
- By:
- Publication type:
- Article
3
Using time-series chest radiographs and laboratory data by machine learning for identifying pulmonary infection and colonization of Acinetobacter baumannii.
- Published in:
- Respiratory Research, 2024, v. 25, n. 1, p. 1, doi. 10.1186/s12931-023-02624-x
- By:
- Publication type:
- Article
4
Machine Learning Models to Identify Clinically Significant Anxiety in Short‐Term Insomnia Using Accelerometers.
- Published in:
- Depression & Anxiety (1091-4269), 2025, v. 2025, p. 1, doi. 10.1155/da/3082856
- By:
- Publication type:
- Article
5
Predictive Models for Suicide Attempts in Major Depressive Disorder and the Contribution of EPHX2: A Pilot Integrative Machine Learning Study.
- Published in:
- Depression & Anxiety (1091-4269), 2024, v. 2024, p. 1, doi. 10.1155/2024/5538257
- By:
- Publication type:
- Article
6
Predicting futile recanalization, malignant cerebral edema, and cerebral herniation using intelligible ensemble machine learning following mechanical thrombectomy for acute ischemic stroke.
- Published in:
- Frontiers in Neurology, 2022, v. 13, p. 1, doi. 10.3389/fneur.2022.982783
- By:
- Publication type:
- Article
7
A deep learning–machine learning fusion approach for the classification of benign, malignant, and intermediate bone tumors.
- Published in:
- European Radiology, 2022, v. 32, n. 2, p. 1371, doi. 10.1007/s00330-021-08195-z
- By:
- Publication type:
- Article
8
Time‐Series MR Images Identifying Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using a Deep Learning Approach.
- Published in:
- Journal of Magnetic Resonance Imaging, 2025, v. 61, n. 1, p. 184, doi. 10.1002/jmri.29405
- By:
- Publication type:
- Article
9
Clinical, radiological, and radiomics feature-based explainable machine learning models for prediction of neurological deterioration and 90-day outcomes in mild intracerebral hemorrhage.
- Published in:
- BMC Medical Imaging, 2025, v. 25, n. 1, p. 1, doi. 10.1186/s12880-025-01717-x
- By:
- Publication type:
- Article
10
Architectural distortion detection based on superior–inferior directional context and anatomic prior knowledge in digital breast tomosynthesis.
- Published in:
- Medical Physics, 2022, v. 49, n. 6, p. 3749, doi. 10.1002/mp.15631
- By:
- Publication type:
- Article
11
Can a Computer-Aided Mass Diagnosis Model Based on Perceptive Features Learned From Quantitative Mammography Radiology Reports Improve Junior Radiologists' Diagnosis Performance? An Observer Study.
- Published in:
- 2021
- By:
- Publication type:
- Case Study
12
Can cognition help predict suicide risk in patients with major depressive disorder? A machine learning study.
- Published in:
- BMC Psychiatry, 2022, v. 22, n. 1, p. 1, doi. 10.1186/s12888-022-04223-4
- By:
- Publication type:
- Article