Yida Wang
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Nanjing Maternity and Child Health Care Hospitalas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0003-4519-9108
- OpenAlex ID
- A5079490872as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 36
A computerized diagnostic model for automatically evaluating placenta accrete spectrum disorders based on the combined MR radiomics-clinical signatures,
A Deep Learning Pipeline Using Prior Knowledge for Automatic Evaluation of Placenta Accreta Spectrum Disorders With <scp>MRI</scp>,
Analysis and optimization of nonlinear carrying performance of hydrostatic ram based on finite difference method and Runge–Kutta method,
An automatic interpretable deep learning pipeline for accurate Parkinson's disease diagnosis using quantitative susceptibility mapping and <scp>T1‐weighted images</scp>,
Ansor: Generating high-performance tensor programs for deep learning,
Approximating Three‐Dimensional (3‐D) Transport of Atmospheric Pollutants via Deep Learning,
A Unified Optimization Approach for CNN Model Inference on Integrated GPUs,
Automated Segmentation of Midbrain Structures in High-Resolution Susceptibility Maps Based on Convolutional Neural Network and Transfer Learning
+28 more
← Authored by 36
A computerized diagnostic model for automatically evaluating placenta accrete spectrum disorders based on the combined MR radiomics-clinical signatures,
A Deep Learning Pipeline Using Prior Knowledge for Automatic Evaluation of Placenta Accreta Spectrum Disorders With <scp>MRI</scp>,
Analysis and optimization of nonlinear carrying performance of hydrostatic ram based on finite difference method and Runge–Kutta method,
An automatic interpretable deep learning pipeline for accurate Parkinson's disease diagnosis using quantitative susceptibility mapping and <scp>T1‐weighted images</scp>,
Ansor: Generating high-performance tensor programs for deep learning,
Approximating Three‐Dimensional (3‐D) Transport of Atmospheric Pollutants via Deep Learning,
A Unified Optimization Approach for CNN Model Inference on Integrated GPUs,
Automated Segmentation of Midbrain Structures in High-Resolution Susceptibility Maps Based on Convolutional Neural Network and Transfer Learning
+28 more
Affiliated with 14
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Summary
Yida Wang is a human[1].