MingDe Lin

Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation

2019 · 20 Zit.

Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis

2022 · 16 Zit. · Frontiers in Oncology

What's Needed to Bridge the Gap Between US FDA Clearance and Real-world Use of AI Algorithms

2021 · 8 Zit. · Academic Radiology

Accelerating the Translation of Artificial Intelligence From Ideas to Routine Clinical Workflow

2019 · 7 Zit. · Academic Radiology

NIMG-35. MACHINE LEARNING GLIOMA GRADE PREDICTION LITERATURE: A TRIPOD ANALYSIS OF REPORTING QUALITY

2021 · 2 Zit. · Neuro-Oncology

Bias assessment of Artificial Intelligence papers in Glioma segmentation using TRIPOD (P14-9.005)

2022 · 0 Zit. · Neurology

NIMG-38. MEASURING ADHERENCE TO TRIPOD OF ARTIFICIAL INTELLIGENCE PAPERS IN THE GLIOMA SEGMENTATION

2021 · 0 Zit. · Neuro-Oncology