Jiaming Q.

Key Skills

Software

No software listed

Top Subject Matter

Medical AI - 3D Radiographic Image Analysis (CT/MRI/CBCT)

Dental Medical Imaging—Caries Detection and Tooth Segmentation

Healthcare & Life Sciences - Clinical Research Design and Real-world Validation

Top Data Types

Image

Medical Dicom

Text

Top Task Types

Segmentation

Bounding Box

Classification

Polyline

Freelancer Overview

Core Researcher—Medical Imaging Data Annotation & Segmentation for AI. Core strengths include Internal and Proprietary Tooling. Education includes Postdoctoral Fellowship, Tongji University (2025) and Doctor of Philosophy, Tongji University (2025). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Segmentation.

Labeling Experience

Core Researcher—Medical Imaging Data Annotation & Segmentation for AI

Segmentation

I led the annotation and segmentation of CBCT and micro-CT dental imaging datasets for AI training purposes. This role required voxel-level precision in marking caries lesions, tooth structures, and anatomical features in both 2D and 3D modalities. I utilized advanced medical imaging software to ensure high-quality, clinically relevant labels for AI models. • Manual and automated segmentation of caries and dental anatomies on CBCT and micro-CT scans. • Precise identification and demarcation of anatomical landmarks and pathological findings. • Employed MITK, 3D Slicer, ITK-SNAP, and Materialise Mimics for data annotation and 3D modeling. • Collaborated in AI-driven oral diagnostic system development using annotated datasets.

2022 - Present

Education

Work History