LabCompass

Xing Yao

Computer Science · Indiana University

OpenAlex ORCID
Advanced Neural Network ApplicationsFunctional Brain Connectivity StudiesMental Health Research TopicsAI in cancer detectionSurgical Simulation and Training

Publications

63

Citations

177

Est. group size

—

Recurring co-author estimate

Active years

24

Publishing since 2003

Research summary
AI-generated

Xing Yao works in medical image analysis, developing artificial intelligence and machine learning methods to interpret medical images such as ultrasound, endoscopic video, and MRI scans. Much of the work focuses on automatically outlining structures in images (segmentation), including applications to the placenta, kidney surgery, and cancer detection, as well as analyzing brain activity patterns from functional MRI in conditions like Alzheimer's disease.

Medical image segmentation with deep learningUltrasound image analysis and stitchingFunctional brain connectivity (fMRI) analysisAI for cancer and lesion detectionUncertainty estimation in medical imaging models

Publication activity grew substantially, rising from a few papers per year in the late 2010s to a peak of around 16 in 2024, averaging roughly 9.6 papers per year over the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 9.6/year recently
2017: 2 publications17182019: 3 publications192020: 2 publications20212022: 9 publications222023: 13 publications232024: 16 publications16242025: 5 publications252026: 5 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×10
  • Lecture notes in computer science×2
  • Research Square×2
  • PubMed×2
  • IEEE Transactions on Medical Imaging×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

Claim or correct this profile