Yiqiu Shen
Scholar

Yiqiu Shen

Google Scholar ID: XaeN2zgAAAAJ
New York University
Deep LearningMedical Image ProcessingWeakly Supervised LearningInterpretability
Citations & Impact
All-time
Citations
3,953
 
H-index
16
 
i10-index
19
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • Published multiple papers, such as 'Understanding differences in applying DETR to natural and medical images' (2025), 'Burextract-llama: An llm for clinical concept extraction in breast ultrasound reports' (2024), etc.; received several awards and grants, including NIH UF1 Multi-Year Funded Research Project Cooperative Agreement Grant (2025), Milstein Pilot Project Fund (2025), NYU Outstanding Dissertation Award (2024), etc.
Research Experience
  • Worked at Two Sigma Investments; currently an Assistant Professor in the Department of Radiology at NYU Grossman School of Medicine.
Education
  • Ph.D. from NYU Center for Data Science, advised by Prof. Krzysztof J. Geras and Prof. Kyunghyun Cho; B.S. in Computer Science from Rice University.
Background
  • Research interests include creating label-efficient and explainable deep learning models for medical imaging to improve clinical workflow and patient care. Specific directions include multimodal learning, explainable AI, and human-AI collaboration.
Miscellany
  • Looking for highly motivated Ph.D. students starting in Fall 2026, and open to collaborations with predoctoral researchers and visiting scholars.