The University of Chicago Header Logo

Connection

Junhan Zhao to Machine Learning

This is a "connection" page, showing publications Junhan Zhao has written about Machine Learning.
Connection Strength

0.834
  1. Advancing hierarchical neural networks with scale-aware pyramidal feature learning for medical image dense prediction. Comput Methods Programs Biomed. 2025 Jun; 265:108705.
    View in: PubMed
    Score: 0.189
  2. Rethinking Copy-Paste for Consistency Learning in Medical Image Segmentation. IEEE Trans Image Process. 2025; 34:1060-1074.
    View in: PubMed
    Score: 0.188
  3. Predicting physical functioning status in older adults: insights from wrist accelerometer sensors and derived digital biomarkers of physical activity. J Am Med Inform Assoc. 2024 Nov 01; 31(11):2571-2582.
    View in: PubMed
    Score: 0.185
  4. Mesoscopic structure graphs for interpreting uncertainty in non-linear embeddings. Comput Biol Med. 2024 Nov; 182:109105.
    View in: PubMed
    Score: 0.183
  5. From physical activity patterns to cognitive status: development and validation of novel digital biomarkers for cognitive assessment in older adults. Int J Behav Nutr Phys Act. 2025 Jan 20; 22(1):11.
    View in: PubMed
    Score: 0.047
  6. Machine learning for cryosection pathology predicts the 2021 WHO classification of glioma. Med. 2023 08 11; 4(8):526-540.e4.
    View in: PubMed
    Score: 0.042
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.