Michael Chiang

Professor

  • 5518 Citations
  • 33 h-Index
19992020
If you made any changes in Pure, your changes will be visible here soon.

Fingerprint Dive into the research topics where Michael Chiang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 4 Similar Profiles
Retinopathy of Prematurity Medicine & Life Sciences
Electronic Health Records Medicine & Life Sciences
Ophthalmology Medicine & Life Sciences
Telemedicine Medicine & Life Sciences
Documentation Medicine & Life Sciences
Ophthalmoscopy Medicine & Life Sciences
Workflow Medicine & Life Sciences
Blood Vessels Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2003 2020

Retinopathy of Prematurity
Health Information Management
Informatics
Retinal Vessels
Eye Diseases
Learning systems
Image analysis
Image processing
Ophthalmology
Image classification
Health
Research
Education
Informatics
Translational Medical Research
Medical Informatics
Retinopathy of Prematurity
Mentors
Ophthalmology
Telemedicine

Research Output 1999 2019

Accelerated experimental design for pairwise comparisons

Guo, Y., Dy, J., Erdogmus, D., Kalpathy-Cramer, J., Ostmo, S., Campbell, J., Chiang, M. & Ioannidis, S., Jan 1 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 432-440 9 p. (SIAM International Conference on Data Mining, SDM 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Design of experiments
Labels
Geometry
2 Citations (Scopus)

A Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning to Monitor Disease Regression after Treatment

Gupta, K., Campbell, J., Taylor, S., Brown, J. M., Ostmo, S., Chan, R. V. P., Dy, J., Erdogmus, D., Ioannidis, S., Kalpathy-Cramer, J., Kim, S. J. & Chiang, M., Jan 1 2019, In : JAMA ophthalmology.

Research output: Contribution to journalArticle

Retinopathy of Prematurity
Learning
Blood Vessels
Therapeutics
Treatment Failure

Changes in Electronic Health Record Use Time and Documentation over the Course of a Decade

Goldstein, I. H., Hwang, T., Gowrisankaran, S., Bales, R., Chiang, M. & Hribar, M., Jan 1 2019, In : Ophthalmology.

Research output: Contribution to journalArticle

Electronic Health Records
Documentation
Office Visits
Linear Models
Ophthalmology

Classification and comparison via neural networks

Yıldız, İ., Tian, P., Dy, J., Erdoğmuş, D., Brown, J., Kalpathy-Cramer, J., Ostmo, S., Campbell, J., Chiang, M. & Ioannidis, S., Oct 1 2019, In : Neural Networks. 118, p. 65-80 16 p.

Research output: Contribution to journalArticle

Area Under Curve
Labels
Neural networks
Learning
Network architecture

Deep learning in ophthalmology: The technical and clinical considerations

Ting, D. S. W., Peng, L., Varadarajan, A. V., Keane, P. A., Burlina, P. M., Chiang, M., Schmetterer, L., Pasquale, L. R., Bressler, N. M., Webster, D. R., Abramoff, M. & Wong, T. Y., Jan 1 2019, In : Progress in Retinal and Eye Research.

Research output: Contribution to journalReview article

Ophthalmology
Learning
Artificial Intelligence
Eye Diseases
Macular Degeneration