Patient-specific modeling of retinal oxygen as a predictor of AMD progression
Publication
, Conference
McHugh, K; Kwark, L; Farsiu, S; Kim, LA; Saint-Geniez, M
Published in: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
April 1, 2014
Duke Scholars
Published In
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
EISSN
1552-5783
ISSN
0146-0404
Publication Date
April 1, 2014
Volume
55
Issue
13
Publisher
ASSOC RESEARCH VISION OPHTHALMOLOGY INC
Related Subject Headings
- Ophthalmology & Optometry
- 11 Medical and Health Sciences
- 06 Biological Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
McHugh, K., Kwark, L., Farsiu, S., Kim, L. A., & Saint-Geniez, M. (2014). Patient-specific modeling of retinal oxygen as a predictor of AMD progression. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (Vol. 55). ASSOC RESEARCH VISION OPHTHALMOLOGY INC.
McHugh, Kevin, Leon Kwark, Sina Farsiu, Leo A. Kim, and Magali Saint-Geniez. “Patient-specific modeling of retinal oxygen as a predictor of AMD progression.” In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, Vol. 55. ASSOC RESEARCH VISION OPHTHALMOLOGY INC, 2014.
McHugh K, Kwark L, Farsiu S, Kim LA, Saint-Geniez M. Patient-specific modeling of retinal oxygen as a predictor of AMD progression. In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. ASSOC RESEARCH VISION OPHTHALMOLOGY INC; 2014.
McHugh, Kevin, et al. “Patient-specific modeling of retinal oxygen as a predictor of AMD progression.” INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, vol. 55, no. 13, ASSOC RESEARCH VISION OPHTHALMOLOGY INC, 2014.
McHugh K, Kwark L, Farsiu S, Kim LA, Saint-Geniez M. Patient-specific modeling of retinal oxygen as a predictor of AMD progression. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. ASSOC RESEARCH VISION OPHTHALMOLOGY INC; 2014.
Published In
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
EISSN
1552-5783
ISSN
0146-0404
Publication Date
April 1, 2014
Volume
55
Issue
13
Publisher
ASSOC RESEARCH VISION OPHTHALMOLOGY INC
Related Subject Headings
- Ophthalmology & Optometry
- 11 Medical and Health Sciences
- 06 Biological Sciences