Jessica Loo
Jessica Loo
PhD Student, Duke University
Verified email at duke.edu - Homepage
Title
Cited by
Cited by
Year
Modeling the biomechanics of fetal movements
SW Verbruggen, JHW Loo, TTA Hayat, JV Hajnal, MA Rutherford, ...
Biomechanics and modeling in mechanobiology 15 (4), 995-1004, 2016
362016
Deep longitudinal transfer learning-based automatic segmentation of photoreceptor ellipsoid zone defects on optical coherence tomography images of macular telangiectasia type 2
J Loo, L Fang, D Cunefare, GJ Jaffe, S Farsiu
Biomedical optics express 9 (6), 2681-2698, 2018
232018
Computational modeling of retinal hypoxia and photoreceptor degeneration in patients with age-related macular degeneration
KJ McHugh, D Li, JC Wang, L Kwark, J Loo, V Macha, S Farsiu, LA Kim, ...
PloS one 14 (6), e0216215, 2019
92019
Beyond performance metrics: automatic deep learning retinal OCT analysis reproduces clinical trial outcome
J Loo, TE Clemons, EY Chew, M Friedlander, GJ Jaffe, S Farsiu
Ophthalmology 127 (6), 793-801, 2020
52020
Open-source automatic segmentation of ocular structures and biomarkers of microbial keratitis on slit-lamp photography images using deep learning
J Loo, MF Kriegel, MM Tuohy, KH Kim, V Prajna, MA Woodward, S Farsiu
IEEE Journal of Biomedical and Health Informatics, 2020
12020
Measurement Reliability for Keratitis Morphology
MF Kriegel, J Loo, S Farsiu, V Prajna, M Tuohy, KH Kim, AN Valicevic, ...
Cornea 39 (12), 1503-1509, 2020
2020
Deep learning-based classification and segmentation of retinal cavitations on optical coherence tomography images of macular telangiectasia type 2
J Loo, CX Cai, J Choong, EY Chew, M Friedlander, GJ Jaffe, S Farsiu
British Journal of Ophthalmology, 2020
2020
Meta-learning approach to automatically register multivendor retinal images
A Hasan, Z Deng, J Loo, D Mukherjee, JL Duncan, DG Birch, GJ Jaffe, ...
Investigative Ophthalmology & Visual Science 61 (7), 1634-1634, 2020
2020
In-vivo quantitative analysis of pterygium volume using anterior segment optical coherence tomography imaging
S Onal, J Loo, T Nguyen, M Cherukury, S Farsiu, GJ Jaffe
Investigative Ophthalmology & Visual Science 61 (7), 488-488, 2020
2020
Deep learning-based automatic segmentation of retinal cavitations on OCT images of MacTel2
J Loo, CX Cai, E Chew, M Friedlander, GJ Jaffe, S Farsiu
Investigative Ophthalmology & Visual Science 61 (7), 1616-1616, 2020
2020
Deep learning-based automatic segmentation of intact ellipsoid zone area on optical coherence tomography images of USH2A-related retinal degeneration
S Farsiu, J Loo, JL Duncan, DG Birch, GJ Jaffe
Investigative Ophthalmology & Visual Science 61 (7), 485-485, 2020
2020
Automatic Deep Learning OCT Analysis Algorithm Reliably Reproduces Expert-Evaluated Outcome of a Randomized Clinical Trial for Macular Telangiectasia Type 2 Treatment
J Loo, TE Clemons, EY Chew, M Friedlander, GJ Jaffe, S Farsiu
Investigative Ophthalmology & Visual Science 60 (9), 1449-1449, 2019
2019
Reliability of physicians’ measurements when manually annotating images of microbial keratitis
MF Kriegel, J Loo, V Prajna, S Farsiu, M Tuohy, PM Gompa, L Niziol, ...
Investigative Ophthalmology & Visual Science 60 (9), 2108-2108, 2019
2019
Deep learning-based automatic segmentation of stromal infiltrates and associated biomarkers on slit-lamp images of microbial keratitis
S Farsiu, J Loo, MF Kriegel, M Tuohy, V Prajna, MA Woodward
Investigative Ophthalmology & Visual Science 60 (9), 1480-1480, 2019
2019
Deep learning-based automatic segmentation of ellipsoid zone defects in optical coherence tomography images of macular telangiectasia type 2
J Loo, L Fang, D Cunefare, GJ Jaffe, S Farsiu
Investigative Ophthalmology & Visual Science 59 (9), 1225-1225, 2018
2018
Noise Reduction in Optical Coherence Tomography using Deep Image Prior
K Hagan, D Li, J Loo
The system can't perform the operation now. Try again later.
Articles 1–16