I agree that this site is using cookies. You can find further informations here.
X
Russakoff, Daniel B.
19  results:
Search for persons X
?
1

Deep-learning based automated quantification of critical op..:

Borrelli, Enrico ; Oakley, Jonathan D. ; Iaccarino, Giorgio...
Eye.  38 (2023)  3 - p. 537-544 , 2023
Link: https://doi.org/10.1038/..
 
?
2

QUANTITATIVE ASSESSMENT OF AUTOMATED OPTICAL COHERENCE TOMO..:

Oakley, Jonathan D. ; Verdooner, Steven ; Russakoff, Daniel B....
Retina.  43 (2022)  3 - p. 433-443 , 2022
Link: https://doi.org/10.1097/..
 
?
3

Utilization of deep learning to quantify fluid volume of ne..:

Sodhi, Simrat K. ; Pereira, Austin ; Oakley, Jonathan D....
PLOS ONE.  17 (2022)  2 - p. e0262111 , 2022
Link: https://doi.org/10.1371/..
 
?
4

Corneal confocal microscopy demonstrates axonal loss in dif..:

Petropoulos, Ioannis N. ; Fitzgerald, Kathryn C. ; Oakley, Jonathan...
Scientific Reports.  11 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
?
5

Deep learning-based analysis of macaque corneal sub-basal n..:

Oakley, Jonathan D. ; Russakoff, Daniel B. ; McCarron, Megan E....
Eye and Vision.  7 (2020)  1 - p. , 2020
Link: https://doi.org/10.1186/..
 
?
6

A 3D Deep Learning System for Detecting Referable Glaucoma ..:

Russakoff, Daniel B. ; Mannil, Suria S. ; Oakley, Jonathan D....
Translational Vision Science & Technology.  9 (2020)  2 - p. 12 , 2020
Link: https://doi.org/10.1167/..
 
?
7

Deep Learning for Prediction of AMD Progression: A Pilot St..:

Russakoff, Daniel B. ; Lamin, Ali ; Oakley, Jonathan D...
Investigative Opthalmology & Visual Science.  60 (2019)  2 - p. 712 , 2019
Link: https://doi.org/10.1167/..
 
?
8

Changes in volume of various retinal layers over time in ea..:

Lamin, Ali ; Oakley, Jonathan D. ; Dubis, Adam M...
Eye.  33 (2018)  3 - p. 428-434 , 2018
Link: https://doi.org/10.1038/..
 
?
9

Changes in macular layers in the early course of non-arteri..:

Keller, Johannes ; Oakley, Jonathan D. ; Russakoff, Daniel B....
Graefe's Archive for Clinical and Experimental Ophthalmology.  254 (2015)  3 - p. 561-567 , 2015
Link: https://doi.org/10.1007/..
 
?
10

Progressive attenuation fields: Fast 2D‐3D image registrati..:

Rohlfing, Torsten ; Russakoff, Daniel B. ; Denzler, Joachim..
Medical Physics.  32 (2005)  9 - p. 2870-2880 , 2005
Link: https://doi.org/10.1118/..
 
?
11

An Expectation Maximization-Like Algorithm for Multi-atlas ..:

, In: Informatik aktuell; Bildverarbeitung für die Medizin 2003,
Rohlfing, Torsten ; Russakoff, Daniel B. ; Maurer Jr., Calvin R. - p. 348-352 , 2003
Link: https://doi.org/10.1007/..
 
?
12

Head tracking using stereo:

Russakoff, Daniel B. ; Herman, Martin
Machine Vision and Applications.  13 (2002)  3 - p. 164-173 , 2002
Link: https://doi.org/10.1007/..
 
?
13

Utilization of deep learning to quantify fluid volume of ne..:

Sodhi, Simrat K ; Pereira, Austin ; Oakley, Jonathan D...
https://www.repository.cam.ac.uk/handle/1810/335201.  , 2022
Link: https://www.repository.c..
 
?
14

Utilization of deep learning to quantify fluid volume of ne..:

Simrat K Sodhi ; Austin Pereira ; Jonathan D Oakley...
https://doi.org/10.1371/journal.pone.0262111.  , 2022
Link: https://doi.org/10.1371/..
 
?
15

Utilization of deep learning to quantify fluid volume of ne..:

Simrat K. Sodhi ; Austin Pereira ; Jonathan D. Oakley...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8843217/?tool=EBI.  , 2022
Link: https://doaj.org/article..
 
1-15