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Russakoff, Daniel B.
19
results:
Search for persons
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Online (19)
Mediatypes
Articles (Online) (13)
Bookchapter (Online) (1)
OpenAccess-fulltext (5)
Sorted by: Relevance
Sorted by: Year
?
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