E-LIB Suche - Ergebnisse für: Russakoff, Daniel B.

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

Combining In Vivo Corneal Confocal Microscopy with Deep Lea..:

McCarron, Megan E ; Weinberg, Rachel L ; Izzi, Jessica M...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009813/. , 2021

Link: http://www.ncbi.nlm.nih...

15

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

Russakoff, Daniel B ; Mannil, Suria S ; Oakley, Jonathan D...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347026/. , 2020

Link: http://www.ncbi.nlm.nih...