Browse by UCL people
Group by: Type | Date
Number of items: 6.
Article
Nixon, M;
Outlaw, F;
Leung, TS;
(2020)
Accurate device-independent colorimetric measurements using smartphones.
PLoS One
, 15
(3)
, Article e0230561. 10.1371/journal.pone.0230561.
|
Outlaw, F;
Nixon, M;
Odeyemi, O;
MacDonald, LW;
Meek, J;
Leung, TS;
(2020)
Smartphone screening for neonatal jaundice via ambient-subtracted sclera chromaticity.
PLoS One
, 15
(3)
, Article e0216970. 10.1371/journal.pone.0216970.
|
Proceedings paper
Nixon, M;
Outlaw, F;
MacDonald, LW;
Leung, TS;
(2019)
The importance of a device specific calibration for smartphone colorimetry.
In:
27th Color and Imaging Conference Final Program and Proceedings.
(pp. pp. 49-54).
Society for Imaging Science and Technology: Paris, France.
|
Nixon-Hill, M;
Outlaw, F;
MacDonald, LW;
Mookerjee, R;
Leung, TS;
(2020)
Minimising ambient illumination via ambient subtraction: Smartphone assessment of jaundice in liver patients via sclera images.
In:
Final Program and Proceedings - IS and T/SID Color Imaging Conference.
(pp. pp. 307-312).
Society for Imaging Science & Technology
|
Outlaw, F;
Nixon, M;
Brako, NO;
MacDonald, LW;
Meek, J;
Enweronu-Laryea, C;
Leung, TS;
(2019)
Smartphone colorimetry using ambient subtraction: Application to neonatal jaundice screening in Ghana.
In:
UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers.
(pp. pp. 172-175).
ACM: London, UK.
|
Thesis
Nixon-Hill, Miranda Helen Sarah;
(2022)
Developing a home monitoring system for patients with chronic liver disease using a smartphone.
Doctoral thesis (Ph.D), UCL (University College London).
|