Published on in Vol 7, No 2 (2018): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9359, first published .
Calorie Estimation From Pictures of Food: Crowdsourcing Study

Calorie Estimation From Pictures of Food: Crowdsourcing Study

Calorie Estimation From Pictures of Food: Crowdsourcing Study

Journals

  1. Zhou L, Parmanto B. Development and Validation of a Comprehensive Well-Being Scale for People in the University Environment (Pitt Wellness Scale) Using a Crowdsourcing Approach: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(4):e15075 View
  2. Hahn Y, Oh B. Visualization of Actionable Food Knowledge: Lessons from the Development of the Food Balance Lunchbox. Archives of Design Research 2020;33(1):37 View
  3. Ventura V, Cavaliere A, Iannò B. #Socialfood: Virtuous or vicious? A systematic review. Trends in Food Science & Technology 2021;110:674 View
  4. Dlamini S, Mukoma G, Norris S. Should fast-food nutritional labelling in South Africa be mandatory?. South African Journal of Clinical Nutrition 2022;35(4):155 View
  5. Smith S, Adam M, Manning G, Burrows T, Collins C, Rollo M. Food Volume Estimation by Integrating 3D Image Projection and Manual Wire Mesh Transformations. IEEE Access 2022;10:48367 View
  6. Leino A, Magee J, Kershaw D, Pai M, Park J. A Comprehensive Mixed‐Method Approach to Characterize the Source of Diurnal Tacrolimus Exposure Variability in Children: Systematic Review, Meta‐analysis, and Application to an Existing Data Set. The Journal of Clinical Pharmacology 2024;64(3):334 View

Books/Policy Documents

  1. Florance Mary M, Hemakumar B. Evolutionary Computing and Mobile Sustainable Networks. View