Published on in Vol 9, No 1 (2021): January
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/24467, first published
.
Journals
- Vasiloglou M, Christodoulidis S, Reber E, Stathopoulou T, Lu Y, Stanga Z, Mougiakakou S. Perspectives and Preferences of Adult Smartphone Users Regarding Nutrition and Diet Apps: Web-Based Survey Study. JMIR mHealth and uHealth 2021;9(7):e27885 View
- Vasiloglou M, Marcano I, Lizama S, Papathanail I, Spanakis E, Mougiakakou S. Multimedia Data-Based Mobile Applications for Dietary Assessment. Journal of Diabetes Science and Technology 2023;17(4):1056 View
- Santo K. Can Digital Health Solutions Fill in the Gap for Effective Guideline Implementation in Cardiovascular Disease Prevention: Hope or Hype?. Current Atherosclerosis Reports 2022;24(9):747 View
- Martinon P, Saliasi I, Bourgeois D, Smentek C, Dussart C, Fraticelli L, Carrouel F. Nutrition-Related Mobile Apps in the French App Stores: Assessment of Functionality and Quality. JMIR mHealth and uHealth 2022;10(3):e35879 View
- Vasiloglou M. mHealth nutrition apps in dietary assessment. Public Health and Toxicology 2022;2(Supplement 1) View
- Hinojosa-Nogueira D, Ortiz-Viso B, Navajas-Porras B, Pérez-Burillo S, González-Vigil V, de la Cueva S, Rufián-Henares J. Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition. Nutrients 2023;15(2):276 View
- König L, Van Emmenis M, Nurmi J, Kassavou A, Sutton S. Characteristics of smartphone-based dietary assessment tools: a systematic review. Health Psychology Review 2022;16(4):526 View
- Yanai A, Uchiyama K, Suganuma S. Salt Reduction Using a Smartphone Application Based on an Artificial Intelligence System for Dietary Assessment in Patients with Chronic Kidney Disease: A Single-Center Retrospective Cohort Study. Kidney and Dialysis 2023;3(1):139 View
- He J, Lin L, Eicher-Miller H, Zhu F. Long-Tailed Food Classification. Nutrients 2023;15(12):2751 View
- Papathanail I, Abdur Rahman L, Brigato L, Bez N, Vasiloglou M, van der Horst K, Mougiakakou S. The Nutritional Content of Meal Images in Free-Living Conditions—Automatic Assessment with goFOODTM. Nutrients 2023;15(17):3835 View
- Pala D, Petrini G, Bosoni P, Larizza C, Quaglini S, Lanzola G. Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities. International Journal of Medical Informatics 2024;184:105351 View
- Chung C, Chiang P, Tan C, Wu C, Schmidt H, Kotarski A, Guise D, Wong A. Opportunities to design better computer vison-assisted food diaries to support individuals and experts in dietary assessment: An observation and interview study with nutrition experts. PLOS Digital Health 2024;3(11):e0000665 View
Books/Policy Documents
- Panagiotou M, Papathanail I, Abdur Rahman L, Brigato L, Bez N, Vasiloglou M, Stathopoulou T, de Galan B, Pedersen-Bjergaard U, van der Horst K, Mougiakakou S. Computer Analysis of Images and Patterns. View