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Annals of Biomedical Engineering|September 2, 2024
Super-Resolving and Denoising 4D flow MRI of Neurofluids Using Physics-Guided Neural NetworksNeal M Patel, Emily R Bartusiak, Sean M Rothenberger, et al.Nutrients|June 5, 2015
Feasibility and Use of the Mobile Food Record for Capturing Eating Occasions among Children Ages 3-10 Years in GuamTanisha F Aflague, Carol J Boushey, Rachael T Leon Guerrero, et al.Proceedings of Spie--The International Society for Optical Engineering|September 28, 2011
Personal Dietary Assessment Using Mobile DevicesAnand Mariappan, Marc Bosch, Fengqing Zhu, et al.Proceedings of Spie--The International Society for Optical Engineering|December 1, 2011
Technology-Assisted Dietary AssessmentFengqing Zhu, Anand Mariappan, Carol J Boushey, et al.Public Health Nutrition|February 18, 2011
Adolescents in the United States can identify familiar foods at the time of consumption and when prompted with an image 14 h postprandial, but poorly estimate portionsTusaRebecca E Schap, Bethany L Six, Edward J Delp, et al.Proceedings of Spie--The International Society for Optical Engineering|October 26, 2011
Volume Estimation Using Food Specific Shape Templates in Mobile Image-Based Dietary AssessmentJunghoon Chae, Insoo Woo, Sungye Kim, et al.Nutrients|January 31, 2017
Characterizing Early Adolescent Plate Waste Using the Mobile Food RecordChloe E Panizza, Carol J Boushey, Edward J Delp, et al.Journal of Diabetes Science and Technology|April 28, 2012
Comparison of known food weights with image-based portion-size automated estimation and adolescents' self-reported portion sizeChristina D Lee, Junghoon Chae, TusaRebecca E Schap, et al.Scientific Reports|January 18, 2024
Integrated image and sensor-based food intake detection in free-livingTonmoy Ghosh, Yue Han, Viprav Raju, et al.Nutrients|March 25, 2017
Feasibility of Assessing Diet with a Mobile Food Record for Adolescents and Young Adults with Down SyndromeKatherine E Bathgate, Jill L Sherriff, Helen Leonard, et al.Pageof 10