Fengqing Zhu, Ph.D.
Affiliations: | 2011 | Electrical and Computer Engineering | Purdue University, West Lafayette, IN, United States |
Area:
General Engineering, Electronics and Electrical Engineering, Computer Engineering, RadiologyGoogle:
"Fengqing Zhu"Parents
Sign in to add mentorEdward J. Delp | grad student | 2011 | Purdue | |
(Multilevel image segmentation with application in dietary assessment and evaluation.) |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Park T, Mahmud T, Lee J, et al. (2024) A machine-learning-enabled smart neckband for monitoring dietary intake. Pnas Nexus. 3: pgae156 |
Whitton C, Collins CE, Mullan BA, et al. (2024) Accuracy of energy and nutrient intake estimation versus observed intake using four technology-assisted dietary assessment methods: a randomized crossover feeding study. The American Journal of Clinical Nutrition |
Lin L, He J, Zhu F, et al. (2023) Integration of USDA Food Classification System and Food Composition Database for Image-Based Dietary Assessment among Individuals Using Insulin. Nutrients. 15 |
He J, Lin L, Eicher-Miller HA, et al. (2023) Long-Tailed Food Classification. Nutrients. 15 |
Lin L, Zhu F, Delp EJ, et al. (2022) Differences in Dietary Intake Exist among U.S. Adults by Diabetic Status Using NHANES 2009-2016. Nutrients. 14 |
Fialkowski MK, Kai J, Young C, et al. (2022) An Active Image-Based Mobile Food Record Is Feasible for Capturing Eating Occasions among Infants Ages 3-12 Months Old in Hawai'i. Nutrients. 14 |
Whitton C, Healy JD, Collins CE, et al. (2021) Accuracy and Cost-effectiveness of Technology-Assisted Dietary Assessment Comparing the Automated Self-administered Dietary Assessment Tool, Intake24, and an Image-Assisted Mobile Food Record 24-Hour Recall Relative to Observed Intake: Protocol for a Randomized Crossover Feeding Study. Jmir Research Protocols. 10: e32891 |
Qin Y, Aqeel M, Zhu F, et al. (2021) Dietary Aspects to Incorporate in the Creation of a Mobile Image-Based Dietary Assessment Tool to Manage and Improve Diabetes. Nutrients. 13 |
Halse RE, Shoneye CL, Pollard CM, et al. (2020) Correction: Improving Nutrition and Activity Behaviors Using Digital Technology and Tailored Feedback: Protocol for the Tailored Diet and Activity (ToDAy) Randomized Controlled Trial. Jmir Research Protocols. 9: e25940 |
Campbell S, Chen JJ, Boushey CJ, et al. (2020) Food Security and Diet Quality in Native Hawaiian, Pacific Islander, and Filipino Infants 3 to 12 Months of Age. Nutrients. 12 |