Y. Qin, M. M. Aqeel, F. Zhu, E. J. Delp, H. A. Eicher-Miller. Dietary Aspects to Incorporate in the Creation of a Mobile Image-Based Dietary Assessment Tool to Manage and Improve Diabetes. Nutrients 2021;13 DOI: 10.3390/nu13041179
L. Luo, F. Zhu, E. J. Delp, H. A. Eicher-Miller. The Most Frequently Consumed and the Largest Energy Contributing Foods of U.S. Insulin Takers Using NHANES 2009-2016. Current Developments in Nutrition 2021;426 DOI: 10.1093/cdn/nzab038_038
S. K. Yarlagadda, D. M. Montserrat, D. Güera, C.J. Boushey, D. A. Kerr, F. Zhu, Saliency-Aware Class-Agnostic Food Image Segmentation, ACM Transactions on Computing for Healthcare, 2021;2:1-17, DOI:10.1145/3440274
S. Fang, Z. Shao, D.A. Kerr, C.J. Boushey, F. Zhu, An End-to-End Image-Based Automatic Food Energy Estimation Technique Based on Learned Energy Distribution Images: Protocol and Methodology, Nutrients, vol. 11, no. 4, pp. 877, Apr 2019, DOI:10.3390/nu11040877, PMID: 31003547
Y. Wang, Y. He, C.J. Boushey, F. Zhu, E.J. Delp, Context based image analysis with application in dietary assessment and evaluation.Multimedia Tools and Applications, November 2017, pp. 1-26. DOI: 10.1007/s11042-017-5346-x
S. Kelkar, C. J. Boushey, M. Okos, A method to determine the density of foods using X-ray imaging. Journal of Food Engineering 2015;159:36-41.DOI: 10.1016/j.jfoodeng.2015.03.012 PMID: 25848138 PMCID: PMC4384159
F. Zhu, M. Bosch, N. Khanna, C. J. Boushey, and E. J. Delp, Multiple Hypotheses Image Segmentation and Classification with Application to Dietary Assessment,IEEE Journal of Biomedical and Health Informatics, vol. 19, no. 1, pp. 377-388, Februry 2014. PMID: 25561457, DOI: 10.1109/JBHI.2014.2304925(pdf)
C.D. Lee, J. Chae, T.E. Schap, D.A. Kerr, E.J. Delp, D.S. Ebert, and C.J. Boushey, Comparison of known food weights with image-based portion-size automated estimation and adolescents' self-reported portion size,Journal of Diabetes Science and Technology, vol. 6, no. 2, pp. 428-434, March 2012. PubMed PMID: 22538157, PubMed Central PMCID: PMC3380789. DOI: 10.1177/193229681200600231(pdf)
S. Kelkar, S. Stella, C. Boushey, and M. Okos, Developing novel 3D measurements techniques and prediction method for food density determination,Procedia Food Science 2011, vol. 1, pp. 483-491, 2011. DOI: 10.1016/j.profoo.2011.09.074(pdf)
F. Zhu, M. Bosch, I. Woo, S. Kim, C. J. Boushey, D. S. Ebert, and E. J. Delp, The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation,IEEE Journal of Selected Topics in Signal Processing, vol. 4, no. 4, pp. 756 - 766, August 2010. PubMed PMID: 20862266, PubMed Central PMCID: PMC2941896. DOI: 10.1109/JSTSP.2010.2051471(pdf)
J. He, F. Zhu, Online Continual Learning Via Candidates Voting, Proceedings of IEEE Winter Conference on Applications of Computer Vision , January 2022. DOI: 10.1109/WACV51458.2022.00136
J. He, F. Zhu, Online Continual Learning For Visual Food Classification, Proceedings of IEEE International Conference on Computer Vision Workshops , October 2021. DOI: 10.1109/ICCVW54120.2021.00265
Z. Shao, S. Fang, R. Mao, J. He, J. L. Wright, D. A. Kerr, C. J. Boushey, F. Zhu, Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation, Proceedings of IEEE 23rd International Workshop on Multimedia Signal Processing, October 2021. DOI: 10.1109/MMSP53017.2021.9733557
R. Mao, J. He, L. Lin, Z. Shao, H. A. Eicher-Miller, F. Zhu, Improving Dietary Assessment Via Integrated Hierarchy Food Classification, Proceedings of IEEE 23rd International Workshop on Multimedia Signal Processing, October 2021. DOI: 10.1109/MMSP53017.2021.9733586
Z. Shao, Y. Han, J. He, R. Mao, J. L. Wright, D. A. Kerr, C. J. Boushey, F. Zhu, An Integrated System for Mobile Image-Based Dietary Assessment, Proceedings of ACM Multimedia Conference, Workshop, October 2021. DOI: 10.1145/3475725.3483625
R. Mao, J. He, Z. Shao, S.K. Yarlagadda, F. Zhu, Visual Aware Hierarchy Based Food Recognition, Proceedings of International Conference of Pattern Recognition Workshop, February 2021. DOI: 10.1007/978-3-030-68821-9_47
J. He, R. Mao, Z. Shao, J. Wright, D. A. Kerr, C. J. Boushey, F. Zhu, An End-to-End Food Image Analysis System, Electronic Imaging, January 2021. DOI: 10.2352/ISSN.2470-1173.2021.8.IMAWM-285
Y. Han, S. K. Yarlagadda, T. Ghost, F. Zhu, E. Sazonov, E. J. Delp. Improving Food Detection For Images From a Wearable Egocentric Camera, Electronic Imaging, January 2021. DOI: 10.2352/ISSN.2470-1173.2021.8.IMAWM-286
J. He, Z. Shao, J. Wright, D. A. Kerr, C. J. Boushey, F. Zhu. Multi-Task Image-Based Dietary Assessment for Food Recognition and Portion Size Estimation, Proceedings of IEEE International Conference on Multimedia Information Processing and Retrieval, Shenzhen, China, August 2020. (invited paper). DOI: 10.1109/MIPR49039.2020.00018
J. He, R. Mao, Z, Shao, F. Zhu, Incremental Learning In Online Scenario, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, June 2020. DOI: 10.1109/CVPR42600.2020.01394
S. Yarlagadda, S. Baireddy, D. Güera, C. J. Boushey, D. A. Kerr, F. Zhu, Learning Eating Environments Through Scene Clustering, Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, May 2020.DOI: 10.1109/ICASSP40776.2020.9054402
Z. Shao, R. Mao, F. Zhu, Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation, IEEE BigData Workshop on Big Food and Nutrition Data Management and Analysis, Los Angeles, USA, Dec 2019.DOI: 10.1109/BigData47090.2019.9006165
S. Fang, C. Liu, K. Tahboub, F. Zhu, C. Boushey and E. Delp. cTADA: The Design of a Crowdsourcing Tool for Online Food Image Identification and Segmentation, IEEE Southwest Symposium on Image Analysis and Interpretation, to appear, April, 2018, Las Vegas, NV. (pdf)
S. Fang, Z. Shao, R. Mao, C. Fu, D. A. Kerr, C. J. Boushey, E. J. Delp, F. Zhu, Single-View Food Portion Estimation: Learning Image-to-Energy Mappings Using Generative Adversarial Networks, Proceedings of the IEEE International Conference on Image Processing, October, 2018, Athens, Greece. DOI: 10.1109/ICIP.2018.8451461
S. Fang, F. Zhu, C, J. Boushey, E. J. Delp. The use of co-occurrence patterns in single image based food portion estimation, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 462-466, November, 2017, Montreal, QC, Canada. DOI: 10.1109/GlobalSIP.2017.8308685
Y. Wang, F. Zhu, C. J. Boushey, E. J. Delp. Weakly supervised food image segmentation using class activation maps, Proceedings of the IEEE International Conference on Image Processing, pp. 53-62, September, 2017, Beijing, China. DOI: 10.1109/ICIP.2017.8296487
Z. Ahmad,M. Bosch,N. Khanna,D. A. Kerr, C. J. Boushey, F. Zhu, E. J. Delp. A mobile food record for integrated dietary assessment MADiMa 2016 - Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management, co-located with ACM Multimedia 2016, 2016:53-62. DOI: 10.1145/2986035.2986038
Y. Wang, S. Fang, C. Liu, F. Zhu, D. Kerr, C. Boushey, E. Delp. Food image analysis: The big data problem you can eat!, Proceedings of the Asilomar Conference on Signals, Systems and Computers, pp. 1263-1267, November 2016, Pacific Grove, CA. DOI: 10.1109/ACSSC.2016.7869576(pdf)
Y. Wang, C. Liu, F. Zhu, C. Boushey, E. Delp. Efficient superpixel based segmentation for food image analysis, Proceedings of the IEEE International Conference on Image Processing, pp. 2544-2548, September 2016, Phoenix, AZ. DOI: 10.1109/ICIP.2016.7532818(pdf)
S. Fang, F. Zhu, C. Jiang, C.Song, C.Boushey, E. Delp. A comparison of food portion size estimation using geometric models and depth images Proceedings of the IEEE International Conference on Image Processing, pp. 26-30, September 2016, Phoenix, AZ. DOI: 10.1109/ICIP.2016.7532312(pdf)
S. Fang, C. Liu, F. Zhu, C. Boushey, E. Delp. Single-View Food Portion Estimation Based on Geometric Models, IEEE International Symposium on Multimedia, pp. 385-390, December 2015, Miami, FL. DOI: 10.1109/ISM.2015.67(pdf)
S. Fang, C. Liu, F. Zhu, C. Boushey, E. Delp. A Printer Indexing
System for Color Calibration with Applications in Dietary Assessment, New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops,
Lecture Notes in Computer Science, Vol. 9281, Springer International, pp. 358-365, 2015. DOI: 10.1007/978-3-319-23222-5_44 (pdf)
Y. Wang, Y. He, F. Zhu, C. Boushey, E. Delp. The Use of Temporal
Information in Food Image Analysis,New Trends in Image Analysis and
Processing -- ICIAP 2015 Workshops, Lecture Notes in Computer Science,
Vol. 9281, Springer International, pp. 317-325, 2015. DOI: 10.1007/978-3-319-23222-5_39 (pdf)
Y. Wang, C. Xu, C. Boushey, F. Zhu, and E. J. Delp. Mobile image based color correction using deblurring.Proceedings of the IS&T/SPIE Conference on Computational Imaging, pp. 940107-940107, February 2015, San Francisco, CA. DOI: 10.1117/12.2083133 (pdf)
Y. He, C Xu, N. Khanna, C. J. Boushey, and E. J. Delp, Analysis of food images: features and classification,Proceedings of the IEEE International Conference on Image Processing, pp. 2744-2748, October 2014, Paris, France. DOI: 10.1109/ICIP.2014.7025555
Z. Ahmad, N. Khanna, D. A. Kerr, C. Boushey, and E. Delp, “A Mobile Phone User Interface for Image-Based Dietary Assessment,” Proceedings of the IS&T/SPIE Conference on Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications, pp. 903007-903007-9, February 2014, San Francisco, CA. DOI:10.1117/12.2041334
Y. He,N. Khanna,C. J. Boushey,E. J. Delp. Image segmentation for image-based dietary assessment: A comparative studyISSCS 2013 - International Symposium on Signals, Circuits and Systems, 2013. DOI: :10.1109/ISSCS.2013.6651268
C. Xu, Y. He, A. Parra Pozo, N. Khanna, C. Boushey, and E. Delp, Image-Based Food Volume Estimation,Proceedings of the ACM International Workshop on Multimedia for cooking & eating activities, pp. 75-80, October 2013, Barcelona, Spain. DOI: 10.1145/2506023.2506037
C. Xu, Y. He, N. Khanna, C. Boushey, and E. Delp, Model-based food volume estimation using 3D pose,Proceedings the of IEEE International Conference on Image Processing, pp. 2534-2538, September 2013, Melbourne, Australia. DOI: 10.1109/ICIP.2013.6738522(pdf)
Y. He, C. Xu, N. Khanna, C. Boushey, and E. Delp, Context based food image analysis,Proceedings of the IEEE International Conference on Image Processing, pp. 2748-2752, September 2013, Melbourne, Australia. DOI: 10.1109/ICIP.2013.6738566(pdf)
Y. He, C. Xu, N. Khanna, C. Boushey, and E. Delp, Food image analysis: Segmentation, identification and
weight estimation,Proceedings of the IEEE International Conference on Multimedia and Expo, pp. 1-6, July 2013, San Jose, CA. DOI: 10.1109/ICME.2013.6607548 (pdf)
Md.H. Rahman, Q. Li, M. Pickering, M. Frater, D. Kerr, C.J. Bouchey, and E.J. Delp. Food volume estimation in a mobile phone based dietary assessment system.Proceedings of the Eighth IEEE International Conference on Signal Image Technology and Internet Based Systems, pp. 988-995, November 2012, Naples, Italy. DOI: SITIS.2012.146 (pdf)
Y. He, N. Khanna, C.J. Boushey, and E.J. Delp, Snakes assisted food image segmentation,Proceedings of the 2012 IEEE 14th International Workshop on Multimedia Signal Processing, September 2012, pp. 181-185, Banff, Canada. DOI: 10.1109/MMSP.2012.6343437(pdf)
Md.H. Rahmana, M.R. Pickering, D. Kerr, C.J. Boushey, and E.J. Delp, A new texture feature for improved food recognition accuracy in a mobile phone based dietary assessment system,Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, pp. 418-423, July 2012, Melbourne, Australia. DOI: 10.1109/ICMEW.2012.79 (pdf)
Y. He, N. Khanna, C.J. Boushey, and E.J. Delp, Specular highlight removal for image-based dietary assessment,Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, Melbourne, Australia, July 2012, pp. 424-428. DOI: 10.1109/ICMEW.2012.80 (pdf)
C. Xu, F. Zhu, N. Khanna, C.J. Boushey, and E.J. Delp, Image Enhancement and Quality Measures for Dietary Assessment Using Mobile Devices,Proceedings of the IS&T/SPIE Conference on Computational Imaging X, vol. 8296, pp. 82 960Q–1–10, January 2012, San Francisco, CA. DOI: 10.1117/12.909949(pdf)
C. Xu, N. Khanna, C.J. Boushey, and E.J. Delp, Low Complexity Image Quality Measures for Dietary Assessment Using Mobile Devices,The IEEE International Symposium on Multimedia, pp. 351–356, December 2011, Dana Point, CA. DOI: 10.1109/ISM.2011.64(pdf)
F. Zhu, M. Bosch, N. Khanna, C.J. Boushey, and E.J. Delp, Multilevel Segmentation for Food Classification in Dietary Assessment,Proceedings of 7th International Symposium on Image and Signal Processing and Analysis, pp. 337-342, September 2011, Dubrovnik, Croatia. PubMed PMID: 22127051; PubMed Central PMCID: PMC3224861. (pdf)
M. Bosch, F. Zhu, N. Khanna, C.J. Boushey, and E.J. Delp, Combining Global and Local Features for Food Identification and Dietary Assessment,Proceedings of the International Conference on Image Processing,pp. 1789-1792, September 2011, Brussels, Belgium. DOI: 10.1109/ICIP.2011.6115809(pdf)
M. Bosch, F. Zhu, N. Khanna, C.J. Boushey, and E.J. Delp, Food Texture Descriptors Based on Fractal and Local Gradient Information,Proceedings of the 19th European Signal Processing Conference pp. 764-768, September 2011, Barcelona, Spain. (pdf)
M. Bosch, T.E. Schap, N. Khanna, F. Zhu, C.J. Boushey, and E.J. Delp, Integrated Databases System for Mobile Dietary Assessment and Analysis,Proceedings of the 1st IEEE International Workshop on Multimedia Services and Technologies for E-health in conjunction with the International Conference on Multimedia and Expo, pp. 1-6, July 2011, Barcelona, Spain. DOI: 10.1109/ICME.2011.6012202(pdf)
F. Zhu, M. Bosch, T.E. Schap, N. Khanna, D.S. Ebert, C.J. Boushey, and E.J. Delp, Segmentation Assisted Food Classification for Dietary Assessment,Proceedings of the IS&T/SPIE Conference on Computational Imaging IX, Vol. 7873, pp. 1-8, January 2011, San Francisco, CA. DOI: 10.1117/12.877036. PubMed PMID: 22128304; PubMed Central PMCID: PMC3224860. (pdf)
J. Chae, I. Woo, S. Kim, R. Maciejewski, F. Zhu, E.J. Delp, C.J. Boushey, and D.S. Ebert, Volume Estimation Using Food Specific Shape Templates in Mobile Image-Based Dietary Assessment,Proceedings of the IS&T/SPIE Conference on Computational Imaging IX, Vol. 7873, pp. 1-8, January 2011, San Francisco, CA. DOI: 10.1117/12.876669 PubMed PMID: 22025936; PubMed Central PMCID: PMC3198859. (pdf)
N. Khanna, C. J. Boushey, D. Kerr, M. Okos, D.S. Ebert, and E.J. Delp, An Overview of the Technology Assisted Dietary Assessment Project at Purdue University, Proceedings of the IEEE International Symposium on Multimedia, Taichung, Taiwan, December 2010. DOI: 10.1109/ISM.2010.50 PubMed PMID: 22020443; PubMed Central PMCID: PMC3183748 (pdf)
S. Kim, T. Schap, M. Bosch, R. Maxiejewski, E.J. Delp, D.S. Ebert, and C.J. Boushey, Development of a Mobile User Interface for Image-based Dietary Assessment, Proceedings of the IEEE 9th International Conference on Mobile and Ubiquitous Multimedia, pp. 13-20, December 2010, Limassol, Cyprus. DOI: 10.1145/1899475.1899488 PubMed PMID: 24455755; PubMed Central PMCID: PMC3893687. (pdf)
F. Zhu, M. Bosch, C.J. Boushey, E.J. Delp. An Image Analysis System for Dietary Assessment and Evaluation,Proceedings of the IEEE International Conference on Image Processing, pp. 1853-1856, September, 2010, Hong Kong. DOI: 10.1109/ICIP.2010.5650848 PubMed PMID:22025261; PubMed Central PMCID: PMC3198857. (pdf)
I. Woo, K. Otsmo, S. Kim, D.S. Ebert, E.J. Delp III, and C.J. Boushey. Automatic portion estimation and visual refinement in mobile dietary assessment,Electrical Imaging science and technology, Computational Image VIII, Vo. 7533, pp. 1-10, January 2010, San Jose, CA. DOI: 10.1117/12.849051 PubMed PMID: 22242198; PubMed Central PMCID: PMC3254118. (pdf)
A. Mariappan, M. Bosch, F. Zhu, C.J. Boushey, D.A. Kerr, D.S. Ebert, and E.J. Delp III, Personal Dietary Assessment Using Mobile Devices, Proceedings of the IS&T/SPIE Conference on Computational Imaging VII, Vol. 7246, pp. 1-12, January 2009, San Jose, CA. DOI: 10.1117/12.813556 PubMed PMID: 21660219; PubMed Central PMCID: PMC3109913. (pdf)
F. Zhu, A. Mariappan, C.J. Boushey, D.A. Kerr, K. Lutes, D.S. Ebert, and E.J. Delp, Technology-Assisted Dietary Assessment, Proceedings of the IS&T/SPIE Conference on Computational Imaging VI, Vol. 6814, pp. 1-10, January 2008, San Jose, CA. DOI: 10.1117/12.778616 PubMed PMID: 22128303; PubMed Central PMCID: PMC3224859. (pdf)
Dietary Study Using mFR
M. K. Fialkowski, J. Kai, C. Young, G. Langfelder, J. Ng-Osorio, Z. Shao, F. Zhu, D. A. Kerr, C. J. Boushey. An Active Image-Based Mobile Food Record Is Feasible for Capturing Eating Occasions among Infants Ages 3-12 Months Old in Hawai'i, Nutrients 2022;14(5):1075, DOI:10.3390/nu14051075, PMID: 35268049, PMCID: PMC8912647
K. M. Yonemori, L. Zuccarelli, L. L. Marchand, F. Zhu, D. A. Kerr, C. J. Boushey. Temporal patterns of eating by mode of data collection from the baseline dietary intakes of participants in the Healthy Diet and Lifestyle Study, Journal of Food Composition and Analysis 2022;107(1):104296, DOI:10.1016/j.jfca.2021.104296
J. Banna, K. Danible, C. Panizza, D. A. Kerr, C. J. Boushey, F. Zhu. A Novel to Method to Measure Food Waste: The Mobile Food Record. Journal of Extension 2021, DOI:10.34068/joe.59.03.01
H. O'Reilly, C. Panizza, U. Lim, K. M. Yonemori, L. R. Wilkens, Y. B. Shvetsov, M. N. Harvie, J. Shepherd, F. Zhu, L. L. Marchand, C. J. Boushey, K. Cassel. Utility of self-rated adherence for monitoring dietary and physical activity compliance and assessment of participant feedback of the Healthy Diet and Lifestyle Study pilot, Pilot and Feasibility Studies 2021;7(1), DOI:10.1186/s40814-021-00786-3
C. Whitton, J. D. Healy, C. E. Collins, B. Mullan, M. E. Rollo, S. S. Dhaliwal, R. Norman, C. J. Boushey, E. J. Delp, F. Zhu, T. A. McCaffrey, S. I. Kirkpatrick, P. Atyeo, S. A. Mukhtar, J. L. Wright, C. Ramos-García, C. M. Pollard, D. A. Kerr. 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 2021;12(10), DOI:10.2196/32891, , PMID: 34924357, PMCID: PMC8726032
S. Campbell, J. J. Chen, C. J. Boushey, H. A. Eicher-Miller, F. Zhu, M. K. Fialkowski. Food Security and Diet Quality in Native Hawaiian, Pacific Islander, and Filipino Infants 3 to 12 Months of Age. Nutrients 2020;12(7), DOI:10.3390/nu12072120, , PMID: 32708904, PMCID: PMC7400901
M.K. Fialkowski, J. Ng-Osorio, J. Kai, K. Swafford, G. Langfelder, C.G. Young, J.J. Chen, F. Zhu, C.J. Boushey. Type, Timing and Diversity of Complementary Foods Among Native Hawaiian, Pacific Islander and Filipino Infants, Hawai’I Journal of Health & Social Welfare, vol. 29, no. 5, May 2020, PMID: 32490400, PMCID: PMC7260875
C. L. Shoneye, S. S. Dhaliwal, C. M. Pollard, C. J. Boushey, E. J. Delp, A. J. Harray, P. A. Howat, M. Hutchesson, M. E. Rollor, F. Zhu, J. L. Wright, I. S. Pratt, J. Jancey, R. Halse, J. A. Scott, B. Mullan, C. E. Collins, D. A. Kerr. Image-based dietary assessment and tailored feedback using mobile technology: mediating behavior change in young adults, Nutrients, vol. 11, no. 2, pp. 435, Feb 2019, DOI:10.3390/nu11020435, PMID: 30791502, PMCID: PMC6412987
R. Halse, C. Shoneye, C. M. Pollard, J. Jancey, J. A. Scott, I. Pratt, S. Dhaliwal, R. Norman, L. Straker, C. J. Boushey, E. J. Delp, F. Zhu, A. Haray, M. Syzbiak, A. Finch, J. McVeigh, B. Mullan, C. E. Collins, A. Mukhtar, K. Edwards, J. Healy, D. A. Kerr. Improving Nutrition and Activity Behavior using Digital Technology and Tailored Feedback in the LiveLighter Tailored Online Diet Activity (TODAY) Study: Protocol for a Randomized Controlled Trial, Journal of Medical Internet Research Protocols, vol. 8, no. 2, pp. e12782, Feb 2019, DOI:10.2196/12782, PMID: 30801257, PMCID: PMC6409509
A. J Harray, C. J Boushey, C. M. Pollard, C. Panizza, E. J. Delp, S. S. Dhaliwal, D. A. Kerr. Perception versus actual intake of junk food and sugar-sweetened beverages in Australian young adults: assessed using the mobile food record. Public Health Nutrition (accepted 15/3/17). DOI:10.1017/S1368980017000702, PMID: 28578736
K. A. Wagner, E. Braun, S. M. Armah, D. Horan, L. G. Smith, J. Pike, W. Tu, M. T. Hamilton, E. J. Delp, W. W. Campbell, C. J. Boushey, T. S. Hannon, N. Gletsu-Miller Dietary Intervention for Glucose Tolerance In Teens (DIG IT): Protocol of a randomized controlled trial using health coaching to prevent youth-onset type 2 diabetes, Contemporary Clinical Trials, 2017;53:171-177 , DOI:10.1016/j.cct.2016.12.018, PMID: 28011388, PMCID: PMC5322725
V. A. Solah, D. A. Kerr, W. J. Hunt, S. K. Johnson, C. J. Boushey, E. J. Delp, X. Meng, R. J. Gahler, A. P. James, A. S. Mukhtar, H. K. Fenton, S. Wood. Effect of fibre supplementation on body weight and composition, frequency of eating and dietary choice in overweight individuals.Nutrients 2017;9, DOI: 10.3390/nu9040409
C. E. Panizza, C. J. Boushey, E. J. Delp, D. A. Kerr, E. Lim, K. Gandhi, J. C. Banna. Characterizing early adolescent plate waste using the mobile food record. ,Nutrients 2017;9, DOI: 10.3390/nu9020093
D. A. Kerr, S. S. Dhaliwal, C. M. Pollard, R. Norman, J. L. Wright, A. J. Harray, C. L. Shoneye, V. A. Solah, W. J. Hunt, F. Zhu, E. J. Delp, C. J. Boushey. BMI is associated with the willingness to record diet with a mobile food record among adults participating in dietary interventions. Nutrients 2017;9 DOI: 10.3390/nu9030244.
E. Howes,C. J. Boushey, D. A. Kerr, E. J. Tomayko, M. Cluskey. Image-based dietary assessment ability of dietetics students and interns. Nutrients 2017;9. DOI: 10.3390/nu9020114
C. J. Boushey, M. Spoden, E. J. Delp, F. Zhu, M. Bosch, Z. Ahmad, Y. B. Shvetsov, J. P. DeLany, D. A. Kerr. Reported energy intake accuracy compared to doubly labeled water and usability of the mobile food record among community dwelling adults.Nutrients 2017;9. DOI: 10.3390/nu9030312
K. E. Bathgate, J. L. Sherriff, H. Leonard H, S. S. Dhaliwal, E. J. Delp, C. J. Boushey,D. A. AKerr. Feasibility of assessing diet with a mobile food record for adolescents and young adults with down syndrome.Nutrients 2017,9 DOI: 10.3390/nu9030273
D. A. Kerr, A. J. Harray, C. M. Pollard, S. S. Dhaliwal, E. J. Delp, P. A. Howat, M. R. Pickering, Z. Ahmad, X. Meng X, I. S. Pratt, J. L. Wright, K. R. Kerr, C. J. Boushey. The connecting health and technology study: A 6-month randomized controlled trial to improve nutrition behaviours using a mobile food record and text messaging support in young adults. International Journal of Behavioral Nutrition and Physical Activity 2016;13. DOI: 10.1186/s12966-016-0376-8 ,PMID: 27098449, PMCID: PMC4839101
L. M. Grattan, C. Boushey, K. Tracy, V. L. Trainer, S. M. Roberts, N. Schluterman, J. G. Morris. The association between razor clam consumption and memory in the CoASTAL cohort. Harmful Algae 2016;57:20-25. DOI: 10.1016/j.hal.2016.03.011 PMCID: PMC5061506
C. J. Boushey, M. Spoden, F. M. Zhu, E. J. Delp, D. A. Kerr. New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods.Proceedings of the Nutrition Society 2016:1-12. DOI: 10.1017/S0029665116002913 PMID: 27938425
C. J Boushey, E. J. Delp, Z. Ahmad, Y. Wang, S. M. Roberts, L. M. Grattan. Dietary assessment of domoic acid exposure: What can be learned from traditional methods and new applications for a technology assisted device.Harmful Algae 2016;57:51-55. DOI: 10.1016/j.hal.2016.03.013 PMID: 27616975 PMCID: PMC5015767
A. F. Subar, L. S. Freedman, J. A. Tooze, S. I. Kirkpatrick, C. Boushey, M. L. Neuhouser, F. E. Thompson, N. Potischman, P. M. Guenther, V. Tarasuk, J. Reedy J, S. M. Krebs-Smith. Addressing current criticism regarding the value of self-report dietary data.Journal of Nutrition 2015;145:2639-2645, DOI: 10.3945/jn.115.219634 PMID: 26468491 PMCID: PMC4656907
C. Boushey, A. Harray, D. Kerr, TE. Schap, S. Paterson, T. Aflague, R. Bosch, Z. Ahmad, E. Delp, How Willing Are Adolescents to Record Their Dietary Intake? The Mobile Food Record, JMIR mHealth uHealth, vol. 3, no. 2, pp. e47, 2015. DOI: 10.2196/mhealth.4087 PMID: 26024996 PMCID: PMC4464313
A. Harray, C. Boushey, C. Pollard, E. Delp, Z. Ahmad, S. Dhaliwal, S. Mukhtar, D. Kerr, "A Novel Dietary Assessment Method to Measure a Healthy and Sustainable Diet Using the Mobile Food Record: Protocol and Methodology."Nutrients 7, vol. 7, no. 7, pp. 5375-5395, 2015. DOI: 10.3390/nu7075226
T. F. Aflague, C.J. Boushey, R.T.L Guerrero, Z. Ahmad, D.A. Kerr, E.J. Delp," Feasibility and Use of the Mobile Food Record for Capturing Eating Occasions among Children Ages 3–10 Years in Guam." Nutrients 2015, vol. 7, no. 6, pp. 4403-4415, 2015. DOI: 10.3390/nu7064403(pdf)
T.E. Schap, F. Zhu, E.J. Delp, and C.J. Boushey. "Merging dietary assessment with the adolescent lifestyle."Journal of Human Nutrition and Dietetics vol. 27, no. s1, pp. 82-88, Januray 2014. PMID: 23489518 PMCID: PMC3688702 DOI: 10.1111/jhn.12071 (pdf)
K. W. Cullen,D. Thompson,C. J. Boushey, K. Konzelmann, T. A. Chen. Evaluation of a web-based program promoting healthy eating and physical activity for adolescents: Teen Choice: Food and Fitness. Health Education Research 2013;28:704-714. DOI: 10.1093/her/cyt059
D.A. Kerr, C.M. Pollard, P. Howat, E.J. Delp, M. Pickering, K.R. Kerr, S.S. Dhaliwal, I.S. Pratt, J. Wright, and C.J. Boushey, "Connecting Health and Technology (CHAT): protocol of a randomized controlled trial to improve nutrition behaviours using mobile devices and tailored text messaging in young adults," BMC Public Health, 12:477, June 2012. PubMed PMID: 22726532, PubMed Central PMCID: PMC3438105. DOI: 10.1186/1471-2458-12-477(pdf)
M.R. Okos and C.J. Boushey, "Density standards meeting organized by purdue university: A report," International Journal of Food Properties , vol. 15, no. 2, pp. 467-470, March 2012. DOI: 10.1080/10942912.2012.654599(pdf)
C.J. Boushey, D.A. Kerr, T.E. Schap, and B.L. Daugherty, "Importance of user interaction with automated dietary assessment methods," European Journal of Clinical Nutrition, February 2012; 66(5):648. PubMed PMID: 223338
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B. L. Daugherty, T. E. Schap, R. Ettienne-Gittens, F. Zhu, M. Bosch, E. J. Delp, D. S. Ebert, D. A. Kerr, and C. J. Boushey, "Novel Technologies for Assessing Dietary Intake: Evaluating the Usability of a Mobile Telephone Food Record among Adults and Adolescents," Journal of Medical Internet Research, vol. 14, no. 12, pp.e58, April 2012. PubMed PMID: 22504018, PubMed Central PMCID: PMC3376510. DOI: 10.2196/jmir.1967(pdf)
B.L. Six, T.E. Schap, D.A. Kerr, and Boushey CJ, "Evaluation of the Food and Nutrient Database for Dietary Studies for use with a mobile telephone food record," Journal of Food Composition and Analysis, vol. 24, no. 8, pp. 1160-1167, December 2011. PubMed PMID: 22389554, PubMed Central PMCID: PMC3289151. DOI: 10.1016/j.jfca.2011.06.006(pdf)
T.E. Schap, B.L. Six, E.J. Delp, D.S. Ebert, D.A. Kerr, and C.J. Boushey, "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 portions," Public Health Nutrition, vol. 14, no. 07, pp 1184-1191, July 2011. PubMed PMID: 21324224, PubMed Central PMCID: PMC3114201. DOI: 10.1017/S1368980010003794(pdf)
T.E.Schap, B.L. Six, D.A. Kerr, E.J. Delp, D.S. Ebert, and C.J. Boushey. "Use of the mobile telephone Food Record (mpFR) does not mitigate reduced dietary intake in adolescents." The FASEB Journal vol.24, no. 1_MeetingAbstracts, pp. lb329, April 2010
B.L. Six, T.E. Schap, F. Zhu, A. Mariappan, M. Bosch, E.J. Delp, D.S. Ebert, D.A. Kerr, and C.J. Boushey, "Evidence-Based Development of a Mobile Telephone Food Record", Journal of the American Dietetic Association, vol. 110, no. 1, pp. 74-79, January 2010. PubMed PMID: 20102830, PubMed Central PMCID: PMC3042797. DOI: 10.1016/j.jada.2009.10.010(pdf)
C.J. Boushey, D.A. Kerr, J. Wright, K.D. Lutes, D.S. Ebert, and E.J. Delp, "Use of technology in children's dietary assessment", European Journal of Clinical Nutrition, 63(Suppl 1):S50-S57, February 2009. PubMed PMID: 19190645, PubMed Central PMCID: PMC2830089. DOI: 10.1038/ejcn.2008.65 (pdf)
Winter J., Boushey C.J., "Workshop 1: Use of technology in dietary assessment", European Journal of Clinical Nutrition, 63(Suppl 1):S75-S77, February 2009. PubMed PMID: 19190650, PubMed Central PMCID: PMC2831289. DOI: 10.1038/ejcn.2008.69(pdf)
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