Cited by

CGMacros: a scientific dataset for personalized nutrition and diet monitoring (v1.0.0)

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8 publications cite any version of this project, newest first.

• Measurement Reliability Confounds Cross-Regime Comparisons of Postprandial Glucose Prediction: Evidence from Bidirectional Cross-Cohort Transfer
  Yulin Zhao. Research Square, 2026.
• Auditing CGMacros: Interpolated Glucose Series Leak the Future, and a Leak-Free Participant-Held-Out Benchmark for Glucose Forecasting
  Pulak Saha. Zenodo (CERN European Organization for Nuclear Research), 2026.
• From meal text to carbohydrate to postprandial glucose rise: QLoRA fine-tuning of the Qwen3-4B language model and gradient-boosting prediction in type 2 diabetes
  Mohamed Nour Bou Ali, Najoua Lassoued, Bilel Ben Amor et al. medRxiv, 2026.
• Deep learning for blood glucose prediction: Reproducibility challenges and factors affecting differential performance
  Baiying Lu, Biratal Wagle, Liang Zhaohui et al. PLOS Digital Health, 2026.
• Inferential Validity of Digital Health Measures
  Carmen D. Tekwe, Mercy Oladuti, Yuanyuan Luan et al. arXiv (Cornell University), 2026.
• INSIGHT: Ingest and Standardize Glucose Harmonization Tool
  Ben Ehlert, Krish Shah -, Dev Katarya et al. Journal of Diabetes Science and Technology, 2026.
• A Wavelet AI Algorithm to Automatically Identify Postprandial Glucose Responses From Continuous Glucose Monitoring Profiles in People Without Diabetes
  Wansang Lim, Yingchao Zhong, Joanne Bruno et al. Journal of Diabetes Science and Technology, 2026.
• A multimodal physiological dataset for non-invasive blood glucose estimation
  Waris Quamer, Mu-Ruei Tseng, Kathan Vyas et al. Scientific Data, 2025.

Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.