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<div data-badge-type="2" data-doi="10.1101/706994" data-hide-no-mentions="true" data-hide-less-than="2" class="altmetric-embed" style="float:right;"></div> * **Miao C**, **Hoban TP**, **Pages A**, Xu Z, Rodene E, Ubbens J, Stavness I, Yang J, **Schnable JC** "[Simulated plant images improve maize leaf counting accuracy.](https://doi.org/10.1101/706994)" *bioRxiv* doi: 10.1101/706994
- Miao C, Pages A, Xu Z, Rodene E, Yang J, Schnable JC (2020) “Semantic segmentation of sorghum using hyperspectral data identifies genetic associations.” Plant Phenomics doi: 10.34133/2020/4216373
- Ge Y, Atefi A, Zhang H, Miao C, Ramamurthy RK, Sigmon B, Yang J, Schnable JC (2019) “High-throughput analysis of leaf physiological and chemical traits with VIS-NIR-SWIR spectroscopy: A case study with a maize diversity panel.” Plant Methods doi: 10.1186/s13007-019-0450-8
- Miao C, Fang J, Li D, Liang P, Zhang X, Yang J, Schnable JC, Tang H. (2018) “Genotype-Corrector: improved genotype calls for genetic mapping.” Scientific Reports doi: 10.1038/s41598-018-28294-0
- Liang Z, Gupta SK, Yeh CT, Zhang Y, Ngu DW, Kumar R, Patil HT, Mungra KD, Yadav DV, Rathore A, Srivastava RK, Gupkta R, Yang J, Varshney RK, Schnable PS, Schnable JC. (2018) “Phenotypic data from inbred parents can improve genomic prediction in pearl millet hybrids.” G3: Genes Genomes Genetics doi: 10.1534/g3.118.200242
- Miao C, Yang J, Schnable JC (2018) “Optimizing the identification of causal variants across varying genetic architectures in crops.” Plant Biotechnology Journal doi: 10.1111/pbi.13023 bioRxiv doi: 10.1101/310391