Scalable growth models for time‐series multispectral images von Anche, Mahlet T., Morales, Nicholas, Kaczmar, Nicholas S., Santantonio, Nicholas, Gore, Michael A., Robbins, Kelly R.

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Non-Invasive Detection of Nitrogen Deficiency in Cannabis sativa Using Hand-Held Raman Spectroscopy von Antoszewski, Graham, Guenther, James F., Roberts, John K., Adler, Mickal, Dalle Molle, Michael, Kaczmar, Nicholas S., Miller, William B., Mattson, Neil S., Grab, Heather

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Spatio-temporal modeling of high-throughput multispectral aerial images improves agronomic trait genomic prediction in hybrid maize von Morales, Nicolas, Anche, Mahlet T, Kaczmar, Nicholas S, Lepak, Nicholas, Ni, Pengzun, Romay, Maria Cinta, Santantonio, Nicholas, Buckler, Edward S, Gore, Michael A, Mueller, Lukas A, Robbins, Kelly R

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Temporal covariance structure of multi-spectral phenotypes and their predictive ability for end-of-season traits in maize von Anche, Mahlet T., Kaczmar, Nicholas S., Morales, Nicolas, Clohessy, James W., Ilut, Daniel C., Gore, Michael A., Robbins, Kelly R.

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ImageBreed: Open‐access plant breeding web–database for image‐based phenotyping von Morales, Nicolas, Kaczmar, Nicholas S., Santantonio, Nicholas, Gore, Michael A., Mueller, Lukas A., Robbins, Kelly R.

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Supplemental Material for Morales et al., 2024 von Morales, Nicolas, T. Anche, Mahlet, S. Kaczmar, Nicholas, Lepak, Nicholas, Ni, Pengzun, Romay, Maria Cinta, Santantonio, Nicholas, Buckler, Edward S., Gore, Michael A., A. Mueller, Lukas, Robbins, Kelly R.

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PINK1-Associated Parkinson's Disease Is Caused by Neuronal Vulnerability to Calcium-Induced Cell Death von Gandhi, Sonia, Wood-Kaczmar, Alison, Yao, Zhi, Plun-Favreau, Helene, Deas, Emma, Klupsch, Kristina, Downward, Julian, Latchman, David S., Tabrizi, Sarah J., Wood, Nicholas W., Duchen, Michael R., Abramov, Andrey Y.

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PINK1 is necessary for long term survival and mitochondrial function in human dopaminergic neurons von Wood-Kaczmar, Alison, Gandhi, Sonia, Yao, Zhi, Abramov, Andrey Y, Abramov, Andrey S Y, Miljan, Erik A, Keen, Gregory, Stanyer, Lee, Hargreaves, Iain, Klupsch, Kristina, Deas, Emma, Downward, Julian, Mansfield, Louise, Jat, Parmjit, Taylor, Joanne, Heales, Simon, Duchen, Michael R, Latchman, David, Tabrizi, Sarah J, Wood, Nicholas W

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Image set for deep learning: field images of maize annotated with disease symptoms von Wiesner-Hanks, Tyr, Stewart, Ethan L, Kaczmar, Nicholas, DeChant, Chad, Wu, Harvey, Nelson, Rebecca J, Lipson, Hod, Gore, Michael A

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Millimeter-Level Plant Disease Detection From Aerial Photographs via Deep Learning and Crowdsourced Data von Wiesner-Hanks, Tyr, Wu, Harvey, Stewart, Ethan, DeChant, Chad, Kaczmar, Nicholas, Lipson, Hod, Gore, Michael A, Nelson, Rebecca J

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Quantitative Phenotyping of Northern Leaf Blight in UAV Images Using Deep Learning von Stewart, Ethan L., Wiesner-Hanks, Tyr, Kaczmar, Nicholas, DeChant, Chad, Wu, Harvey, Lipson, Hod, Nelson, Rebecca J., Gore, Michael A.

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Programmed death 1 (PD‐1) and ligand (PD‐L1) inhibitors in head and neck squamous cell carcinoma: A meta‐analysis von Levy, Dylan A., Patel, Jaimin J., Nguyen, Shaun A., Nicholas Jungbauer, W., Neskey, David M., Cohen, Ezra E. W., Paulos, Chrystal M., Kaczmar, John A., Knochelmann, Hannah M., Day, Terry A.

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Structure‐function analysis of the maize bulliform cell cuticle and its potential role in dehydration and leaf rolling von Matschi, Susanne, Vasquez, Miguel F., Bourgault, Richard, Steinbach, Paul, Chamness, James, Kaczmar, Nicholas, Gore, Michael A., Molina, Isabel, Smith, Laurie G.

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Effects of Cold Temperature and Acclimation on Cold Tolerance and Cannabinoid Profiles of Cannabis sativa L. (Hemp) von Galic, Andrei, Grab, Heather, Kaczmar, Nicholas, Maser, Kady, Miller, William B., Smart, Lawrence B.

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Transcriptome‐wide association and prediction for carotenoids and tocochromanols in fresh sweet corn kernels von Hershberger, Jenna, Tanaka, Ryokei, Wood, Joshua C., Kaczmar, Nicholas, Wu, Di, Hamilton, John P., DellaPenna, Dean, Buell, C. Robin, Gore, Michael A.

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Genome‐Wide Association and Genomic Prediction Models of Tocochromanols in Fresh Sweet Corn Kernels von Baseggio, Matheus, Murray, Matthew, Magallanes‐Lundback, Maria, Kaczmar, Nicholas, Chamness, James, Buckler, Edward S., Smith, Margaret E., DellaPenna, Dean, Tracy, William F., Gore, Michael A.

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Genome-Wide Association Study for Maize Leaf Cuticular Conductance Identifies Candidate Genes Involved in the Regulation of Cuticle Development von Lin, Meng, Matschi, Susanne, Vasquez, Miguel, Chamness, James, Kaczmar, Nicholas, Baseggio, Matheus, Miller, Michael, Stewart, Ethan L., Qiao, Pengfei, Scanlon, Michael J., Molina, Isabel, Smith, Laurie G., Gore, Michael A.

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Genome-wide association study suggests an independent genetic basis of zinc and cadmium concentrations in fresh sweet corn kernels von Baseggio, Matheus, Murray, Matthew, Wu, Di, Ziegler, Gregory, Kaczmar, Nicholas, Chamness, James, Hamilton, John P., Buell, C. Robin, Vatamaniuk, Olena K., Buckler, Edward S., Smith, Margaret E., Baxter, Ivan, Tracy, William F., Gore, Michael A.

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Autonomous Detection of Plant Disease Symptoms Directly from Aerial Imagery von Wu, Harvey, Wiesner‐Hanks, Tyr, Stewart, Ethan L., DeChant, Chad, Kaczmar, Nicholas, Gore, Michael A., Nelson, Rebecca J., Lipson, Hod

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What Have PINK1 and HtrA2 Genes Told Us about the Role of Mitochondria in Parkinson's Disease? von Plun-Favreau, Helene, Gandhi, Sonia, Wood-Kaczmar, Alison, Deas, Emma, Yao, Zhi, Wood, Nicholas W.

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