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Machine Learning for High-Throughput Stress Phenotyping in Plants

Trends in plant science, 2016-02, Vol.21 (2), p.110-124

2016

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An explainable deep machine vision framework for plant stress phenotyping

Proceedings of the National Academy of Sciences - PNAS, 2018-05, Vol.115 (18), p.4613-4618

2018

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Plant disease identification using explainable 3D deep learning on hyperspectral images

Plant methods, 2019-08, Vol.15 (1), p.98-98, Article 98

2019

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Crop yield prediction integrating genotype and weather variables using deep learning

PloS one, 2021-06, Vol.16 (6), p.e0252402-e0252402

2021

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How do evaporating thin films evolve? Unravelling phase-separation mechanisms during solvent-based fabrication of polymer blends

Applied physics letters, 2014-10, Vol.105 (15)

2014

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Predicting county-scale maize yields with publicly available data

Scientific reports, 2020-09, Vol.10 (1), p.14957-14957, Article 14957

2020

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Genome-wide association analysis of seedling root development in maize (Zea mays L.)

BMC genomics, 2015-02, Vol.16 (1), p.47-47, Article 47

2015

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A deep learning framework to discern and count microscopic nematode eggs

Scientific reports, 2018-06, Vol.8 (1), p.9145-11, Article 9145

2018

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Computational investigation of the impact of glass flexure on thermal efficiency of double-pane windows

Journal of thermal analysis and calorimetry, 2021-07, Vol.145 (2), p.559-567

2021

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Machine Learning Approach for Prescriptive Plant Breeding

Scientific reports, 2019-11, Vol.9 (1), p.17132-12, Article 17132

2019

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Out-of-plane faradaic ion concentration polarization: stable focusing of charged analytes at a three-dimensional porous electrode

Lab on a chip, 2022-02, Vol.22 (3), p.573-583

2022

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Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems

Plant methods, 2018-10, Vol.14 (1), p.86-86, Article 86

2018

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Analysis of maize (Zea mays L.) seedling roots with the high-throughput image analysis tool ARIA (Automatic Root Image Analysis)

PloS one, 2014-09, Vol.9 (9), p.e108255-e108255

2014

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Shape design for stabilizing microparticles in inertial microfluidic flows

Journal of fluid mechanics, 2020-03, Vol.886, Article A14

2020

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Polarized X-ray scattering measures molecular orientation in polymer-grafted nanoparticles

Nature communications, 2021-08, Vol.12 (1), p.4896-4896, Article 4896

2021

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Engineering fluid flow using sequenced microstructures

Nature communications, 2013-05, Vol.4 (1), p.1826-1826, Article 1826

2013

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Electronic, redox, and optical property prediction of organic π-conjugated molecules through a hierarchy of machine learning approaches

Chemical science (Cambridge), 2022-12, Vol.14 (1), p.23-213

2022

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An octree-based immersogeometric approach for modeling inertial migration of particles in channels

Computers & fluids, 2021-01, Vol.214, p.104764, Article 104764

2021

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A real-time phenotyping framework using machine learning for plant stress severity rating in soybean

Plant methods, 2017-04, Vol.13 (1), p.23-23, Article 23

2017

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Hydrogel-based transparent soils for root phenotyping in vivo

Proceedings of the National Academy of Sciences - PNAS, 2019-05, Vol.116 (22), p.11063-11068

2019

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Optimization framework for patient‐specific modeling under uncertainty

International journal for numerical methods in biomedical engineering, 2023-02, Vol.39 (2), p.e3665-n/a

2023

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Immersogeometric analysis of moving objects in incompressible flows

Computers & fluids, 2019-07, Vol.189, p.24-33

2019

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Semiautomated Feature Extraction from RGB Images for Sorghum Panicle Architecture GWAS

Plant physiology (Bethesda), 2019-01, Vol.179 (1), p.24-37

2019

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Thinner biological tissues induce leaflet flutter in aortic heart valve replacements

Proceedings of the National Academy of Sciences - PNAS, 2020-08, Vol.117 (32), p.19007-19016

2020

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Computer vision and machine learning enabled soybean root phenotyping pipeline

Plant methods, 2020-01, Vol.16 (1), p.5-5, Article 5

2020

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Machine Learning for High-Throughput Stress Phenotyping in Plants

An explainable deep machine vision framework for plant stress phenotyping

Plant disease identification using explainable 3D deep learning on hyperspectral images

Crop yield prediction integrating genotype and weather variables using deep learning

How do evaporating thin films evolve? Unravelling phase-separation mechanisms during solvent-based fabrication of polymer blends

Predicting county-scale maize yields with publicly available data

Genome-wide association analysis of seedling root development in maize (Zea mays L.)

A deep learning framework to discern and count microscopic nematode eggs

Computational investigation of the impact of glass flexure on thermal efficiency of double-pane windows

Machine Learning Approach for Prescriptive Plant Breeding

Out-of-plane faradaic ion concentration polarization: stable focusing of charged analytes at a three-dimensional porous electrode

Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems

Analysis of maize (Zea mays L.) seedling roots with the high-throughput image analysis tool ARIA (Automatic Root Image Analysis)

Shape design for stabilizing microparticles in inertial microfluidic flows

Polarized X-ray scattering measures molecular orientation in polymer-grafted nanoparticles

Engineering fluid flow using sequenced microstructures

Electronic, redox, and optical property prediction of organic π-conjugated molecules through a hierarchy of machine learning approaches

An octree-based immersogeometric approach for modeling inertial migration of particles in channels

A real-time phenotyping framework using machine learning for plant stress severity rating in soybean

Hydrogel-based transparent soils for root phenotyping in vivo

Optimization framework for patient‐specific modeling under uncertainty

Immersogeometric analysis of moving objects in incompressible flows

Semiautomated Feature Extraction from RGB Images for Sorghum Panicle Architecture GWAS

Thinner biological tissues induce leaflet flutter in aortic heart valve replacements

Computer vision and machine learning enabled soybean root phenotyping pipeline

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