
Abraham George Smith
@Abe_404
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Postdoc | @DIKU_Institut | #RootPainter | Image Segmentation | Interactive Deep Learning | Phenotyping 🌱
Joined May 2017
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation. Now in @NewPhyt
nph.onlinelibrary.wiley.com
Convolutional neural networks (CNNs) are a powerful tool for plant image analysis, but challenges remain in making them more accessible to researchers without a machine-learning background. We pre...
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Accurate, user-friendly, and free AI stomata quantification with #RootPainter using corrective annotation. Works across species & imaging setups. See our new paper "#Stomata morphology measurement with interactive machine learning: accuracy, speed, and biological relevance".
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Five seasons with DeepRootLab: A unique facility for easier deep root research in the field -- I really enjoyed this collaboration with @EusunHan et al - more work coming soon.
biorxiv.org
Deep-rooted crops accessing water and nutrients from deep soil layers enhance the resource base for crop production. However, studying these roots in field conditions is labor-intensive, limiting...
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The instructions are available here:
github.com
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation - Abe404/root_painter
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RT @LDeClippele: 🎓🐟 PhD Opportunity! 🐟🎓.Explore how coastal habitats support fisheries using #bioacoustics & #MachineLearning!.🌊 Study mari….
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New paper 📊🌱: 'Automated seminal root angle measurement with corrective annotation' Excited to share our new free #OpenSource tool for root scientists! With Marta Malinowska, Torben Asp, & team @QGG_AU #AI #OpenScience #ROOTS.
academic.oup.com
Abstract. Measuring seminal root angle is an important aspect of root phenotyping, yet automated methods are lacking. We introduce SeminalRootAngle, a nove
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RT @M_ecohydro: 📢New Root paper: Accesible AI model for ecologists fails to catch roots in complex mature forest soil images from minirhi….
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RT @richardnair: 📢📢full funded (EU-UK) PhD project with me @TCD_NatSci doing cutting edge stuff with automated root measurements to underst….
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RT @LDeClippele: How do you boost AI model training efficiency? A team of Benthic Ecologists and Machine Learning Scientists dived into thi….
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RT @H_Poppy_Clark: 🚨New paper alert!🚨 Our work demonstrating the suitability of RootPainter, an interactive machine learning tool, to marin….
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RT @H_Poppy_Clark: Be sure to check out the paper and our handy handbook ( to see just how accessible RootPainter i….
zenodo.org
This handbook details use of the open-source and user friendly machine learning tool, RootPainter, for analysis of marine image data. This tool can be used to extract area measurements for a given...
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RT @richardnair: if you're looking for a PhD and are interested in #roots, #belowground dynamics, and links between plant physiology, soils….
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RT @LDeClippele: Final days to apply to the Ecological Data Science Leverhulme DTP which offers an exciting array of data science and machi….
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RT @LDeClippele: 📢PhD opportunities in Ecological Data Science as part of *Leverhulme DTP* . On offer: fully funded deep-learning PhD proje….
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RT @LarryMattYork: I am hiring a postdoctoral researcher with my colleague Dr. Chen at ORNL to work on shoot and root responses to fungal a….
jobs.ornl.gov
Postdoctoral Research Associate - Plant Systems Biology
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Toward improved image‐based root phenotyping: Handling temporal and cross‐site domain shifts in crop root segmentation models - Banet - 2024 - The Plant Phenome Journal - I really enjoyed this collaboration and am happy to see this published.
acsess.onlinelibrary.wiley.com
Minimizing model error is key to accurately depict phenotypes and detect treatment effects. Domain shifts can exacerbate model error and reduce model accuracy. Growth-stage-specific models minimize...
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