Search Results - "Bidinosti, Christopher P"

An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture by Beck, Michael A, Liu, Chen-Yi, Bidinosti, Christopher P, Henry, Christopher J, Godee, Cara M, Ajmani, Manisha

“…A lack of sufficient training data, both in terms of variety and quantity, is often the bottleneck in the development of machine learning (ML) applications in…”
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Inside out: transforming images of lab-grown plants for machine learning applications in agriculture by Krosney, Alexander E, Sotoodeh, Parsa, Henry, Christopher J, Beck, Michael A, Bidinosti, Christopher P

“…Machine learning tasks often require a significant amount of training data for the resultant network to perform suitably for a given problem in any domain. In…”
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Leveraging Guided Backpropagation to Select Convolutional Neural Networks for Plant Classification by Mostafa, Sakib, Mondal, Debajyoti, Beck, Michael A, Bidinosti, Christopher P, Henry, Christopher J, Stavness, Ian

“…The development of state-of-the-art convolutional neural networks (CNN) has allowed researchers to perform plant classification tasks previously thought…”
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General Solution of the Hollow Cylinder and Concentric DC Surface Current by Bidinosti, Christopher P., Sakamoto, Yu, Asahi, Koichiro

“…We provide a general solution to the problem of an infinitely long, hollow cylinder of uniform, linear permeability in the presence of any continuous dc…”
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Generating accurate tip angles for NMR outside the rotating-wave approximation by Bidinosti, Christopher P., Tastevin, Geneviève, Nacher, Pierre-Jean

“…[Display omitted] •Numerical and experimental exploration of rf pulses outside the rotating-wave approximation.•Pulse area is not the only consideration for…”
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A fast MOSFET rf switch for low-field NMR and MRI by Nacher, Pierre-Jean, Kumaragamage, Sashika, Tastevin, Geneviève, Bidinosti, Christopher P.

“…[Display omitted] •MOSFET-based switches allow for sub-μs switching of RF currents.•When used with tuned coils, they allow for efficient energy storage and…”
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Fusarium head blight detection, spikelet estimation, and severity assessment in wheat using 3D convolutional neural networks by Hamila, Oumaima, Henry, Christopher J., Molina, Oscar I., Bidinosti, Christopher P., Henriquez, Maria Antonia

“…Fusarium head blight (FHB) is one of the most significant diseases affecting wheat and other small-grain cereals worldwide. Developing FHB-resistant cultivars…”
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The metallic sphere in a uniform ac magnetic field: A simple and precise experiment for exploring eddy currents and non-destructive testing by Honke, Michael L., Bidinosti, Christopher P.

“…We describe a very simple experiment that utilizes standard laboratory equipment to measure the electromagnetic response of a metallic sphere exposed to a…”
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Magnetic diffusion, inductive shielding, and the Laplace transform by Krosney, Alexander E., Lang, Michael, Weirathmueller, Jakob J., Bidinosti, Christopher P.

“…In the quasistatic limit, a time-varying magnetic field inside a conductor is governed by the diffusion equation. Despite the occurrence of this scenario in…”
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A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images by Noshiri, Nooshin, Beck, Michael A., Bidinosti, Christopher P., Henry, Christopher J.

“…Hyperspectral imaging (HSI) is a non-destructive and contactless technology that provides valuable information about the structure and composition of an…”
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Assessing the accuracy of using oscillating gradient spin echo sequences with AxCaliber to infer micron-sized axon diameters by Mercredi, Morgan, Vincent, Trevor J., Bidinosti, Christopher P., Martin, Melanie

“…Objective Current magnetic resonance imaging (MRI) axon diameter measurements rely on the pulsed gradient spin-echo sequence, which is unable to provide…”
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4D MR phase and magnitude segmentations with GPU parallel computing by Bergen, Robert V, Lin, Hung-Yu, Alexander, Murray E, Bidinosti, Christopher P

“…Abstract The increasing size and number of data sets of large four dimensional (three spatial, one temporal) magnetic resonance (MR) cardiac images…”
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Measurement of alveolar oxygen partial pressure in the rat lung using Carr-Purcell-Meiboom-Gill spin-spin relaxation times of hyperpolarized 3He and 129Xe at 74 mT by Kraayvanger, Ryan J., Bidinosti, Christopher P., Dominguez-Viqueira, William, Parra-Robles, Juan, Fox, Matthew, Lam, Wilfred W., Santyr, Giles E.

“…Regional measurement of alveolar oxygen partial pressure can be obtained from the relaxation rates of hyperpolarized noble gases, 3He and 129Xe, in the lungs…”
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In vivo NMR of hyperpolarized 3He in the human lung at very low magnetic fields by Bidinosti, Christopher P., Choukeife, Jamal, Nacher, Pierre-Jean, Tastevin, Geneviève

“…We present NMR measurements of the diffusion of hyperpolarized 3He in the human lung performed at fields much lower than those of conventional MRI scanners…”
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An improved shielded RF transmit coil for low-frequency NMR and MRI by Kuzmin, V.V., Bidinosti, C.P., Hayden, M.E., Nacher, P.-J.

“…[Display omitted] •A shielded coil produces highly uniform B1 at low frequency.•Experimental checks agree with computed expectations.•External B1 is…”
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Measurement of alveolar oxygen partial pressure in the rat lung using Carr‐Purcell‐Meiboom‐Gill spin–spin relaxation times of hyperpolarized 3 He and 129 Xe at 74 mT by Kraayvanger, Ryan J., Bidinosti, Christopher P., Dominguez‐Viqueira, William, Parra‐Robles, Juan, Fox, Matthew, Lam, Wilfred W., Santyr, Giles E.

“…Regional measurement of alveolar oxygen partial pressure can be obtained from the relaxation rates of hyperpolarized noble gases, 3 He and 129 Xe, in the…”
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Strategies and impact of learning curve estimation for CNN-based image classification by Didyk, Laura, Yarish, Brayden, Beck, Michael A, Bidinosti, Christopher P, Henry, Christopher J

“…Learning curves are a measure for how the performance of machine learning models improves given a certain volume of training data. Over a wide variety of…”
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A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images by Noshiri, Nooshin, Beck, Michael A, Bidinosti, Christopher P, Henry, Christopher J

“…Smart Agricultural Technology 5 (2023) 100316 Hyperspectral imaging (HSI) is a non-destructive and contactless technology that provides valuable information…”
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Fusarium head blight detection, spikelet estimation, and severity assessment in wheat using 3D convolutional neural networks by Hamila, Oumaima, Henry, Christopher J, Molina, Oscar I, Bidinosti, Christopher P, Henriquez, Maria Antonia

“…Fusarium head blight (FHB) is one of the most significant diseases affecting wheat and other small grain cereals worldwide. The development of resistant…”
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Generating accurate tip angles for NMR outside the rotating-wave approximation by Bidinosti, Christopher P, Tastevin, Geneviève, Nacher, Pierre-Jean

“…Journal of Magnetic Resonance 345 (2022) 107306 The generation of accurate tip angles is critical for many applications of nuclear magnetic resonance. In low…”
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