65 citations · 395 across the 24 of their papers we have counts for
25 papers
Generative diffusion models for agricultural AI: plant image generation, indoor-to-outdoor translation, and expert preference alignment
Da Tan, Michael Beck, Christopher P. Bidinosti +2
The success of agricultural artificial intelligence depends heavily on large, diverse, and high-quality plant image datasets, yet collecting such data in real field conditions is c…
Alternative winding patterns for twisted solenoid coils with improved characteristics for TRASE MRI
Nahid Ghomimolkar, Alexander E. Krosney, Christopher P. Bidinosti
Transmit Array Spatial Encoding (TRASE) is an MRI technique in which spatial encoding is achieved using phase gradients of the B1 field. This approach offers potential advantages s…
A Low-Cost Photogrammetry System for 3D Plant Modeling and Phenotyping
Joe Hrzich, Michael A. Beck, Christopher P. Bidinosti +3
We present an open-source, low-cost photogrammetry system for 3D plant modeling and phenotyping. The system uses a structure-from-motion approach to reconstruct 3D representations…
Strategies and impact of learning curve estimation for CNN-based image classification
Laura Didyk, Brayden Yarish, Michael A. Beck +2
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 applications and models it…
A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images
Nooshin Noshiri, Michael A. Beck, Christopher P. Bidinosti +1
Hyperspectral imaging (HSI) is a non-destructive and contactless technology that provides valuable information about the structure and composition of an object. It can capture deta…
Fusarium head blight detection, spikelet estimation, and severity assessment in wheat using 3D convolutional neural networks
Oumaima Hamila, Christopher J. Henry, Oscar I. Molina +2
Fusarium head blight (FHB) is one of the most significant diseases affecting wheat and other small grain cereals worldwide. The development of resistant varieties requires the labo…
Inside Out: Transforming Images of Lab-Grown Plants for Machine Learning Applications in Agriculture
A. E. Krosney, P. Sotoodeh, C. J. Henry +2
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 agriculture, dataset…
Generating accurate tip angles for NMR outside the rotating-wave approximation
Christopher P Bidinosti, Geneviève Tastevin, Pierre-Jean Nacher
The generation of accurate tip angles is critical for many applications of nuclear magnetic resonance. In low static field, with a linear rather than circular polarized rf field, t…
Characterization of electroless nickel-phosphorus plating for ultracold-neutron storage
H. Akatsuka, T. Andalib, B. Bell +51
Electroless nickel plating is an established industrial process that provides a robust and relatively low-cost coating suitable for transporting and storing ultracold neutrons (UCN…
The Precision nEDM Measurement with UltraCold Neutrons at TRIUMF
Ryohei Matsumiya, Hiroaki Akatsuka, Chris P. Bidinosti +45
The TRIUMF Ultra-Cold Advanced Neutron (TUCAN) collaboration aims at a precision neutron electric dipole moment (nEDM) measurement with an uncertainty of $10^{-27}\,e\cdot\mathrm{c…
Investigating classification learning curves for automatically generated and labelled plant images
Michael A. Beck, Christopher P. Bidinosti, Christopher J. Henry +1
In the context of supervised machine learning a learning curve describes how a model's performance on unseen data relates to the amount of samples used to train the model. In this…
The TerraByte Client: providing access to terabytes of plant data
Michael A. Beck, Christopher P. Bidinosti, Christopher J. Henry +1
In this paper we demonstrate the TerraByte Client, a software to download user-defined plant datasets from a data portal hosted at Compute Canada. To that end the client offers two…
Presenting an extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture
Michael A. Beck, Chen-Yi Liu, Christopher P. Bidinosti +3
We present two large datasets of labelled plant-images that are suited towards the training of machine learning and computer vision models. The first dataset encompasses as the day…
An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture
Michael A. Beck, Chen-Yi Liu, Christopher P. Bidinosti +3
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 any domain. For agric…
The Impact of Coupling on Estimation of Local and Global SAR with Transmit Arrays
Pei-Shan Wei, Christopher P. Bidinosti, Scott B. King
In pTx MRI systems, the prediction of local SAR is based on numerical electromagnetic (EM) simulations and used to scale RF power to ensure FDA SAR limits are not exceeded. This pr…
A fast-switching magnet serving a spallation-driven ultracold neutron source
S. Ahmed, E. Altiere, T. Andalib +47
A fast-switching, high-repetition-rate magnet and power supply have been developed for and operated at TRIUMF, to deliver a proton beam to the new ultracold neutron (UCN) facility.…
First ultracold neutrons produced at TRIUMF
S. Ahmed, E. Altiere, T. Andalib +50
We installed a source for ultracold neutrons at a new, dedicated spallation target at TRIUMF. The source was originally developed in Japan and uses a superfluid-helium converter co…
Development of co-located Xe and Xe nuclear spin masers with external feedback scheme
T. Sato, Y. Ichikawa, S. Kojima +23
We report on the operation of co-located Xe and Xe nuclear spin masers with an external feedback scheme, and discuss the use of Xe as a comagnetometer…
Large Magnetic Shielding Factor Measured by Nonlinear Magneto-optical Rotation
Jeffery W. Martin, Russell R. Mammei, Wolfgang Klassen +5
A passive magnetic shield was designed and constructed for magnetometer tests for the future neutron electric dipole moment experiment at TRIUMF. The axial shielding factor of the…
Passive Magnetic Shielding in Gradient Fields
C. P. Bidinosti, J. W. Martin
The effect of passive magnetic shielding on dc magnetic field gradients imposed by both external and internal sources is studied. It is found that for concentric cylindrical or sph…
Phenomenology of a-axis and b-axis charge dynamics from microwave spectroscopy of highly ordered YBa2Cu3O6.50 and YBa2Cu3O6.993
R. Harris, P. J. Turner, Saeid Kamal +9
Extensive measurements of the microwave conductivity of highly pure and oxygen-ordered \YBCO single crystals have been performed as a means of exploring the intrinsic charge dynami…
MRI of the lung using hyperpolarized He-3 at very low magnetic field (3 mT)
C. P. Bidinosti, J. Choukeife, G. Tastevin +2
Optical pumping of He-3 produces large (hyper) nuclear-spin polarizations independent of the magnetic resonance imaging (MRI) field strength. This allows lung MRI to be performed a…
In-Vivo NMR of Hyperpolarized Helium-3 in the Human Lung at Very Low Magnetic Fields
Christopher P. Bidinosti, Jamal Choukeife, Pierre-Jean Nacher +1
We present NMR measurements of the diffusion of hyperpolarized helium-3 in the human lung performed at fields much lower than those of conventional MRI scanners. The measurements w…
CeCoIn5 - a quantum critical superfluid
S. Ozcan, D. M. Broun, B. Morgan +6
We have made the first complete measurements of the London penetration depth of CeCoIn5, a quantum-critical metal where superconductivity arises from a non-Fermi-liquid norm…