[HTML][HTML] Devices and methods for dosimetry of personalized photodynamic therapy of tumors: a review on recent trends

P Alekseeva, V Makarov, K Efendiev, A Shiryaev… - Cancers, 2024 - mdpi.com
Simple Summary The current devices and methods for dosimetry of personalized
photodynamic therapy of tumors have several disadvantages. For instance, they are unable …

Optical property recovery with spatially-resolved diffuse reflectance at short source-detector separations using a compact fiber-optic probe

KG Bridger, JR Roccabruna, TM Baran - Biomedical Optics Express, 2021 - opg.optica.org
We describe a compact fiber-optic probe (2 mm outside diameter) that utilizes spatially-
resolved diffuse reflectance for tissue optical property recovery. Validation was performed in …

Transfer learning as a method to reproduce high-fidelity non-local thermodynamic equilibrium opacities in simulations

MD Vander Wal, RG McClarren… - Journal of Plasma …, 2023 - cambridge.org
Simulations of high-energy density physics often need non-local thermodynamic equilibrium
opacity data. These data, however, are expensive to produce at relatively low fidelity. It is …

Neural network-based inverse model for diffuse reflectance spectroscopy

Q Lan, RG McClarren, K Vishwanath - Biomedical Optics Express, 2023 - opg.optica.org
In diffuse reflectance spectroscopy, the retrieval of the optical properties of a target requires
the inversion of a measured reflectance spectrum. This is typically achieved through the use …

[HTML][HTML] Neural network surrogate models for absorptivity and emissivity spectra of multiple elements

MD Vander Wal, RG McClarren, KD Humbird - Machine Learning with …, 2022 - Elsevier
The emissivity and absorptivity of radiation by matter are fundamental physical parameters
required to adequately simulate inertial confinement fusion experiments. We present novel …

Improved tissue optical property extraction at short source-detector separations using neural networks

TM Baran - Frontiers in Optics, 2022 - opg.optica.org
Improved tissue optical property extraction at short source- detector separations using neural
networks Page 1 Improved tissue optical property extraction at short sourcedetector separations …

[图书][B] Machine Learning Models for Forward and Inverse Problems in Diffuse Reflectance Spectroscopy

Q Lan - 2023 - search.proquest.com
This thesis addresses the challenges encountered in diffuse reflectance spectroscopy (DRS)
regarding the accuracy and efficiency of existing forward and inverse models. To overcome …

Neural networks to solve forward and inverse problems in diffuse reflectance spectroscopy

Q Lan, R McClarren… - AI and Optical Data …, 2022 - spiedigitallibrary.org
Our work applies neutral networks to solving forward and inverse problems in diffuse
reflectance spectroscopy. Firstly, a neural network forward model is trained with Monte Carlo …

[图书][B] The Extension of Neural Networks to Compute NLTE Opacities for Multiple Elements and at Increased Fidelities

MD Vander Wal - 2022 - search.proquest.com
Inertial confinement fusion (ICF) is one of the primary methods that is being pursued today
as a method for achieving sustained nuclear fusion for the purposes of energy generation …

Multispectral imaging of hemoglobin oxygen saturation in skin microcirculation

M Ewerlöf - 2022 - diva-portal.org
The ability to measure microcirculatory parameters such as hemoglobin oxygen saturation is
important since it mirrors the microcirculatory state of the body. The microcirculation delivers …