Validated respiratory drug deposition predictions from 2D and 3D medical images with statistical shape models and convolutional neural networks
Main Authors: | Josh Williams, Haavard Ahlqvist, Alexander Cunningham, Andrew Kirby, Ira Katz, John Fleming, Joy Conway, Steve Cunningham, Ali Ozel, Uwe Wolfram |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2024-01-01
|
Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10817191/?tool=EBI |
Similar Items
-
Validated respiratory drug deposition predictions from 2D and 3D medical images with statistical shape models and convolutional neural networks.
by: Josh Williams, et al.
Published: (2024-01-01) -
A long history of dense deposit disease
by: Alan Cunningham, et al.
Published: (2018-09-01) -
Prediction of the Sleep Apnea Severity Using 2D-Convolutional Neural Networks and Respiratory Effort Signals
by: Verónica Barroso-García, et al.
Published: (2023-10-01) -
Individual Tree Detection in Urban ALS Point Clouds with 3D Convolutional Networks
by: Stefan Schmohl, et al.
Published: (2022-03-01) -
INTERFACES. A program for determining the 3D structures of surfaces sites using NMR data
by: James Cunningham, et al.
Published: (2022-12-01)