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James R Hopgood

Showing results (11-20 of 17) with videos related to

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IEEE Transactions on Bio-Medical Engineering|February 1, 2024
A Novel Fit-Flexible Fluorescence Soft Imager: Tri-Sensing of Intensity, Fall-Time, and Life ProfileAli Taimori, Bethany Mills, Erin Gaughan, et al.
NPJ Digital Medicine|April 3, 2026
Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical stainingZhenya Zang, David A Dorward, Katherine E Quiohilag, et al.
Communications Biology|October 22, 2022
Deep learning-assisted co-registration of full-spectral autofluorescence lifetime microscopic images with H&E-stained histology imagesQiang Wang, Susan Fernandes, Gareth O S Williams, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic ImagesQiang Wang, James R Hopgood, Neil Finlayson, et al.
Faraday Discussions|April 2, 2016
SERS as a tool for in vitro toxicologyKate M Fisher, Jennifer A McLeish, Lauren E Jamieson, et al.
Npj Imaging|July 1, 2024
Deep learning-based virtual H& E staining from label-free autofluorescence lifetime imagesQiang Wang, Ahsan R Akram, David A Dorward, et al.
BMJ Open|February 2, 2026
Protocol for the PROSECCA study: a new approach for predicting radiotherapy outcome using artificial intelligence and electronic population-based healthcare dataWilliam H Nailon, David J Noble, Ewen Harrison, et al.
Pageof 2

Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
IEEE Transactions on Bio-Medical Engineering|February 1, 2024
A Novel Fit-Flexible Fluorescence Soft Imager: Tri-Sensing of Intensity, Fall-Time, and Life ProfileAli Taimori, Bethany Mills, Erin Gaughan, et al.
NPJ Digital Medicine|April 3, 2026
Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical stainingZhenya Zang, David A Dorward, Katherine E Quiohilag, et al.
Communications Biology|October 22, 2022
Deep learning-assisted co-registration of full-spectral autofluorescence lifetime microscopic images with H&E-stained histology imagesQiang Wang, Susan Fernandes, Gareth O S Williams, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic ImagesQiang Wang, James R Hopgood, Neil Finlayson, et al.
Faraday Discussions|April 2, 2016
SERS as a tool for in vitro toxicologyKate M Fisher, Jennifer A McLeish, Lauren E Jamieson, et al.
Npj Imaging|July 1, 2024
Deep learning-based virtual H& E staining from label-free autofluorescence lifetime imagesQiang Wang, Ahsan R Akram, David A Dorward, et al.
BMJ Open|February 2, 2026
Protocol for the PROSECCA study: a new approach for predicting radiotherapy outcome using artificial intelligence and electronic population-based healthcare dataWilliam H Nailon, David J Noble, Ewen Harrison, et al.
Pageof 2