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Conor L. Evans

Researcher at Harvard University

Publications -  165
Citations -  8097

Conor L. Evans is an academic researcher from Harvard University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 28, co-authored 140 publications receiving 7106 citations. Previous affiliations of Conor L. Evans include Dartmouth College.

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Patent

Non-invasive visualization and quantification of natural pigments

TL;DR: In this paper, a system for visualizing melanin present in tissue can include an imaging system to record a signal based on a presence of melanin in tissue and a display device to display an image based on the signal.
Book ChapterDOI

Convolutional Neural Networks in Advanced Biomedical Imaging Applications

TL;DR: Deep learning (DL), in particular Convolutional Neural Networks (CNNs), can be used to build powerful quantitative image analysis tools, and CNN algorithms can be tailored to assist with extracting meaningful results from imaging data.
Journal ArticleDOI

Quantitative Luminescence Photography of a Swellable Hydrogel Dressing with a Traffic‐Light Response to Oxygen (Adv. Healthcare Mater. 10/2022)

TL;DR: In this paper , a swellable color-changing hydrogel dressing featuring a red-to-green "traffic light" response to oxygen is developed using simple macroscopic photography, intensity-independent quantification of oxygen is enabled though image conversion to the HSB color space, while the green channel intensity can be used to monitor pH.
Journal Article

In vivo coherent Raman imaging of the melanomagenesis-associated pigment pheomelanin

TL;DR: This work shows that the distribution of pheomelanin in cells and tissues can be visually characterized non-destructively and noninvasively in vivo with coherent anti-Stokes Raman scattering (CARS) microscopy, a label-free vibrational imaging technique.
Proceedings ArticleDOI

Phasor approach to fluorescence lifetime imaging microscopy for visualization and quantification of drug distribution of a topical minocycline gel in human facial skin (Conference Presentation)

TL;DR: The unique signature of minocycline in FLIM phasor analysis was successfully differentiated from the endogenous fluorescence of human tissue, and it is believed that the visualization and quantification method using aphasor approach to FLIM can play an important role in future pharmacokinetics and pharmacodynamics analyses.