28 citations · 43 across the 3 of their papers we have counts for
3 papers
Direct deduction of chemical class from NMR spectra
Stefan Kuhn, Carlos Cobas, Agustin Barba +3
This paper presents a proof-of-concept method for classifying chemical compounds directly from NMR data without doing structure elucidation. This can help to reduce time in finding…
A Pilot Study For Fragment Identification Using 2D NMR and Deep Learning
Stefan Kuhn, Eda Tumer, Simon Colreavy-Donnelly +1
This paper presents a method to identify substructures in NMR spectra of mixtures, specifically 2D spectra, using a bespoke image-based Convolutional Neural Network application. Th…
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images
Saul Calderon-Ramirez, Shengxiang-Yang, Armaghan Moemeni +4
The Corona Virus (COVID-19) is an internationalpandemic that has quickly propagated throughout the world. The application of deep learning for image classification of chest X-ray i…