114 citations · 114 across the 5 of their papers we have counts for
3 papers · 1 filter
Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions
Stephen Bonner, Amir Atapour-Abarghouei, Philip T Jackson +5
Graphs have become a crucial way to represent large, complex and often temporal datasets across a wide range of scientific disciplines. However, when graphs are used as input to ma…
Combining Mathematical Morphology and the Hilbert Transform for Fully Automatic Nuclei Detection in Fluorescence Microscopy
Carl J. Nelson, Philip T. G. Jackson, Boguslaw Obara
Accurate and reliable nuclei identification is an essential part of quantification in microscopy. A range of mathematical and machine learning approaches are used but all methods h…
Phenotypic Profiling of High Throughput Imaging Screens with Generic Deep Convolutional Features
Philip T. Jackson, Yinhai Wang, Sinead Knight +5
While deep learning has seen many recent applications to drug discovery, most have focused on predicting activity or toxicity directly from chemical structure. Phenotypic changes e…