Predicting scheduled hospital attendance with artificial intelligence. - Amy P. K. Nelson; Daniel Herron; Geraint Rees 001; Parashkev Nachev (npj Digit. Medicine, 2019)

Representational ethical model calibration. - Robert Carruthers; Isabel Straw; James K. Ruffle; Daniel Herron; Amy P. K. Nelson; Danilo Bzdok; Delmiro Fernandez-Reyes; Geraint Rees 001; Parashkev Nachev (npj Digit. Medicine, 2022)

GeoSPM: Geostatistical parametric mapping for medicine. - Holger Engleitner; Ashwani Jha; Marta Suárez-Pinilla; Amy P. K. Nelson; Daniel Herron; Geraint Rees 001; Karl J. Friston; Martin Rossor; Parashkev Nachev (Patterns, 2022)

Reframing research impact. - Amy P. K. Nelson (Patterns, 2022)

Deep forecasting of translational impact in medical research. - Amy P. K. Nelson; Robert J. Gray; James K. Ruffle; Henry C. Watkins; Daniel Herron; Nick Sorros; Danil Mikhailov; M. Jorge Cardoso; Sébastien Ourselin; Nick McNally; Bryan Williams; Geraint E. Rees; et al. (Patterns, 2022)

Deep Variational Lesion-Deficit Mapping. - Guilherme Pombo; Robert J. Gray; Amy P. K. Nelson; Chris Foulon; John Ashburner; Parashkev Nachev (CoRR, 2023)