Geraint Rees - Selected Publications#
25,106 citations of 398 cited articles in Web of Science (Google Scholar 44,879) with an ISI average of 63.28 citations per article and 913 citations/annum. My ISI H index is 79 (Google Scholar 103) and my Google Scholar I10-index is 291 (256 since 2017).
1. Tomasev N… Rees G… & Mohamed S. (2019) A Clinically Applicable Approach to Continuous Prediction of Future Acute Kidney Injury. Nature 572, 116-119. As Senior Scientific Advisor to Google Deepmind, I initiated this project which developed a machine learning algorithm to predict a common in-hospital complication and provide a therapeutic window. The algorithm was implemented in a mobile-phone based system and deployed in the UK NHS with successful evaluation of impact.
2. De Fauw J...Rees G.... & Ronneberger O (2018) Clinically applicable deep learning for diagnosis and referral in retinal optical coherence tomography. Nature Medicine 24, 1342-1350. Project developed as Senior Scientific Advisor to Google Deepmind, one of the first deployable software-analytics-as-a-service for retinal imaging, allowing remote diagnosis of multiple eye diseases using standard hospital equipment. Now developed into a product undergoing clinical trials.
3. Nair A, Johnson E, Gregory S, Osbourne-Crawley K, Zeun P, Scahill R, Lowe J, Papoutsi M, Rutledge R, Rees G, Tabrizi S (2021) Aberrant striatal value representation in Huntington’s gene carriers twenty-five years before onset. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging. PMID 33795209 DOI: 10.1016/j.bpsc.2020.12.015. Part of a long series of recent collaborative work with Pr. Sarah Tabrizi (usually as joint senior or alternating senior authors) this example shows our delineation of the very earliest changes in Huntington's disease, an inherited dementia. This allows both understanding the pathogenesis of disease and establishes a therapeutic window prior to clinical onset.
4. Song C, Schwarzkopf DS, Kanai R, Rees G. (2015) Neural population tuning links visual cortical anatomy to human visual perception. Neuron 85(3):641-56. doi: 10.1016/j.neuron.2014.12.041. Part of a series of papers linking individual differences in perception to structural and functional motifs, that helped catalyse broader expansion of this field of enquiry.
5. Schwarzkopf DS, Song C & Rees G (2011) The surface area of human V1 predicts the subjective experience of object size. Nature Neuroscience 14(1):28-30. Provided the first evidence that structural variability in human visual cortex can be linked to inter-individual differences in conscious experience of the world.
6. Fleming S, Weil R, Nagy Z, Dolan R & Rees G (2010) Relating introspective accuracy to individual differences in brain structure. Science 329, 1541-43. The first demonstration that individual differences in perceptual metacognition (our ability to introspect about our visual experience) related to differences in prefrontal cortical anatomy).
7. Bahrami B, Olsen, Latham, Roepstorff A, Rees G & Frith C (2010) Optimally interacting minds Science 329, 1081-5. Established novel experimental paradigms to characterise social interactions during perceptual decision making - and found that human cooperation could lead to sensory perception better than any one individual's perceptual thresholds. First to begin mechanistically investigating the cognitive underpinnings of the 'wisdom of crowds' phenomenon.
8. Haynes J-D, Deichmann R & Rees G. (2005) Eye-specific suppression in human LGN reflects perceptual dominance during binocular rivalry. Nature 438, 214-9. First evidence for involvement of the earliest possible effect of inter-ocular rivalry after the retina and optic chiasm. Changed views of the nature and extent of rivalrous phenomena in the human visual system and extended consideration of neural correlates of consciousness to include subcortical structures.
9. Haynes J-D & Rees G. (2005) Predicting the orientation of invisible stimuli from activity in human visual cortex. Nature Neuroscience 8, 686-91 [See also News & Views]]. Now cited over 2,000 times this was the first demonstration of a key prediction by Crick & Koch in their Nature paper defining neural correlates of consciousness, showing that unconscious information was represented in patterns of neural activity in primary visual cortex. One of the first uses of multivariate pattern recognition in human brain imaging which subsequently became a major field of enquiry worldwide over the next decade.
10. Lumer E, Friston KJ, Rees G (1998) Neural Correlates of Perceptual Rivalry in the Human Brain. Science 280, 1930-. One of the very first uses of neuroimaging to study multistable visual illusions where the same stimulus can be perceived in different ways. Demonstrated a network mechanism for the dynamics of rivalry and established a core network for conscious vision that has subsequently been replicated in multiple studies.
