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Russ Bates
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Highly accurate protein structure prediction with AlphaFold
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
Nature 596 (7873), 583-589, 2021
207972021
Highly accurate protein structure prediction for the human proteome
K Tunyasuvunakool, J Adler, Z Wu, T Green, M Zielinski, A ®ídek, ...
Nature 596 (7873), 590-596, 2021
19542021
Protein complex prediction with AlphaFold-Multimer
R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A ®ídek, ...
biorxiv, 2021.10. 04.463034, 2021
15602021
Applying and improving AlphaFold at CASP14
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
Proteins: Structure, Function, and Bioinformatics 89 (12), 1711-1721, 2021
2552021
High accuracy protein structure prediction using deep learning
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ...
Fourteenth critical assessment of techniques for protein structure …, 2020
1512020
AlphaFold 2
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ...
Fourteenth Critical Assessment of Techniques for Protein Structure Prediction, 2020
99*2020
Highly accurate protein structure prediction with AlphaFold., 2021, 596
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
DOI: https://doi. org/10.1038/s41586-021-03819-2, 583-589, 0
98
Estimating oxygen distribution from vasculature in three-dimensional tumour tissue
DR Grimes, P Kannan, DR Warren, B Markelc, R Bates, R Muschel, ...
Journal of The Royal Society Interface 13 (116), 20160070, 2016
612016
maskSLIC: regional superpixel generation with application to local pathology characterisation in medical images
B Irving
arXiv preprint arXiv:1606.09518, 2016
352016
Extracting 3D vascular structures from microscopy images using convolutional recurrent networks
R Bates, B Irving, B Markelc, J Kaeppler, R Muschel, V Grau, JA Schnabel
arXiv preprint arXiv:1705.09597, 2017
272017
Segmentation of vasculature from fluorescently labeled endothelial cells in multi-photon microscopy images
R Bates, B Irving, B Markelc, J Kaeppler, G Brown, RJ Muschel, M Brady, ...
IEEE transactions on medical imaging 38 (1), 1-10, 2017
232017
Stochastic resonance in an intracellular genetic perceptron
R Bates, O Blyuss, A Zaikin
Physical Review E 89 (3), 032716, 2014
232014
Protein complex prediction with AlphaFold-Multimer. 2022; bioRxiv doi: 10 March 2022, preprint: not peer reviewedhttps
R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A ®ídek, ...
doi. org/10.1101/2021.10 4, 0
22
Functional parameters derived from magnetic resonance imaging reflect vascular morphology in preclinical tumors and in human liver metastases
P Kannan, WW Kretzschmar, H Winter, D Warren, R Bates, PD Allen, ...
Clinical Cancer Research 24 (19), 4694-4704, 2018
172018
Effect of noise in intelligent cellular decision making
R Bates, O Blyuss, A Alsaedi, A Zaikin
PloS one 10 (5), e0125079, 2015
112015
Graph cuts-based registration revisited: a novel approach for lung image registration using supervoxels and image-guided filtering
A Szmul, BW Papiez, R Bates, A Hallack, JA Schnabel, V Grau
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
102016
Learning to extract tumour vasculature: Techniques in machine learning for medical image analysis
R Bates
University of Oxford, 2017
72017
Improving In Vivo High-Resolution CT Imaging of the Tumour Vasculature in Xenograft Mouse Models through Reduction of Motion and Bone-Streak Artefacts
V Kersemans, P Kannan, JS Beech, R Bates, B Irving, S Gilchrist, ...
PloS one 10 (6), e0128537, 2015
62015
Filling large discontinuities in 3D vascular networks using skeleton-and intensity-based information
R Bates, L Risser, B Irving, BW Papie¿, P Kannan, V Kersemans, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015
62015
Predicting protein structures by sharing information between multiple sequence alignments and pair embeddings
M Figurnov, A Pritzel, RA Evans, RJ Bates, O Ronneberger, S Kohl, ...
US Patent App. 18/026,376, 2023
2023
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