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Emma Bluemke
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Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
M Brundage, S Avin, J Wang, H Belfield, K Gretchen, G Hadfield, H Khlaaf, ...
https://arxiv.org/abs/2004.07213, 2020
3292020
Pysyft: A library for easy federated learning
A Ziller, A Trask, A Lopardo, B Szymkow, B Wagner, E Bluemke, ...
Federated learning systems: Towards next-generation AI, 111-139, 2021
1702021
Learning patterns of the ageing brain in MRI using deep convolutional networks
NK Dinsdale, E Bluemke, SM Smith, Z Arya, D Vidaurre, M Jenkinson, ...
NeuroImage 224, 117401, 2021
992021
Rapid detection of necrosis in breast cancer with desorption electrospray ionization mass spectrometry
A Tata, M Woolman, M Ventura, N Bernards, M Ganguly, A Gribble, ...
Scientific reports 6 (1), 35374, 2016
712016
Wide-field tissue polarimetry allows efficient localized mass spectrometry imaging of biological tissues
A Tata, A Gribble, M Ventura, M Ganguly, E Bluemke, HJ Ginsberg, ...
Chemical science 7 (3), 2162-2169, 2016
522016
Optimized Mass Spectrometry Analysis Workflow with Polarimetric Guidance for ex vivo and in situ Sampling of Biological Tissues
M Woolman, A Gribble, E Bluemke, J Zou, M Ventura, N Bernards, M Wu, ...
Scientific reports 7 (1), 468, 2017
482017
Towards best practices in AGI safety and governance: A survey of expert opinion
J Schuett, N Dreksler, M Anderljung, D McCaffary, L Heim, E Bluemke, ...
arXiv preprint arXiv:2305.07153, 2023
302023
An assessment of the utility of tissue smears in rapid cancer profiling with desorption electrospray ionization mass spectrometry (DESI-MS)
M Woolman, A Tata, E Bluemke, D Dara, HJ Ginsberg, A Zarrine-Afsar
Journal of The American Society for Mass Spectrometry 28 (1), 145-153, 2016
282016
Challenges for machine learning in clinical translation of big data imaging studies
NK Dinsdale, E Bluemke, V Sundaresan, M Jenkinson, SM Smith, ...
Neuron 110 (23), 3866-3881, 2022
252022
Beyond privacy trade-offs with structured transparency
A Trask, E Bluemke, B Garfinkel, CG Cuervas-Mons, A Dafoe
arXiv preprint arXiv:2012.08347, 2020
232020
Toward trustworthy AI development: Mechanisms for supporting verifiable claims. ArXiv
M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ...
arXiv preprint arXiv:2004.07213, 2020
192020
Variations in the abundance of lipid biomarker ions in mass spectrometry images correlate to tissue density
J Bilkey, A Tata, TD McKee, AM Porcari, E Bluemke, M Woolman, ...
Analytical chemistry 88 (24), 12099-12107, 2016
192016
Orally administered oxygen nanobubbles enhance tumor response to sonodynamic therapy
J Owen, K Logan, H Nesbitt, S Able, A Vasilyeva, E Bluemke, ...
Nano Select 3 (2), 394-401, 2022
182022
Rapid determination of the tumour stroma ratio in squamous cell carcinomas with desorption electrospray ionization mass spectrometry (DESI-MS): a proof-of-concept demonstration
M Woolman, A Tata, D Dara, J Meens, E D'Arcangelo, CJ Perez, SS Prova, ...
Analyst 142 (17), 3250-3260, 2017
15*2017
Toward trustworthy AI development: Mechanisms for supporting verifiable claims. arXiv 2020
M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ...
arXiv preprint arXiv:2004.07213, 2004
112004
Learning patterns of the ageing brain in MRI using deep convolutional networks. NeuroImage, 224, Article 117401
NK Dinsdale, E Bluemke, SM Smith, Z Arya, D Vidaurre, M Jenkinson, ...
102020
Oxygen-enhanced MRI MOLLI T1 mapping during chemoradiotherapy in anal squamous cell carcinoma
E Bluemke, D Bulte, A Bertrand, B George, R Cooke, KY Chu, L Durrant, ...
Clinical and Translational Radiation Oncology 22, 44-49, 2020
92020
Ambient laser-based mass spectrometry analysis methods: a survey of core technologies and reported applications
A Tata, M Woolman, E Bluemke, A Zarrine-Afsar
Ambient Ionization Mass Spectrometry in Life Sciences, 119-169, 2020
9*2020
Open-sourcing highly capable foundation models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
E Seger, N Dreksler, R Moulange, E Dardaman, J Schuett, K Wei, ...
arXiv preprint arXiv:2311.09227, 2023
82023
A general model to calculate the spin–lattice relaxation rate (R1) of blood, accounting for hematocrit, oxygen saturation, oxygen partial pressure, and magnetic field strength …
E Bluemke, E Stride, DP Bulte
Journal of Magnetic Resonance Imaging 55 (5), 1428-1439, 2022
82022
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