A curation of books, articles, papers, and other works that I've enjoyed (or am currently enjoying).

Research Papers

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Knoll F et al. (2020). Deep-learning methods for parallel magnetic resonance imaging reconstruction. IEEE Signal Process Mag

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Yu A et al. (2021). Radiance Fields without Neural Networks. arXiv Preprint

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Davies A et al. (2021). Advancing mathematics by guiding human intuition with AI. Nature

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Iglesias JE et al. (2021). Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast. NeuroImage

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Sohl-Dickstein J et al. (2015). Deep unsupervised learning using nonequilibrium thermodynamics. arXiv Preprint

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Brophy JAN, Voigt CA. (2014). Principles of genetic circuit design. Nature