A curation of books, articles, papers, and other works that I've enjoyed (or am currently enjoying).
Knoll F et al. (2020). Deep-learning methods for parallel magnetic resonance imaging reconstruction. IEEE Signal Process MagLink
Yu A et al. (2021). Radiance Fields without Neural Networks. arXiv PreprintLink
Davies A et al. (2021). Advancing mathematics by guiding human intuition with AI. NatureLink
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. NeuroImageLink
Sohl-Dickstein J et al. (2015). Deep unsupervised learning using nonequilibrium thermodynamics. arXiv PreprintLink
Brophy JAN, Voigt CA. (2014). Principles of genetic circuit design. Nature