Jeffrey De Fauw

4 papers and 147 indexed citations i.

Jeffrey De Fauw is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jeffrey De Fauw has authored 4 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jeffrey De Fauw’s work include Generative Adversarial Networks and Image Synthesis (1 paper), Multimodal Machine Learning Applications (1 paper) and Image Processing and 3D Reconstruction (1 paper). Jeffrey De Fauw is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (1 paper), Multimodal Machine Learning Applications (1 paper) and Image Processing and 3D Reconstruction (1 paper). Jeffrey De Fauw collaborates with scholars based in United States, United Kingdom and Germany. Jeffrey De Fauw's co-authors include Sander Dieleman, Koray Kavukcuoglu, Klaus Maier‐Hein, S. M. Ali Eslami, Joseph R. Ledsam, Simon Köhl, Danilo Jimenez Rezende, Bernardino Romera‐Paredes, Clemens Meyer and Olaf Ronneberger and has published in prestigious journals such as Investigative Ophthalmology & Visual Science, arXiv (Cornell University) and Neural Information Processing Systems.