430 citations · 722 across the 14 of their papers we have counts for
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cs.CV2018
High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks
Dimitrios Korkinof, Tobias Rijken, Michael O'Neill +3
The ability to generate synthetic medical images is useful for data augmentation, domain transfer, and out-of-distribution detection. However, generating realistic, high-resolution…
cs.CV2018
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents
Amir Alansary, Loic Le Folgoc, Ghislain Vaillant +11
We propose a fully automatic method to find standardized view planes in 3D image acquisitions. Standard view images are important in clinical practice as they provide a means to pe…