AI model for accurate classification of the mucosal lesion along with depth preidction using a single endoscopic image was proposed. Results show that the developed model is on par with or even exceeds performance of practiced experts.
SliceGAN, stochastic model to synthesize 3D microstructures from 2D images, is endowed with the ability to disentangle features, and continuously control these features via AdaIN.
Unsupervised deep learning for simultaneous super-resolution and motion artifact removal of diffusion-weighted MRI scans is proposed.