Empirical Bayesian Mixture Models for Medical Image Translation
Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning
Unpaired Multi-Contrast MR Image Synthesis using Generative Adversarial Networks
Unsupervised Retina Image Synthesis via Disentangled Representation Learning
Pseudo-normal PET Synthesis with Generative Adversarial Networks for Localising Hypometabolism in Epilepsies
Breast Mass Detection in Mammograms via Blending Adversarial Learning
Tunable CT lung nodule synthesis conditioned on background image and semantic features
Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis
Towards Annotation-Free Segmentation of Fluorescently Labeled Cell Membranes in Confocal Microscopy Images
Intelligent image synthesis to attack a segmentation CNN using adversarial learning
Physics-informed brain MRI segmentation
3D Medical Image Synthesis by Factorised Representation and Deformable Model Learning
Cycle-consistent training for Reducing Negative Jacobian Determinant in Deep Registration Networks
iSMORE: an iterative self super-resolution algorithm
An Optical Model of Whole Blood for Detecting Platelets in Lens-Free Images
Evaluation of the realism of an MRI simulator for stroke lesion prediction using convolutional neural network.