546 citations · 740 across the 23 of their papers we have counts for
3 papers · 1 filter
Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays
Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Clement Vachet +1
Knowledge of what spatial elements of medical images deep learning methods use as evidence is important for model interpretability, trustiness, and validation. There is a lack of s…
Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images
Wenguang Yuan, Jia Wei, Jiabing Wang +2
In medical applications, the same anatomical structures may be observed in multiple modalities despite the different image characteristics. Currently, most deep models for multimod…
Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-photon microscopy images
Ertunc Erdil, Ali Ozgur Argunsah, Tolga Tasdizen +2
Data driven segmentation is an important initial step of shape prior-based segmentation methods since it is assumed that the data term brings a curve to a plausible level so that s…