4.6k citations · 5.3k across the 36 of their papers we have counts for
3 papers · 1 filter
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database
Tong Zheng, Hirohisa Oda, Takayasu Moriya +6
This paper newly introduces multi-modality loss function for GAN-based super-resolution that can maintain image structure and intensity on unpaired training dataset of clinical CT…
Intelligent image synthesis to attack a segmentation CNN using adversarial learning
Liang Chen, Paul Bentley, Kensaku Mori +3
Deep learning approaches based on convolutional neural networks (CNNs) have been successful in solving a number of problems in medical imaging, including image segmentation. In rec…
Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams
Chenglong Wang, Holger R. Roth, Takayuki Kitasaka +7
This paper presents a new approach for precisely estimating the renal vascular dominant region using a Voronoi diagram. To provide computer-assisted diagnostics for the pre-surgica…