80 citations · 108 across the 9 of their papers we have counts for
9 papers
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images
Huihui Fang, Fei Li, Huazhu Fu +28
Age-related macular degeneration (AMD) is the leading cause of visual impairment among elderly in the world. Early detection of AMD is of great importance, as the vision loss cause…
3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image
Bowen Hu, Baiying Lei, Shuqiang Wang +4
3D shape reconstruction is essential in the navigation of minimally-invasive and auto robot-guided surgeries whose operating environments are indirect and narrow, and there have be…
A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions
Wei Wang, Xiang-Gen Xia, Chuanjiang He +4
In this paper, we first present an arc based algorithm for fan-beam computed tomography (CT) reconstruction via applying Katsevich's helical CT formula to 2D fan-beam CT reconstruc…
Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain
Senrong You, Yong Liu, Baiying Lei +1
Magnetic resonance imaging plays an important role in computer-aided diagnosis and brain exploration. However, limited by hardware, scanning time and cost, it's challenging to acqu…
A model-guided deep network for limited-angle computed tomography
Wei Wang, Xiang-Gen Xia, Chuanjiang He +4
In this paper, we first propose a variational model for the limited-angle computed tomography (CT) image reconstruction and then convert the model into an end-to-end deep network.W…
Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis
Shengye Hu, Baiying Lei, Yong Wang +3
Fusing multi-modality medical images, such as MR and PET, can provide various anatomical or functional information about human body. But PET data is always unavailable due to diffe…