Inventor

LIU YIKANG

US27 patents

⚠️ This page may combine multiple inventors who share the name “LIU YIKANG”. Patents are grouped by organization below to help distinguish them — per-person disambiguation is on the roadmap.

LIU YIKANG

SHANGHAI UNITED IMAGING INTELLIGENCE CO LTD

Systems and methods for processing medical images with multi-layer perceptron neural networks

MRI reconstruction based on contrastive learning

Systems and methods for fetus monitoring

System and method for magnifying an image based on trained neural networks

Stent visualization enhancement using cascaded spatial transformation network

Self-contrastive learning for image processing

Unsupervised interslice super-resolution for medical images

Motion estimation with anatomical integrity

Systems and methods for enhancing objects in X-ray images

Under-sampled magnetic resonance image reconstruction of an anatomical structure based on a machine-learned image reconstruction model

Systems and methods for segmenting a medical image sequence

Systems and methods for deblurring and denoising medical images

Systems and methods for medical image fusion

Tubular structure segmentation

Systems and methods for enhancing medical images

Systems and methods for denoising medical images

Multi-contrast MRI sampling and image reconstruction

Landmark detection using machine learning techniques

MRI reconstruction based on generative models

Image segmentation and tracking based on statistical shape model

Systems and methods for processing medical images with invertible neural networks

Detecting and enhancing objects in medical images

Systems and methods for tracking groups of objects in medical images

Systems and methods for MRI data processing

ZTE CORP

Method and apparatus for processing network connection

Method, terminal and server for processing information, and communication method and system

UNITED IMAGING INTELLIGENCE BEIJING CO LTD

Systems and methods for processing breast slice images through an artificial neural network to predict abnormalities in breasts