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Preserving Tumor Volumes for Unsupervised Medical Image Registration
The patent discloses a two-stage unsupervised framework for deformable medical image registration that preserves tumor volumes.
Prof. LIAO Jing, Dr. XU Yan, Dr. WANG Xin, Mr. DONG Qihua, Dr. DU Hao, Ms. SONG Ying
  • Medical Image Registration
  • Deformable Registration
  • Unsupervised Learning
  • Volume-Preserving Loss
  • Tumor Segmentation
  • Deep Learning
  • Jacobian Matrix
  • Convolutional Neural Network (CNN)
  • Medical Imaging
  • Oncology
  • Radiology
  • Cancer Treatment
  • Diagnostic Imaging
  • Healthcare AI
  • Biomedical Engineering
TRL
4
Image to Image Translation Method
The patent introduces an unsupervised image-to-image translation method leveraging a pre-trained StyleGAN2 network.
Prof. LIAO Jing, Prof. KWONG Tak Wu Sam, Ms. HUANG Jialu
  • Image-to-image Translation
  • Generative Adversarial Networks
  • Style-Based Generator
  • Feature Alignment Loss Function
  • Latent Code Injection
  • Social Media
  • Photo Sharing
  • Digital Art
  • Face Filters
  • Image Editing
TRL
4
Weakly-Supervised 3D Medical Image Segmentation Using Geometric Prior and Contrastive Similarity
Researchers have developed a computer-implemented method for segmenting a 3D medical image to produce multiple segmentation masks.
Prof. LIAO Jing, Dr. XU Yan, Dr. DU Hao, Mr. DONG Qihua
  • Convolutional Neural Network (CNN)
  • 3D Medical Imaging
  • Segmentation
  • Artificial Neural Network
  • Medical Technology
  • Medical Imaging
  • Radiology
  • Neural Network
TRL
4

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