Suwei Zhang

ORCID: 0009-0009-5705-437X
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About
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Research Areas
  • Medical Image Segmentation Techniques
  • Advanced MRI Techniques and Applications
  • Brain Tumor Detection and Classification
  • Electron Spin Resonance Studies
  • Image Retrieval and Classification Techniques
  • Optical Systems and Laser Technology
  • Total Knee Arthroplasty Outcomes
  • Cardiac Imaging and Diagnostics
  • Advanced Data Storage Technologies
  • Engineering Applied Research
  • Advanced Neural Network Applications
  • Infrared Thermography in Medicine
  • Algorithms and Data Compression
  • Caching and Content Delivery

East China Normal University
2024

Max Planck Institute for Biophysical Chemistry
2013

10.1109/cvpr52733.2024.01097 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024-06-16

10.1109/icme57554.2024.10688036 article EN 2022 IEEE International Conference on Multimedia and Expo (ICME) 2024-07-15

It is difficult for general registration methods to establish the fine correspondence between images with complex anatomical structures. To overcome above problem, this work presents SFM-Net, an unsupervised multi-stage semantic feature-based network. In addition using pixel-based similarity metrics, we propose a feature operator and emphasize improve alignment of related areas. Specifically, design two-stage training strategy, intensity image stage stage. The former valid features learning...

10.1109/jbhi.2024.3524361 article EN IEEE Journal of Biomedical and Health Informatics 2024-01-01

Ziele: Ein neu entwickeltes MRT-Verfahren zur 2D Flussmessung mit hoher zeitlicher und räumlicher Auflösung ermöglicht dynamische Flussmessungen in Echtzeit. Die Zuverlässigkeit dieser Technik im Vergleich zu Standardsequenzen sollte vivo gezeigt werden. Methode: Echtzeit-Flussmessung basiert auf einer radialen FLASH-Sequenz starker Unterabtastung anschließender Bildrekonstruktion iterativer, nicht-linearen Inversion. Sequenz erlaubt eine reale zeitliche von 40 ms, in-plane 1,2 mm bei 6...

10.1055/s-0033-1346231 article DE RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren 2013-04-26
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