Beiji Zou

1. Deform-Mamba Network for MRI Super-Resolution
   2024/07/08 by Zexin Ji, Beiji Zou, Ji, Zexin +7 · 6 citations
   Computer Science · Engineering · Neuroscience · #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Medical Imaging and Analysis
2. Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report
   2022/10/20 by Marcos V. Conde, Radu Timofte, Conde, Marcos V. +83 · 2 citations
   Engineering · #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image Processing Techniques and Applications #Image and Video Processing (eess.IV) #Photoacoustic and Ultrasonic Imaging #electronic engineering #information engineering
3. A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment
   2020/10/26 by Ziwen Xu, Xu, Ziwen, Beiji Zou +3 · 1 citation
   Computer Science · Engineering · Medicine · Neuroscience · #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Retinal Imaging and Analysis #Retinal and Optic Conditions #cs.CV #eess.IV #electronic engineering #information engineering
4. A Deep Retinal Image Quality Assessment Network with Salient Structure Priors
   2020/12/31 by Ziwen Xu, Beiji Zou, beiji Zou +4 · 1 citation
   Computer Science · Engineering · Medicine · #Advanced Image Fusion Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Retinal Imaging and Analysis #Visual Attention and Saliency Detection #cs.CV
5. Self-Prior Guided Mamba-UNet Networks for Medical Image Super-Resolution
   2024/07/08 by Zexin Ji, Ji, Zexin, Beiji Zou +7 · 1 citation
   Computer Science · Engineering · #Advanced Image Processing Techniques #Image Processing Techniques and Applications #Image and Signal Denoising Methods