Picture for Peichao Li

Peichao Li

A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging

Add code
Jul 27, 2024
Viaarxiv icon

Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: Application to surgical imaging

Add code
Feb 21, 2023
Viaarxiv icon

Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction

Add code
Sep 03, 2021
Figure 1 for Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction
Figure 2 for Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction
Figure 3 for Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction
Figure 4 for Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction
Viaarxiv icon

Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle

Add code
Sep 16, 2019
Figure 1 for Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle
Figure 2 for Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle
Figure 3 for Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle
Figure 4 for Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle
Viaarxiv icon

Z-Net: an Asymmetric 3D DCNN for Medical CT Volume Segmentation

Add code
Sep 16, 2019
Figure 1 for Z-Net: an Asymmetric 3D DCNN for Medical CT Volume Segmentation
Figure 2 for Z-Net: an Asymmetric 3D DCNN for Medical CT Volume Segmentation
Figure 3 for Z-Net: an Asymmetric 3D DCNN for Medical CT Volume Segmentation
Figure 4 for Z-Net: an Asymmetric 3D DCNN for Medical CT Volume Segmentation
Viaarxiv icon

U-Net Training with Instance-Layer Normalization

Add code
Aug 25, 2019
Figure 1 for U-Net Training with Instance-Layer Normalization
Figure 2 for U-Net Training with Instance-Layer Normalization
Figure 3 for U-Net Training with Instance-Layer Normalization
Figure 4 for U-Net Training with Instance-Layer Normalization
Viaarxiv icon

One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud

Add code
Jul 24, 2019
Figure 1 for One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud
Figure 2 for One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud
Figure 3 for One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud
Figure 4 for One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud
Viaarxiv icon