activity
20192022
most citedLatent Space Diffusion Models of Cryo-EM Structures

12 citations · 13 across the 4 of their papers we have counts for

collaborators

6 papers

q-bio.QM202212 cited

Latent Space Diffusion Models of Cryo-EM Structures

Karsten Kreis, Tim Dockhorn, Zihao Li +1

Cryo-electron microscopy (cryo-EM) is unique among tools in structural biology in its ability to image large, dynamic protein complexes. Key to this ability is image processing alg…

cs.CV2022

Generative Modeling in Structural-Hankel Domain for Color Image Inpainting

Zihao Li, Chunhua Wu, Shenglin Wu +3

In recent years, some researchers focused on using a single image to obtain a large number of samples through multi-scale features. This study intends to a brand-new idea that requ…

eess.IV20221 cited

Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training

Shu Zhang, Zihao Li, Hong-Yu Zhou +2

The difficulties in both data acquisition and annotation substantially restrict the sample sizes of training datasets for 3D medical imaging applications. As a result, constructing…

cs.CV2020

Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices

Shu Zhang, Jincheng Xu, Yu-Chun Chen +4

Universal lesion detection from computed tomography (CT) slices is important for comprehensive disease screening. Since each lesion can locate in multiple adjacent slices, 3D conte…

math.NA2019

Implicit Progressive-Iterative Approximation for Curve and Surface Reconstruction

Yusuf Fatihu Hamza, Hongwei Lin, Zihao Li

Implicit curve and surface reconstruction attracts the attention of many researchers and gains a wide range of applications, due to its ability to describe objects with complicated…

cs.CV2019

MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection

Zihao Li, Shu Zhang, Junge Zhang +3

Universal lesion detection (ULD) on computed tomography (CT) images is an important but underdeveloped problem. Recently, deep learning-based approaches have been proposed for ULD,…