506 citations · 879 across the 13 of their papers we have counts for
13 papers
PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI
Jingfen Xie, Jian Zhang, Yongbing Zhang +1
Compressed Sensing MRI (CS-MRI) aims at reconstructing de-aliased images from sub-Nyquist sampling k-space data to accelerate MR Imaging, thus presenting two basic issues, i.e., wh…
Lensless coherent diffraction imaging based on spatial light modulator with unknown modulation curve
Hao Sha, Chao He, Shaowei Jiang +6
Lensless imaging is a popular research field for the advantages of small size, wide field-of-view and low aberration in recent years. However, some traditional lensless imaging met…
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging
Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong +2
Hyperspectral imaging is an essential imaging modality for a wide range of applications, especially in remote sensing, agriculture, and medicine. Inspired by existing hyperspectral…
Deep-3D Microscope: 3D volumetric microscopy of thick scattering samples using a wide-field microscope and machine learning
Bowen Li, Shiyu Tan, Jiuyang Dong +4
Confocal microscopy is the standard approach for obtaining volumetric images of a sample with high axial and lateral resolution, especially when dealing with scattering samples. Un…
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Zhuchen Shao, Hao Bian, Yang Chen +4
Multiple instance learning (MIL) is a powerful tool to solve the weakly supervised classification in whole slide image (WSI) based pathology diagnosis. However, the current MIL met…
Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction
Jiangpeng Yan, Shuo Chen, Yongbing Zhang +1
Recent works have demonstrated that deep learning (DL) based compressed sensing (CS) implementation can accelerate Magnetic Resonance (MR) Imaging by reconstructing MR images from…
OpenWSI: a low-cost, high-throughput whole slide imaging system via single-frame autofocusing and open-source hardware
Chengfei Guo, Zichao Bian, Shaowei Jiang +7
Recent advancements in whole slide imaging (WSI) have moved pathology closer to digital practice. Existing systems require precise mechanical control and the cost is prohibitive fo…
PgNN: Physics-guided Neural Network for Fourier Ptychographic Microscopy
Yongbing Zhang, Yangzhe Liu, Xiu Li +4
Fourier ptychography (FP) is a newly developed computational imaging approach that achieves both high resolution and wide field of view by stitching a series of low-resolution imag…
Rapid and robust whole slide imaging based on LED-array illumination and color-multiplexed single-shot autofocusing
Shaowei Jiang, Zichao Bian, Xizhi Huang +4
Background: The use of whole slide imaging (WSI) for digital pathology has recently been cleared for primary diagnosis in the US. A conventional WSI system scans the tissue slide t…
Full-field Fourier ptychography (FFP): spatially varying pupil modeling and its application for rapid field-dependent aberration metrology
Pengming Song, Shaowei Jiang, He Zhang +3
Digital aberration measurement and removal play a prominent role in computational imaging platforms aimed at achieving simple and compact optical arrangements. A recent important c…
On the Mathematical Understanding of ResNet with Feynman Path Integral
Minghao Yin, Xiu Li, Yongbing Zhang +1
In this paper, we aim to understand Residual Network (ResNet) in a scientifically sound way by providing a bridge between ResNet and Feynman path integral. In particular, we prove…
Near-field Fourier ptychography: super-resolution phase retrieval via speckle illumination
He Zhang, Shaowei Jiang, Jun Liao +4
Achieving high spatial resolution is the goal of many imaging systems. Designing a high-resolution lens with diffraction-limited performance over a large field of view remains a di…
Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks
Yuan Yuan, Siyuan Liu, Jiawei Zhang +3
We consider the single image super-resolution problem in a more general case that the low-/high-resolution pairs and the down-sampling process are unavailable. Different from tradi…