activity
20202023
most citedADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images

80 citations · 109 across the 13 of their papers we have counts for

collaborators

14 papers

q-bio.NC2023

Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI

Qiankun Zuo, Baiying Lei, Ning Zhong +2

Integrating the brain structural and functional connectivity features is of great significance in both exploring brain science and analyzing cognitive impairment clinically. Howeve…

cs.AI2023

Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline

Xuhang Chen, Baiying Lei, Chi-Man Pun +1

Brain network analysis is essential for diagnosing and intervention for Alzheimer's disease (AD). However, previous research relied primarily on specific time-consuming and subject…

eess.IV2022

REFUGE2 Challenge: A Treasure Trove for Multi-Dimension Analysis and Evaluation in Glaucoma Screening

Huihui Fang, Fei Li, Junde Wu +25

With the rapid development of artificial intelligence (AI) in medical image processing, deep learning in color fundus photography (CFP) analysis is also evolving. Although there ar…

eess.IV2022★ 80 cited

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images

Huihui Fang, Fei Li, Huazhu Fu +28

Age-related macular degeneration (AMD) is the leading cause of visual impairment among elderly in the world. Early detection of AMD is of great importance, as the vision loss cause…

eess.IV2021

Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN

Wen Yu, Baiying Lei, Yanyan Shen +5

The diagnosis of early stages of Alzheimer's disease (AD) is essential for timely treatment to slow further deterioration. Visualizing the morphological features for the early stag…

eess.IV2021★ 2 cited

3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image

Bowen Hu, Baiying Lei, Shuqiang Wang +4

3D shape reconstruction is essential in the navigation of minimally-invasive and auto robot-guided surgeries whose operating environments are indirect and narrow, and there have be…

eess.IV2021

A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions

Wei Wang, Xiang-Gen Xia, Chuanjiang He +4

In this paper, we first present an arc based algorithm for fan-beam computed tomography (CT) reconstruction via applying Katsevich's helical CT formula to 2D fan-beam CT reconstruc…

eess.IV2020★ 2 cited

Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain

Senrong You, Yong Liu, Baiying Lei +1

Magnetic resonance imaging plays an important role in computer-aided diagnosis and brain exploration. However, limited by hardware, scanning time and cost, it's challenging to acqu…

eess.IV2020

A model-guided deep network for limited-angle computed tomography

Wei Wang, Xiang-Gen Xia, Chuanjiang He +4

In this paper, we first propose a variational model for the limited-angle computed tomography (CT) image reconstruction and then convert the model into an end-to-end deep network.W…

eess.IV2020★ 5 cited

Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis

Shengye Hu, Baiying Lei, Yong Wang +3

Fusing multi-modality medical images, such as MR and PET, can provide various anatomical or functional information about human body. But PET data is always unavailable due to diffe…

cs.LG2020★ 5 cited

Tensorizing GAN with High-Order Pooling for Alzheimer's Disease Assessment

Wen Yu, Baiying Lei, Michael K. Ng +3

It is of great significance to apply deep learning for the early diagnosis of Alzheimer's Disease (AD). In this work, a novel tensorizing GAN with high-order pooling is proposed to…

eess.IV2020★ 1 cited

Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network

Shuqiang Wang, Zhuo Chen, Wen Yu +1

The state-of-the-art deep learning methods have demonstrated impressive performance in segmentation tasks. However, the success of these methods depends on a large amount of manual…

stat.AP2020★ 12 cited

Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression

Feng Zhou, Tao Chen, Baiying Lei

Amid the ongoing COVID-19 pandemic, whether COVID-19 patients with high risks can be recovered or not depends, to a large extent, on how early they will be treated appropriately be…

eess.IV2020★ 2 cited

High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Glioma Segmentation

Mohammad Hamghalam, Baiying Lei, Tianfu Wang

Magnetic resonance imaging (MRI) provides varying tissue contrast images of internal organs based on a strong magnetic field. Despite the non-invasive advantage of MRI in frequent…