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

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Showing 2020Show all

7 papers · 1 filter

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…