149 citations · 582 across the 49 of their papers we have counts for
6 papers · 1 filter
Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis
Zhongliang Li, Zhihao Jin, Xuechen Li +1
The Coronavirus disease 2019 (COVID-19) has rapidly spread all over the world since its first report in December 2019 and thoracic computed tomography (CT) has become one of the ma…
Neuron segmentation using 3D wavelet integrated encoder-decoder network
Qiufu Li, Linlin Shen
Motivation: 3D neuron segmentation is a key step for the neuron digital reconstruction, which is essential for exploring brain circuits and understanding brain functions. However,…
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation
Saqib Qamar, Parvez Ahmad, Linlin Shen
The brain tumor segmentation task aims to classify tissue into the whole tumor (WT), tumor core (TC), and enhancing tumor (ET) classes using multimodel MRI images. Quantitative ana…
Context Aware 3D UNet for Brain Tumor Segmentation
Parvez Ahmad, Saqib Qamar, Linlin Shen +1
Deep convolutional neural network (CNN) achieves remarkable performance for medical image analysis. UNet is the primary source in the performance of 3D CNN architectures for medica…
MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint
Xinpeng Xie, Jiawei Chen, Yuexiang Li +3
Domain shift between medical images from multicentres is still an open question for the community, which degrades the generalization performance of deep learning models. Generative…
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification
Wenting Chen, Shuang Yu, Junde Wu +5
Retinal artery/vein (A/V) classification lays the foundation for the quantitative analysis of retinal vessels, which is associated with potential risks of various cardiovascular an…