activity
20202023
most citedDual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation

4 citations · 9 across the 5 of their papers we have counts for

collaborators

6 papers

eess.IV2023★ 2 cited

Attention-based 3D CNN with Multi-layer Features for Alzheimer's Disease Diagnosis using Brain Images

Yanteng Zhang, Qizhi Teng, Xiaohai He +4

Structural MRI and PET imaging play an important role in the diagnosis of Alzheimer's disease (AD), showing the morphological changes and glucose metabolism changes in the brain re…

cs.CV2022

Multi-modal learning for predicting the genotype of glioma

Yiran Wei, Xi Chen, Lei Zhu +4

The isocitrate dehydrogenase (IDH) gene mutation is an essential biomarker for the diagnosis and prognosis of glioma. It is promising to better predict glioma genotype by integrati…

eess.IV2022★ 2 cited

Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading

Lipei Zhang, Yiran Wei, Ying Fu +3

Whole slide images (WSI) provide valuable phenotypic information for histological assessment and malignancy grading of tumors. The WSI-based grading promises to provide rapid diagn…

eess.IV2020

Metastatic Cancer Image Classification Based On Deep Learning Method

Guanwen Qiu, Xiaobing Yu, Baolin Sun +2

Using histopathological images to automatically classify cancer is a difficult task for accurately detecting cancer, especially to identify metastatic cancer in small image patches…

eess.IV2020★ 4 cited

Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation

Lipei Zhang, Aozhi Liu, Jing Xiao +1

A number of methods based on deep learning have been applied to medical image segmentation and have achieved state-of-the-art performance. Due to the importance of chest x-ray data…

cs.CV2020★ 1 cited

Residual Recurrent CRNN for End-to-End Optical Music Recognition on Monophonic Scores

Aozhi Liu, Lipei Zhang, Yaqi Mei +4

One of the challenges of the Optical Music Recognition task is to transcript the symbols of the camera-captured images into digital music notations. Previous end-to-end model which…