826 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Beijing Tongren HospitalCN10 papers
- Tsinghua UniversityCN10 papers
- Chinese Academy of SciencesCN7 papers
- Peking UniversityCN7 papers
- Beijing Chao-Yang Hospital, Capital Medical UniversityCN6 papers
- Beijing Friendship HospitalCN6 papers
- Beihang UniversityCN5 papers
- Beijing Tian Tan HospitalCN4 papers
- Chinese Academy of Medical Sciences & Peking Union Medical CollegeCN4 papers
- Sun Yat-sen UniversityCN4 papers
- Beijing Anzhen HospitalCN3 papers
- Beijing Tsinghua Chang Gung HospitalCN3 papers
15 papers · 1 filter
Versatile Cataract Fundus Image Restoration Model Utilizing Unpaired Cataract and High-quality Images
Zheng Gong, Zhuo Deng, Weihao Gao +7
Cataract is one of the most common blinding eye diseases and can be treated by surgery. However, because cataract patients may also suffer from other blinding eye diseases, ophthal…
Cycle-Constrained Adversarial Denoising Convolutional Network for PET Image Denoising: Multi-Dimensional Validation on Large Datasets with Reader Study and Real Low-Dose Data
Yucun Hou, Fenglin Zhan, Xin Cheng +7
Positron emission tomography (PET) is a critical tool for diagnosing tumors and neurological disorders but poses radiation risks to patients, particularly to sensitive populations.…
SliceMamba with Neural Architecture Search for Medical Image Segmentation
Chao Fan, Hongyuan Yu, Yan Huang +3
Despite the progress made in Mamba-based medical image segmentation models, existing methods utilizing unidirectional or multi-directional feature scanning mechanisms struggle to e…
HAGAN: Hybrid Augmented Generative Adversarial Network for Medical Image Synthesis
Zhihan Ju, Wanting Zhou, Longteng Kong +4
Medical Image Synthesis (MIS) plays an important role in the intelligent medical field, which greatly saves the economic and time costs of medical diagnosis. However, due to the co…
Anatomy-guided fiber trajectory distribution estimation for cranial nerves tractography
Lei Xie, Qingrun Zeng, Huajun Zhou +6
Diffusion MRI tractography is an important tool for identifying and analyzing the intracranial course of cranial nerves (CNs). However, the complex environment of the skull base le…
Automated interpretation of congenital heart disease from multi-view echocardiograms
Jing Wang, Xiaofeng Liu, Fangyun Wang +6
Congenital heart disease (CHD) is the most common birth defect and the leading cause of neonate death in China. Clinical diagnosis can be based on the selected 2D key-frames from f…
VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence
Jianing Qiu, Jian Wu, Hao Wei +39
We present VisionFM, a foundation model pre-trained with 3.4 million ophthalmic images from 560,457 individuals, covering a broad range of ophthalmic diseases, modalities, imaging…
DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences
Wentao Liu, Tong Tian, Lemeng Wang +11
The automated segmentation of Intracranial Arteries (IA) in Digital Subtraction Angiography (DSA) plays a crucial role in the quantification of vascular morphology, significantly c…
OMSN and FAROS: OCTA Microstructure Segmentation Network and Fully Annotated Retinal OCTA Segmentation Dataset
Peng Xiao, Xiaodong Hu, Ke Ma +4
The lack of efficient segmentation methods and fully-labeled datasets limits the comprehensive assessment of optical coherence tomography angiography (OCTA) microstructures like re…
A Transformer-based Generative Adversarial Network for Brain Tumor Segmentation
Liqun Huang, Long Chen, Baihai Zhang +1
Brain tumor segmentation remains a challenge in medical image segmentation tasks. With the application of transformer in various computer vision tasks, transformer blocks show the…
Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRI
Xiaohan Liu, Yanwei Pang, Ruiqi Jin +2
Purpose: To introduce a dual-domain reconstruction network with V-Net and K-Net for accurate MR image reconstruction from undersampled k-space data. Methods: Most state-of-the-art…
Deep Convolutional Neural Networks for Molecular Subtyping of Gliomas Using Magnetic Resonance Imaging
Dong Wei, Yiming Li, Yinyan Wang +2
Knowledge of molecular subtypes of gliomas can provide valuable information for tailored therapies. This study aimed to investigate the use of deep convolutional neural networks (D…
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification
Chuang Zhu, Wenkai Chen, Ting Peng +2
Deep learning-based histopathology image classification is a key technique to help physicians in improving the accuracy and promptness of cancer diagnosis. However, the noisy label…
DcardNet: Diabetic Retinopathy Classification at Multiple Levels Based on Structural and Angiographic Optical Coherence Tomography
Pengxiao Zang, Liqin Gao, Tristan T. Hormel +4
Objective: Optical coherence tomography (OCT) and its angiography (OCTA) have several advantages for the early detection and diagnosis of diabetic retinopathy (DR). However, automa…
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks
Yuhua Chen, Dan Ruan, Jiayu Xiao +6
Segmentation of multiple organs-at-risk (OARs) is essential for radiation therapy treatment planning and other clinical applications. We developed an Automated deep Learning-based…