142 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of Medical Sciences & Peking Union Medical CollegeCN20 papers
- Peking UniversityCN3 papers
- Renmin University of ChinaCN3 papers
- Canon (Japan)JP2 papers
- Capital Medical UniversityCN2 papers
- China-Japan Friendship HospitalCN2 papers
- Chinese Academy of SciencesCN2 papers
- New York UniversityUS2 papers
- Shanghai Jiao Tong UniversityCN2 papers
- University of Electronic Science and Technology of ChinaCN2 papers
- Adobe Systems (United States)US1 paper
- Africa Health Research InstituteZA1 paper
7 papers · 1 filter
Deep Learning-Based Airway Segmentation in Systemic Lupus Erythematosus Patients with Interstitial Lung Disease (SLE-ILD): A Comparative High-Resolution CT Analysis
Sirong Piao, Ying Ming, Ruijie Zhao +11
To characterize lobar and segmental airway volume differences between systemic lupus erythematosus (SLE) patients with interstitial lung disease (ILD) and those without ILD (non-IL…
Bronchovascular Tree-Guided Weakly Supervised Learning Method for Pulmonary Segment Segmentation
Ruijie Zhao, Zuopeng Tan, Xiao Xue +10
Pulmonary segment segmentation is crucial for cancer localization and surgical planning. However, the pixel-wise annotation of pulmonary segments is laborious, as the boundaries be…
High Accuracy Pulmonary Vessel Segmentation for Contrast and Non-contrast CT Images and Clinical Evaluation
Ying Ming, Shaoze Luo, Longfei Zhao +4
Accurate segmentation of pulmonary vessels plays a very critical role in diagnosing and assessing various lung diseases. Currently, many automated algorithms are primarily targeted…
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
Francesco Santini, Jakob Wasserthal, Abramo Agosti +11
Purpose: To present and evaluate Dafne (deep anatomical federated network), a freely available decentralized, collaborative deep learning system for the semantic segmentation of ra…
SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation
Jingyang Zhang, Ran Gu, Guotai Wang +2
The segmentation of coronary arteries by convolutional neural network is promising yet requires a large amount of labor-intensive manual annotations. Transferring knowledge from re…
SuperDTI: Ultrafast diffusion tensor imaging and fiber tractography with deep learning
Hongyu Li, Zifei Liang, Chaoyi Zhang +9
Purpose: To propose a deep learning-based reconstruction framework for ultrafast and robust diffusion tensor imaging and fiber tractography. Methods: We propose SuperDTI to learn t…
Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography
Yuanyuan Lyu, Wei-An Lin, Haofu Liao +2
Metal artifact reduction (MAR) in computed tomography (CT) is a notoriously challenging task because the artifacts are structured and non-local in the image domain. However, they a…