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
Digital Contrast CT Pulmonary Angiography Synthesis from Non-contrast CT for Pulmonary Vascular Disease
Ying Ming, Yue Lin, Longfei Zhao +6
Computed Tomography Pulmonary Angiography (CTPA) is the reference standard for diagnosing pulmonary vascular diseases such as Pulmonary Embolism (PE) and Chronic Thromboembolic Pul…
AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot Nuclei Detection via Visual-Language Pre-trained Models
Yongjian Wu, Yang Zhou, Jiya Saiyin +4
Large-scale visual-language pre-trained models (VLPMs) have demonstrated exceptional performance in downstream object detection through text prompts for natural scenes. However, th…
Lesion Localization in OCT by Semi-Supervised Object Detection
Yue Wu, Yang Zhou, Jianchun Zhao +4
Over 300 million people worldwide are affected by various retinal diseases. By noninvasive Optical Coherence Tomography (OCT) scans, a number of abnormal structural changes in the…
Multi-Modal Multi-Instance Learning for Retinal Disease Recognition
Xirong Li, Yang Zhou, Jie Wang +5
This paper attacks an emerging challenge of multi-modal retinal disease recognition. Given a multi-modal case consisting of a color fundus photo (CFP) and an array of OCT B-scan im…
Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation
Jingyang Zhang, Guotai Wang, Hongzhi Xie +4
The segmentation of coronary arteries in X-ray angiograms by convolutional neural networks (CNNs) is promising yet limited by the requirement of precisely annotating all pixels in…
Learn to Segment Retinal Lesions and Beyond
Qijie Wei, Xirong Li, Weihong Yu +8
Towards automated retinal screening, this paper makes an endeavor to simultaneously achieve pixel-level retinal lesion segmentation and image-level disease classification. Such a m…
Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction
Botong Wu, Zhen Zhou, Jianwei Wang +1
Refer to the literature of lung nodule classification, many studies adopt Convolutional Neural Networks (CNN) to directly predict the malignancy of lung nodules with original thora…