Yunpeng Wang
Shanghai, China
Last Updated: 09/26/2026
Save publications for later
Sign Up
Not sure about your diagnosis?
Check Your Symptoms
Found 8 publications
An uncertainty-aware self-training framework with consistency regularization for the multilabel classification of common computed tomography signs in lung nodules.
Journal: Quantitative imaging in medicine and surgery
Published: January 19, 2023
A graph neural network model for the diagnosis of lung adenocarcinoma based on multimodal features and an edge-generation network.
Journal: Quantitative imaging in medicine and surgery
Published: January 03, 2023
Modeling long-range dependencies for weakly supervised disease classification and localization on chest X-ray.
Journal: Quantitative imaging in medicine and surgery
Published: November 18, 2021
CT-based radiomics for differentiating invasive adenocarcinomas from indolent lung adenocarcinomas appearing as ground-glass nodules: Asystematic review.
Journal: European journal of radiology
Published: June 24, 2021
Development and Validation a Nomogram Incorporating CT Radiomics Signatures and Radiological Features for Differentiating Invasive Adenocarcinoma From Adenocarcinoma In Situ and Minimally Invasive Adenocarcinoma Presenting as Ground-Glass Nodules Measuring 5-10mm in Diameter.
Journal: Frontiers in oncology
Published: October 18, 2020
Combination of generative adversarial network and convolutional neural network for automatic subcentimeter pulmonary adenocarcinoma classification.
Journal: Quantitative imaging in medicine and surgery
Published: June 19, 2020
Rottlerin acts as a therapeutic in primary open-angle glaucoma by targeting the trabecular meshwork via activation of Rap1 signaling.
Journal: Pharmacological research
Published: September 03, 2019
Unimolecular Micelles from Layered Amphiphilic Dendrimer-Like Block Copolymers.
Journal: ACS macro letters
Published: April 19, 2016
Showing 1-8 of 8
Last Updated: 09/26/2026