Linyang He - Publications

Deep learning for Three-Class Classification of ground-glass nodules on non-enhanced chest CT: A multicenter comparative study of CNN architectures.

Journal: European journal of radiology open

Published: July 01, 2025

To Compare the Application Value of Different Deep Learning Models Based on CT in Predicting Visceral Pleural Invasion of Non-small Cell Lung Cancer: A Retrospective, Multicenter Study.

Journal: Academic radiology

Published: May 13, 2025

Research on a deep learning-based model for measurement of X-ray imaging parameters of atlantoaxial joint.

Journal: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society

Published: December 23, 2024

Automatic measurement of X-ray radiographic parameters based on cascaded HRNet model from the supraspinatus outlet radiographs.

Journal: Quantitative imaging in medicine and surgery

Published: July 06, 2024

Predicting Lymphovascular Invasion in Non-small Cell Lung Cancer Using Deep Convolutional Neural Networks on Preoperative Chest CT.

Journal: Academic radiology

Published: March 24, 2024

Automatic measurement of anatomical parameters of the lumbar vertebral body and the intervertebral disc on radiographs by deep learning.

Journal: Quantitative imaging in medicine and surgery

Published: December 29, 2023

Evaluation of the invasiveness of pure ground-glass nodules based on dual-head ResNet technique.

Journal: BMC cancer

Published: October 25, 2023

Prediction of short-term progression of COVID-19 pneumonia based on chest CT artificial intelligence: during the Omicron epidemic.

Journal: BMC infectious diseases

Published: September 06, 2023

Radiomics analysis of contrast-enhanced computerized tomography for differentiation of gastric schwannomas from gastric gastrointestinal stromal tumors.

Journal: Journal of cancer research and clinical oncology

Published: August 16, 2023

Prediction of early hematoma expansion of spontaneous intracerebral hemorrhage based on deep learning radiomics features of noncontrast computed tomography.

Journal: European radiology

Published: June 01, 2023

Performance evaluation of a deep learning-based cascaded HRNet model for automatic measurement of X-ray imaging parameters of lumbar sagittal curvature.

Journal: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society

Published: April 03, 2023

Sagittal intervertebral rotational motion: a deep learning-based measurement on flexion-neutral-extension cervical lateral radiographs.

Journal: BMC musculoskeletal disorders

Published: July 25, 2022