Yingjian Yang
Shenzhen, 518119, China
Last Updated: 09/26/2026
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Found 24 publications
Two-stage universal liver cancer segmentation network for 3D dual-modality abdominal nuclear medical images based on mixed-label and multi-type training strategy.
Journal: Journal of X-ray science and technology
Published: April 15, 2026
Enhanced preoperative prediction for microvascular invasion in hepatocellular carcinoma through an optimized MR Radiomics combination strategy and machine learning predictor.
Journal: Frontiers in medicine
Published: December 10, 2025
BLoss-DDNet: bending loss and dual-task decoding network for overlapping cell nucleus segmentation of cervical clinical LBC images.
Journal: Frontiers in artificial intelligence
Published: June 20, 2025
Optimizing acute ischemic stroke outcome prediction by integrating radiomics features of DSC-PWI and perfusion parameter maps.
Journal: Frontiers in neurology
Published: November 15, 2024
An optimization method for hemi-diaphragm measurement of dynamic chest X-ray radiography during respiration based on graphics and diaphragm motion consistency criterion.
Journal: Frontiers in physiology
Published: November 14, 2024
Three-stage registration pipeline for dynamic lung field of chest X-ray images based on convolutional neural networks.
Journal: Frontiers in artificial intelligence
Published: July 18, 2024
Hemi-diaphragm detection of chest X-ray images based on convolutional neural network and graphics.
Journal: Journal of X-ray science and technology
Published: July 12, 2024
Ischemic perfusion radiomics: assessing neurological impairment in acute ischemic stroke.
Journal: Frontiers in neurology
Published: May 30, 2024
Automatic cardiothoracic ratio calculation based on lung fields abstracted from chest X-ray images without heart segmentation.
Journal: Frontiers in physiology
Published: April 13, 2024
Ischemic stroke outcome prediction with diversity features from whole brain tissue using deep learning network.
Journal: Frontiers in neurology
Published: March 02, 2024
Adaptive Feature Medical Segmentation Network: an adaptable deep learning paradigm for high-performance 3D brain lesion segmentation in medical imaging.
Journal: Frontiers in neuroscience
Published: December 31, 2023
The Combination of Whole-Brain Features and Local-Lesion Features in DSC-PWI May Improve Ischemic Stroke Outcome Prediction.
Journal: Life (Basel, Switzerland)
Published: September 26, 2022
Last Updated: 09/26/2026