SY
Shan Yang
University Hospital of Basel, University Medical Center Freiburg, Otto-von-Guericke-Universität Magdeburg
Research areas: Medicine · Radiology, Nuclear Medicine and Imaging · Medical Image Segmentation Techniques · Artificial Intelligence in Healthcare and Education · COVID-19 diagnosis using AI
0000-0002-5209-0576
Employment
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University Hospital of Basel Software Engineer2019 - Present
- 2015 - 2019
- 2010 - 2014
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (38)
- Fully Automated Quantification of Functional Small Airway Disease at Inspiratory and Expiratory Chest CT Using Deep Learning Save
- Automated detection of gallbladder stones using a deep learning algorithm on computed tomography scans Save
- Liver Segment and Lesion Segmentation on CT and MRI: An Open-Source Contribution to TotalSegmentator Save
- Correction: Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI Save
- Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI Save
- A deep learning pipeline for systematic and accurate vertebral fracture reporting in computed tomography Save
- TotalSegmentator MRI: Sequence-Independent Segmentation of 59 Anatomical Structures in MR images Save
- Automated lung cancer assessment on 18F-PET/CT using Retina U-Net and anatomical region segmentation Save
- Impact of retraining a deep learning algorithm for improving guideline-compliant aortic diameter measurements on non-gated chest CT Save
- Pulmonary transit time of cardiovascular magnetic resonance perfusion scans for quantification of cardiopulmonary haemodynamics Save
- TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images Save
- Associations between fully-automated, 3Dbased functional analysis of the left atrium and classification schemes in atrial fibrillation Save
- Automated Detection, Segmentation, and Classification of Pericardial Effusions on Chest CT Using a Deep Convolutional Neural Network Save
- Automated Detection, Segmentation, and Classification of Pleural Effusion from Computed Tomography Scans Using Machine Learning Save
- Automated lung vessel segmentation reveals blood vessel volume redistribution in viral pneumonia Save
- Automated quantification of airway wall thickness on chest CT using retina U-Nets – Performance evaluation and application to a large cohort of chest CTs of COPD patients Save
- Performance of a deep learning tool to detect missed aortic dilatation in a large chest CT cohort Save
- Segment and Slice: A Two-Step Deep Learning Pipeline for Opportunistic Vertebral Fracture Detection in Computed Tomography Save
- TotalSegmentator: Robust Segmentation of 104 Anatomical Structures in CT images Save
- Atri-U: assisted image analysis in routine cardiovascular magnetic resonance volumetry of the left atrium Save