Chengjia Wang
Scholar

Chengjia Wang

Google Scholar ID: lwV4KfwAAAAJ
Heriot-Watt University
machine learningdeep learningmedical imagingartificial intelligencecomputer vision
Citations & Impact
All-time
Citations
2,724
 
H-index
24
 
i10-index
38
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - Low-attenuation non-calcified plaque on coronary CT angiography predicts myocardial infarction - results from the Multicenter SCOT-HEART trial, accepted by Circulation.
  • - Launched a project about B-cell lymphoma, collaborating with Shuren University and Shulan Hospital.
  • - FIRE: unsupervised bi-directional inter-modality registration using deep networks, under minor revision at CMIG.
  • - A paper about zero-shot image segmentation, major revision at IEEE TMI.
  • - A paper about brain aging synthesis, submitted to IEEE TMI.
  • - Multiple papers published in MICCAI-MLMIR 2019, IEEE TII, Medical Image Analysis 2019, IEEE Access, PSMR 8th conference on PET/MR and SPECT/MR, etc.
Research Experience
  • Machine Learning Research Fellow for Medical Imaging at BHF Centre for Cardiovascular Science, University of Edinburgh, UK.
Background
  • Research Interests: Machine Learning in Medicine, Data Analysis, Computational Healthcare, Internet of Things. Focuses on the application of cutting-edge machine learning technology to medical data analysis and clinical decision-making, including object detection, segmentation, and quantification in medical images, as well as multimodal (e.g., image, genetic, and molecular data) fusion, simulation, cross-domain synthesis, lifelong learning for automatic diagnosis and treatment planning with imperfect data. Recently, his research has focused on the interpretability and generalizability of deep learning models.
Co-authors
0 total
Co-authors: 0 (list not available)