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Cheng Jin
Biomedical Engineering
Shanghai Jiao Tong University
Shanghai
Language: Chinese, English
Contact
Ai Clinical Systems Disease Diagnosis Treatment Evaluation Prognosis Data Mining Deep Learning Big Data Multimodal Information Intelligent Diagnostics
Areas of Focus
  • Development of clinical-level AI systems for disease diagnosis, treatment evaluation, and prognosis prediction
Work Experience
  • 2018-2021 - Stanford University - Postdoctoral Researcher
  • 2021-present - Shanghai Jiao Tong University - Institute of Medical Robotics
Academic Background & Achievements
  • 2018 PhD: Tsinghua University
  • Postdoctoral research in medical AI at Stanford University
Publications
  • Development and Evaluation of an AI System for COVID-19 Diagnosis, Cheng Jin et al., 2020
  • Predicting treatment response from longitudinal images using multi-task deep learning, Cheng Jin et al., 2021
  • Voxel-Voxel Forecast for Lesion development in patients with COVID-19, Cheng Jin et al., 2020
  • Deep learning analysis of the primary tumour and the prediction of lymph node metastases in gastric cancer, Cheng Jin et al., 2021
  • Development and validation of a deep learning CT signature to predict survival and chemotherapy benefit in gastric cancer: a multicenter, retrospective study, Cheng Jin et al., 2021
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