MingDe Lin
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Adjunct Associate Professor
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MingDe Lin is an Adjunct Associate Professor at Yale School of Medicine, USA. His research primarily focuses on advanced imaging techniques for cancer assessment, including volumetric measurements, machine learning applications in glioma grading, and the optimization of staging systems for hepatocellular carcinoma. He has contributed to several studies examining innovative methods for tumor response analysis and the use of artificial intelligence in clinical settings.
Recent Grants
Grant: Close
Quantitative Multimodal Image Guidance for Improved Liver Cancer Treatment
Open Date: 2016-08-01
Close Date: 2021-07-31
Grant: Close
See, Reach, Treat Tumor-Optimized Transarterial Chemoembolization Drug Delivery
Open Date: 2011-09-20
Close Date: 2016-07-31
Articles (10)
Collaborators (6)
Mario Strazzabosco
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Rafael Duran
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Lawrence Staib
Yale University
Lynn Jeanette Savic
Berlin Institute of Health at Charité - Universitätsmedizin Berlin
Seyedmehdi Payabvash
Assistant Professor
Yale University
Sanjay Aneja
Assistant Professor
Yale University School of Medicine
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