Deep Learning in Brain Quantification and Cancer Radiotherapy
讲座名称：
Deep Learning in Brain Quantification and Cancer Radiotherapy
讲座时间：
2018-08-23
讲座人：
Dinggang Shen
形式：
校区：
兴庆校区
实践学分：
讲座内容：
讲座题目：“Deep Learning in Brain Quantification and Cancer Radiotherapy”
讲座时间：2018年8月23日 9:00-10:00
讲座地点：西安交通大学 中3-1300
讲座摘要:
This talk will introduce some of our recentdeep learning workaccepted in the top Medical AI conference, namely MICCAI 2018. Specifically, for automatic quantification of early brain development in the firstyear of life,i.e., with the goal of early identification of brain diseases such as autism, deep learning based brain image segmentation and cortical surface parcellation have been developed. For early diagnosis of Alzheimer’s Disease (AD) with the goal of possible early treatment, deep learning has been applied to unsupervised brain registration for precise inter-subject comparison, distinctive-regions based disease diagnosis, and resting-state fMRI based early MCI (Mild Cognitive Impairment) diagnosis.Besides, for effective treatment of prostate cancer, especially for MRI-based cancer treatment, a novel context-aware GAN (Generative Adversarial Networks) has been developed for synthesizing CT from MRI. Also, two novel deep learning techniques have been developed for automatic and precise segmentation of pelvic organs from planning CT imagesto better guideradiotherapy. Both clinical significance of each medical problem and the motivation of each developed technique will be clarified in this talk.
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