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Invited Talk: Deep Learning and the Future of Medical Imaging

Third webinar on innovative approaches in MedTech of the IEEE EMBS Student Chapter TU Munich & VDE-IEEE Hochschulgruppe

Speaker: Prof. Dr. Daniel Rückert (TU München)

Date & Place: May 27, 2021  |  6:00 pm - 7:00  pm (GMT +1)   |  online

Registration:  register here

 

About the talk

The talk will focus on the use of deep learning techniques for the discovery and quantification of clinically useful information from medical images. In particular, we will describe how deep learning can be used for the reconstruction of medical images from undersampled data, image super-resolution, image segmentation, and image classification. I will also show the clinical utility of applications of deep learning for the interpretation of medical images in applications such as brain tumour segmentation, cardiac image analysis, and applications in neonatal and fetal imaging. Finally, we will be discussing how deep learning may change the future of medical imaging

 

About the IEEE EMBS Student Chapter Munich

The aim of the recently activated IEEE EMB Student Chapter Munich is to provide the students a community of peers, and a connection to faculty and industry professionals who drive innovation in the field of Engineering in Medicine and Biology (EMB). We organize once per month a one-hour online Guest Lecture of an interesting topic related to MedTech.

Contact IEEE EMBS Student Chapter Munich
If you are interested in more similar events or in the chapter, follow the IEEE EMBS Student Chapter Munich on Facebook or get in contact via email