Time: 15.30-16.30
Date: Thursday 20 June
Location: In Person | I-X Conference Room | Level 5
Translation and Innovation Hub (I-HUB)
Imperial White City Campus
84 Wood Lane
London W12 0BZ
Dr Chen Qin is a Lecturer in Computer Vision and Machine Learning at Department of Electrical and Electronic Engineering and I-X, Imperial College London. Her research is interdisciplinary in nature and at the intersection between machine learning and medical imaging. Her current research mainly focuses on the development of trustworthy and robust machine learning algorithms for multimodal medical image computing and analysis.
Deep Learning Meets Medical Imaging
Deep learning has shown great potential in improving the entire medical imaging workflow, from image acquisition to disease treatment. This talk will focus on the recent advances of deep learning in medical imaging, from the reconstruction of signals to quantification of clinically useful information. My team and I will talk about our recent research works on model-based deep learning in MRI reconstruction and the utility of deep learning in medical image analysis.
In his Inaugural Lecture, Professor Hamed Haddadi discusses his academic journey towards building networked systems.
This workshop aims to bring together researchers in stochastic analysis, statistics and theoretical machine learning for an exchange of ideas at the forefront of the field. The
Join the winter edition of Multi-Service Networks workshop, which will cover all aspects of networked systems.
