Medical Physics Seminar - AI in medical imaging: from scan planning to report generation - Tuesday 10 December 2024 at 11.30 am
Infopoint
infopoint at ictp.it
Mon Dec 9 12:01:37 CET 2024
_Medical Physics Seminar
_
*'AI in medical imaging: from scan planning to report generation' by Dr
Christophe Schülke from SISSA
*
_Abstract:_
__The AI boom in the last 10 years largely builds on the early success
of deep convolutional neural networks (CNNs) in image classification. In
healthcare, diagnostic imaging has thus logically been one of the early
adopters of the newly developed technologies. Beyond image
classification for automated diagnosis, CNNs and their offsprings have
successfully been applied to different steps of the image production
chain such as system calibration, image reconstruction and image
denoising. The use of AI also promises to alleviate different
bottlenecks in the imaging workflow, with the aim of reducing
misdiagnosis and staff workload while increasing patient throughput.
This seminar will give an overview of some of these current and
potential applications of AI in medical imaging. The focus will be on
general principles and achieved benefits rather than on the technical
aspects of deep learning.
Also via zoom:_
_
ID: 970 9571 9958
PSW: 082024
Link: https://zoom.us/j/97095719958_
_
The Seminar will take place on _Tuesday, 10 December 2024 at 11:30 am_
(Central European Time)
In Presence: Leonardo Building -_Luigi Stasi Seminar Room_
Christophe Schülke studied physics in France and in Switzerland, where
he first came across biomedical engineering. During his master thesis
project, he worked on for first-pass perfusion in cardiac magnetic
resonance imaging. Fascinated by the complex algorithms used for image
reconstruction, he sought to get a better understanding of them by
pursuing a PhD. There, he applied methods from statistical physics to
study information-theoretical aspects of inverse problems.
After his PhD defense in 2016, he joined the Philips research lab in
Hamburg. In the following years, he designed and optimized image
reconstruction algorithms for accelerated and motion-robust MRI and CT.
He recently joined SISSA as a research fellow in the field of
neuroscience, but remains very attached to medical imaging.
Indico webpage for this seminar: https://indico.ictp.it/event/10910/
The MMP Programme
ICTP - The Abdus Salam International Centre for Theoretical Physics
Strada Costiera, 11
I - 34151 Trieste
Italy
Tel. +39-040-2240487
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