Research Presentation Sessions: Imaging Informatics / Artificial Intelligence and Machine Learning

RPS 1705b - Artificial intelligence in brain imaging

Lectures

1
A cautionary tale about lesion detection performance evaluation in multiple sclerosis

A cautionary tale about lesion detection performance evaluation in multiple sclerosis

08:00Veronica Munoz Ramirez, La Tronche / FR

2
Radiomics-based machine learning methods for the prediction of acoustic neuroma response to Cyberknife treatment: a multicenter study

Radiomics-based machine learning methods for the prediction of acoustic neuroma response to Cyberknife treatment: a multicenter study

08:00Silvia Gonella, Milan / IT

3
Segmentation of MS lesions: accuracy of mdbrain 4.5 versus a pool of human experts

Segmentation of MS lesions: accuracy of mdbrain 4.5 versus a pool of human experts

08:00Andreas Lemke, Berlin / DE

4
K-space based deep learning reconstruction empowers 50% acceleration of MR spine imaging: a prospective multicentre, multireader trial

K-space based deep learning reconstruction empowers 50% acceleration of MR spine imaging: a prospective multicentre, multireader trial

08:00Lawrence Tanenbaum, RIVERSIDE / US

5
mdbrain vs. FreeSurfer & SPM: repeatability and performance of different methods for brain volumetry

mdbrain vs. FreeSurfer & SPM: repeatability and performance of different methods for brain volumetry

08:00Jens Opalka, Berlin / DE