Research Presentation Sessions: Imaging Informatics / Artificial Intelligence and Machine Learning
RPS 1505 - Artificial intelligence (AI) in neuroimaging
Lectures
1
Real-life evaluation of the AI-based neuroradiology suite mdbrain
08:00Jens Opalka, Berlin / DE
2
Comparison of 3 deep learning models to perform a multiclass CT-scan segmentation of traumatic brain lesions: trained from scratch vs pre-trained vs fine-tuned
08:00Clément Brossard, Villeurbanne / FR
3
Deep learning super-resolution MR spectroscopic imaging of brain metabolism and mutant IDH glioma
08:00Ovidiu Andronesi, Charlestown / US
4
A deep learning algorithm for the automatic detection of intracranial haemorrhage on CT head imaging
08:00Melissa Yeo, Melbourne / AU
5
Convolutional neural network-based segmentation of the posterior limb of the internal capsule correlates with motor outcome in very preterm neonates
08:00Malik Galijašević, Innsbruck / AT
6
Application of automatic segmentation on super-resolution reconstruction MRI images of the abnormal fetal brain
08:00Thomas Deprest, Aalst / BE
7
Automated detection of MCI to Alzheimer's disease conversion before clinical onset by evaluation of atrophy rates
08:00Tobias Lindig, Tübingen / DE
8
AI-based prediction of onset of intracerebral hemorrhage: potential and limits
08:00Thilo Rusche, Basel / CH
9
MRI-based prediction of AD progression from MCI using deep learning
08:00Wooseok Jung, Seoul / KR
10
Comparative performance of AI algorithm using MRI for the diagnosis of Alzheimer’s disease: can MRI replace PET?
08:00Wooseok Jung, Seoul / KR
